Chapter 1. A Hybrid Face Recognition Scheme in aHeterogenous and Cluttered Environment.- Chapter 2. Smart Critical Patient Care System with Doctor and by Stander Support with Wireless Sensor Network Using IoT and Intelligent Recommender Algorithm.- Chapter 3. IoT Enabled Toxic gas detection and alarming system using wireless sensor network with TAGDS smart algorithm.- Chapter 4. A Deep Neural Network Model for Effective Diagnosis of Melanoma Disorder.- Chapter 5. Sentiment Analysis and Evaluation of Movie Reviews using Classifiers.- Chapter 6. Risk Factors Analysis for Real Estate Price Prediction using Regression Approach.- Chapter 7. A Support Vector Machine Approach for Effective Bicycle Sharing in Urban Zones.- Chapter 8. Biosensor for Stress Detection using Machine Learning.- Chapter 9. An Accurate Automatic Traffic Signal Detector using CNN Model.- Chapter 10. Classification of Arrhythmia through Heart Rate Variability using Logistic Regression.- Chapter 11. U-INS: An Android Based Navigation System.- Chapter 12. LSTM based Cardiovascular Disease Detection using ECG Signal.- Chapter 13. Network Intrusion Detection Using Genetic Algorithm and Predictive Rule Mining.- Chapter 14. A Comparison of Different Methodologies for Predicting Forest Fires.- Chapter 15. Isolated Converters as LED Drivers.
Dr. Pradeep Kumar Mallick is currently working as Senior Associate Professor in the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Odisha, India. He has also served as Professor and Head of the Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad. He has completed his Postdoctoral Fellow (PDF) from Kongju National University South Korea, Ph.D. from Siksha Ó' Anusandhan University, M.Tech. (CSE) from Biju Patnaik University of Technology (BPUT), and MCA from Fakir Mohan University Balasore, India. Besides academics, he is also involved in various administrative activities, a member of Board of Studies to C. V. Raman Global University Bhubaneswar, a member of Doctoral Research Evaluation Committee, Admission Committee, etc. His area of research includes algorithm design and analysis, and data mining, image processing, soft computing, and machine learning. Now, heis an editorial member of Korean Convergence Society for SMB. He has published 13 edited books, 1 textbook, and more than 100 research papers in national and international journals and conference proceedings to his credit. He is currently editing several books with Springer Nature, Elsevier and Routledge & CRC Press. He is also serving as Guest editor for special issues of the journal like Springer Nature, Elsevier and Inderscience
Dr. Akash Kumar Bhoi has completed his B.Tech. (Biomedical Engineering) from Trident Academy of Technology, BPUT University, Odisha, and M.Tech. (Biomedical Instrumentation) from Karunya University, Coimbatore in the year 2009 and 2011, respectively. He received his Ph.D. from Sikkim Manipal University, India, in 2019. He is working as Assistant Professor (Research) in the Department of Electrical and Electronics Engineering at Sikkim Manipal Institute of Technology (SMIT), India, since 2012. He is a University Ph.D.Course Coordinator for "Research & Publication Ethics (RPE)." He is a member of IEEE, ISEIS, and IAENG, an associate member of IEI, UACEE, and an editorial board member reviewer of Indian and international journals. He is also a regular reviewer of repute journals, namely IEEE, Springer, Elsevier, Taylor and Francis, Inderscience, etc. His research areas are Biomedical Technologies, the Internet of Things, Computational Intelligence, Antenna, Renewable Energy. He has published several papers in national and international journals and conferences. He has 90+ documents registered in the Scopus database by the year 2020. He has also served on numerous organizing panels for international conferences and workshops. He is currently editing several books with Springer Nature, Elsevier and Routledge & CRC Press. He is also serving as Guest editor for special issues of the journal like Springer Nature and Inderscience.
Gonçalo Marques holds a PhD in Computer Science Engineering and is member of the Portuguese Engineering Association (Ordem dos Engenheiros). He is currently working as Assistant Professor lecturing courses on multimedia and database systems. Furthermore, he worked as a Software Engineer in the Innovation and Development unit of Groupe PSA automotive industry from 2016 to 2017 and in the IBM group from 2018 to 2019. His current research interests include Internet of Things, Enhanced Living Environments, machine learning, e-health, telemedicine, medical and healthcare systems, indoor air quality monitoring and assessment, and wireless sensor networks. He has more than 60 publications in international journals and conferences, is a frequent reviewer of journals and international conferences and is also involved in several edited book projects.
Victor Hugo C. de Albuquerque [M'17, SM'19] is a collaborator Professor and senior researcher at the Graduate Program on Teleinformatics Engineering at the Federal University of Ceará, Brazil, and at the Graduate Program on Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza/CE, Brazil. He has a Ph.D. in Mechanical Engineering from the Federal University of Paraíba (UFPB, 2010), an M.Sc. in Teleinformatics Engineering from the Federal University of Ceará (UFC, 2007), and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Ceará (CEFETCE, 2006). He is a specialist, mainly, in Image Data Science, IoT, Machine/Deep Learning, Pattern Recognition, Robotic.
