Computing Concepts for Science, Engineering and AI, Volume I - CSEAi 2023, Vizianagaram, India, November 29-30

This proceedings is an insightful compilation of the latest advancements and innovations presented at the International Conference on Computing for Science, Engineering, and Artificial Intelligence (CSEAi) 2023 that was held on 29-30 November 2023 at the Lendi Institute of Engineering and Technology, Vizianagaram, India.
With contributions from leading experts in these fields and a new generation of young researchers, this book covers a broad spectrum of topics, from computational methods in science and engineering to the transformative role of AI in problem-solving and automation. The collection highlights how interdisciplinary approaches are shaping the future of technology, exploring themes such as machine learning, data analytics, high-performance computing, and their real-world applications in diverse fields like healthcare, environment, and robotics.
Designed for researchers, academics, and professionals, this volume offers a comprehensive perspective on the evolving landscape of computing in solving complex scientific and engineering challenges. It serves as an essential resource for anyone seeking to understand the dynamic relationship between computing, science, and artificial intelligence in the modern world.

Table des matières

Cardio Risk: A Novel Machine Learning Based Framework for Cardiac Health.- Machine Learning Based Hybrid Approach for Stock Analysis Using LSTM and Random Forest.- Voice-Driven Early Detection Of Parkinson s Disease with XGBoost.- A Portable Wireless EEG Kit for Human Pain Detection.- Automated evolution of C comments to aid software maintenance.- Technology Based Classroom with Face Detection And IoT Using Raspberry Pi.- A Novel Decentralized Approach for Conference Key Distribution Using Efficient Congruence System.- High Speed Pattern Matching for Network Intrusion Detection Systems through Mixed Sampling with a Deep Hierarchical Network.- Structures and Analysis properties of Fuzzy Graphs.- Strongly multiplicative labelling of some standard and cycle related graphs.- Fixed point theorems for self maps on a complete metric space under TK-Condition and Applications.- Breast Tumor Detection Using UWB MSP Antenna.- Breast Cancer Detection Using CNN and UWB images.- Ensemble Learning in Cardiology: A Robust Approach to predict Heart Disease.- Detection and Classification of Diabetic Retinopathy from fundus images using Machine Learning Approach.- Techno-Economic Design and Assesment Of Grid- Isolated Hybrid Renewable Energy System For Agricultural Sector.- Advancing Early Diagnosis: Machine Learning Techniques for Breast Cancer Detection.- Pivacy-Preserving Media Sharing With Scalable Duplication In Mobile Cloud Computing.- A Webbased Project Search Engine.- Unveiling Unseen Risks IoT's Revolution in Abnormal Conditions.- The Novel Obstructive Sleep Apnea Detection using ECG Signal by Depth wise Separable Convolution Neural Networks.- Design and Analysis Of Rmpa Using Different Dielectric Materials For S Band Applications.- Connected Community Living: Smart Home Integration with Hierarchy.- Forest Fire Prediction Using Machine Learning.- Sophisticated Smart Meters Using IOT.- A Road Accident Prediction Using Data Mining Techniques.- Cloud Assisted IoT Based Scada Substation Monitoring and Alert System.- Safety in Smart Grids With Internet-Based Three- Phase Power Fault Notification System.- Web-Based Solutions for Grid Safety.- Fortifying Grid Security: Powered Detection of Energy Pilferage.- Smart Shoe System for Women Safety Using IOT.- Revolutionizing Electric Vehicles: A Comprehensive Review of Renewable Energy Integration.- Secure Vehicle Access and Real-Time Tracking System Using Biometrics.- Price Comparison Using Web Scraping Automated Exam Hall Seating Arrangement.- Multi-scale Guided Filter and SVD Integration for Image Fusion.- IOT Bases Vehicle Theft Detection.- Accident Detection and Monitoring System Using IOT.- Image Forensic For Digital Image Copy Move Forgery Detection.- Deep Learning To Improve Breast Cancer Detection On Screening Mammography.- Security Experiences In IoT Based Applications For Building And Factory Automation.- Brain Tumor Diagnosis and Detection Database.- A Comparative Study of Approximate Multipliers for Fault-Tolerant Applications.- Auto Carts For Safer Retail: Enabling Social Distance Shopping.- IoT-Enabled Home Automation With Nodemcu.- By Using Refrigeration System To Control Both Temperature And Humidity In Seed Preservation Chamber.- A Technical Exploration of Semi Automator Robotic Assistance Fire Fighting.- Blood Bank Management System.- Location Based Services Using Indoor Positioning Systems.- Design Of Smart Cradle System Using IoT.- Auto-Exam Seating System Using SVM.- Multipurpose Agriculture Robot Using Bluetooth.- Internet of Things for Electrical Appliance Surveillance.- Credit Card Fraud Detection Using Machine Learning.- Placement Feedback Form Analysis To Increase The Placement Success Rate.- Efficient Exam Seating: Implementation with Java Spring Boot Framework.- Modeling Of News Article Using Latent Dirichlet Allocation(LDA).- A Web Based Project On Farming Management System.- Pneumonia Detection Using Deep Learning.- An Interactive Flashcard Application.- Front-View Based Vehicle Classification Using Machine Learning.- Student Recommendation System For Career Paths.- Huge Mart Sales Projection Using Machine Learning.- Canteen Automation System Using Flask & Content Based Filtering.- Design Of Commercial Building Of 4 Stores Against Sesmic.- A Study on Replacement of Coarse Aggregate with Recycled Coarse Aggregate (RCA).- Rainfall Forecasting Utilizing Machine Learning Techniques.- Iris Recognition Modern Voting System Enhanced by Machine Learning.- Checking Security Properties of Cloud Service Rest Apis.- Design of Residential Building Of 4 Floors Using Bentley Analysis Software.- To Detect Breast Cancer through Hybrid Segmentation Approaches Using Machine Intelligence Techniques.- Author Profiling to Analyze Scholarly Data through Web Scraping: A Focus on Coauthorship, Research Interests using Topic Modeling and LDA.- Proxy Reviews Detection Using Machine Learning.- A Secure Energy Trading System for Smart Grid with Consortium Blockchain.- Breast Cancer Prediction with Wisconsin Dataset: A Machine Learning Perspective.- Detection of Cardiac Arrhythmia Using Support Vector Machine.- Face Recognition using ESP32 for Bank Locking System.- Food Recognition and Nutrition Visualization Using Inception V3.- Travelling Salesman Problem Using Genetic Algorithm.- Rainfall Prediction Using The Xgboost Model.- Automated MCQ Generation using NLP.- Power Supply in Switch Mode for a Multilevel Inverter.- Examining Deep Learning Techniques For Classifying Remote Sensing.- Satellite Images: An Experimental Review and Comparative Study.- Expenses Management System using Bcrypt Hashing Algorithm.- Workout Facility Management Solution For Gym.- Online Notice Board.- Mental Health Analysis Among College Students Using Machine Learning Algorithms.- Diseases Detection of Various Plant Leaf Using Image Processing Techniques: A Review.- Index.

Résumé

This proceedings is an insightful compilation of the latest advancements and innovations presented at the International Conference on Computing for Science, Engineering, and Artificial Intelligence (CSEAi) 2023 that was held on 29-30 November 2023 at the Lendi Institute of Engineering and Technology, Vizianagaram, India.
With contributions from leading experts in these fields and a new generation of young researchers, this book covers a broad spectrum of topics, from computational methods in science and engineering to the transformative role of AI in problem-solving and automation. The collection highlights how interdisciplinary approaches are shaping the future of technology, exploring themes such as machine learning, data analytics, high-performance computing, and their real-world applications in diverse fields like healthcare, environment, and robotics.
Designed for researchers, academics, and professionals, this volume offers a comprehensive perspective on the evolving landscape of computing in solving complex scientific and engineering challenges. It serves as an essential resource for anyone seeking to understand the dynamic relationship between computing, science, and artificial intelligence in the modern world.

Détails du produit

• Collaboration: Nishtha Kesswani (Editeur), Nishtha Kesswani et al (Editeur), Frank Lin (Editeur), Ashok Patel (Editeur), Bosubabu Sambana (Editeur)
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 29.08.2025
• EAN: 9783031951589
• ISBN: 978-3-0-3195158-9
• Pages: 848
• Illustrations: XII, 848 p. 521 illus., 452 illus. in color.
• Thème: Springer Proceedings in Mathematics & Statistics
• Catégories: Sciences naturelles, médecine, informatique, technique > Mathématiques > Théorie des probabilités, stochastique, statistiques; Künstliche Intelligenz, Data Science, machine learning, Artificial Intelligence, Mathematik für Informatiker, software development, Mathematics of Computing, Computational Mathematics and Numerical Analysis, probability in machine learning