Advances in Smart Computing and Applications, Kartoniert / Broschiert
Advances in Smart Computing and Applications
- First International Conference, ICASCA 2025, Ahmedabad, India, February 15-16, 2025, Proceedings
- Herausgeber:
- Rajkumar Buyya, Savita Gandhi, Nirbhay Chaubey, Harshal Arolkar, Prerna Agrawal
- Verlag:
- Springer, 08/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783032003492
- Artikelnummer:
- 12330976
- Umfang:
- 376 Seiten
- Gewicht:
- 569 g
- Maße:
- 235 x 155 mm
- Stärke:
- 21 mm
- Erscheinungstermin:
- 15.8.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
- AI Enabled Human Action Recognition.
.- Enhanced Date Fruit Classification with a Novel One-Dimensional Convolutional Neural Network.
.- Accuracy Improvement of Fish Counting in Sonar Images using Deep Learning with Double Transfer Learning.
.- Predicting Agricultural Crop Yield in Indian States Using Machine Learning Models.
.- Comparative Analysis of Machine Learning Models on Binary Classification Using Tabular Datasets: A Study on Credit Risk, Australian, and German Datasets.
.- Hybrid Multi-Objective Optimization for Efficient Workflow Scheduling in Cloud Computing Environments: A PSO-GD Integrated Approach.
.- Exploring Novel Perspective on Collaborative AI: Techniques, Challenges, and Limitation.
.- Enhanced Malicious URL Detection through Feature Significance Analysis.
.- A Smart Intelligence Intrusion Detection System Using Optimal Elephant Hardening Feature Selection with Deep Generative Adversarial Neural Network Classifier.
.- Breast Cancer Diagnostics with Deep Learning Schemes Using Multi-Image Modalities.
.- Ethical Implications of Using AI to Monitor and Regulate Dark Web Activities.
.- Analyzing AI Generated Text using various Machine Learning, Deep Learning and LLM Models.
.- Predictive Modeling and Strategic Planning for Urban Flood Risk Mitigation.
.- A Review on Deep Learning Techniques for Cervical Cancer Detection.
.- Enhanced COVID-19 Detection Using CNN and Texture-Based Feature Extraction With Gradient Boosting Ensemble learner.
.- AI for Intelligent Data Retrieval.
.- Automated Skin Lesion Detection Using Deep Learning Approach.
.- A Review on Student Behavior Detection.
.- Vcare: A Survey on Menstrual Health Awareness and Accessibility.
.- Sentiment and Comment Analysis Using Various Machine Learning Algorithms and Evaluation of Classifiers on Educational YouTube Videos.
.- Identifying fake products using Blockchain.
.- Tourism Trends Through Yelp Review Analysis.
.- Revolutionizing eLearning with Metaverse Technologies: Virtual Classrooms and Beyond.
.- Integrating Artificial Intelligence and IoT for Early Detection and Management of Fungal Diseases in Oilseed Crops.
Biografie (Rajkumar Buyya)
Rajkumar Buyya is Co-Chair of the IEEE Task Force on Cluster Computing and an international speaker in the IEEE Computer Society Chapter Tutorials Program. Currently at Monash University, Melbourne, Australia, he is conducting R&D on the use of an economics paradigm for peer-to-peer and grid-based service-oriented computing. He has co-authored Microprocessor x86 Programming and Mastering C++, and edited a popular two-volume book on high performance cluster computing. He has published over 50 research articles in major international journals and conferences.
