Subjects -> MATHEMATICS (Total: 1013 journals)
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    - PROBABILITIES AND MATH STATISTICS (113 journals)

PROBABILITIES AND MATH STATISTICS (113 journals)                     

Showing 1 - 98 of 98 Journals sorted alphabetically
Advances in Statistics     Open Access   (Followers: 9)
Afrika Statistika     Open Access   (Followers: 1)
American Journal of Applied Mathematics and Statistics     Open Access   (Followers: 11)
American Journal of Mathematics and Statistics     Open Access   (Followers: 9)
Annals of Data Science     Hybrid Journal   (Followers: 14)
Annual Review of Statistics and Its Application     Full-text available via subscription   (Followers: 7)
Applied Medical Informatics     Open Access   (Followers: 11)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 8)
Asian Journal of Probability and Statistics     Open Access  
Austrian Journal of Statistics     Open Access   (Followers: 4)
Biostatistics & Epidemiology     Hybrid Journal   (Followers: 4)
Cadernos do IME : Série Estatística     Open Access  
Calcutta Statistical Association Bulletin     Hybrid Journal  
Communications in Mathematics and Statistics     Hybrid Journal   (Followers: 4)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics: Case Studies, Data Analysis and Applications     Hybrid Journal  
Comunicaciones en Estadística     Open Access  
Econometrics and Statistics     Hybrid Journal   (Followers: 1)
Forecasting     Open Access   (Followers: 1)
Foundations and Trends® in Optimization     Full-text available via subscription   (Followers: 3)
Frontiers in Applied Mathematics and Statistics     Open Access   (Followers: 1)
Game Theory     Open Access   (Followers: 2)
Geoinformatics & Geostatistics     Hybrid Journal   (Followers: 14)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 13)
Indonesian Journal of Applied Statistics     Open Access  
International Game Theory Review     Hybrid Journal   (Followers: 1)
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences     Open Access  
International Journal of Advanced Statistics and Probability     Open Access   (Followers: 7)
International Journal of Algebra and Statistics     Open Access   (Followers: 3)
International Journal of Applied Mathematics and Statistics     Full-text available via subscription   (Followers: 3)
International Journal of Ecological Economics and Statistics     Full-text available via subscription   (Followers: 5)
International Journal of Energy and Statistics     Hybrid Journal   (Followers: 3)
International Journal of Game Theory     Hybrid Journal   (Followers: 3)
International Journal of Mathematics and Statistics     Full-text available via subscription   (Followers: 2)
International Journal of Multivariate Data Analysis     Hybrid Journal  
International Journal of Probability and Statistics     Open Access   (Followers: 4)
International Journal of Statistics & Economics     Full-text available via subscription   (Followers: 6)
International Journal of Statistics and Applications     Open Access   (Followers: 2)
International Journal of Statistics and Probability     Open Access   (Followers: 3)
International Journal of Statistics in Medical Research     Hybrid Journal   (Followers: 5)
International Journal of Testing     Hybrid Journal   (Followers: 1)
Iraqi Journal of Statistical Sciences     Open Access  
Japanese Journal of Statistics and Data Science     Hybrid Journal  
Journal of Biometrics & Biostatistics     Open Access   (Followers: 4)
Journal of Cost Analysis and Parametrics     Hybrid Journal   (Followers: 5)
Journal of Environmental Statistics     Open Access   (Followers: 4)
Journal of Game Theory     Open Access   (Followers: 1)
Journal of Mathematical Economics and Finance     Full-text available via subscription  
Journal of Mathematics and Statistics Studies     Open Access  
Journal of Modern Applied Statistical Methods     Open Access   (Followers: 1)
Journal of Official Statistics     Open Access   (Followers: 2)
Journal of Quantitative Economics     Hybrid Journal  
Journal of Social and Economic Statistics     Open Access  
Journal of Statistical Theory and Practice     Hybrid Journal   (Followers: 2)
Journal of Statistics and Data Science Education     Open Access   (Followers: 2)
Journal of Survey Statistics and Methodology     Hybrid Journal   (Followers: 4)
Journal of the Indian Society for Probability and Statistics     Full-text available via subscription  
Jurnal Biometrika dan Kependudukan     Open Access  
Jurnal Ekonomi Kuantitatif Terapan     Open Access  
Jurnal Sains Matematika dan Statistika     Open Access  
Lietuvos Statistikos Darbai     Open Access  
Mathematics and Statistics     Open Access   (Followers: 2)
Methods, Data, Analyses     Open Access   (Followers: 1)
METRON     Hybrid Journal   (Followers: 1)
Nepalese Journal of Statistics     Open Access  
North American Actuarial Journal     Hybrid Journal   (Followers: 1)
Open Journal of Statistics     Open Access   (Followers: 3)
Open Mathematics, Statistics and Probability Journal     Open Access  
Pakistan Journal of Statistics and Operation Research     Open Access   (Followers: 1)
Physica A: Statistical Mechanics and its Applications     Hybrid Journal   (Followers: 6)
Probability, Uncertainty and Quantitative Risk     Open Access   (Followers: 2)
Ratio Mathematica     Open Access  
Research & Reviews : Journal of Statistics     Open Access   (Followers: 3)
Revista Brasileira de Biometria     Open Access  
Revista Colombiana de Estadística     Open Access  
RMS : Research in Mathematics & Statistics     Open Access  
Romanian Statistical Review     Open Access  
Sankhya B - Applied and Interdisciplinary Statistics     Hybrid Journal  
SIAM Journal on Mathematics of Data Science     Hybrid Journal   (Followers: 1)
SIAM/ASA Journal on Uncertainty Quantification     Hybrid Journal   (Followers: 2)
Spatial Statistics     Hybrid Journal   (Followers: 2)
Sri Lankan Journal of Applied Statistics     Open Access  
Stat     Hybrid Journal   (Followers: 1)
Stata Journal     Full-text available via subscription   (Followers: 8)
Statistica     Open Access   (Followers: 6)
Statistical Analysis and Data Mining     Hybrid Journal   (Followers: 23)
Statistical Theory and Related Fields     Hybrid Journal  
Statistics and Public Policy     Open Access   (Followers: 4)
Statistics in Transition New Series : An International Journal of the Polish Statistical Association     Open Access  
Statistics Research Letters     Open Access   (Followers: 1)
Statistics, Optimization & Information Computing     Open Access   (Followers: 3)
Stats     Open Access  
Synthesis Lectures on Mathematics and Statistics     Full-text available via subscription   (Followers: 1)
Theory of Probability and its Applications     Hybrid Journal   (Followers: 2)
Theory of Probability and Mathematical Statistics     Full-text available via subscription   (Followers: 2)
Turkish Journal of Forecasting     Open Access   (Followers: 1)
VARIANSI : Journal of Statistics and Its application on Teaching and Research     Open Access  
Zeitschrift für die gesamte Versicherungswissenschaft     Hybrid Journal  

           

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International Journal of Advanced Statistics and IT&C for Economics and Life Sciences
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2067-354X
Published by Sciendo Homepage  [370 journals]
  • Design Methodology and Tools in Factory of the Future

    • Abstract: This paper presents a design method and tool developed to support the skill forming activities in the DigiFoF network (https://www.digifof.eu/). The focus is on training of manufacturing system design skills both as HEI education and vocational training, but preliminary design of new manufacturing systems is also supported (e.g in the development of small business process scenarios).We proposed a model-based methodology for solving of the manufacturing system design problems The methodology and the supporting tool are centred around a less abstract Domain-Specific Modelling Language (DSML). The language is easy to learn due to its few components.A modelling and simulation environment named Digital Production Planner Tool (DPPT) was generated from the metamodel of the DSML. The degree of abstraction used by this tool corresponds well to the intended use in training and preliminary design.Our method incorporates by design the possibility to impose constraints at the modelling language level to limit the modelling space to feasible/possible solutions. The resulting tool enforces these constraints in the use and supports the development of feasible designs even by inexperienced designers.The access to the conceptual model allows the translation of the model to other modelling language like Petri net. This extends the support for the design methodology.The whitepaper presents a use case for the developed method and tool: the design of a chocolate manufacturing line.
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
       
  • Key Success Factors for Smart City Construction

    • Abstract: The Smart City is not a new concept. In fact, the digital city appeared in the information era and the wireless city emerged in the Internet era, but the Smart City had not been clearly defined until the digital era. Unlike traditional informatization, a Smart City is not simply the combination of informatization in all industries. Not only is a smart city a top-leadership project, it reshapes the digital capabilities of all industries in a city, while also addressing systematic challenges.This paper presents Huawei perspective on Smart City development, including the conceptual framework, governance, type, connectivity, structural enablers. The paper also describes the strategic vision and a Smart City construction path, from the strategic planning, solution design and implementation.
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
       
  • Filtering Random Valued Impulse Noise from Grayscale Images through
           Support Vector Machine and Markov Chain

    • Abstract: This paper presents a context-based filter to denoise grayscale images affected by random valued impulse noise. A support vector machine classifier is used for noise detection and two Markov filter variants are evaluated for their denoising capacity. The classifier needs to be trained on a set of training images. The experiments performed on another set of test images have shown that the support vector machine with the radial basis function kernel combined with the Markov+ filter is the best configuration, providing the highest noise detection accuracy. Our filter was compared with existing denoising methods, it being better on some images and comparable with them on others.
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
       
  • Industry X: Products for the Future

    • Abstract: The authors of this paper are introducing a new concept for definition of the future of Industry 4.0 and are presenting details and characteristics of the concept Industry X regarding the current global digitalization of Automotive Industry. Starting from the Mechanical Age (Industry 1.0) and until the Digital Age (Industry 4.0) which is already ongoing, the authors are identifying and defining the shape of the nearby future through the so called “Quantum Age” or the next step in the Industrial Revolution: Industry X.
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
       
  • Using drone technology for preserving the economic sustainability of the
           agricultural holdings

    • Abstract: In the present era, precision agriculture, through the set of innovative technologies that it uses, allows to effectively manage the terrain, machinery, and input acquisition, considering the specific natural variation of the environmental conditions. One of such innovations is the unmanned aerial vehicle (drone) technology which has gained popularity and has been widely used in adopting efficient strategies for preserving the economic sustainability of the agricultural holdings. The need for an efficient management, the complex climatic, technological, economic, and biological changes that have recently occurred at the level of agro-systems impose a continuous and accurate knowledge of the growing production resources and the vegetation state in cultures. In this context, the article investigates a series of particularities regarding the use of geospatial and informational technology in the process of taking, storing, analysing, and interpreting them to optimize inputs, considering the state of the crops and the degree of soil supply in each relatively homogeneous area of the terrain..
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
       
  • Development of a smart clothing product using an Arduino platform

    • Abstract: This paper presents a "smart" clothing product implemented as a jacket that contains sensors, a processing unit for display and interaction. The system has the ability to remotely read the data provided by the sensors, ensuring the monitoring of several parameters of the wearer.The following characteristics have been considered: body temperature and humidity, atmospheric temperature, pressure and altitude, the heart beat and number of steps converted into the number of calories consumed and traveled distance.The data is acquired and processed by an Arduino AT Mega 2560, via the I2C bus, digital ports and analog to digital converters, depending on the type of sensors. The processed information is printed on a 128x64 pixel display. To be able to view more pages of information, one can interact with the 4-key keyboard that has been connected to the digital input ports or through a proximity sensor, which will function as a gesture sensor.The processed information can also be accessed from a web server, built on the ESP8266 Wi-Fi module, connected to Arduino's TX/RX lines. A mobile phone or another device can connect to the Access Point and open a web page which displays the values of all sensors, as well as other information. The embedded system was inserted on a jacket and wired according to the sensors and modules usage.
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
       
  • Online assessment solution without in-person proctoring

    • Abstract: Online assessment became an important part of the assessment of students after March 2020 in the COVID-Time. Traditional face-to-face evaluations were no more possible, therefore the use of solutions like Google Suite Educational became mandatory. In this paper we explore the strengths and weaknesses of some applications for student evaluation. Also, we will present a Web-based evaluation software that we have developed and which allows to schedule questions at random with a given time for students to answer the question and without the possibility to come back to a previous question.
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
       
  • FitPi: Wearable IoT solution for a daily smart life

    • Abstract: The extensive implementation of Internet of Things (IoT) solutions and its wide popularity to the public over the past decade enabled emergent applications that provide sophisticated, proactive health care solutions that can improve the quality of life of individuals. This work proposes an IoT architecture and implements a prototype solution that allows its users to improve their physical activity by collecting vital signs using wearables and other environmental and habitual information in order to monitor their activity and propose behaviors in a smart way that will allow them to achieve their preset goals. The focus is on the increased usability of the system employing refined solutions like voice recognition and smart visualization to enable its seamless use while offering an interoperable architecture that will enhance its flexibility. The prototype implementation offers a proof of concept evaluation of the proposed system, applying state of the art technologies and using existing hardware and popular gadgets..
      PubDate: Thu, 24 Dec 2020 00:00:00 GMT
       
  • Imperialist competitive algorithm for determining the parameters of a
           Sugeno fuzzy controller

    • Abstract: We used an imperialist competitive algorithm to determine the parameters of a fuzzy controller of type Sugeno that would ensure a good unit step response of a second-order single-input and single-output automatic system.
      PubDate: Thu, 24 Dec 2020 00:00:00 GMT
       
  • Studying big data using virtual escape rooms

    • Abstract: The Corona period created great challenges in the teaching and learning process. This presentation describes a research based on studying the subject of big data using virtual escape rooms. Due to the period it was decided that the final task in the Big Data course would be to build a virtual escape room that deals with a topic from the world of Big Data. The aim of the study was to examine how the understanding of various topics related to Big Data is sharpened when they are taught through virtual escape rooms. Each group of students chose a topic from the world of big data and built a virtual escape room around it. Peer learning was then performed, and each group edited rooms of other groups, so that each group learned about a variety of topics related to the big data world. By monitoring peer learning it was possible to assess the nature of the learning process experienced by the group. This unique learning allows for flexibility in terms of time and place in holding meetings. The interactions between the various group members contribute to enrichment the knowledge and the development of creative ideas.According to the results of the study, this type of learning sharpened different skills among the participants - social, communicative and thinking. It also developed a deep understanding when the escape room practically demonstrates the topic of big data in an optimal way through a variety of representations. During the activity in the escape room there is created an interesting and original connection between the materials and the ideas, open to a variety of interpretations. Digital tools are used effectively and creatively that contribute to understanding the message (Kemp, 2018).
      PubDate: Thu, 24 Dec 2020 00:00:00 GMT
       
  • Modeling Electricity Consumption and Production in Smart Homes using LSTM
           Networks

    • Abstract: This paper presents a forecasting method of the electricity consumption and production in a household equipped with photovoltaic panels and a smart energy management system. The prediction is performed with a Long Short-Term Memory recurrent neural network. The datasets collected during five months in a household are used for the evaluations. The recurrent neural network is configured optimally to reduce the forecasting errors. The results show that the proposed method outperforms an earlier developed Multi-Layer Perceptron, as well as the Autoregressive Integrated Moving Average statistical forecasting algorithm.
      PubDate: Thu, 24 Dec 2020 00:00:00 GMT
       
  • Reading in Research and Information Centres. Case Study of LBUS

    • Abstract: The paper focuses of to open the minds of pupils and turn them to reading, teacher librarians must prepare pupils, bring them face to face with reading, situations, themes from each reading instance, so that they can analyze, describe, freely express themselves, using the right words to convey their thoughts, feelings, emotions, and compare the information they came across while reading with their own experiences, the situations they’ve lived through, thus anchoring them in daily reality.
      PubDate: Thu, 24 Dec 2020 00:00:00 GMT
       
  • On Hagelbarger’s and Shannon’s matching pennies playing
           machines

    • Abstract: In the 1950s, Hagelbarger’s Sequence Extrapolating Robot (SEER) and Shannon’s Mind-Reading Machine (MRM) were the state-of-the-art research results in playing the well-known “matching pennies” game. In our research we perform a software implementation for both machines in order to test the common statement that MRM, even simpler, beats SEER. Also, we propose a simple contextual predictor (SCP) and use it to compete with SEER and MRM. As expected, experimental results proves the claimed MRM superiority over SEER and even the SCP’s superiority over both SEER and MRM. At the end, we draw some conclusions and propose further research ideas, like the use of mixing models methods and the use of Hidden Markov Model for modelling player’s behaviour.
      PubDate: Thu, 24 Dec 2020 00:00:00 GMT
       
  • Searching, Learning, Gaming - Engaging students with Europeana’s
           digital archives

    • Abstract: Mass digitisation of the collections held by cultural institutions -galleries, libraries, museums, archives, have made available a huge amount of historical, cultural, informational resources in digital format, which are more and more used in educational activities. This paper describes some innovative non- formal educational activities developed around the Europeana1914-1918 archive between 2014-2018, where searching in big digital archives, gaming and improving the digital skills were key aspects.
      PubDate: Thu, 24 Dec 2020 00:00:00 GMT
       
  • Part of Speech Tagging Using Hidden Markov Models

    • Abstract: In this paper, we present a wide range of models based on less adaptive and adaptive approaches for a PoS tagging system. These parameters for the adaptive approach are based on the n-gram of the Hidden Markov Model, evaluated for bigram and trigram, and based on three different types of decoding method, in this case forward, backward, and bidirectional. We used the Brown Corpus for the training and the testing phase. The bidirectional trigram model almost reaches state of the art accuracy but is disadvantaged by the decoding speed time while the backward trigram reaches almost the same results with a way better decoding speed time. By these results, we can conclude that the decoding procedure it’s way better when it evaluates the sentence from the last word to the first word and although the backward trigram model is very good, we still recommend the bidirectional trigram model when we want good precision on real data.
      PubDate: Thu, 24 Dec 2020 00:00:00 GMT
       
  • Study of the influence of the exhaust line ultrasounds over the
           performance of the Blind Spot Warning System

    • Abstract: During the previous years, the vehicle manufacturers have tried to equip their vehicles with as much technology as possible, making the driving experience for people easier than ever. Most of the modern vehicles come today with ADAS (Advanced Driver Assistance Systems) either for driving (E.g. Cruise Control, Blind Spot Warning) or Parking (E.g. Rear Ultrasonic Sensors, Rear View Camera). Since the vehicle come equipped with more technology, a major task in developing vehicle remains the integration of these ADAS system in the vehicle context with the other components. Since most of the components cope with each other on the vehicle level, some technologies are more affected by other components – such as the case of an ultrasound vehicle scanning system (Blind Spot Warning) and the Exhaust line that emits ultrasounds from the exhaust muffler. The aim of this paper is to study the influence of the exhaust line ultrasounds (ultrasounds that are emitted by the engine cycle and filtered in the exhaust line of the vehicle) over the detection performance of the Blind Spot Warning Ultrasound system. Since vehicles are sold with a wide variety of powertrains, the solution presented took into account also these differences between powertrains equipped. In order to test the solution, mock-ups of the vehicle were made in order to proof the robustness of the method.
      PubDate: Thu, 24 Dec 2020 00:00:00 GMT
       
  • Digital Risks. Case Study on Digitization Projects of the LBUS Library

    • Abstract: Digital technologies changed all the social life domains in society, as we are now living in the digital era, in the information society or in an interconnected world. Besides the improvements in every day life, digital changes also brought inherent risks, from cyber-security, hacking, cyber-bullying, to the vulnerability of personal data, or the mental health consequences of information explosion.This article reviews the risks of the changes brought by the digital transformation on libraries in general, with examples of the LBUS Library, drawing from the last 10 years of development experience of informatic book management systems (electronic catalogue) and of the digital library system. A group of library experts took part in local cultural projects promoting the city of Sibiu, as well as in four major European projects focusing on “Europeana”, and developing highly valuable cultural, historical, and scientific digital collections. As relatively new and highly complex technical activities comprising a high volume of new information, the management of these projects also posed risks related to decision-making and to choosing the best solutions to ensure their success. We have identified and highlighted the major risks.
      PubDate: Fri, 20 Mar 2020 00:00:00 GMT
       
  • Study on the Mapping of Research Data in the Republic of Moldova in the
           Context of Open Science

    • Abstract: The Open Science concept represents a new approach to the way in which scientific research based on cooperation and new ways of knowledge dissemination is carried out and organized, using new digital technologies, new tools for collaboration, and R&D infrastructure to ensure open access to research data.This study uses data collected in May - July 2018 within a survey that aimed at investigating the scientific data ecosystem in the Republic of Moldova. Findings show that, although there are some concerns about the loss of property rights and copyright infringement in case of sharing and open access to research data, Moldovan academia is ready to provide access to research data. The research has highlighted that a new challenge is needed to solve scientific data issues by creating new type of infrastructure to ensure data retention, broad access to research results for the purpose of their dissemination and use, and creating new research opportunities based on research data.
      PubDate: Fri, 20 Mar 2020 00:00:00 GMT
       
  • Library and Information Science Vis-À-Vis Web Science in the Light of the
           OECD Fields of Science and Technology Classification

    • Abstract: Aims: The paper focuses on the methodological frames of Library and Information Sciences vis-à-vis Web Science in the light of the OECD Fields of Science and Technology Classification. The roots of Library Science and Information Science in Humanities and Social Sciences are described. The technological revolution which took place during and after World War II enabled the development of a new mathematics- and engineering-oriented environment for information. On this basis such new research areas like Web Science emerged. It led to a change towards an interdisciplinary character of Information Science. Method: The OECD Fields of Science and Technology Classification was analysed from the point of view of the Library and Information Science’s place in this classification.Solutions: In the OECD Fields of Science and Technology Classification Library Science has its independent place within Social Sciences while Information Science is dispersed between three main sections. It confirms the interdisciplinary character of Information Science and sets up its name as a superior covering traditional Information Science and all of new mathematics- and engineering- based research areas dealing with information. Although the name Web Science is not mentioned in this classification, we can assume that it is a sub-discipline of Information Science in the light of the OECD classification. Polish implications are mentioned.
      PubDate: Fri, 20 Mar 2020 00:00:00 GMT
       
  • Suggest Recommendation for Library Users Using Graphs

    • Abstract: The aim of this paper is to prove the usefulness of graphs in solving an ever-present problem for library users: finding books they like and they are looking for. Graphs are known as an important tool in solving conditioned optimization problems. We propose a graph-based system of recommendation which can be easy used in a library for assisting and helping users in finding in real time the books they like. The main advantage of the proposed graph-based approach lies in the ease with which new data or even new entities from different sources are added to the graph without disturbing the entire system. The system uses the similarity scores in order to find the similarity between objects and to get the best recommendation for a user’s request. In the end, we will compare the results from used formulas..
      PubDate: Fri, 20 Mar 2020 00:00:00 GMT
       
 
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