Machine Learning and Internet of Things for Societal Issues

Machine and Deep learning techniques for Image Classification.- IoT based Techniques for  smart Agriculture.- Machine and Deep learning techniques for Satellite Image Analysis.- Machine and Deep learning techniques for Automatic Speech Recognition.- Machine and Deep learning techniques for Object Detection.- Machine and Deep learning techniques for Object Segmentation.- Machine and Deep learning techniques for Automatic Image Caption Generation.- Machine and Deep learning techniques for Automatically Adding Sounds to Silent Movies.- Machine and Deep learning techniques for News Aggregation and Fraud News Detection.- Machine and Deep learning techniques for Natural Language Processing.- Machine and Deep learning techniques for Smart Sign Language Recognition System for Dumb and Deaf People.- Machine and Deep learning techniques for Smart Text Reader System for Blind Person.- Machine and Deep learning techniques for Automatic Language Translation System.- Machine and Deep learning techniques for Automatic Handwriting Generation System.- Machine and Deep learning techniques for Biomedical Image Processing Applications.- Machine and Deep learning techniques for Healthcare Monitoring System.- Machine and Deep learning techniques for Impact of IoT in Biomedical Applications.- Emerging Pedagogies of Machine Learning and Deep Learning in Smart Agriculture.- Machine and Deep learning techniques in Finance.- Machine and Deep Learning Techniques in System Biology.- IoT Based Road Safety Applications.

Dr. Ch. Satyanarayana is currently working as Professor in the Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Kakinada, AP, INDIA. He received his Ph.D. in 2007 from JNTU. He has 20+ years of teaching and research experience and 10 years of administrative experience in various capacities like Controller of Examinations, Head of the Department, and Director Academic and Planning. He has supervised 25 Ph.D. students and 200+ Master's Students. He is Senior Member of IEEE. His research interests include image processing, speech recognition, pattern recognition, network security and big data analytics, and computational intelligence.

Dr. Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his D.Sc. (Tech.) degree from the Helsinki University of Technology (now Aalto University), Finland in 1999. In January 2004, he was appointed as Docent (Adjunct Professor) at the same university. He is now working as Professor of data science at the University of Eastern Finland, Finland. He is also Guest Professor at the Harbin Institute of Technology, Beijing Normal University, and Shanghai Maritime University, China. Prof. Gao has published more than 400 technical papers on refereed journals and international conferences, and his current Google Scholar H-index is 32. His research interests are nature-inspired computing methods (e.g., neural networks, fuzzy logic, evolutionary computing, swarm intelligence, and artificial immune systems) with their applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics.

Dr. Choo-Yee Ting is currently working as Associate Professor at the Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia. He is also Deputy Dean of the Institute for Postgraduate Studies, Multimedia University. In year 2002, Choo-Yee Ting was