
Recent Trends in Data Analytics and Computing
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Recent Trends in Data Analytics and Computing
About this book
We are pleased to present the proceedings of the International Conference on Advanced Data Analytics and Computing (ICADAC) 2025, a premier platform that brings together researchers, scholars, and industry professionals to share their latest findings, technological advancements, and practical applications in the field of data analytics and intelligent computing. ICADAC 2025 has received a remarkable number of high-quality submissions from across the globe, reflecting the growing interest and ongoing innovation in this dynamic domain. After a rigorous peer-review process by our esteemed technical committee, a curated selection of papers has been included in this volume. These contributions span various topics, including machine learning, artificial intelligence, big data processing, cloud computing, Internet of Things (IoT), cybersecurity, and their applications across various sectors including but not limited to Mechanical Engineering, Civil Engineering, Electrical Engineering, Electronics and Communications Engineering, Computer Science Engineering, Information Technology and other interdisciplinary areas
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Table of contents
- Cover Page
- Half Title page
- Title Page
- Copyright Page
- Conference Proceedings Series on Futuristic Intelligent and Smart Technologies (FIST)
- Dedication
- Contents
- List of Figures
- List of Tables
- Preface
- Advisory Committee
- Technical Program Committee
- Organizing Committee
- 1 Enhancing patient-centered healthcare: utilizing metaverse and blockchain for secure and reliable data sharing
- 2 Trash tracker-an AI-enhanced waste surveillance and notification system
- 3 Optimizing rail steel strength prediction: a novel genetic algorithm-ANN approach for microstructure analysis of pearlite phase
- 4 An intelligent clinical decision support for heart disease prediction using machine learning
- 5 Adaptive LSTM models for robust stock price prediction under market volatility
- 6 Smart applications and challenges of Internet of Things: a review
- 7 Fabrication of rain sensing RPM limiter for city and highway speed control
- 8 Optimizing academic performance in hybrid learning via clustering-guided with data mining techniques in higher education system
- 9 AI-driven cloud shield: a comprehensive review of machine learning approaches for cloud cyber security
- 10 AI-powered privacy shields and machine learning approaches for securing digital money transactions: a systematic review
- 11 TransformoDocs: a multi-modal, self-improving document conversion system with adaptive capabilities
- 12 Comparative evaluation of pentagon, hexagon, and heptagon microstrip patch antennas for 5G applications
- 13 Deep learning based fruits recommendation system by considering on individual health conditions and dietary needs
- 14 Gender differences in thermal comfort: a comprehensive review
- 15 An embedded system to identify the damage brain regions due to stroke, tumor and injury the known cause of the epilepsy
- 16 Impacts of as composition fraction on sensitivity in dielectric modulated trench junctionless InAsxSb1-x DG FET biosensors
- 17 Meditox: integrating machine learning and molecular data for accurate drug toxicity prediction
- 18 Enhancing photos with deep learning to eliminate block artefacts
- 19 Nanotechnology: a sustainable and ecofriendly approach in wastewater treatment and quality monitoring
- 20 Optimal load balancing technique for energy-efficient fog computing architecture
- 21 Performance assessment of PID and sliding mode controllers for DC motor speed regulation
- 22 Implementation of carry skip adder with speed and less delay
- 23 Analysis of precision cardiovascular disease classification using machine learning techniques
- 24 Segmentation and LSB based fragile medical image watermarking using differential evolution
- 25 Hierarchical vision transformers for pneumonia classification: a study on hyperparameter impact
- 26 Sustainable soil stabilization: combining lime and jute fiber for expansive soil improvement
- 27 Psychological effects of technology addiction using KNN, SVM, random forest and Naïve Bayes
- 28 Delay driven congestion control approach under smart virtual parallel TCP application
- 29 Generative AI and deep learning for phishing detection: a comparative analysis
- 30 KernelSwinNet: a Swin Transformer-based deep learning framework for brain tumor segmentation with dual attention and kernelized feature fusion
- 31 Employing modified VGG-19 for multi-class classification of skin cancer with model hyperparameters tuning
- 32 Enhancing energy efficiency in vapor compression refrigeration: a review of waste heat utilization techniques
- 33 Airplane seating assignment greedy algorithms that separate passengers likely to be susceptible to infectious disease from those likely to be infectious
- 34 Blockchain- empowered metaverse: decentralized crowdsourcing and marketplace for trading machine learning data and models
- 35 Comparative performance analysis of dockerized web applications on AWS and oracle cloud
- 36 Employing generative adversarial techniques to address imbalanced datasets
- 37 Pioneering employee healthcare: dynamic workforce optimization
- 38 Accelerating object detection with XNOR-based optimized CNN architecture and real-time processing
- 39 Optimized booth multiplier architecture for enhanced performance in FPGA designs
- 40 Precision diagnosis: an automated method for detecting congenital heart disease in children from phonocardiogram signals employing deep neural network
- 41 Federated transfer learning for Alzheimer's disease classification using MRI images
- 42 AI-driven anomaly detection in secure database access logs using python
- 43 Performance analysis of AI-optimized query execution in simulated cloud data warehousing
- 44 AI-based schema evolution detection and data consistency checking in SQL to cloud migrations
- 45 Efficient design of grid-connected PV networks using particle swarm optimization: a cost-effective solution
- 46 Designing a comprehensive model to handle imbalanced data classification using hybrid Gaussian noise up-sampling and an optimized classifier
- 47 Face recognition system using Dlib and face-recognizer module
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