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Full Description
This book includes research papers presented at the International Conference on Emerging Trends in Expert Applications and Security (NICE-TEAS 2025) jointly organized by WSG University, Bydgoszcz, Poland, Shree KKarni Universe College, Jaipur, and IES University, Bhopal, India during 4 - 6 July 2025. It includes research work from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as AI and machine learning for cyber security and threat detection, big data analytics and real-time data processing, IoT networks, cloud security, edge computing and data protection, deep learning and AI-driven predictive analytics, quantum computing for next-gen expert applications, computer vision and image recognition in smart systems, and multimedia applications in forensics, security and intelligence.
Contents
Innovative methods for contact identification of fragments in a patient's body based on machine learning.- Detection of Node Replication Attacks Using Clustering and Ensemble Methods in WSN.- The J-Curve of Productivity: Measuring the True Impact of Digital Business Assets and Financial Technologies on Economic Growth.- The Blockchain Management in Monetary Policy: Measuring Impacts on GDP and Money Supply Structure.- A Machine Learning Approach for Enhancing HPC User's Job Efficiency through Look Before Execution Method.- LiDAR-to-Brain Interface: A Novel Approach Model for Converting LiDAR Data into Neural-Compatible Electrical Signals for Brain Implants.- Android Ransomware Detection Application Using Deep Learning.- Comparative Analysis of Machine Learning Models for Predicting Patient Survival in Echocardiography Procedures.- Deep Learning -Based Feature Identification for Ocular Disease Detection Using Vgg16 Model.- Plant Leaf Disease Detection with Deep Learning Techniques: A Review with a Focus on Transformers and Explainable AI.- Evaluating Deep Learning Architectures for Sports Image Classification.- Enhanced Predictive Analysis of Brain Tumor Survival Using Multimodal Data Integration.- Improving the efficiency of sentiment analysis system based on integration with Robotic Process Automation and Knowledge-based System.- Integrating Text and Visual Features for Robust Document Classification: A Machine Learning Approach.- Translating the Art of Poetry: A Comparative Study of Advanced Translation Models.
