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      Advanced Computational and Communication Paradigms

      Proceedings of ICACCP 2025, Volume 2

      AvLaia Subirats,Sandeep Gurung

      Häftad, Engelska, 2026

      Del 1760 i serien Lecture Notes in Networks and Systems

      2 719 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      This book presents high-quality, peer-reviewed papers from 5th International Conference on Advanced Computational and Communication Paradigms (ICACCP 2025), organized by Department of Computer Science and Engineering (CSE), Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University, Sikkim, India, during 6–8 June 2025. The book covers advanced computational paradigms and communications techniques which provide failsafe and robust solutions to the emerging problems faced by mankind. Technologists, scientists, industry professionals, and research scholars from regional, national, and international levels were invited to present their original unpublished work at this conference.

      Produktinformation

      • Utgivningsdatum:2026-02-22
      • Mått:155 x 235 x 30 mm
      • Vikt:814 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Lecture Notes in Networks and Systems
      • Antal sidor:525
      • Förlag:Springer Nature Switzerland AG
      • ISBN:9783032135438

      Utforska kategorier

      • Elektronik och kommunikationer inom Naturvetenskap och teknik
      • Artificiell intelligens inom Data och IT
      • Systemvetenskap och AI inom Data och IT

      Mer om författaren

      Dr. Laia Subirats is an Associate Professor at Universitat Oberta de Catalunya (Open University of Catalonia). Dr. Laia’s interests focus on artificial intelligence applied to neurological disabilities. Her research aims to establish a diagnosis of the quality of life and also perform social network analysis. Her interests also include artificial intelligence applications of citizen science, where she contributed to neurological diseases and seawater quality. Finally, she has also applied artificial intelligence to the world of education, focusing on the impact that COVID-19 has had on higher education, intelligent tutors, and multimodal streaming data analysis. Overall, she has published more than 30 articles in journals and conferences such as Engineering Applications of Artificial Intelligence, PLoS ONE, International Journal of Neural Systems, NPJ Digital Medicine, Journal of Biomedical Informatics, ACM Web Science Conference, IEEE Frontiers in Education Conference and IEEE Symposium on Computer-Based Medical Systems.

      Innehållsförteckning

      • Multi-layer Torque Distribution Strategy for Dual Traction Electric Vehicle.- Development of IoT based Energy Management System to Maximize EnergySavings.-Fine Tuning GPT – 4o for Interior Design CHATBOT.- Joint Sum Rate and Fairness Optimization in NOMA Networks Under MinimumPower Gap Constraint.- Cloudburst Detection from Satellite Images using Haralick Features and Random Forest Classifier.- A concept of on-demand Continuous Integration and Continuous Delivery framework.- PROTECT: Proactive Recognition of Offensive Texts, Images, Videos, and Memes Through AI.- A Novel Signal Detection Technique for Uplink Massive MIMO System.- Efficient Resource Allocation in IoT: A Matching-Theory-Based Approach to Channel Assignment.- Enhancing Fiat-Shamir with Automorphisms: A Polynomial Commitment Scheme.- GDP and Unemployment Prediction using Software Transactional Memory.- Integrating Temporal and Spatial Features for Parkinson’s Disease Diagnosis from Handwriting Images.- A novel RGB feature based coral bleaching detection using SLIC SuperpixelSegmentation.- Sixth Generation (6G) Wireless Communications: A perspective View.- IoT-based Assistive Device for Bridging Communication between Differently Abled and Abled Individuals.- AI Based Aerial Image Classification.- A Deep Learnning Approach for Heart Disease Prediction.- Communication Protocols in IoT: A Comparative Review of Standards and Applications.- Optimized Technique for Intrusion Detection Systems using Machine LearningModels with Metaheuristic Algorithms.- Enhancing Melanoma Diagnosis in the USA with AI-Powered Innovations.- SA-MLP: Accurate and Interpretable Breast Cancer Detection with Feature Selection and Explainable AI.- Taylor Series Optimization in Encryption and Decryption using ParallelComputing in Cryptography.- Deep Learning for Handwritten Digit Recognition: A Convolutional Neural Network Approach.- Design and Performance Evaluation of a Li-Fi System for Indoor Wireless Communication.- Deep Learning Based AI-Generated Image Detection.- HealthGuard: A Blockchain- Powered Structure for Safe Electronic Health Record Administration.- Prediction of Indian Tropical Cyclones using Machine Learning techniques.- Design and Implementation of CodeSourcerer: A Proxy- Based Test Generation System for GitHub CI/CD Pipelines.- ViT-GA-AVSS: Optimizing Vision Transformer-Based Audio-Visual Speech Synthesis Approach Using Genetic Algorithm.- A Requirement of Decentralized Labor Management System (DLMS).- Cooperative Game Theory based resource allocation in text based semantic communication.- A Blockchain-Based Framework for Secure Pharmaceutical Supply Chain and Prescription Management.- Attention-Based Caption Generation for Optical Remote Sensing Images Using Deep Learning Techniques.- Evaluating Seasonal Changes in Vegetation and LST Using NDVI in Sillod, Maharashtra.- Review of Digital Signature Schemes for Ensuring Non-Repudiation in Blockchain Systems.- LoRaWAN and STM32 based Lighting System for Smart Campus.- Application for Object and Currency Detection with Enhanced Accessibility for Visually Impaired Individuals.- Automated Detection and Classification of Multi-species Malaria Parasites using YOLOv11.- Multi-Feature Collaborative Traffic Management: An AI and IoT-Integrated Approach.- Anatomically Plausible Generative Data Augmentation for Liver Tumor Segmentation.- Iron Oxide-Tungsten Trioxide (Fe3O4-WO3) Nanocomposite Image Analysis using Digital Image Processing Techniques.- Cloud Computing Adoption in SMEs: A Systematic Review of Adoption Models and Future Research Agenda.- A Comparative Study of Standard Datasets in Intrusion Detection System using various Artificial Neural Networks Techniques.
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