Buch, Englisch, 404 Seiten, Format (B × H): 155 mm x 235 mm
Proceedings of 5th UNI-TEAS 2026, Volume 1
Buch, Englisch, 404 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-36148-6
Verlag: Springer
This book presents high-quality, peer-reviewed papers from 5th International Conference on “Universal Threats in Expert Applications and Solutions" (UNI-TEAS 2026), jointly being organized by Apex University, Jaipur, Shree KKarni Universe College, Jaipur and PIET, Panipat, Haryana, India during February 16–18, 2026. The book is a collection of innovative ideas from researchers, scientists, academicians, industry professionals, and students. The book covers a variety of topics, such as expert applications and artificial intelligence/machine learning; advance web technologies such as IoT, big data, and cloud computing in expert applications; information and cyber security threats and solutions, multimedia applications in forensics, security and intelligence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Assessment of Massive MIMO Technology Viability for mmWave 6G Networks through Simulation-Based Performance Analysis Under Realistic Conditions.- Pattern-Guided GenAI Co-Design for Architecture Decisions: A Prompt Sequencing Framework.- Development of Secure Communication Protocols for mmWave 6G Networks Addressing Vulnerabilities and Ensuring Data Integrity in High-Frequency Systems.- A Hybrid Transformer Architecture with Evolutionary Feature Optimization for Multimodal Phishing Detection.- A Novel Deep Learning Approach for Enhancing ENSO and IOD Forecasting.- Enhancing OCR Accuracy on Degraded Documents Using Hybrid Deep Learning and Classical Filtering Techniques.- Relaxation redefined: Machine Learning-Enhanced Separation of Instrumental Audio for wellbeing.- Climate Oriented Responsive Precision Agriculture and Smart-farming (CORPAS).- Feature Selection Techniques for Resource Estimation on the Cloud Workload.- A Unified Pipeline: From Filter-Based Feature Extraction to Mask Generation.- Machine Learning Approaches to Audio-Visual Rehabilitation in Early Childhood.- Evaluating Quantum vs Classical Machine Learning under Classical Simulation Environments.- Quantum-Classical Hybrid System Architecture for Multi-Temporal Change Detection in Satellite Remote Sensing.- A Comparative Analysis of Multifactor Approach for Suicide Ideation Detection from Social Media Texts.- A Unified Food Delivery Ecosystem Using Machine Learning.- Etc.




