Subjects -> COMMUNICATIONS (Total: 518 journals)
    - COMMUNICATIONS (446 journals)
    - DIGITAL AND WIRELESS COMMUNICATION (31 journals)
    - HUMAN COMMUNICATION (19 journals)
    - MEETINGS AND CONGRESSES (7 journals)
    - RADIO, TELEVISION AND CABLE (15 journals)

COMMUNICATIONS (446 journals)            First | 1 2 3 | Last

Showing 201 - 400 of 480 Journals sorted alphabetically
Magnetic Resonance Materials in Physics, Biology and Medicine     Hybrid Journal   (Followers: 3)
McMaster Journal of Communication     Open Access   (Followers: 1)
Media & Jornalismo     Open Access  
Media & Viestintä     Open Access   (Followers: 1)
Media and Communication     Open Access   (Followers: 15)
Media International Australia     Hybrid Journal   (Followers: 4)
Mediaciones     Open Access  
Mediaciones Sociales     Open Access  
MediaTropes     Open Access   (Followers: 3)
Medical Writing     Hybrid Journal   (Followers: 4)
MedieKultur. Journal of media and communication research     Open Access   (Followers: 12)
Metaphor and the Social World     Hybrid Journal   (Followers: 2)
Middle East Journal of Culture and Communication     Hybrid Journal   (Followers: 5)
Middle East Media Educator     Open Access   (Followers: 2)
Myth & Symbol     Hybrid Journal   (Followers: 8)
Narrative Culture     Full-text available via subscription   (Followers: 3)
NAUS : Revista Lusófona de Estudos Culturais e Comunicacionais     Open Access   (Followers: 1)
Netcom     Open Access  
Neuroimaging Clinics of North America     Full-text available via subscription   (Followers: 4)
New Media and Mass Communication     Open Access   (Followers: 32)
New Review of Film and Television Studies     Hybrid Journal   (Followers: 27)
Nonprofit Communications Report     Hybrid Journal   (Followers: 3)
Nordic Journal of Media Management     Open Access   (Followers: 3)
Nordic Journal of Media Studies     Open Access   (Followers: 2)
Norsk medietidsskrift     Open Access  
Nueva Revista del Pacífico     Open Access  
Observatorio (OBS*)     Open Access  
Oficios Terrestres     Open Access  
Open Medical Informatics Journal     Open Access  
Pacific Asia Journal of the Association for Information Systems     Open Access   (Followers: 3)
Palabra Clave     Open Access   (Followers: 1)
Pediatric Radiology     Hybrid Journal   (Followers: 7)
Pixel-Bit. Revista de Medios y Educacion     Open Access  
Porn Studies     Hybrid Journal   (Followers: 6)
post(s)     Open Access  
Pragmatics and Society     Hybrid Journal   (Followers: 12)
PragMATIZES : Latin American Journal of Cultural Studies     Open Access   (Followers: 1)
PRISMA.COM     Open Access  
Proceedings of the American Society for Information Science and Technology     Hybrid Journal   (Followers: 26)
Public Journal of Semiotics     Open Access   (Followers: 1)
Public Relations Review     Hybrid Journal   (Followers: 15)
Punto Cero     Open Access  
Quaderni     Open Access  
Qualitative Research Reports in Communication     Hybrid Journal   (Followers: 11)
Qualitative Studies     Open Access   (Followers: 12)
Quality and User Experience     Hybrid Journal   (Followers: 6)
Quarterly Journal of Speech     Hybrid Journal   (Followers: 15)
Quarterly Review of Film and Video     Hybrid Journal   (Followers: 21)
Question     Open Access  
Questions de communication     Open Access  
Radioelectronics and Communications Systems     Hybrid Journal   (Followers: 1)
REDD : Revista de estudios del discurso digital     Open Access  
Research Journal of Information Technology     Open Access   (Followers: 2)
Review of Cognitive Linguistics     Hybrid Journal   (Followers: 6)
Revista Contracampo     Open Access  
Revista ECO-Pós     Open Access  
Revista Eletrônica de Comunicação, Informação & Inovação em Saúde     Open Access  
Revista Mediação     Open Access  
Revue de recherches en littératie médiatique multimodale     Open Access  
Revue française des sciences de l’information et de la communication     Open Access   (Followers: 2)
RIHC : Revista Internacional de Historia de la Comunicación     Open Access  
Russian Journal of Communication     Hybrid Journal  
Schermi. Storie e culture del cinema e dei media in Italia     Open Access  
Science China Information Sciences     Hybrid Journal   (Followers: 3)
Scientific Bulletin     Open Access   (Followers: 1)
Screen     Hybrid Journal   (Followers: 20)
Seminars in Interventional Radiology     Hybrid Journal   (Followers: 8)
Semiotika     Open Access  
Sensorium Journal     Open Access  
Seton Hall Journal of Sports and Entertainment Law     Open Access   (Followers: 3)
Sexualization, Media, & Society     Open Access   (Followers: 3)
SIGDOC Communication Design Quarterly     Full-text available via subscription   (Followers: 3)
Sign Language & Linguistics     Hybrid Journal   (Followers: 3)
Sign Language Studies     Full-text available via subscription   (Followers: 5)
Social Communication     Open Access   (Followers: 2)
Social Interaction : Video-Based Studies of Human Sociality     Open Access   (Followers: 2)
Social Networking     Open Access   (Followers: 3)
Solid State Nuclear Magnetic Resonance     Hybrid Journal   (Followers: 3)
Sound Studies : An Interdisciplinary Journal     Hybrid Journal   (Followers: 3)
South African Journal of Communication Disorders     Open Access   (Followers: 1)
Speech, Language and Hearing     Hybrid Journal   (Followers: 16)
Studies in Asian Social Science     Open Access  
Technical Communication     Full-text available via subscription   (Followers: 7)
Telecommunication Systems     Hybrid Journal   (Followers: 4)
Terminology     Hybrid Journal   (Followers: 4)
The Communication Review     Hybrid Journal   (Followers: 5)
The Post     Open Access  
Tic & société     Open Access  
Tidsskrift for Medier, Erkendelse og Formidling     Open Access  
Tijdschrift voor Communicatiewetenschappen     Full-text available via subscription   (Followers: 4)
Transactions on Emerging Telecommunications Technologies     Hybrid Journal   (Followers: 4)
tripleC : Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society     Open Access   (Followers: 9)
Trípodos     Open Access  
Turkish Review of Communication Studies     Open Access  
Ukrainian Information Space     Open Access  
University of Sindh Journal of Information and Communication Technology     Open Access  
Virtualidad, Educación y Ciencia     Open Access  
Vivat Academia     Open Access  
Wacana : Jurnal Sosial dan Humaniora     Open Access  
Women's Studies in Communication     Hybrid Journal   (Followers: 5)
ZER : Revista de Estudios de Comunicación = Komunikazio Ikasketen Aldizkaria     Open Access  

  First | 1 2 3 | Last

Similar Journals
Journal Cover
Science China Information Sciences
Journal Prestige (SJR): 0.462
Citation Impact (citeScore): 2
Number of Followers: 3  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1674-733X - ISSN (Online) 1869-1919
Published by Springer-Verlag Homepage  [2468 journals]
  • A column-shared histogramming TDC with pixel-to-pixel coincidence
           detection and compact analog counters for Flash LiDAR sensor

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      Abstract: Conclusion This study presents a column-shared hTDC with pixel-to-pixel coincidence detection and compact analog pulse counters. The column-shared architecture allows the hTDC to have no large area consumption caused by ADC and memories in pixels. Thanks to the pixel-to-pixel coincidence detection, only one SPAD is needed in each pixel. The application of the analog counter greatly reduces the area occupied by the counter. The simulation results show that the proposed hTDC can effectively reduce the pixel area while ensuring accuracy under high background light conditions, so it is suitable for outdoor applications.
      PubDate: 2024-07-10
       
  • Learning in games: a systematic review

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      Abstract: Abstract Game theory studies the mathematical models for self-interested individuals. Nash equilibrium is arguably the most central solution in game theory. While finding the Nash equilibrium in general is known as polynomial parity arguments on directed graphs (PPAD)-complete, learning in games provides an alternative to approximate Nash equilibrium, which iteratively updates the player’s strategy through interactions with other players. Rules and models have been developed for learning in games, such as fictitious play and no-regret learning. Particularly, with recent advances in online learning and deep reinforcement learning, techniques from these fields greatly boost the breakthroughs in learning in games from theory to application. As a result, we have witnessed many superhuman game AI systems. The techniques used in these systems evolve from conventional search and learning to purely reinforcement learning (RL)-style learning methods, gradually getting rid of the domain knowledge. In this article, we systematically review the above techniques, discuss the trend of basic learning rules towards a unified framework, and recap applications in large games. Finally, we discuss some future directions and make the prospect of future game AI systems. We hope this article will give some insights into designing novel approaches.
      PubDate: 2024-06-28
       
  • Explainable-AI-based two-stage solution for WSN object localization using
           zero-touch mobile transceivers

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      Abstract: Abstract Artificial intelligence technology is widely used in the field of wireless sensor networks (WSN). Due to its inexplicability, the interference factors in the process of WSN object localization cannot be effectively eliminated. In this paper, an explainable-AI-based two-stage solution is proposed for WSN object localization. In this solution, mobile transceivers are used to enlarge the positioning range and eliminate the blind area for object localization. The motion parameters of transceivers are considered to be unavailable, and the localization problem is highly nonlinear with respect to the unknown parameters. To address this, an explainable AI model is proposed to solve the localization problem. Since the relationship among the variables is difficult to fully include in the first-stage traditional model, we develop a two-stage explainable AI solution for this localization problem. The two-stage solution is actually a comprehensive consideration of the relationship between variables. The solution can continue to use the constraints unused in the first-stage during the second-stage, thereby improving the performance of the solution. Therefore, the two-stage solution has stronger robustness compared to the closed-form solution. Experimental results show that the performance of both the two-stage solution and the traditional solution will be affected by numerical changes in unknown parameters. However, the two-stage solution performs better than the traditional solution, especially with a small number of mobile transceivers and sensors or in the presence of high noise. Furthermore, we have also verified the feasibility of the proposed explainable-AI-based two-stage solution.
      PubDate: 2024-06-28
       
  • HEN: a novel hybrid explainable neural network based framework for robust
           network intrusion detection

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      Abstract: Abstract With the rapid development of network technology and the automation process for 5G, cyber-attacks have become increasingly complex and threatening. In response to these threats, researchers have developed various network intrusion detection systems (NIDS) to monitor network traffic. However, the incessant emergence of new attack techniques and the lack of system interpretability pose challenges to improving the detection performance of NIDS. To address these issues, this paper proposes a hybrid explainable neural network-based framework that improves both the interpretability of our model and the performance in detecting new attacks through the innovative application of the explainable artificial intelligence (XAI) method. We effectively introduce the Shapley additive explanations (SHAP) method to explain a light gradient boosting machine (LightGBM) model. Additionally, we propose an autoencoder long-term short-term memory (AE-LSTM) network to reconstruct SHAP values previously generated. Furthermore, we define a threshold based on reconstruction errors observed during the training phase. Any network flow that surpasses the specified threshold is classified as an attack flow. This approach enhances the framework’s ability to accurately identify attacks. We achieve an accuracy of 92.65%, a recall of 95.26%, a precision of 92.57%, and an F1-score of 93.90% on the dataset NSL-KDD. Experimental results demonstrate that our approach generates detection performance on par with state-of-the-art methods.
      PubDate: 2024-06-28
       
  • Design of double protograph LDPC codes based JSCC systems via the ACE-PEG
           algorithm

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      Abstract: Conclusion In this work, a novel design method of DP-LDPC codes for the JSCC system via the ACE-PEG algorithm has been proposed. The designed base matrix contains more higher-degree VNs than the conventional ones, and thus increases the amount of message between the cycles and/or stopping sets and the remaining part of the Tanner graph via the ACE-PEG algorithm. Simulation results have demonstrated that the proposed design approach of DP-LDPC codes obtains significant performance enhancement in both waterfall and error-floor regions compared to the selected benchmark schemes from the latest literature.
      PubDate: 2024-06-27
       
  • Channel modeling for MI-based wireless underground sensor networks with
           conductive objects

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      Abstract: Conclusion We develop a comprehensive and accurate channel model forMI-WUSNs by taking into account the impact of multiple conductive objects located in different positions. The mathematical expressions for mutual inductance and received power are rigorously derived for each case. Extensive experimental results have verified our theory. Hence, this paper provides a solid foundation for subsequent system design for MI-WUSNs.
      PubDate: 2024-06-27
       
  • Multi-path navigation method using solar panel-reflected solar
           oscillations for Earth satellites

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      Abstract: Conclusion This study explores a new navigation method using multi-path solar panel-reflected solar oscillations. Considering the solar panels of BeiDou-3 M1–M24 and GPS satellites as examples, the simulations show that the mean position error of FY-1 using solar panel-reflected solar oscillations is only 20.61 m in 30 days. Compared with the existing autonomous navigation methods for the Earth satellites, the newly proposed method has two advantages. (1) It has the highest navigation accuracy. (2) It does not require any additional accurate geomagnetic map, gravity gradient map, or refraction model. While the proposed method requires at least two atomic frequency discriminators to obtain the measurements and its accuracy is affected by the geometric relationship between the Earth satellite, reflected satellite, and Sun, which are the inherent drawbacks of the method. It is notable that the influence of the relativistic effects on the measurement accuracy needs further research.
      PubDate: 2024-06-27
       
  • Scenarios analysis and performance assessment of blockchain integrated in
           6G scenarios

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      Abstract: Abstract Emerging applications such as smart city infrastructures and virtual reality landscapes are setting rigorous benchmarks for 6G mobile networks, requiring elevated levels of confidentiality, integrity, non-repudiation, authentication, and stringent access controls. Blockchain technology is heralded as a transformative enabler for meeting 6G standards, owing to its intrinsic attributes. However, a gap exists in the holistic investigation of blockchain’s applicability in 6G realms, particularly addressing the “whether”, “when”, and “how” of its deployment. Present research trails in developing robust methodologies to gauge blockchain’s efficacy within 6G use cases. Addressing this, our study introduces a novel confluence of blockchain with 6G networks, where data resides in distributed Hash tables (DHTs) while their hashes are secured in distributed ledger technology (DLT), harnessing blockchain’s core strengths-immutability, traceability, and fortified security. We delineate seven specific 6G use cases poised for enhancement through blockchain integration, and scrutinize the rationale, nature, and timing of this convergence. Furthermore, we devise a comprehensive methodology for assessing blockchain’s performance metrics and scalability in 6G environments. Our extensive experimental analyses evaluate the synergistic performance of this integration, revealing that the Quorum blockchain satisfactorily supports 80% of 6G scenarios. The findings suggest that, with appropriate configurations, consortium blockchains are well-equipped to fulfill the demanding performance and scalability requisites of 6G networks.
      PubDate: 2024-06-27
       
  • ControlService: a containerized solution for
           control-algorithm-as-a-service in cloud control systems

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      Abstract: As an extension of networked control systems, cloud control systems (CCSs) have emerged as a new control paradigm to improve the service quality of emerging control missions, such as data-driven modeling and automated vehicles. Existing studies have used the workflow-based restructured method to optimize the computation-intensive algorithms in the CCSs. However, the challenges here are how to define and submit these algorithms’ workflows as cloud services and execute these algorithms’ workflows in a containerized manner. Based on these challenges, we propose a containerized solution for the control-algorithm-as-a-service (C3aS) in the CCSs, namely ControlService. It offers the control algorithm as a cloud workflow service and uses a customized workflow engine to realize the containerized execution. First, we employ a cloud workflow representation method to define a control algorithm into an abstract cloud workflow form. Afterward, we provide a cloud service representation of the abstract cloud workflow. Next, we design a workflow engine and submit the cloud service to this workflow engine to implement containerized execution of this cloud service in the CCSs. In the experiment, we discuss the cloud service form and containerized implementation of the subspace identification method. Experimental results show that the proposed ControlService has significant performance advantages in computational time, reduction percentage, and speedup ratio compared with the baseline method.
      PubDate: 2024-06-27
       
  • XRL-SHAP-Cache: an explainable reinforcement learning approach for
           intelligent edge service caching in content delivery networks

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      Abstract: Abstract Content delivery networks (CDNs) play a pivotal role in the modern internet infrastructure by enabling efficient content delivery across diverse geographical regions. As an essential component of CDNs, the edge caching scheme directly influences the user experience by determining the caching and eviction of content on edge servers. With the emergence of 5G technology, traditional caching schemes have faced challenges in adapting to increasingly complex and dynamic network environments. Consequently, deep reinforcement learning (DRL) offers a promising solution for intelligent zero-touch network governance. However, the black-box nature of DRL models poses challenges in understanding and making trusting decisions. In this paper, we propose an explainable reinforcement learning (XRL)-based intelligent edge service caching approach, namely XRL-SHAP-Cache, which combines DRL with an explainable artificial intelligence (XAI) technique for cache management in CDNs. Instead of focusing solely on achieving performance gains, this study introduces a novel paradigm for providing interpretable caching strategies, thereby establishing a foundation for future transparent and trustworthy edge caching solutions. Specifically, a multi-level cache scheduling framework for CDNs was formulated theoretically, with the D3QN-based caching scheme serving as the targeted interpretable model. Subsequently, by integrating Deep-SHAP into our framework, the contribution of each state input feature to the agent’s Q-value output was calculated, thereby providing valuable insights into the decision-making process. The proposed XRL-SHAP-Cache approach was evaluated through extensive experiments to demonstrate the behavior of the scheduling agent in the face of different environmental inputs. The results demonstrate its strong explainability under various real-life scenarios while maintaining superior performance compared to traditional caching schemes in terms of cache hit ratio, quality of service (QoS), and space utilization.
      PubDate: 2024-06-27
       
  • Stability analysis and stabilization of semi-Markov jump linear systems
           with unavailable sojourn-time information

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      Abstract: Abstract This study addresses the stability and stabilization problems of discrete-time semi-Markov jump linear systems (S-MJLSs) with unavailable sojourn-time information. The sojourn-time probability mass functions (S-TPMFs) of discrete-time semi-Markov chains are no longer confined to the geometric distribution, and it is difficult to obtain accurate and comprehensive information for S-TPMFs in practice. This is because S-TPMFs are usually deduced from the statistical characteristics according to the sampled-data, while adequate samples are often costly and time consuming. In this study, when the S-TPMFs for semi-Markov chains are assumed to be unavailable, the σ-error mean square stability is investigated for discrete-time S-MJLSs with some widely used assumptions; for semi-Markov chains, only the transition probability matrix of the embedded chain is used. In addition, the existence conditions of the effective controller are provided for closed-loop systems without using the information of S-TPMFs. Numerical examples are presented to illustrate the validity of the obtained theoretical results.
      PubDate: 2024-06-27
       
  • Prescribed time control based on the periodic delayed sliding mode surface
           without singularities

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      Abstract: Abstract In this paper, nonsingular prescribed-time control is studied based on periodic delayed sliding mode surfaces. Different from the existing sliding mode control, where either singularity problems may appear or the convergence time depends on the initial state, the proposed sliding mode control approaches can achieve prescribed-time convergence without singularity. The proposed nonsingular sliding mode control approaches can be applied to both second-order and high-order nonlinear systems with prescribed-time convergence. As applications of the proposed sliding mode control approaches, the control of hypersonic vehicle systems is revisited. Numerical simulations on the nonlinear model of the hypersonic vehicle system show the effectiveness of the proposed methods.
      PubDate: 2024-06-27
       
  • Distributed generalized Nash equilibrium seeking: event-triggered
           coding-decoding-based secure communication

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      Abstract: Abstract In this paper, we consider the distributed generalized Nash equilibrium (GNE) seeking problem in strongly monotone games. The transmission among players is implemented through a digital communication network with limited bandwidth. For improving communication efficiency or/and security, an event-triggered coding-decoding-based communication is first proposed, where the data (decision variable) are first mapped to a series of finite-level codewords and, only when an event condition is satisfied, then sent to the neighboring agents. Moreover, a distributed communication-efficient GNE seeking algorithm is constructed accordingly, and the overrelaxation scheme is further taken into consideration. Through primal-dual analysis, the proposed algorithm is proven to converge to a variational GNE with fixed step-sizes by recasting it as an inexact forward-backward iteration. Finally, numerical simulations illustrate the benefit of the proposed algorithms in terms of saving communication resources.
      PubDate: 2024-06-27
       
  • Adaptive 5G-and-beyond network-enabled interpretable federated learning
           enhanced by neuroevolution

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      Abstract: Abstract Mobile telemedicine systems based on the next-generation communication will significantly enhance deep fusion of network automation and federated learning (FL), but data privacy is a paramount issue in sectors like healthcare. This work hence considers FL augments 5G-and-beyond networks by training deep learning (DL) models without the need to exchange raw data. The substantial communication loads imposed on by extensive parameters involved in DL models are managed through adaptive scheduling mechanisms effectively. To address the opaque nature of DL models and to improve the interpretability of FL models, we introduce a convolutional fuzzy rough neural network specifically designed for medical image processing. We also develop a multiobjective memetic evolutionary algorithm to streamline and optimize the neural network architectures. Our comprehensive FL framework integrates smart scheduling, interpretable fuzzy rough logic, and neuroevolution. This framework is shown to improve communication efficiency, increase interpretability of diagnosis with protected privacy, and generate low-complexity neural architectures.
      PubDate: 2024-06-27
       
  • Path signature-based XAI-enabled network time series classification

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      Abstract: Abstract Classifying network time series (NTS) is crucial for automating network administration and ensuring cyberspace security. It enables the detection of anomalies, the identification of network attacks, and the monitoring of performance issues, thereby providing valuable support for network protection and optimization. However, modern communication networks pose challenges for NTS classification methods. These include handling large-scale and complex NTS data, extracting features from intricate datasets, and addressing explainability requirements. These challenges are particularly pronounced for complex 5G networks. Notably, explainability has become crucial for the widespread deployment of network automation for 5G networks and beyond. To tackle these challenges, we propose a path-signature-based NTS classification model called recurrent signature (RecurSig). This innovative model is designed to overcome the time-consuming feature selection problem by utilizing deep-learning (DL) techniques. Additionally, it provides a solution for addressing the black-box issue associated with DL models in network automation systems (NAS) by incorporating an explainable classification approach. Extensive experimentation on various public datasets demonstrates that RecurSig outperforms existing models in accuracy and explainability. The results indicate its potential for application in cyberspace security and automated network management, offering an explainable solution for network protection and optimization.
      PubDate: 2024-06-27
       
  • A dual-band wireless communication of spoof plasmonic meta-waveguide

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      PubDate: 2024-06-25
       
  • An ensemble and cost-sensitive learning-based root cause diagnosis scheme
           for wireless networks with spatially imbalanced user data distribution

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      Abstract: Conclusion A novel feature extraction method that can tolerate imbalanced user data is proposed. A cost-sensitive SVM assigns different misclassification costs to faults with different severity levels to optimize the cause diagnosis process. The simulation results demonstrate the effectiveness and superiority of the proposed algorithm.
      PubDate: 2024-06-25
       
  • Towards imbalanced motion: part-decoupling network for video portrait
           segmentation

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      Abstract: Abstract Video portrait segmentation (VPS), aiming at segmenting prominent foreground portraits from video frames, has received much attention in recent years. However, the simplicity of existing VPS datasets leads to a limitation on extensive research of the task. In this work, we propose a new intricate large-scale multi-scene video portrait segmentation dataset MVPS consisting of 101 video clips in 7 scenario categories, in which 10843 sampled frames are finely annotated at the pixel level. The dataset has diverse scenes and complicated background environments, which is the most complex dataset in VPS to our best knowledge. Through the observation of a large number of videos with portraits during dataset construction, we find that due to the joint structure of the human body, the motion of portraits is part-associated, which leads to the different parts being relatively independent in motion. That is, the motion of different parts of the portraits is imbalanced. Towards this imbalance, an intuitive and reasonable idea is that different motion states in portraits can be better exploited by decoupling the portraits into parts. To achieve this, we propose a part-decoupling network (PDNet) for VPS. Specifically, an inter-frame part-discriminated attention (IPDA) module is proposed which unsupervisedly segments portrait into parts and utilizes different attentiveness on discriminative features specified to each different part. In this way, appropriate attention can be imposed on portrait parts with imbalanced motion to extract part-discriminated correlations, so that the portraits can be segmented more accurately. Experimental results demonstrate that our method achieves leading performance with the comparison to state-of-the-art methods.
      PubDate: 2024-06-25
       
  • Adaptive neural network control of a 2-DOF helicopter system considering
           input constraints and global prescribed performance

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      Abstract: Abstract In this study, an adaptive neural network (NN) control is proposed for nonlinear two-degree-of-freedom (2-DOF) helicopter systems considering the input constraints and global prescribed performance. First, radial basis function NN (RBFNN) is employed to estimate the unknown dynamics of the helicopter system. Second, a smooth nonaffine function is exploited to approximate and address nonlinear constraint functions. Subsequently, a new prescribed function is proposed, and an original constrained error is transformed into an equivalent unconstrained error using the error transformation and barrier function transformation methods. The analysis of the established Lyapunov function proves that the controlled system is globally uniformly bounded. Finally, the simulation and experimental results on a constructed Quanser’s test platform verify the rationality and feasibility of the proposed control.
      PubDate: 2024-06-25
       
  • Ensemble successor representations for task generalization in
           offline-to-online reinforcement learning

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      Abstract: Abstract In reinforcement learning (RL), training a policy from scratch with online experiences can be inefficient because of the difficulties in exploration. Recently, offline RL provides a promising solution by giving an initialized offline policy, which can be refined through online interactions. However, existing approaches primarily perform offline and online learning in the same task, without considering the task generalization problem in offline-to-online adaptation. In real-world applications, it is common that we only have an offline dataset from a specific task while aiming for fast online-adaptation for several tasks. To address this problem, our work builds upon the investigation of successor representations for task generalization in online RL and extends the framework to incorporate offline-to-online learning. We demonstrate that the conventional paradigm using successor features cannot effectively utilize offline data and improve the performance for the new task by online fine-tuning. To mitigate this, we introduce a novel methodology that leverages offline data to acquire an ensemble of successor representations and subsequently constructs ensemble Q functions. This approach enables robust representation learning from datasets with different coverage and facilitates fast adaption of Q functions towards new tasks during the online fine-tuning phase. Extensive empirical evaluations provide compelling evidence showcasing the superior performance of our method in generalizing to diverse or even unseen tasks.
      PubDate: 2024-06-25
       
 
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  Subjects -> COMMUNICATIONS (Total: 518 journals)
    - COMMUNICATIONS (446 journals)
    - DIGITAL AND WIRELESS COMMUNICATION (31 journals)
    - HUMAN COMMUNICATION (19 journals)
    - MEETINGS AND CONGRESSES (7 journals)
    - RADIO, TELEVISION AND CABLE (15 journals)

COMMUNICATIONS (446 journals)            First | 1 2 3 | Last

Showing 201 - 400 of 480 Journals sorted alphabetically
Magnetic Resonance Materials in Physics, Biology and Medicine     Hybrid Journal   (Followers: 3)
McMaster Journal of Communication     Open Access   (Followers: 1)
Media & Jornalismo     Open Access  
Media & Viestintä     Open Access   (Followers: 1)
Media and Communication     Open Access   (Followers: 15)
Media International Australia     Hybrid Journal   (Followers: 4)
Mediaciones     Open Access  
Mediaciones Sociales     Open Access  
MediaTropes     Open Access   (Followers: 3)
Medical Writing     Hybrid Journal   (Followers: 4)
MedieKultur. Journal of media and communication research     Open Access   (Followers: 12)
Metaphor and the Social World     Hybrid Journal   (Followers: 2)
Middle East Journal of Culture and Communication     Hybrid Journal   (Followers: 5)
Middle East Media Educator     Open Access   (Followers: 2)
Myth & Symbol     Hybrid Journal   (Followers: 8)
Narrative Culture     Full-text available via subscription   (Followers: 3)
NAUS : Revista Lusófona de Estudos Culturais e Comunicacionais     Open Access   (Followers: 1)
Netcom     Open Access  
Neuroimaging Clinics of North America     Full-text available via subscription   (Followers: 4)
New Media and Mass Communication     Open Access   (Followers: 32)
New Review of Film and Television Studies     Hybrid Journal   (Followers: 27)
Nonprofit Communications Report     Hybrid Journal   (Followers: 3)
Nordic Journal of Media Management     Open Access   (Followers: 3)
Nordic Journal of Media Studies     Open Access   (Followers: 2)
Norsk medietidsskrift     Open Access  
Nueva Revista del Pacífico     Open Access  
Observatorio (OBS*)     Open Access  
Oficios Terrestres     Open Access  
Open Medical Informatics Journal     Open Access  
Pacific Asia Journal of the Association for Information Systems     Open Access   (Followers: 3)
Palabra Clave     Open Access   (Followers: 1)
Pediatric Radiology     Hybrid Journal   (Followers: 7)
Pixel-Bit. Revista de Medios y Educacion     Open Access  
Porn Studies     Hybrid Journal   (Followers: 6)
post(s)     Open Access  
Pragmatics and Society     Hybrid Journal   (Followers: 12)
PragMATIZES : Latin American Journal of Cultural Studies     Open Access   (Followers: 1)
PRISMA.COM     Open Access  
Proceedings of the American Society for Information Science and Technology     Hybrid Journal   (Followers: 26)
Public Journal of Semiotics     Open Access   (Followers: 1)
Public Relations Review     Hybrid Journal   (Followers: 15)
Punto Cero     Open Access  
Quaderni     Open Access  
Qualitative Research Reports in Communication     Hybrid Journal   (Followers: 11)
Qualitative Studies     Open Access   (Followers: 12)
Quality and User Experience     Hybrid Journal   (Followers: 6)
Quarterly Journal of Speech     Hybrid Journal   (Followers: 15)
Quarterly Review of Film and Video     Hybrid Journal   (Followers: 21)
Question     Open Access  
Questions de communication     Open Access  
Radioelectronics and Communications Systems     Hybrid Journal   (Followers: 1)
REDD : Revista de estudios del discurso digital     Open Access  
Research Journal of Information Technology     Open Access   (Followers: 2)
Review of Cognitive Linguistics     Hybrid Journal   (Followers: 6)
Revista Contracampo     Open Access  
Revista ECO-Pós     Open Access  
Revista Eletrônica de Comunicação, Informação & Inovação em Saúde     Open Access  
Revista Mediação     Open Access  
Revue de recherches en littératie médiatique multimodale     Open Access  
Revue française des sciences de l’information et de la communication     Open Access   (Followers: 2)
RIHC : Revista Internacional de Historia de la Comunicación     Open Access  
Russian Journal of Communication     Hybrid Journal  
Schermi. Storie e culture del cinema e dei media in Italia     Open Access  
Science China Information Sciences     Hybrid Journal   (Followers: 3)
Scientific Bulletin     Open Access   (Followers: 1)
Screen     Hybrid Journal   (Followers: 20)
Seminars in Interventional Radiology     Hybrid Journal   (Followers: 8)
Semiotika     Open Access  
Sensorium Journal     Open Access  
Seton Hall Journal of Sports and Entertainment Law     Open Access   (Followers: 3)
Sexualization, Media, & Society     Open Access   (Followers: 3)
SIGDOC Communication Design Quarterly     Full-text available via subscription   (Followers: 3)
Sign Language & Linguistics     Hybrid Journal   (Followers: 3)
Sign Language Studies     Full-text available via subscription   (Followers: 5)
Social Communication     Open Access   (Followers: 2)
Social Interaction : Video-Based Studies of Human Sociality     Open Access   (Followers: 2)
Social Networking     Open Access   (Followers: 3)
Solid State Nuclear Magnetic Resonance     Hybrid Journal   (Followers: 3)
Sound Studies : An Interdisciplinary Journal     Hybrid Journal   (Followers: 3)
South African Journal of Communication Disorders     Open Access   (Followers: 1)
Speech, Language and Hearing     Hybrid Journal   (Followers: 16)
Studies in Asian Social Science     Open Access  
Technical Communication     Full-text available via subscription   (Followers: 7)
Telecommunication Systems     Hybrid Journal   (Followers: 4)
Terminology     Hybrid Journal   (Followers: 4)
The Communication Review     Hybrid Journal   (Followers: 5)
The Post     Open Access  
Tic & société     Open Access  
Tidsskrift for Medier, Erkendelse og Formidling     Open Access  
Tijdschrift voor Communicatiewetenschappen     Full-text available via subscription   (Followers: 4)
Transactions on Emerging Telecommunications Technologies     Hybrid Journal   (Followers: 4)
tripleC : Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society     Open Access   (Followers: 9)
Trípodos     Open Access  
Turkish Review of Communication Studies     Open Access  
Ukrainian Information Space     Open Access  
University of Sindh Journal of Information and Communication Technology     Open Access  
Virtualidad, Educación y Ciencia     Open Access  
Vivat Academia     Open Access  
Wacana : Jurnal Sosial dan Humaniora     Open Access  
Women's Studies in Communication     Hybrid Journal   (Followers: 5)
ZER : Revista de Estudios de Comunicación = Komunikazio Ikasketen Aldizkaria     Open Access  

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