1. Design of Eye Template Matching Method for Head Gesture Recognition System.- 2. Real time Meta learning approach for Mobile Healthcare.- 3.Firearm Detection from Surveillance Cameras Using Image Processing and Machine Learning Techniques.- 4. Segmentation of Optic Disc by Localized Active Contour model in Retinal Fundus Image.- 5. A Novel Genetic Algorithm Based Scheduling for Multi-core Systems.- 6.Various Pre-Processing Methods for Neural Network based Heart Disease Prediction.- 7. Intelligent Passenger Information System using IoT for Smart Cities.- 8. Continuous Monitoring and Detection of Epileptic Seizures using Wearable Device.- 9.Brain Tumor Detection Using Cuckoo Search Algorithm and Histogram Thresholding for MR Images.- 10.eMDPM: Efficient Multi-dimensional pattern Matching algorithm for GPU.- 11. Computer vision-based fruit disease Detection and classification.
About the Author: Shailesh Tiwari is currently a Professor at the Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in software engineering. He has published more than 50 articles in international journals and in the proceedings of leading international conferences, and he edits various Scopus, SCI and E-SCI-indexed journals. He has organized several international conferences under the banner of the IEEE and Springer. He is a senior member of the IEEE and a member of the IEEE Computer Society.
Munesh Chandra Trivedi is currently a Professor at the Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, India. He has published 20 textbooks and 80 research articles in international journals and in the proceedings of leading international conferences. He has received young scientist and numerous other awards from various national and international forums. He has organized several international conferences sponsored by the IEEE, ACM and Springer, and is on the review panel of the IEEE Computer Society, International Journal of Network Security, Pattern Recognition Letter and Computer & Education (Elsevier Journal). He is a member of the executive committee of the IEEE UP Section, IEEE India Council and also the IEEE Asia Pacific Region 10.
Krishn Kumar Mishra is currently a Visiting Faculty, Department of Mathematics and Computer Science, University of Missouri, St. Louis, USA. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India, which is also his base work institute. His primary areas of research include evolutionary algorithms, optimization techniques and design, and analysis of algorithms. He has published more than 50 articles in international journals and in the proceedings of leading international conferences. He is a program committee member for several conferences and also edits Scopus and SCI-indexed journals.
Prof. A. K. Misra is a former Professor at the Computer Science and Engineering Department, Motilal Nehru National Institute of Technology in Allahabad, India. Presently, he is associated with SPMIT, Allahabad, India as an advisor. He has more than 45 years' experience in teaching, research and administration with a specialization in Software Engineering and Nature Inspired Algorithms. As a coordinator, co-investigator and chief investigator he has secured grants for and successfully completed several research projects, including the Indo-UK REC Project, Development of a Framework for Knowledge Acquisition and Machine Learning, a Semantic Web Portal for Tribal Medicine, and many more. He has published more than 90 research articles in international journals and in the proceedings of prominent international conferences. He is fellow of the Institution of Engineers (FIE) and a member of the ISTE, IEEE and CSI. He has organized several national and international conferences under the auspices of the ACM and IEEE in the capacity of General Chair.
Kavi Kumar Khedo is the Head of Digital Technologies at the University of Mauritius. He has published more than 50 research papers on mobile computing, ubiquitous computing, health informatics, and wireless sensor networks in renowned journals and has presented his research at several international conferences. He has also served on numerous editorial boards of distinguished international journals, such as IEEE Sensors, WILEY International Journal on Communication Systems, and the International Journal of Sensor Networks. He is committed to cutting-edge applied research that has real societal, environmental, and economic impacts. Much of his work has focused on how ICT can be used to improve the quality of life, care, and safety of the Mauritian people.
