Recent Paradigms of Artificial Intelligence-based on Internet of Things (AIOT) towards Healthcare Applications

  in Special Issue   Posted on October 1, 2020

Information for the Special Issue

Submission Deadline: Fri 25 Dec 2020
Journal Impact Factor : 0.000
Journal Name : Journal of Reliable Intelligent Environments
Journal Publisher:
Website for the Special Issue: https://www.springer.com/journal/40860/updates/18423948
Journal & Submission Website: https://www.springer.com/journal/40860

Special Issue Call for Papers:

Aims and Scope:  Current trends in Industry 4.0 are largely related to issues of reliability and availability. As a result of these trends and engineering systems’ complexity, research and development needs now refer to new solutions in the integration of intelligent machines or systems, with emphasis on changes in production processes aimed at increasing production efficiency or equipment reliability. The emergence of innovative technologies like Artificial Intelligence and IoT gives new business models based on innovation, cooperation networks, and the enhancement of endogenous resources is assumed to be a strong contribution to the development of health care applications all around the world. Innovation and engineering, focused on healthcare, reliability, and availability of resources, have a key role in this context.  In recent months, there have been increased research activities in health care applications. Communities of practice are essential to solving complex situations using available technologies. Moreover, it has become imperative that we share knowledge and build practices of new and innovative technologies to overcome barriers impacting the current global healthcare and economic crisis. Developing the reliable systems with available technologies have great potential to reduce healthcare costs and improve outcomes. Rapid growth in the development of artificial intelligence for automation and decision making have enhanced the predictability of complex problems. Meanwhile, hybrid AIOT techniques can predict and optimize complex taskswith easy and suggest solutionsin health care systems. In numerical big data, paradigms taking the form of different patterns (e.g., text, image, video, audio, graphics) can be processed in uniformed structure for considering real-world environments. These technologies enabling built systems with where realtime information is gathered and historical data accumulated to support decision making that benefit the users of that environment. These findings have significant implications for the design and development of any reliable systems or create the reliable intelligent environments to support public health policy.  The special issue will focus on the latest trend in the Intelligent Environment and Data Sciences and well as advances in artificial intelligence based on the Internet of Things (AIOT) towards health care applications.   The research topics covered by the journal are (but not limited to): 

  • Modeling system for adjusting temperature automatically
  • Diagonising symptoms using Artificial Intelligence and Computer Vision
  • Data Processing for predicting Diseases based on Symptoms 
  • Deployment and maintenance problems in healthcare devices
  • Validating Medical Imaging Data and Diagnosis
  • Health Monitoring and Sensoring
  • Applying Data Science for Healthcare Application
  • Artificial Intelligence based on IoT for healthcare (AIOT)
  • Networks and Communication for Tracking the Patients
  • Collecting Requirements using Big Data for Healthcare
  • Modeling and Application of Cognitive Systems 
  • Image Processing for identifying diseases
  • Signal processing to predict the diseases
  • Deep Learning and Machine Learning for Health care
  • Applications Remote Sensing and Tracking of Pandemic Disease Patients

Guest Editors:

Dr. V. Dhilip Kumar, Associate Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India, E-mail: vdhilipkumar@veltech.edu.in Dr. V. Vinoth Kumar, Associate Professor, Department of Computer Science and Engineering, MVJ College of Engineering, Bangalore, India, E-mail: pvkumar243@gmail.com Dr. Polinpapilinho F. Katina, Assistant Professor, Department of Informatics and Engineering systems, University of South Carolina Upstate, Media 211, Spartanburg, SC, USA, E-mail: pkatina@uscupstate.edu Dr. Gautam Srivastava,  Associate Professor, Computer Science, Brandon University, Canada, (IEEE Senior Member), E-mail: srivastavag@brandonu.ca 

Important Dates:

Deadline for manuscript submission: 25th December 2020Notification to authors:                      27th March 2021Submission of revised versions:         28th April 2021Final notification of acceptance:          1st August 2021Final manuscripts due:                         1st September 2021

Submission Guideline:

Paper submissions for the special issue should follow the submission format and guidelines (https://www.springer.com/journal/40860/submission-guidelines).Authors should select ‘SI: AIOT towards Healthcare Applications’ during the submission step ‘Additional Information’.The submitted papers must provide original research that has not been published nor currently under review by other venues. Previously published conference papers should be clearly identified by the authors at the submission stage and an explanation should be provided about how such papers have been extended to be considered for this special issue. 

Review processGuest editors will make an initial determination of the suitability and scope of all submissions. Papers will be evaluated based on their originality, presentation, relevance and contributions, as well as their suitability to the special issue. Papers that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review and the authors will be promptly informed in such cases.A Peer Review procedure will follow in order to perform an objective and robust review of all the manuscripts. Every manuscript will be sent to at least three international reviewers, with recognized experience in the field.