Smart Systems and Beyond

Session 1 Mathematical and Computational Algorithmic Applications for Smart Systems Engineering Experimental and Statistical Evaluation of Fine-Grained Soil Stabilisation Using Waste Marble Powder as a Sustainable Binder; A Novel Framework for Convergence Ordering and Stability Analysis of Coefficient-Sensitive Iterative Algorithms; Deep Transfer Learning Models for Cancer Classification: A Comparative Study; Smart Toll Management System Using Arduino and IoT; AI-Powered Smart Glasses for Visually Impaired with Indoor and Outdoor Navigation and Object Manipulation Guidance; Short-Term Load Forecasting in Hybrid Energy System for Supporting Demand Response Program; Smart Indoor Navigation System for the Visually Impaired Using SLAM and LiDAR Technologies; Design and Realization of IFF Linear Array Based on Triangular Multi-Layer Planar Patch Antenna; Transfer Learning and Ensemble Models for Improved DR Detection Accuracy; An Overview of Robotics: From Classification to Advanced Control Approaches; Optimization in Energy Harvesting Wireless Networks Using Hybridized Algorithms; Strategic Resource Allocation for Enhanced Market Performance; Intelligent AI Communication Monitoring and Voice Recording Solution with Automated Processing and Message Delivery for Improved Transparency and Accessibility; Session 2 Embedded Systems and VLSI Technologies A Robust Adaptive Control System for Fire Fighting Robots; Deep Learning Approaches for Network Intrusion Detection Systems: Architectures, Challenges, and Future Directions; A Hybrid Strategy for Handwritten Text Recognition to MobileNet, LSTM, and Transformers; Optimization of Integrated MB-OFDM: Fibre Network Performance and Applications to WPAN; Managerial Analysis and Effects of Mental Disorder Health Problem: Dementia; Transformer-Based Machine Learning for Antenna Parametric Optimization; Data-Driven Forecasting of Blood Glucose Levels via ExtraTrees Ensemble Learning; Non-Invasive Brain Cancer Detection with Compact UWB Microstrip Antenna Having Stair Patch Geometry; Ensemble Machine Learning Models for High-Efficiency Antenna Design and Optimization in Next-Generation Wireless Systems; Cross Language Plagiarism Detection in Regional Languages: A Comparative Study of CLPD Models and Approaches; A Performance Evaluation of Machine Learning Models for Maternal Health and High-Risk Pregnancy Dataset; Session 3 Robotics, Control, and Automation in Electronics Design and Implementation of a Simulink Model of Virtual Mouse Using Hand Gestures Control with High Accuracy; Modeling Rational Information Dissemination via Blockchain in Neuro-Sensitive Social Networks; SWeAT: Bridging Reproducibility, Explainability, and Scalability in Software-Based Remote Attestation; Localization of Mobile Nodes in Wireless Sensor Networks Using RGWO Algorithm; Design of Photonic Biosensors for the Detection of Spoiled Fruits and Vegetables; Fuzzy Logic-Based Energy Management for Multi-Port DC-DC Converter in Electric Vehicles: Performance Evaluation and Power Flow Analysis; Adaptive FP-Algorithms for CFD Models: Convergence, Stability, and Superlinear Efficiency; Evaluating the Performance of Multiuser Space-Time Signal Processing Using Hybrid Receiver Selection in Power Limited Cognitive Radios; IRS Assisted Cognitive Radio Networks: Methodologies and Applications; ML-Driven Design Optimization of a Circular Patch Antenna for Predictive Non-Invasive Blood Glucose Monitoring; Harnessing Machine Learning Classifiers as Fitness Functions in Metaheuristic-Based Feature Selection for Mammographic Breast Mass Classification; Session 4 Information Technology and Intelligent Systems

Toward a Theory of AI-Enhanced Accuracy in Climate Change Journalism; Efficient Ambient Sound Energy Harvesting Using Real-Time Sound Analysis; DL-CD: A Deep Learning Generative Models for Accurate Change Detection in Remote Sensing Data; Utilizing Decentralized Blockchain Platforms and Advanced Cryptographic to Mitigate Data Breaches in Healthcare Systems; A Comprehensive Review of Urban Growth Detection Through the Fusion of Remote Sensing and Machine Learning; AI-Assisted Tumor Detection in MRI and CT Scans Using Image Segmentation Techniques; A Hybrid Framework for Motor Imagery EEG Decoding; Real-Time Disease Screening in Public Areas Using Autonomous BOTS; From Cloud to Curb: An Edge AI Framework for Energy-Efficient and Responsive Urban Mobility; Deep Learning-Based Diabetic Retinopathy Detection Using Fundus Images; Design of Efficient Precision Analog Comparator for Amperometric Glucose Sensing; Session 5 Data Science and Analytics Efficient and Lightweight Framework for Confidential Medical Image Diagnosis Using Edge AI; A Nowel Low Power Analog Comparator Design for Biomedical Instrumentation; AI-Based Insider Threat Detection System in Colleges and Laboratories; StrRem-Net: A Blended Deep Learning Model with LSTM for Accurate Rain Streak Removal in Digital Images; Ethical Considerations in the Implementation of Artificial Intelligence in Recruitment Processes; Development of a Selective Refractive Index-Based SPR Sensor for Acetone Detection in Industrial Wastewater; RFID-Based Smart Trolley System for Automated Invoicing and Retail Efficiency; Polymer Optical Fiber (POF)–Powered Passive Optical LAN for Business Applications; REES: A Resource-Efficient and Enhanced-Security Mutual Authentication Scheme for Wireless Sensor Networks; A Detailed Investigations on IOT Applications and Challenges; Cybernexotics: A Holistic Approach to Fusing APIs and Computational Protocols for AI-Driven Threat Intelligence; A Comprehensive Review of Face Detection Algorithms: An In-Depth Analysis of Multitask Cascaded Convolutional Networks (MTCNN)