Innovations in Computational Intelligence and Computer Vision

Proceedings of ICICV 2025, Volume 1
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Inhaltsangabe

Neuro-Symbolic AI and Quantum-Inspired Adaptive System for Real-Time Pain Management Using Federated Biofeedback-Driven AR/VR Therapy.- Enhanced Visual-NLP Systems Using Knowledge Graphs, Meta-Learning, and Adaptive Attention Networks.- Lightweight Architecture for Fruit Quality Estimation in the Infrared Domain.- Development of an automated edge-detection tool for robust cell biology assays.- Machine Learning-based Urban Nightime Light Intensity Analysis in Sri Lanka Using VIIRS Images.- AI Meets Agriculture: Cultivating a Sustainable Future.-Decision Support System for Neonatal Jaundice Detection Leveraging YOLO Object Detection Model.- Real-Time Posture Assessment for Yoga using Computer Vision.- Enhanced Brain Tumor Detection Using CNN-Based Image Classification: A Deep Learning Approach.- Brand Perception Improvement using Customer Feedback Analysis with NLP Techniques.- Utilizing Data Augmentation to Enhance Handwritten Kaithi Character Recognition.- Edge Vision Agents: Democratizing Computer Vision with LLMs.- AI-Driven Breast Cancer Detection: Advancements in Transfer Learning and Hybrid CNN Models.- APP-Net: An Attention Pyramid Pooling-Based Deep Learning Framework for Nail Disease Classification Using Normal Finger Photos.- ADMET Properties Prediction Using Advanced Graph Neural Networks.- Real- Time Motion Tracking and Exercise Pose Correction using Media Pipe.- Image Encryption using Elementary Cellular Automata Rule Vectors: A Secure Approach to Image Transmission for IoT Applications.- Crime Prediction and Forecasting in India using Hybrid Machine Learning and Deep Learning Techniques.- CycleGAN-Based Adversarial Learning for Enhanced Steganographic Image Detection.- Vocal2Instrument: Instrumental Sound Synthesis from Vocals using a Hybrid Digital Signal Processing-Convolutional Neural Network Architecture.- Next-Generation Glacier Monitoring: Leveraging Cloud Computing for Climate Insights.- Deep Fake News Detection: A Comparative Analysis.- Breast Carcinoma Diagnosis using Parametric Optimization with Soft Computing Techniques.- Towards Explainable Ethnicity Altered Synthetic Images.- An Efficient Image Encryption Method Using the Combination of Logistic Map and Fibonacci Q Matrix.- Advancing Early Detection of Suicidal Thoughts through Multi-Modal Analysis.- Performance Analysis of Cosine Shared Link Method on Small and Medium Sized Networks.- Critical Analysis of Synchronization Detection in Stereo Frame Processing.- Investigating Oversampling for Improved Text-Based Depression Detection.- Dynamic Density-Based Clustering for IoT Botnet Attack Detection Using DD-OPTICS.

Produktdetails
  • Erscheinungsdatum: 20.02.2026
  • Autor/Autorin: Satyabrata Roy
  • Reihe: Springer Nature Proceedings excluding Computer Science
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 62.8 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 787 Seiten
  • ISBN: 9783032098252
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  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
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Dr. Satyabrata Roy is an associate professor in the Department of Computer Science and Engineering, School of Computer Science & Engineering at Manipal University Jaipur, Rajasthan, India. He received his Ph.D. and M. Tech. (with honours) degrees in Computer Science and Engineering in 2020 and 2014, respectively, and B.Tech. in Computer Science and Engineering in 2009. His research interests include cryptography, Internet of things, cellular automata, computer networks, computational intelligence, machine learning, and formal languages. He is an enthusiastic and motivating technocrat with more than 12 years of research and academic experience at different reputed institutes. He has supervised many students for their M. Tech. dissertation work and currently supervising Ph.D. scholars at Manipal University Jaipur. He has published many research articles in top quality international journals, national/ international conferences of repute.  He is also working as a reviewer for several reputed International Journals. 
Dr. Neha Chaudhary is currently working as a professor in the Department of Computer Science & Engineering, School of Computer Science & Engineering, Manipal University Jaipur. She has received her Ph.D. from Gautam Buddha University, Greater Noida, in 2016, M.Tech. from GGSIP University, Delhi, in 2009 and B.E. from Rajasthan University in 2004. She has a rich and diversified experience of more than 18 years in industry and academics. She has been associated with Manipal University Jaipur since July 2017. Since 2019, she was associated with directorate of academics, and she had a vital role in the development of the Student and Faculty portal and University ERP. She started her career as a functional consultant for SAP in DCM Shriram Consolidated Ltd. and then joined Rajasthan Technical University for a brief period. She was associated with JSS Academy of Technical Education, Noida, for seven years.
Simon James Fong graduated from La Trobe University, Australia, with a 1st Class Honours BEng. Computer Systems degree and a Ph.D. Computer Science degree in 1993 and 1998, respectively. Simon is now working as an associate professor at the Computer and Information Science Department of the University of Macau. He is a co-founder of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology.  Prior to his academic career, Simon took up various managerial and technical posts, such as systems engineer, IT consultant, and e-commerce director in Australia and Asia. Dr. Fong has published over 432 international conference and peer-reviewed journal papers, mostly in the areas of data mining, data stream mining, big data analytics, meta-heuristics optimization algorithms, and their applications. 
Dr. Narendra D. Londhe is presently working as Professor in the Department of Electrical Engineering of National Institute of Technology Raipur, Chhattisgarh, India. He completed his B.E. from Amravati University in 2000 followed by M.Tech. and Ph.D. from Indian Institute of Technology Roorkee in the years 2006 and 2011, respectively. He has 16 years of rich experience in academics and research. He has published more than 170 articles in recognized journals, conferences, and books. His main areas of research include medical signal and image processing, biomedical instrumentation, speech signal processing, biometrics, intelligent healthcare, brain–computer interface, artificial intelligence, and pattern recognition. He has been awarded by organizations like Taiwan Society of Ultrasound in Medicine, Ultrasonics Society of India, IEEE IAS and NIT Raipur. He is an active member of different recognized societies from his areas of research including senior membership of IEEE.

 

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