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Data Science and Applications (eBook)

Proceedings of ICDSA 2025, Volume 3
Artikelnummer: 978-3-032-10783-1
Einband: PDF
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Optimizing Algorithmic Trading Through DRL: A Comparative Analysis of Single-Agent and Multi-Agent Models.- Crop Classification in Diverse Agricultural Landscapes: Integrating Harmonized Landsat Sentinel-2 Imagery with Machine Learning Models.- Vision Transformers Meet fMRI: Lightweight ADHD Diagnosis with Pretrained Models.- Analysis of Machine Learning-Based Music Recommendation System.- An Adaptive Privacy-Preserving Federated Learning for Real-World Healthcare Deployment.- Exploring Emerging Trends and Key Challenges in Bioinformatics, Genomics, and Computational Biology Data Integration Approaches for Advancing Personalized Medicine and Genomic Research.- Comparative Study of Zero-Shot and Supervised Learning for Tamil Tweet Sentiment Analysis.- Recognizing Bangla Numerals: A Deep Learning Approach on a Novel Handwritten Dataset.- Adaptive BioHashing via Reinforcement Learning: A Dynamic Template Protection Framework for Multimodal Biometrics.- Mango Ripeness Evaluation: A Hierarchical Deep Learning Approach.- Blockchain Based Architecture for Secure and Reliable Agriculture Chain Traceability.- ELA-BLIP 2.0: Bridging Visual Forensics and Sentence Generation with ViT-based Forgery Detection. A Survey of Data-Driven Aapproaches for Customer Sentiment Analysis in Product Strategy Enhancement.- AI-Driven Cybersecurity Threats: A Survey of Emerging Risks and Defensive Strategies.- Privacy-Preserving Business Registration via CIM and Secure Anonymized Auditing.

Optimizing Algorithmic Trading Through DRL: A Comparative Analysis of Single-Agent and Multi-Agent Models.- Crop Classification in Diverse Agricultural Landscapes: Integrating Harmonized Landsat Sentinel-2 Imagery with Machine Learning Models.- Vision Transformers Meet fMRI: Lightweight ADHD Diagnosis with Pretrained Models.- Analysis of Machine Learning-Based Music Recommendation System.- An Adaptive Privacy-Preserving Federated Learning for Real-World Healthcare Deployment.- Exploring Emerging Trends and Key Challenges in Bioinformatics, Genomics, and Computational Biology Data Integration Approaches for Advancing Personalized Medicine and Genomic Research.- Comparative Study of Zero-Shot and Supervised Learning for Tamil Tweet Sentiment Analysis.- Recognizing Bangla Numerals: A Deep Learning Approach on a Novel Handwritten Dataset.- Adaptive BioHashing via Reinforcement Learning: A Dynamic Template Protection Framework for Multimodal Biometrics.- Mango Ripeness Evaluation: A Hierarchical Deep Learning Approach.- Blockchain Based Architecture for Secure and Reliable Agriculture Chain Traceability.- ELA-BLIP 2.0: Bridging Visual Forensics and Sentence Generation with ViT-based Forgery Detection. A Survey of Data-Driven Aapproaches for Customer Sentiment Analysis in Product Strategy Enhancement.- AI-Driven Cybersecurity Threats: A Survey of Emerging Risks and Defensive Strategies.- Privacy-Preserving Business Registration via CIM and Secure Anonymized Auditing.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2026
Seitenangabe480 S.
AusgabekennzeichenEnglisch
AbbildungenXVI, 480 p. 182 illus., 158 illus. in color.
Masse56'027 KB
PlattformPDF
ReiheLecture Notes in Networks and Systems; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics ; Springer Nature Proceedings excluding Computer Science
AutorNanda, Satyasai Jagannath (Hrsg.) / Yadav, Rajendra Prasad (Hrsg.) / Prasad, Mukesh (Hrsg.) / Saraswat, Mukesh (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Networks and Systems; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0); Springer Nature Proceedings excluding Computer Science"

Über den Autor Satyasai Jagannath (Hrsg.) Nanda

Dr. Satyasai Jagannath Nanda is an associate professor in the Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, since December 2023. He joined as an assistant professor at MNIT Jaipur in June 2013. He received the Ph.D. degree from School of Electrical Sciences, IIT Bhubaneswar, in 2013 and M.Tech. degree from Department of Electronics and Communication Engineering, NIT Rourkela, in 2009. He received the B.E. degree in Electronics and Telecommunication Engineering from Institute of Technical Education and Research (ITER), Bhubaneswar, in 2006. He was the recipient of Canadian Research Fellowship-GSEP, from Department of Foreign Affairs and International Trade (DFAIT), Government of Canada, for 2009-10. He was awarded best Ph.D. thesis award at SocProS 2015 by IIT Roorkee. Prof. Rajendra Prasad Yadav is currently working as a professor-HAG in the Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India. He has more than four decades of teaching and research experience. He was instrumental in starting new B.Tech., M.Tech. courses and formulating Ph.D. Ordinances for starting research work in Rajasthan Technical University (RTU) Kota and other affiliated engineering colleges as a vice chancellor of the University. He has served as HOD of Electronics and Comm. Engg., President Sports and Library, hostel warden, dean of Student Affairs at MNIT Jaipur. He was also the chief vigilance officer of MNIT Jaipur. Prof. Yadav received the Ph.D. degree from MREC Jaipur and M.Tech. degree from IIT Delhi. Dr. Mukesh Prasad is a senior lecturer at School of Computer Science in the Faculty of Engineering and IT at UTS who has made substantial contributions to the fields of machine learning, artificial intelligence, and the Internet of Things. Mukesh's research interests include also big data, computer vision, brain computer interface, and evolutionary computation. He is working also in the evolving and increasingly important field of image processing, data analytics and edge computing, which promise to pave the way for the evolution of new applications and services in healthcare, biomedical, agriculture, smart cities, education, marketing, and finance. His research has appeared in numerous prestigious journals, including IEEE/ACM Transactions and conferences; he has written more than 100 research papers. Mukesh Saraswat is a professor and associate dean (Innovation) at Jaypee Institute of Information Technology (JIIT), Noida, India. Prof. Saraswat obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 20 years of teaching and research experience. He has guided 04 Ph.D. students and presently guiding 04 Ph.D. students. He has published more than 80 journal and conference papers in image processing, pattern recognition, and soft computing. He was part of a successfully completed project funded by SERB, New Delhi, on image analysis. He has been an active member of many organizing committees for various conferences and workshops. He is also a faculty in charge of Jaypee Youth Club at JIIT, Noida. He is also a guest editor of the Array, Journal of Swarm Intelligence, SN Computer Science, and Journal of Intelligent Engineering Informatics. He is one of the general chairs of the International Conference on Data Science and Applications. He is also an advisory board member of the Journal MethodsX. He is also a series editor of the SCRS Book Series on Computing and Intelligent Systems (CIS). He is an active member of ACM, CSI, and SCRS Professional Bodies.

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