Proceedings of International Conference on Advanced Communications and Machine Intelligence

Chapter 1 :DYNAMIC CURRENT REGULATION IN A BI-DIRECTIONAL INTERLEAVED EV CHARGING SYSTEM WITH DISTURBANCE ATTENUATION.- Chapter 2 :Generic and Simplified mechanism for mutual authentication of nodes in a wireless sensor network.- Chapter 3 :An Insight into Multi-label Learning.- Chapter 4 :An Approximation Edit Distance (AED) Algorithm for Recognition of Partially Occluded Faces.- Chapter 5 :Browser in the Middle Attack:  Attack Stimulation and Prevention Method.- Chapter 6 :Conformal Prediction Intervals in Machine Learning for Housing Prices and Birth Weight Predictions.- Chapter 7 :Comparative Study of Automotive ECU with AMBA, Wishbone, and IBM Bus Architectures.- Chapter 8 :MobileNet-Based Deep Learning for Accurate Potato Leaf Disease Detection.- Chapter 9 :Decoding confidence through machine learning on video features.- Chapter 10 :Optimizing TCP Performance and QOS in Mobile Wireless Communications through Prioritized Hard Handoff (PH2) .- Chapter 11 :Online Cheat Detection Using Multimodal Machine Learning Techniques.- Chapter 12 :Alzheimer’s Disease Progression for PET Data with Incomplete Clinical Scores using Deep Learning.- Chapter 13 :Improved Anisotropic Scaling Convergence in the Manifold Embedding Quality Assessment Method.- Chapter 14 :Analysing of MTC Data Traffic Over TCP in 5G Wireless Networks.- Chapter 15 :LightGCN-Based Contrastive Cross-Domain Sequential Recommender System.- Chapter 16 :AIoVTA: Vehicular Things for In-Cabin Air Quality Monitoring and Maintenance for the Wellness of the Occupants.- Chapter 17 :Active Learning using Divergence-Based Sampling in Ensemble Framework of Convolutional Neural Networks.- Chapter 18 :Diagnosis of Faults in Synchronous Generator Using Intelligent Technique .- Chapter 19 :Single-Phase Seven-Level Inverter for Enhanced Photovoltaic Energy Integration.- Chapter 20:Systematic Review & Performance Analysis of Classification algorithm for Detecting Fake News with Machine Learning.- Chapter 21:Adoption of Intelligent Decision Support System amongst Small and Medium Enterprises in Mauritius.- Chapter 22 :Adopting 3-2-1 rule for data protection at Universite des Mascareignes.- Chapter 23:EARLY DETECTION OF RED PALM WEEVIL  ON COCONUT TREES USING DEEP LEARNING.- Chapter 24:A Computer Vision Approach to Monitor and Prevent Deforestation within the Amazon Rainforest.- Chapter 25 :Optimizing Convolutional Neural Networks with Nature Inspired Algorithms for Diabetic Retinopathy Classification.- Chapter 26 :7 Salp Swarm Algorithm using Lens Opposition 1 based Learning and Local Search  Algorithm.- Chapter 27:Cyber Vigilance Nexus: Advancing Intrusion Detection Network Accuracy through Deep Learning Optimization.- Chapter 28:TPE-ASPEC: Secure Thumbnail-Preserving Cryptosystem for Cloud-Based Medical Data Using an Advanced SPE and Chaotic Maps.- Chapter 29 :Novel Hybrid Neural Network Architectures for Stress Detection .- Chapter 30:FogCog: Cognitive Computing Based Fog Architecture for Smart Health Care.- Chapter 31:AI-Driven Stress Detection: Exploring Deep Learning Techniques for Real-Time Analysis".- Chapter 32 :Next-Generation Firewalls and AI-Based Next-Generation Firewalls and AI-Based Detection Systems for DDoS Mitigation.

• Erscheinungsdatum: 27.10.2025
• Autor/Autorin: Ayan Mondal
• Reihe: Intelligent Technologies and Robotics
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 24.4 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 500 Seiten
• ISBN: 9789819655892
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
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