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Smart Trends in Computing and Communications : Proceedings of SmartCom 2026, Volume 1 / edited by Tomonobu Senjyu, Mufti Mahmud, Amit Joshi.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Contributor:
Senjyu, Tomonobu., editor.
Mahmud, Mufti., editor.
Joshi, Amit., editor.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1960
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Telecommunication.
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Communications Engineering, Networks.
Signal, Speech and Image Processing.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Communications Engineering, Networks.
Signal, Speech and Image Processing.
Physical Description:
1 online resource (652 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
This book gathers high-quality papers presented at the Tenth International Conference on Smart Trends in Computing and Communications (SmartCom 2026), organized by Global Knowledge Research Foundation (GR Foundation) from 19 to 21 January 2026 in Pune, India. It covers state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
Contents:
Lecture Notes in Networks and Systems
Smart Trends in Computing and Communications
Preface SmartCom 2026
Contents
Study of Cloud Computing in HealthCare Industry
Artificial Intelligence: a Catalyst for Mitigating Climate Change and Advancing Environmental Sustainability
Intelligent Decompilation and Malware Analysis Using Machine Learning
Multilingual Subtitle Generator for Unscripted Videos Using Audio Visual Cues
A Hybrid Multi-layered AI Surveillance System for Real-Time Weapon and Behavioral Threat Detection
DQN Based Flow Prioritization in SDN
Multi-modal AI-Driven Medical Consultation System: Integrating Remote Photoplethysmography, Vision Language Models, and Large Language Models for Enhanced Preliminary Diagnosis
Skill Ladder-An Intelligent Career Development System Integrating Resume Analysis, Learning, and Job Management
Personalised Travel Assistance Using Rasa: A Conversational AI Chatbot for Tailored Recommendations
Comparative Analysis of Transformer-Based and Classical Machine Learning Approaches for GAI-Based Fake News Detection
Exploring Fintech's Role in Driving Sustainable Performance in the Banking Sector: The Moderating Role of IT Governance
Analysis of Spectrum Allocation in 5G and Its Impact on Network Performance
BoardEye: Intelligent SBC Component Detection System
A Combined Quantitative and Qualitative Survey on Melanoma Skin Cancer Detection Strategies
An AI-Enabled Governance Framework for Digital Oversight of SME IPO
A Hybrid Deep-Learning and Image-Processing Approach for Automated PCB Fault Detection
LLM-Driven AI Framework for Company Performance Prediction
FakeGuard: A Bio-Optimized Feature Fusion Model for Fake News Detection on a Novel Custom Dataset
AI Enabled Occupant Detection and Profile Based Service Provisioning for Smart Building System.
Integrating Artificial Intelligence for Ethical Decision-Making in Engineering: An Interdisciplinary Analysis of Ethical Parameters
AI-Driven Personal Finance Platform: An Intelligent System for Automated Budgeting, Transactions, and Decision Support
Exploring Factors Influencing CBDC Adoption: An Empirical Analysis
Energy Efficient Federated SVM Learning Framework for Edge Devices
Towards Reliable Brain-Tumor Diagnosis: Understanding Deep, Radiomic, and Hybrid Feature Behavior on Fused CT-MRI Data
Cross-Lingual Speech Emotion Recognition Using Self-Supervised Multilingual Models with a Marathi Emotional Speech Extension
Knowledge-Aware Self-correction in Language Models via Structured Memory Graphs
Integrating Deep Learning and Ensemble Techniques for Enhanced Waste Segregation in Smart Cities
A Comparative Study of EV and Non-EV Vehicle Purchase Behavior Among Pune Residents
Real-Time Mental Wellness AI Companion
A Systematic Review on Deep Learning Applications in House Price Prediction Using Diverse Data Sources
Deep Learning Techniques for Dermatological Disease Classification
A Systematic Review of Explainable Artificial Intelligence Techniques in Concrete Strength Prediction
RTO*: An End-to-End Timer Forecasting Algorithm for Improving Data Transmission Efficiency in Vehicular Networks
Explainable Contextual Bandits for Movie Recommendation: An Empirical Study on MovieLens
A Smart Ensemble Deep Learning Framework for Non-invasive Gene Mutation Profiling in Head and Neck Cancer Using Histopathological Images
Reference Design of dApp-Enabled Vulnerability Detection-as-a-Service in 6G O-RAN Networks
Fair Hiring in the Age of Multimodal AI: Bias Amplification, Mitigation Strategies, and Open Challenges
HyPySim: A Permissioned Blockchain Simulator with Execute-Order-Validate Pipeline.
A Modelling Framework for Cardiovascular Stress Detection Using BP-HR Coupling Dynamics
GeoCrypt: Location-Based Secure File Encryption and Access Control
Detection of Thyroid Disease Using Deep Learning: Systematic Review
Deep Learning Architectures for State of Charge and State of Health Estimation in Multi-cell Lithium-Ion Battery Systems
Predicting Telecom Service Subscriptions Churn Using Random Forest Algorithm
The Role of Artificial Intelligence in Modern Learning Management Systems
Author Index.
Notes:
Print version record.
Description based on publisher supplied metadata and other sources.
ISBN:
9783032254832
OCLC:
1611791934

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