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This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2021), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 26–27, 2021. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human–machine interaction, big data mining, data science and mining, applications of intelligent systems in health…mehr
This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2021), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 26–27, 2021. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human–machine interaction, big data mining, data science and mining, applications of intelligent systems in health ,care, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics, and blockchain technology.
Valentina E. Balas is currently Full Professor at “Aurel Vlaicu” University of Arad, Romania. She is author of more than 300 research papers. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing. She is Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to IJCSE. Dr. Balas is member of EUSFLAT, ACM and a SM IEEE, member in TC – EC and TC-FS (IEEE CIS), TC – SC (IEEE SMCS), Joint Secretary FIM.
Vijay Bhaskar Semwal is working as Assistant professor (CSE) at NIT Bhopal since 5 February 2019. Before joining NIT Bhopal he was working at NIT Rourkela. He has also worked with IIIT Dharwad as Assistant Professor(CSE) for 2 year (2016-2018) and he has also worked as Assistant professor (CSE) at NIT Jamshedpur . He has earned his doctorate degree in robotics from IIIT Allahabad (2017) , M.Tech. in Information Technology from IIIT Allahabad (2010) and B.Tech. (IT) from College of Engineering Roorkee (2008). His areas ofresearch are Bipedal Robotics, Gait Analysis and synthesis, Artificial Intelligence, Machine Learning and Theoretical Computer Science.He has published more then 15 SCI research papers. He has received early career research award by DST-SERB under government of India.
Dr. Anand Khandare, Dy. HOD, Computer Engineering, Thakur college of engineering and Technology, Mumbai with 15 years of teaching experience. He completed Ph.D. in Computer Science and Engineering in the domain Data Clustering in Machine Learning from Sant Gadge Baba Amravati University. He has total 50+ publications in national, international conferences and journals. He has 1 copyright and 2 patents. He guided various research and funded projects. He is worked as volume editor in springer conference on Intelligent Computing and Networking 2020. He is also reviewer in various journal and conferences.
Inhaltsangabe
Performance Evaluation of an IoT Edge-based Computer Vision Scheme for Agglomerations Detection Covid-19 Scenarios.- Comparative Analysis of Classification and Detection of Breast Cancer from Histopathology Images using Deep Neural Network.- Determining Key Performance Indicators for a Doctoral School.
Performance Evaluation of an IoT Edge-based Computer Vision Scheme for Agglomerations Detection Covid-19 Scenarios.- Comparative Analysis of Classification and Detection of Breast Cancer from Histopathology Images using Deep Neural Network.- Determining Key Performance Indicators for a Doctoral School.
Performance Evaluation of an IoT Edge-based Computer Vision Scheme for Agglomerations Detection Covid-19 Scenarios.- Comparative Analysis of Classification and Detection of Breast Cancer from Histopathology Images using Deep Neural Network.- Determining Key Performance Indicators for a Doctoral School.
Performance Evaluation of an IoT Edge-based Computer Vision Scheme for Agglomerations Detection Covid-19 Scenarios.- Comparative Analysis of Classification and Detection of Breast Cancer from Histopathology Images using Deep Neural Network.- Determining Key Performance Indicators for a Doctoral School.
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