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Publisher: Inderscience Publishers   (Total: 435 journals)

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Showing 1 - 200 of 435 Journals sorted alphabetically
African J. of Accounting, Auditing and Finance     Hybrid Journal   (Followers: 12)
African J. of Economic and Sustainable Development     Hybrid Journal   (Followers: 14)
Afro-Asian J. of Finance and Accounting     Hybrid Journal   (Followers: 7, SJR: 0.195, CiteScore: 0)
American J. of Finance and Accounting     Hybrid Journal   (Followers: 21)
Asian J. of Management Science and Applications     Hybrid Journal   (Followers: 4)
Atoms for Peace: an Intl. J.     Hybrid Journal   (Followers: 3)
Electronic Government, an Intl. J.     Hybrid Journal   (Followers: 17, SJR: 0.424, CiteScore: 1)
EuroMed J. of Management     Hybrid Journal  
European J. of Cross-Cultural Competence and Management     Hybrid Journal   (Followers: 7)
European J. of Industrial Engineering     Hybrid Journal   (Followers: 10, SJR: 0.595, CiteScore: 1)
European J. of Intl. Management     Hybrid Journal   (Followers: 1, SJR: 0.3, CiteScore: 1)
Global Business and Economics Review     Hybrid Journal   (Followers: 1, SJR: 0.154, CiteScore: 0)
Interdisciplinary Environmental Review     Hybrid Journal   (Followers: 3)
Intl. J. of Abrasive Technology     Hybrid Journal   (Followers: 2, SJR: 0.279, CiteScore: 0)
Intl. J. of Accounting and Finance     Hybrid Journal   (Followers: 15)
Intl. J. of Accounting, Auditing and Performance Evaluation     Hybrid Journal   (Followers: 14, SJR: 0.14, CiteScore: 0)
Intl. J. of Ad Hoc and Ubiquitous Computing     Hybrid Journal   (Followers: 8, SJR: 0.21, CiteScore: 1)
Intl. J. of Adaptive and Innovative Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Additive and Subtractive Materials Manufacturing     Hybrid Journal   (Followers: 5)
Intl. J. of Advanced Intelligence Paradigms     Hybrid Journal   (Followers: 4, SJR: 0.144, CiteScore: 1)
Intl. J. of Advanced Mechatronic Systems     Hybrid Journal   (Followers: 3, SJR: 0.132, CiteScore: 0)
Intl. J. of Advanced Media and Communication     Hybrid Journal   (Followers: 21, SJR: 0.124, CiteScore: 0)
Intl. J. of Advanced Operations Management     Hybrid Journal   (Followers: 8, SJR: 0.163, CiteScore: 0)
Intl. J. of Aerodynamics     Hybrid Journal   (Followers: 26)
Intl. J. of Agent-Oriented Software Engineering     Hybrid Journal   (Followers: 3)
Intl. J. of Agile and Extreme Software Development     Hybrid Journal   (Followers: 6)
Intl. J. of Agile Systems and Management     Hybrid Journal   (Followers: 6, SJR: 0.878, CiteScore: 3)
Intl. J. of Agricultural Resources, Governance and Ecology     Hybrid Journal   (Followers: 2, SJR: 0.152, CiteScore: 0)
Intl. J. of Alternative Propulsion     Hybrid Journal   (Followers: 8)
Intl. J. of Applied Cryptography     Hybrid Journal   (Followers: 10, SJR: 0.455, CiteScore: 3)
Intl. J. of Applied Decision Sciences     Hybrid Journal   (Followers: 1, SJR: 0.275, CiteScore: 1)
Intl. J. of Applied Management Science     Hybrid Journal   (Followers: 4, SJR: 0.229, CiteScore: 0)
Intl. J. of Applied Nonlinear Science     Hybrid Journal   (Followers: 1)
Intl. J. of Applied Pattern Recognition     Hybrid Journal   (Followers: 5)
Intl. J. of Applied Systemic Studies     Hybrid Journal   (SJR: 0.129, CiteScore: 0)
Intl. J. of Arab Culture, Management and Sustainable Development     Hybrid Journal   (Followers: 7)
Intl. J. of Artificial Intelligence and Soft Computing     Hybrid Journal   (Followers: 10)
Intl. J. of Arts and Technology     Hybrid Journal   (Followers: 6, SJR: 0.225, CiteScore: 1)
Intl. J. of Auditing Technology     Hybrid Journal   (Followers: 5)
Intl. J. of Automation and Control     Hybrid Journal   (Followers: 8, SJR: 0.189, CiteScore: 1)
Intl. J. of Automation and Logistics     Hybrid Journal   (Followers: 5)
Intl. J. of Automotive Composites     Hybrid Journal   (Followers: 3)
Intl. J. of Automotive Technology and Management     Hybrid Journal   (Followers: 6, SJR: 0.374, CiteScore: 1)
Intl. J. of Autonomic Computing     Hybrid Journal   (Followers: 2)
Intl. J. of Autonomous and Adaptive Communications Systems     Hybrid Journal   (Followers: 3, SJR: 0.128, CiteScore: 0)
Intl. J. of Aviation Management     Hybrid Journal   (Followers: 5)
Intl. J. of Banking, Accounting and Finance     Hybrid Journal   (Followers: 14, SJR: 0.137, CiteScore: 0)
Intl. J. of Behavioural Accounting and Finance     Hybrid Journal   (Followers: 9)
Intl. J. of Behavioural and Healthcare Research     Hybrid Journal   (Followers: 8)
Intl. J. of Bibliometrics in Business and Management     Hybrid Journal   (Followers: 2)
Intl. J. of Big Data Intelligence     Hybrid Journal   (Followers: 18)
Intl. J. of Bio-Inspired Computation     Hybrid Journal   (Followers: 1, SJR: 0.721, CiteScore: 4)
Intl. J. of Bioinformatics Research and Applications     Hybrid Journal   (Followers: 13, SJR: 0.157, CiteScore: 0)
Intl. J. of Biomechatronics and Biomedical Robotics     Hybrid Journal   (Followers: 4)
Intl. J. of Biomedical Engineering and Technology     Hybrid Journal   (Followers: 4, SJR: 0.205, CiteScore: 1)
Intl. J. of Biomedical Nanoscience and Nanotechnology     Hybrid Journal   (Followers: 6)
Intl. J. of Biometrics     Hybrid Journal   (Followers: 4, SJR: 0.155, CiteScore: 0)
Intl. J. of Biotechnology     Hybrid Journal   (Followers: 5, SJR: 0.269, CiteScore: 1)
Intl. J. of Bonds and Derivatives     Hybrid Journal   (Followers: 1)
Intl. J. of Business and Emerging Markets     Hybrid Journal   (Followers: 2)
Intl. J. of Business and Globalisation     Hybrid Journal   (Followers: 2, SJR: 0.263, CiteScore: 1)
Intl. J. of Business and Systems Research     Hybrid Journal   (Followers: 1, SJR: 0.104, CiteScore: 0)
Intl. J. of Business Competition and Growth     Hybrid Journal   (Followers: 5)
Intl. J. of Business Continuity and Risk Management     Hybrid Journal   (Followers: 14)
Intl. J. of Business Environment     Hybrid Journal   (Followers: 2)
Intl. J. of Business Excellence     Hybrid Journal   (Followers: 3, SJR: 0.274, CiteScore: 1)
Intl. J. of Business Forecasting and Marketing Intelligence     Hybrid Journal   (Followers: 6)
Intl. J. of Business Governance and Ethics     Hybrid Journal   (Followers: 4, SJR: 0.171, CiteScore: 0)
Intl. J. of Business Information Systems     Hybrid Journal   (Followers: 15, SJR: 0.266, CiteScore: 1)
Intl. J. of Business Innovation and Research     Hybrid Journal   (Followers: 10, SJR: 0.28, CiteScore: 1)
Intl. J. of Business Intelligence and Data Mining     Hybrid Journal   (Followers: 30, SJR: 0.249, CiteScore: 2)
Intl. J. of Business Intelligence and Systems Engineering     Hybrid Journal  
Intl. J. of Business Performance and Supply Chain Modelling     Hybrid Journal   (Followers: 16, SJR: 0.18, CiteScore: 0)
Intl. J. of Business Performance Management     Hybrid Journal   (Followers: 8, SJR: 0.197, CiteScore: 1)
Intl. J. of Business Process Integration and Management     Hybrid Journal   (Followers: 12, SJR: 0.149, CiteScore: 1)
Intl. J. of Chinese Culture and Management     Hybrid Journal   (Followers: 4)
Intl. J. of Circuits and Architecture Design     Hybrid Journal   (Followers: 6)
Intl. J. of Cloud Computing     Hybrid Journal   (Followers: 24)
Intl. J. of Cognitive Biometrics     Hybrid Journal   (Followers: 2)
Intl. J. of Cognitive Performance Support     Hybrid Journal   (Followers: 3)
Intl. J. of Collaborative Engineering     Hybrid Journal  
Intl. J. of Collaborative Enterprise     Hybrid Journal  
Intl. J. of Collaborative Intelligence     Hybrid Journal   (Followers: 1)
Intl. J. of Communication Networks and Distributed Systems     Hybrid Journal   (Followers: 7, SJR: 0.177, CiteScore: 1)
Intl. J. of Comparative Management     Hybrid Journal  
Intl. J. of Competitiveness     Hybrid Journal   (Followers: 2)
Intl. J. of Complexity in Applied Science and Technology     Hybrid Journal  
Intl. J. of Complexity in Leadership and Management     Hybrid Journal   (Followers: 28)
Intl. J. of Computational Biology and Drug Design     Hybrid Journal   (Followers: 1, SJR: 0.231, CiteScore: 1)
Intl. J. of Computational Complexity and Intelligent Algorithms     Hybrid Journal   (Followers: 1)
Intl. J. of Computational Economics and Econometrics     Hybrid Journal   (Followers: 3)
Intl. J. of Computational Intelligence in Bioinformatics and Systems Biology     Hybrid Journal   (Followers: 10)
Intl. J. of Computational Intelligence Studies     Hybrid Journal   (Followers: 3)
Intl. J. of Computational Materials Science and Surface Engineering     Hybrid Journal   (Followers: 6, SJR: 0.135, CiteScore: 0)
Intl. J. of Computational Science and Engineering     Hybrid Journal   (Followers: 1, SJR: 0.373, CiteScore: 1)
Intl. J. of Computational Systems Engineering     Hybrid Journal   (Followers: 1)
Intl. J. of Computational Vision and Robotics     Hybrid Journal   (Followers: 5, SJR: 0.129, CiteScore: 0)
Intl. J. of Computer Aided Engineering and Technology     Hybrid Journal   (Followers: 2, SJR: 0.131, CiteScore: 0)
Intl. J. of Computer Applications in Technology     Hybrid Journal   (Followers: 2, SJR: 0.225, CiteScore: 1)
Intl. J. of Computers in Healthcare     Hybrid Journal   (Followers: 2)
Intl. J. of Computing Science and Mathematics     Hybrid Journal   (Followers: 1, SJR: 0.299, CiteScore: 1)
Intl. J. of Continuing Engineering Education and Life-Long Learning     Hybrid Journal   (Followers: 3, SJR: 0.196, CiteScore: 0)
Intl. J. of Convergence Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Corporate Governance     Hybrid Journal   (Followers: 4)
Intl. J. of Corporate Strategy and Social Responsibility     Hybrid Journal   (Followers: 3)
Intl. J. of Creative Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Critical Accounting     Hybrid Journal   (Followers: 2)
Intl. J. of Critical Computer-Based Systems     Hybrid Journal   (SJR: 0.127, CiteScore: 0)
Intl. J. of Critical Infrastructures     Hybrid Journal   (Followers: 2, SJR: 0.173, CiteScore: 1)
Intl. J. of Data Analysis Techniques and Strategies     Hybrid Journal   (Followers: 3, SJR: 0.23, CiteScore: 0)
Intl. J. of Data Mining and Bioinformatics     Hybrid Journal   (Followers: 15, SJR: 0.217, CiteScore: 1)
Intl. J. of Data Mining, Modelling and Management     Hybrid Journal   (Followers: 13, SJR: 0.209, CiteScore: 0)
Intl. J. of Data Science     Hybrid Journal   (Followers: 9)
Intl. J. of Decision Sciences, Risk and Management     Hybrid Journal   (Followers: 10)
Intl. J. of Decision Support Systems     Hybrid Journal  
Intl. J. of Design Engineering     Hybrid Journal   (Followers: 13)
Intl. J. of Digital Culture and Electronic Tourism     Hybrid Journal   (Followers: 5)
Intl. J. of Digital Signals and Smart Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Diplomacy and Economy     Hybrid Journal   (Followers: 5)
Intl. J. of Dynamical Systems and Differential Equations     Hybrid Journal   (Followers: 1, SJR: 0.184, CiteScore: 0)
Intl. J. of Earthquake and Impact Engineering     Hybrid Journal   (Followers: 4)
Intl. J. of Economic Policy in Emerging Economies     Hybrid Journal   (Followers: 2, SJR: 0.134, CiteScore: 1)
Intl. J. of Economics and Accounting     Hybrid Journal   (Followers: 1)
Intl. J. of Economics and Business Research     Hybrid Journal   (Followers: 4, SJR: 0.129, CiteScore: 0)
Intl. J. of Education Economics and Development     Hybrid Journal   (Followers: 5, SJR: 0.156, CiteScore: 0)
Intl. J. of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 9, SJR: 0.225, CiteScore: 1)
Intl. J. of Electronic Banking     Hybrid Journal   (Followers: 5)
Intl. J. of Electronic Business     Hybrid Journal   (Followers: 1, SJR: 0.24, CiteScore: 0)
Intl. J. of Electronic Customer Relationship Management     Hybrid Journal   (Followers: 2, SJR: 0.148, CiteScore: 0)
Intl. J. of Electronic Democracy     Hybrid Journal   (Followers: 1)
Intl. J. of Electronic Finance     Hybrid Journal   (Followers: 4, SJR: 0.155, CiteScore: 0)
Intl. J. of Electronic Governance     Hybrid Journal   (SJR: 0.142, CiteScore: 1)
Intl. J. of Electronic Healthcare     Hybrid Journal   (Followers: 2, SJR: 0.254, CiteScore: 1)
Intl. J. of Electronic Marketing and Retailing     Hybrid Journal   (Followers: 7, SJR: 0.249, CiteScore: 1)
Intl. J. of Electronic Security and Digital Forensics     Hybrid Journal   (Followers: 9, SJR: 0.137, CiteScore: 0)
Intl. J. of Electronic Transport     Hybrid Journal   (Followers: 7)
Intl. J. of Embedded Systems     Hybrid Journal   (Followers: 5, SJR: 0.48, CiteScore: 1)
Intl. J. of Emergency Management     Hybrid Journal   (Followers: 10, SJR: 0.185, CiteScore: 0)
Intl. J. of Energy Technology and Policy     Hybrid Journal   (Followers: 7, SJR: 0.224, CiteScore: 0)
Intl. J. of Engineering Management and Economics     Hybrid Journal   (Followers: 4)
Intl. J. of Engineering Systems Modelling and Simulation     Hybrid Journal   (Followers: 9, SJR: 0.175, CiteScore: 0)
Intl. J. of Enterprise Network Management     Hybrid Journal   (SJR: 0.118, CiteScore: 0)
Intl. J. of Entrepreneurial Venturing     Hybrid Journal   (Followers: 1, SJR: 0.308, CiteScore: 1)
Intl. J. of Entrepreneurship and Innovation Management     Hybrid Journal   (Followers: 27, SJR: 0.255, CiteScore: 1)
Intl. J. of Entrepreneurship and Small Business     Hybrid Journal   (Followers: 26, SJR: 0.401, CiteScore: 1)
Intl. J. of Environment and Health     Hybrid Journal   (Followers: 5, SJR: 0.181, CiteScore: 0)
Intl. J. of Environment and Pollution     Hybrid Journal   (Followers: 2, SJR: 0.215, CiteScore: 1)
Intl. J. of Environment and Sustainable Development     Hybrid Journal   (Followers: 15, SJR: 0.132, CiteScore: 0)
Intl. J. of Environment and Waste Management     Hybrid Journal   (Followers: 4, SJR: 0.175, CiteScore: 0)
Intl. J. of Environment, Workplace and Employment     Hybrid Journal   (Followers: 4, SJR: 0.117, CiteScore: 0)
Intl. J. of Environmental Engineering     Hybrid Journal   (Followers: 6)
Intl. J. of Environmental Policy and Decision Making     Hybrid Journal   (Followers: 3)
Intl. J. of Environmental Technology and Management     Hybrid Journal   (Followers: 1, SJR: 0.141, CiteScore: 0)
Intl. J. of Exergy     Hybrid Journal   (Followers: 2, SJR: 0.396, CiteScore: 1)
Intl. J. of Experimental and Computational Biomechanics     Hybrid Journal   (Followers: 8)
Intl. J. of Experimental Design and Process Optimisation     Hybrid Journal   (Followers: 5)
Intl. J. of Export Marketing     Hybrid Journal   (Followers: 2)
Intl. J. of Financial Engineering and Risk Management     Hybrid Journal   (Followers: 4)
Intl. J. of Financial Innovation in Banking     Hybrid Journal   (Followers: 3)
Intl. J. of Financial Markets and Derivatives     Hybrid Journal   (Followers: 4)
Intl. J. of Financial Services Management     Hybrid Journal   (Followers: 1)
Intl. J. of Food Safety, Nutrition and Public Health     Hybrid Journal   (Followers: 16)
Intl. J. of Forensic Engineering     Hybrid Journal   (Followers: 2)
Intl. J. of Forensic Engineering and Management     Hybrid Journal   (Followers: 3)
Intl. J. of Foresight and Innovation Policy     Hybrid Journal   (Followers: 5, SJR: 0.115, CiteScore: 0)
Intl. J. of Functional Informatics and Personalised Medicine     Hybrid Journal   (Followers: 4)
Intl. J. of Fuzzy Computation and Modelling     Hybrid Journal   (Followers: 2)
Intl. J. of Gender Studies in Developing Societies     Hybrid Journal   (Followers: 4)
Intl. J. of Global Energy Issues     Hybrid Journal   (Followers: 9, SJR: 0.199, CiteScore: 0)
Intl. J. of Global Environmental Issues     Hybrid Journal   (Followers: 3, SJR: 0.153, CiteScore: 0)
Intl. J. of Global Warming     Hybrid Journal   (Followers: 2, SJR: 0.259, CiteScore: 1)
Intl. J. of Globalisation and Small Business     Hybrid Journal   (Followers: 11, SJR: 0.233, CiteScore: 1)
Intl. J. of Governance and Financial Intermediation     Hybrid Journal  
Intl. J. of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 2)
Intl. J. of Green Economics     Hybrid Journal   (Followers: 3, SJR: 0.209, CiteScore: 0)
Intl. J. of Grid and Utility Computing     Hybrid Journal   (SJR: 0.341, CiteScore: 2)
Intl. J. of Happiness and Development     Hybrid Journal   (Followers: 7)
Intl. J. of Healthcare Technology and Management     Hybrid Journal   (Followers: 7, SJR: 0.139, CiteScore: 0)
Intl. J. of Heavy Vehicle Systems     Hybrid Journal   (Followers: 7, SJR: 0.23, CiteScore: 0)
Intl. J. of High Performance Computing and Networking     Hybrid Journal   (Followers: 4, SJR: 0.428, CiteScore: 1)
Intl. J. of High Performance Systems Architecture     Hybrid Journal   (Followers: 6, SJR: 0.116, CiteScore: 0)
Intl. J. of Higher Education and Sustainability     Hybrid Journal   (Followers: 5)
Intl. J. of Hospitality and Event Management     Hybrid Journal   (Followers: 4)
Intl. J. of Human Factors and Ergonomics     Hybrid Journal   (Followers: 18, SJR: 0.117, CiteScore: 0)
Intl. J. of Human Factors Modelling and Simulation     Hybrid Journal   (Followers: 15)
Intl. J. of Human Resources Development and Management     Hybrid Journal   (Followers: 26, SJR: 0.162, CiteScore: 0)
Intl. J. of Human Rights and Constitutional Studies     Hybrid Journal   (Followers: 13)
Intl. J. of Humanitarian Technology     Hybrid Journal  
Intl. J. of Hydrology Science and Technology     Hybrid Journal   (Followers: 5, SJR: 0.43, CiteScore: 2)
Intl. J. of Hydromechatronics     Hybrid Journal  
Intl. J. of Image Mining     Hybrid Journal   (Followers: 1)
Intl. J. of Immunological Studies     Hybrid Journal   (Followers: 1)
Intl. J. of Indian Culture and Business Management     Hybrid Journal  
Intl. J. of Industrial and Systems Engineering     Hybrid Journal   (Followers: 11, SJR: 0.34, CiteScore: 1)
Intl. J. of Industrial Electronics and Drives     Hybrid Journal   (Followers: 4)
Intl. J. of Information and Coding Theory     Hybrid Journal   (Followers: 6)
Intl. J. of Information and Communication Technology     Hybrid Journal   (Followers: 8, SJR: 0.13, CiteScore: 0)
Intl. J. of Information and Computer Security     Hybrid Journal   (Followers: 17, SJR: 0.141, CiteScore: 0)
Intl. J. of Information and Decision Sciences     Hybrid Journal   (Followers: 11, SJR: 0.233, CiteScore: 1)
Intl. J. of Information and Operations Management Education     Hybrid Journal   (Followers: 8)

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Journal Cover
International Journal of Biomedical Engineering and Technology
Journal Prestige (SJR): 0.205
Citation Impact (citeScore): 1
Number of Followers: 4  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1752-6418 - ISSN (Online) 1752-6426
Published by Inderscience Publishers Homepage  [435 journals]
  • Novel energy efficient predictive link quality based reliable routing for
           wireless multimedia bio-sensor networks in bio-medical invention research
           and bionic utilities monitoring application
    • Authors: G. Kirubasri, N. Uma Maheswari, R. Venkatesh
      Pages: 219 - 236
      Abstract: With recent advancements and cheaper availability of small wireless devices, Wireless Multimedia Sensor Networks (WMSNs) are used in large number of applications which requires high Quality of Service (QoS) such as sensor surveillance network and bionic utilities monitoring etc. Satisfying these QoS requirements along with reliability and energy efficiency is a resource-constrained problem. This paper swot the impact of Link State Estimates and proposes an Energy Efficient Predictive Link Quality based Reliable Routing (EEPLQRR) scheme for WMSNs. EEPLQRR calculates the reliability scores to predict the link quality of various paths with optimal energy and finalises the reliable route. Simulations were done to evaluate EEPLQRR against Adaptive Reliable Routing based on Clustering Hierarchy and Multimedia Reliable Energy Efficient Routing Protocol. It conserved around 3-8 J of energy in 50 s, reduced 3-9% of packet drops with almost constant delay and had achieved 13-22% of increased network life time without affecting the network throughput.
      Keywords: wireless multimedia sensor networks; link state estimates; residual energy; reliability; predictive link quality routing; received signal strength indicator; bionic utility; bio-medical invention
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 219 - 236
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.089947
      Issue No: Vol. 26, No. 3/4 (2018)
       
  • An intelligent technique for uniquely recognising face and finger image
           using learning vector quantisation (LVQ)-based template key generation
    • Authors: V. Arulkumar, P. Vivekanandan
      Pages: 237 - 249
      Abstract: In current days, to identify, verify and detect the humans by using the bio recognition based on multimodal biometric was speedily developed which focus to necessitate the security keys in the authentication process of industries/organisation. The main goal of this organisation system is to integrate the instability biometric feature of the users and it is also used to formulate the key unimaginable to an unauthorised person. In this proposed work, in multimodal biometrics methods, particularly face and fingerprint based novel pattern matching is described. There are three modules to be used for exact feature extraction; multimodal biometric pattern generation and pattern matching are used to achieve better result for this proposed work. At first, from the face images and finger prints the minutiae points, face features and some other features are extracted. Consequently, by using a density-based score level fusion, the extracted features are merged together at match score level to create the multi-biometric pattern. After that, learning vector quantisation is used to perform the pattern matching. The assessment process was performed using large scale subjects to enter the system proving the ability of the proposed system over the state of art.
      Keywords: face; finger image; multimodal biometric pattern generation; feature extraction; density-based score level fusion; learning vector quantisation; LVQ; key generation
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 237 - 249
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.089951
      Issue No: Vol. 26, No. 3/4 (2018)
       
  • Identity and access management as a service in e-healthcare cloud
    • Authors: S.N. Dhanabagyam, G.R. Karpagam
      Pages: 250 - 265
      Abstract: Data in cloud are protected, sensitive, confidential and are only accessible to actual individuals like certain identity. The resources are accessible through modification of the access control policies based on the user request. During the implementation of this online, the challenges like providing security to the identity and getting access to the resources through the refactoring of access control policies are to be dealt with. Here we introduced a framework for getting over these challenges. Federated identity management along with single sign-on could be utilised for providing security of identity to the user. Therefore the goal is the enhancement of the security of identity along with the availability of resources in multitier cloud and to provide inter-link cloud federation. The workflow offers an insight concerned with the identity and access management in the form of a service to e-healthcare cloud and thereafter a case scenario is studied.
      Keywords: IAM; identity and access management; attribute based access control
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 250 - 265
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.089955
      Issue No: Vol. 26, No. 3/4 (2018)
       
  • Dual tree complex wavelet transform incorporating SVD and bilateral filter
           for image denoising
    • Authors: Mohan Laavanya, Marappan Karthikeyan
      Pages: 266 - 278
      Abstract: In recent years massive production of digital images increased the need for image denoising. The effect of noise can be removed by using spatial and frequency domain approaches. Discrete Wavelet Transforms (DWT) is a frequency domain approach, which removes the noise by shrinking the wavelet coefficients using simple threshold value. Even though wavelet transform is popularly used in image processing applications, shift variance and poor directional selectivity are the two noteworthy limitations. In order to overcome these limitations, Dual Tree Complex Wavelet Transform (DTCWT) is used for perfect reconstruction of noisy image. A DTCWT incorporating Singular Value Decomposition (SVD) with Frobenius energy correcting factor and bilateral filter for image denoising using bivariate shrinkage function for thresholding the image is proposed in this paper. The denoising performance of the proposed method in terms of PSNR and it indicates that the proposed method outperforms over other existing techniques.
      Keywords: bilateral filter; bivariate shrinkage; DTCWT; image denoising; SVD; thresholding technique; wavelet transform
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 266 - 278
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.089956
      Issue No: Vol. 26, No. 3/4 (2018)
       
  • Tri-texture feature extraction and region growing-level set segmentation
           in breast cancer diagnosis
    • Authors: S.L. Aarthy, S. Prabu
      Pages: 279 - 303
      Abstract: Computer Aided Diagnosis (CAD) systems utilises the computer technology to detect and classify the normal and abnormal levels in breast cancer. This paper employs the series of feature extraction and the novel segmentation methods to improve the performance of cancer detection in breast region. Tri-texture feature extraction method such as grey level co-occurrence matrix (GLCM), Gabor and wavelet texture features are extracted from the segmented output. This paper employs the hybrid Genetic Algorithm (GA)-Particle Swarm Optimisation (PSO) for relevant features for classification. Besides, the proposed work employs the two classifiers such as Support Vector Machine (SVM) (to classify normal and abnormal level) and Neural Network (NN) (to label the architectural distortion, asymmetry, masses and micro calcification). The hybrid Region Growing and Level (RGL) set methods provides the segmented output to analyse the abnormal categories. The utilisation of multiple methods improves the abnormality analysis of breast cancer diagnosis applications.
      Keywords: breast cancer image analysis; grey level co-occurrence matrix; level set; neural network classifier; region growing; support vector machine; texture feature
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 279 - 303
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.089958
      Issue No: Vol. 26, No. 3/4 (2018)
       
  • Denoising of images using principal component analysis and undecimated
           dual tree complex wavelet transform
    • Authors: Veeramani Vijayaraghavan, Marappan Karthikeyan
      Pages: 304 - 315
      Abstract: Here, a method based on the combination of Undecimated Discrete Wavelet Transform (UDWT) and Dual Tree Complex Wavelet Transform (DTCWT) with PCA for denoising images corrupted by Gaussian noise is proposed. The blend of UDWT and DTCWT results in Undecimated Dual Tree Complex Wavelet Transform (UDTCWT) which is a one-to-one relationship between co-located complex coefficients in all sub-bands and offers improved lower scale sub-band localisation together with improved directional selectivity. But each wavelet coefficients and its parent are not aligned properly. The proposed method uses UDTCWT with PCA to obtain the compaction of signal energy in to a few principal components by spreading the noise over all the transformed coefficients. These coefficients allow removing the noise, with a suitable locally adaptive window shrinkage function. This denoising method is tested on standard test images. The results show that this method is better than existing methods in terms of PSNR.
      Keywords: complex coefficient; directional selectivity; image denoising; principal component; shrinkage
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 304 - 315
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.089962
      Issue No: Vol. 26, No. 3/4 (2018)
       
  • Pharmacovigilance predictive analysis using NLP-based cloud
    • Authors: Veeramani Vijayaraghavan, Marappan Karthikeyan
      Pages: 316 - 324
      Abstract: Nowadays, healthcare on Big data are a major research area in Computer Science field. This paper presents a mysterious analysis of pharmacovigilance from reviewers using NLP cloud environment. The historical and comparative methods upon doctors' prescription data and analysis are performed in the NLP (Natural Language Processing) cloud. For improving analysis of pharmacovigilance in medical research our system of approach not only explains the healthcare monitoring system but also scalable psychoanalysis of medical data. The system of approach explored by the variation of offline and online feedbacks of patients and it reveals through sentimental analysis in the NLP cloud system. Pharmacovigilance in NLP cloud analysis process identified the emotional analysis of the patient medicine intake data. The existing conventional methods of pharmacovigilance are taken upon clinical trials and small groups of tests data. The comparison result helps to find quicker analysis of medicine intake of the patients and protect from adverse drug event. Our approach will gain with the effort by the pharmacovigilance in cloud for patients. This innovation furnishes patients and specialists with openness to data that can enhance healthcare by investigating the primary as well as secondary data. A novelty approach which will make better service for tablets and pharma products in the medical field and as well as avoids overdosage and adverse effect event.
      Keywords: cloud computing; pharmacovigilance; natural language processing; big data; IOT; ADR; adverse drug reaction; healthcare
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 316 - 324
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.089966
      Issue No: Vol. 26, No. 3/4 (2018)
       
  • Burst communication by using self-adaptive buffer allocation with
           energy-efficient in-body sensor networks
    • Authors: N. Sangeethapriya, R. Sasikala, A. Srinivasan
      Pages: 325 - 340
      Abstract: The revolution of wireless sensory devices in healthcare services is monitoring of human movements. Such type of motion analysis uses human's inertial information. This study is achieved by using Body Sensor Network (BSN) in which many wireless sensor nodes are placed on different parts of the body. Disease is recognised by shared processing of sensor information from multiple locations of the body. Even though this platform has high potential in healthcare, the commercialisation of these systems is difficult because of power requirements and wearability problems. In this paper, a self-adaptive greedy buffer allocation and scheduling algorithm (SGBAS) is presented for optimisation of communication model for BSN applications which uses self-adaptive buffers for limitation of communication to short bursts, power usage and transmitting sensed data to the backend servers periodically. The optimisation of QoS is achieved by introducing buffers. This project provides a self-adaptive heuristic scheme which is formulated to reduce transmissions among sensor nodes. For early diagnosis, it sends the data at right time for the analysis of healthcare professionals. Several experimental evaluation and simulations is to be done to assess the proposed SGBAS technique for allocation of buffers in real time under various simulation setups. Experiments demonstrate the effectiveness of SGBAS power reduction techniques.
      Keywords: BSN; body sensor networks; sensed data processing; burst communications; adaptive buffer allocation; buffer resizing; energy optimisation; SGBAS; self-adaptive greedy buffer allocation and scheduling algorithm
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 325 - 340
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.089967
      Issue No: Vol. 26, No. 3/4 (2018)
       
  • Biclustering of gene expression data using biclustering iterative
           signature algorithm and biclustering coherent column
    • Authors: E. Saravana Kumar, K. Vengatesan, R.P. Singh, C. Rajan
      Pages: 341 - 352
      Abstract: Clustering has various methods for solving the different research problems in biological domain. Analysis of gene expression data in biomedical filed is very critical task, in which various algorithms are proposed under different experimental conditions. In this proposed work the gene expression data are tested with Biclustering Bimax and Biclustering Iterative Signature Algorithm (ISA) and Biclustering Coherent Column; the experimental result show the Biclustering ISA has demonstrated a coherent manifestation contour only in the surfeit of subset of microarray experiments and produced momentous result.
      Keywords: clustering; gene expression; biclustering; iterative signature algorithm formatting
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 341 - 352
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.089968
      Issue No: Vol. 26, No. 3/4 (2018)
       
  • Automatic glioblastoma multiforme detection using hybrid-SVM with improved
           particle swarm optimisation
    • Authors: S. Sountharrajan, E. Suganya, M. Karthiga, C. Rajan
      Pages: 353 - 364
      Abstract: Gliomas is one of the harmful life-frightening brain dementia which occurs with the unnecessary growth of cells in the brain. In medical field, detection of brain tumours is a challenging task. Medical resonance imaging is one of the best techniques to identify the tumours. Gaussian filters are used in pre-processing to increase the image quality. Grey-level matter co-occurrence matrix can be used to extract the features by using spatial relationship between the image pixels. In this paper, an advanced classification technique called hybrid-SVM is introduced to classify the brain image with reduced features. To improve the efficiency hybrid-SVM is used with radial basis function kernel. The proposed algorithm classifies the brain tumour classes intelligently. Hybrid-SVM with improved particle swarm optimisation is used to overcome the drawback of hyperplane selection. The experimental result analysis of the proposed work outstrips the other recent classifiers with 92.75% accuracy rate.
      Keywords: gliomas; Gaussian filters; grey-level co-occurrence matrix; improved particle swarm optimisation
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 353 - 364
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.089969
      Issue No: Vol. 26, No. 3/4 (2018)
       
  • Quantifying speech signal of deaf speakers with territory specific
           utterances to understand the acoustic characteristics
    • Authors: J. Nirmaladevi, K. Bommanna Raja
      Pages: 365 - 375
      Abstract: Hearing loss, deafness, hard of hearing and hearing impairment are the various terms used in the deaf community as a condition for inability to hear either partial or total impairment. The hearing loss in most of the deaf persons affects the language development to lead a normal life. The acoustic characteristic of deaf speaker is estimated in comparison with the normal speakers to create an assistive method. The speech signals are procured from the 32 territory-specific normal and deaf speakers by uttering ten Tamil words. The parameters analysed are pitch, formants, jitter and shimmer. From the overall results, it is observed that acoustic characteristics differ significantly for the deaf speakers and the quantitative values of the parameters are controlled by the normal speakers. Further the acoustic parameters may be used as a correction factor for the deaf speech signal such that the listeners can understand the deaf speech.
      Keywords: deaf speaker; hard of hearing; deaf speech processing; assistive mechanism for deaf speaker; speech synthesisation; speech signal processing
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 365 - 375
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.089970
      Issue No: Vol. 26, No. 3/4 (2018)
       
  • Adaptive neuro-fuzzy inference system for classification of mammographic
           image using electromagnetism-like optimisation
    • Authors: M.N. Vimalkumar, K. Helenprabha
      Pages: 376 - 384
      Abstract: Breast cancer diagnosis system plays a vital role in medical field. This system helps the doctors to diagnose in much more efficient way. Breast cancer is a very common class of cancer among women. This paper mainly focuses on breast cancer recurrence problem, hybridising two methodologies; Electro-Magnetism-like Optimisation (EMO) and Adaptive Neuro-Fuzzy Inference System (ANFIS), to develop a good diagnosis system. EMO has been used as a multilevel segmentation algorithm which can effectively identify the threshold values of a digital image within the reduced number of iterations and decreasing the computational complexity. Original proposals show better results in diagnosing cancer affected cells to find the best features, whilst ANFIS algorithm is used as a classifier. ANFIS model combines the neural network adaptive capabilities and the fuzzy logic qualitative approach. The robustness of the proposed hybrid methodology is examined using classification accuracy, sensitivity, and specificity.
      Keywords: mammographic image; EMO; RSVM; ANFIS
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 376 - 384
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.090011
      Issue No: Vol. 26, No. 3/4 (2018)
       
  • An enhanced filtering-based approach to approximate volumetric ambient
           occlusion
    • Authors: Naima Bahi, Mohamed Chaouki Babahenini
      Pages: 385 - 403
      Abstract: Achieving, through shading, a good visualisation of scientific volumetric data sets is prohibitive for interactive applications due to a significant amount of existing occlusion effects and lighting variation. Ambient occlusion, although allowing us to understand these data through soft shadows, often comes with an important cost of pre-processing which prevents its use especially in the applications based on the transfer function editing. In this paper, we present a new method for approximating ambient occlusion for volumetric data using an exponential function which allows for high-quality hardware-accelerated filtering and leads us to achieve more compact information using a filterable representation in order to avoid the classic occlusion test with a binary manner. Our evaluation of a series of medical images demonstrates that the proposed algorithm provides smooth shading, producing high quality results, achieves an interactive rate and consumes less memory.
      Keywords: scientific 3D visualisation; scientific data sets; interactive application; volume rendering; shading; ambient occlusion; GPU-based filtering; medical images
      Citation: International Journal of Biomedical Engineering and Technology, Vol. 26, No. 3/4 (2018) pp. 385 - 403
      PubDate: 2018-02-26T23:20:50-05:00
      DOI: 10.1504/IJBET.2018.089939
      Issue No: Vol. 26, No. 3/4 (2018)
       
 
 
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