Proceedings of Sixth Doctoral Symposium on Computational Intelligence
Dosci 2025, Volume 2
Herausgegeben:Swaroop, Abhishek; Kansal, Vineet; Hassanien, Aboul Ella
Proceedings of Sixth Doctoral Symposium on Computational Intelligence
Dosci 2025, Volume 2
Herausgegeben:Swaroop, Abhishek; Kansal, Vineet; Hassanien, Aboul Ella
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This book features high-quality research papers presented at Sixth Doctoral Symposium on Computational Intelligence (DoSCI 2025), jointly organized by Institute of Engineering & Technology, Lucknow, India, and School of Open Learning, University of Delhi in association with University of Calabria, Italy, during March 28 - 29, 2025. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid…mehr
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This book features high-quality research papers presented at Sixth Doctoral Symposium on Computational Intelligence (DoSCI 2025), jointly organized by Institute of Engineering & Technology, Lucknow, India, and School of Open Learning, University of Delhi in association with University of Calabria, Italy, during March 28 - 29, 2025. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, and decision support and decision making.
Produktdetails
- Produktdetails
- Lecture Notes in Networks and Systems 1496
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-96-8106-8
- Seitenzahl: 704
- Erscheinungstermin: 12. November 2025
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9789819681068
- ISBN-10: 9819681065
- Artikelnr.: 74154859
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Lecture Notes in Networks and Systems 1496
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-96-8106-8
- Seitenzahl: 704
- Erscheinungstermin: 12. November 2025
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9789819681068
- ISBN-10: 9819681065
- Artikelnr.: 74154859
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Prof. Abhishek Swaroop has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University Greater Noida and Galgotias University Greater Noida. He has served at various administrative positions such as Head of the Department, Division Chair, NBA coordinator for the university, Head Training & Placements. Currently, he is serving as professor & HoD department of Information Technology in Bhagwan Parshuram Institute of Technology, Rohini, Delhi. He is actively engaged in research. He has more than 50 quality publications out of which 6 are SCI and 16 scopus. One of his Ph.D. Scholar has completed his Ph.D. from NIT Kurukshetra and he is currently supervising one Ph.D. student from IIT Dhanbad, 2 Ph.D students from Uttrakhand Technical University, Dehradoon and 1 studentd from APJ Abdul Kalam Technical University, Lucknow.. He has guided 10 M.Tech. dissertations and numerous B.Tech. projects. He has authored 3 books and 5 book chapters. He had been part of the organizing committee of three IEEE conferences (ICCCA-2015, ICCCA-2016, ICCCA-2017), one Springer conference (ICICC2018) as technical program chair. He was the convener of recently organized national conference NCCIN-2K18. He is member of various professional societies like CSI and ACM and editorial board of various reputed journals. Prof. Vineet Kansal has graduated in Computer Engineering from the GB Pant University of Agriculture and Technology, Pantnagar and earned his MTech and PhD from IIT Delhi. He has been in academics for more than 28 years. Currently, he is a Professor in the Computer Science and Engineering Department, Institute of Engineering Technology, Lucknow, and Pro Vice-Chancellor of Dr. APJ Abdul Kalam Technical University, Lucknow Uttar Pradesh. He has been the Dean (UGSE) at the Dr. APJ Abdul Kalam Technical University, Lucknow. His area of research interest includes Data Analytics, Machine Learning, Artificial Intelligence, Networking, Cloud Computing, Big Data Analytics and Optimization. Prof. Aboul Ella Hassanein is the Founder and Head of the Egyptian Scientific Research Group (SRGE) and a Professor of Information Technology at the Faculty of Computer and Artificial Intelligence, Cairo University. Professor Hassanien is an ex-dean of the faculty of computers and information, Beni Suef University. Professor Hassanien has more than 800 scientific research papers published in prestigious international journals and over 40 books covering such diverse topics as data mining, medical images, intelligent systems, social networks, and smart environment. Prof. Hassanien won several awards, including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award in humanities from the University of Kuwait for the 2004 Award and received the scientific - University Award (Cairo University, 2013). Also, He was honored in Egypt as the best researcher at Cairo University in 2013. He was also received the Islamic Educational, Scientific and Cultural Organization (ISESCO) prize on Technology (2014) and received the State Award for excellence in engineering sciences 2015. He was awarded the medal of Sciences and Arts of the first class by the President of the Arab Republic of Egypt, 2017.
Chapter 1: The Spectrum of Data Aggregated by IoT Devices in Smart Cities.- Chapter 2: Research on Stability Regulation and Short-Term Prediction of New Energy Power Generation Based on ICEEMD-VMD Decomposition and Dynamic Threshold Optimization with Bi-LSTM.- Chapter3 : Prevention of Paper Leakage using Threshold Scheme.- Chapter 4: Leveraging Energy Constrained Smart Networks for Soil Data Insights and Harvest Optimization.- Chapter 5: Computational Modeling of Tourist Responsible Behavior: Mediating Effects of Service Quality,Satisfaction, and Place Attachment in Rural Tourism.- Chapter 6: Enhancing SME Performance through Cloud Computing Adoption: A Study on Technological and Environmental Capabilities in the Tourism Sector.- Chapter 7: Multipath Routing with Trust Analysis using TDMA Scheduling in MANETs.- Chapter 8: A Heuristic Approach for optimizing Scalability in Blockchain-Based Healthcare Application: A Review.- Chapter 9: Review on Ethnicity Classification using Images.- Chapter 10: Predictive Modeling of Lung Cancer using Advanced Machine Learning Techniques: A Holistic Approach.-
Chapter 1: The Spectrum of Data Aggregated by IoT Devices in Smart Cities.- Chapter 2: Research on Stability Regulation and Short-Term Prediction of New Energy Power Generation Based on ICEEMD-VMD Decomposition and Dynamic Threshold Optimization with Bi-LSTM.- Chapter3 : Prevention of Paper Leakage using Threshold Scheme.- Chapter 4: Leveraging Energy Constrained Smart Networks for Soil Data Insights and Harvest Optimization.- Chapter 5: Computational Modeling of Tourist Responsible Behavior: Mediating Effects of Service Quality,Satisfaction, and Place Attachment in Rural Tourism.- Chapter 6: Enhancing SME Performance through Cloud Computing Adoption: A Study on Technological and Environmental Capabilities in the Tourism Sector.- Chapter 7: Multipath Routing with Trust Analysis using TDMA Scheduling in MANETs.- Chapter 8: A Heuristic Approach for optimizing Scalability in Blockchain-Based Healthcare Application: A Review.- Chapter 9: Review on Ethnicity Classification using Images.- Chapter 10: Predictive Modeling of Lung Cancer using Advanced Machine Learning Techniques: A Holistic Approach.-