<i>Call for Special Issue Papers:</i> Soft Computing Models for Big Data and Internet of Things

Big DataVol. 8, No. 3 Calls for PapersFree AccessCall for Special Issue Papers: Soft Computing Models for Big Data and Internet of ThingsDeadline for Manuscript Submission: October 5, 2020Guest Editors: Naveen Chilamkurti, Anand Paul, and Akshi KumarGuest Editors: Naveen ChilamkurtiLa Trobe University, Melbourne, Australia;Search for more papers by this author, Anand PaulKyungpook National University, Daegu, South Korea;Search for more papers by this author, and Akshi KumarDelhi Technological University, New Delhi, IndiaSearch for more papers by this authorPublished Online:1 Jun 2020https://doi.org/10.1089/big.2020.29035.cfpAboutSectionsPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail With the ubiquitous internet connectivity and bandwidth in abundance along with reduced cost of wearables and smart devices, the impact of the Internet of Things (IoT) and technology in our lives is manifold and profound.IoT devices are becoming a part of the mainstream electronics culture. Recently there have been many IoT applications such as smart homes, smart cities, smart industry, smart agriculture, smart healthcare which play a significant role in our lives. As the IoT solutions define the new paradigm for customer-oriented digital experience, they are inevitably getting more complex and dynamic.Undoubtedly, the recent advancements in intelligent sensing, embedded internet, edge computing and predictive data mining permeate intelligence and decision making into the physical world which continually enhance human experience in real-time. It is essential to understand that the success of IoT relies on the effective incorporation of big data analytics. “Big Data” is the new buzzword and big data analytics provides real-time insights, which need to be actioned upon quickly to support decision, gain better value and mitigate risk. Thanks to the emerging soft computing techniques which are widely used for coping with imprecision, uncertainty, partial truth, and approximation. Correlation analyses for spatial and temporal data and construction and clustering techniques, complex neural networks are some advances which are investigated and applied by academic researchers and industry within the domain of socio-technical systems.The primary scope of this special issue is to deliberate the progress and challenges of using innovative, novel, secure and smart soft computing solutions to define models as well as methods that explore aspects of dynamics in complex socio-technical systems. We invite recent works pertaining to the design and application of soft computing models to solve complex real-world problems associated to the big data and IoT. This special issue is intended to report high-quality and original research on wide range of applications from data analytics, pattern recognition, software and system modeling, to intelligent control problems and biomedical applications.The list of topics for the special issue includes, but is not limited to, the following:Soft computing for IoT protocol design and optimizationSelf-learning and adaptive networking protocols and algorithmsMachine learning and soft computing-aided IoTIntelligent middleware solutions IoTBrain–computer interface and IoTSecurity, privacy, integrity, and trust in IoTSearch and optimization of big dataParallel, accelerated, and distributed big dataData visualization of big dataSecurity and privacy of big dataSoft computing for big dataMultimedia big-data-driven IoTApplication of big data analyticsNovel algorithms, models, frameworks, platforms in big-data-driven IoT for smart solutionsSoft computing for medical and industrial IoTPlease direct special issue inquiries to Corresponding Guest Editor, Dr. Akshi Kumar, at akshikumar@dce.ac.inInstructions for authors can be found on our website at www.liebertpub.com/big Please submit your papers online to our web-based manuscript submission and peer-review at: www.liebertpub.com/manuscript/bigBig Data is a highly innovative, peer-reviewed journal, provides a unique forum for world-class research exploring the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data, including data science, big data infrastructure and analytics, and pervasive computing.Deadline for manuscript submission: October 5, 2020Special Issue Publication date: Early 2021Advantages of publishing in Big Data include: Fast and user-friendly electronic submissionRapid, high-quality peer reviewMaximum exposure: accessible in 170 countries worldwideOpen Access options availableVisit the Instructions for Authors:www.liebertpub.com/bigSubmit your paper for peer review online:https://mc.manuscriptcentral.com/bigFiguresReferencesRelatedDetails Volume 8Issue 3Jun 2020 InformationCopyright 2020, Mary Ann Liebert, Inc., publishersTo cite this article:Guest Editors: Naveen Chilamkurti, Anand Paul, and Akshi Kumar.Call for Special Issue Papers: Soft Computing Models for Big Data and Internet of Things.Big Data.Jun 2020.169-170.http://doi.org/10.1089/big.2020.29035.cfpPublished in Volume: 8 Issue 3: June 1, 2020Online Ahead of Print:April 30, 2020PDF download