Advances in Data Science and Artificial Intelligence

An Unique Comprehensive Analysis for Detecting Vitamin Deficiencies using Picture Analysis through Image Processing.- Predictive Traffic Management and Deep Learning Based Vehicular Congestion Mitigation.- Comprehensive analysis of Smart Greenhouse Monitoring System.- Cybersecurity Threat Detection of Anomaly based DDoS Attack using Machine Learning.- Deep Learning-Based Biometric Verification in a Secure Cloud Environment.- MOBILE APPLICATION TO DETECT SUGARCANE DAMAGED BILLETS.- Android Security: Genetic Algorithm-Based Malware Detection System.- Fire Detection Using Transformer Based Model.- NFT MARKETPLACE FOR EXCHANGE OF DIGITAL ARTIFACTS USING SMART CONTRACT.- Multi-Facial Recognition using Multitask Cascaded Convolutional Neural Networks.- CROP-CONNECT : Empowering Farmers through Digital Community.- A Novel System for Authentication of Identity Cards using YOLO v5 & YOLO v8.- Tailored Garment Recommendations Using Computer Vision and Machine Learning.- Brain Diseases Prediction using ML.- ASSISTING VISUALLY CHALLENGED INDIVIDUALS TO DISTINGUISH AUTHENTIC CURRENCY FROM COUNTERFEIT.- Zenify.me - Your AI companion for a happier, healthier you.- IoT-Powered Hydroponics System: A Real-Time  Monitoring and Control System.- Robust Human Target Detection And Acquisition.- Software Effort Estimation using AIML and a User-interface: A Comprehensive Literature Review.- A semi-supervised Centroid based Object Tracking in Video surveillance Using Deep Detector and Salience Estimation.- Recognizing personality traits from handwriting with machine learning technique.- Exploring the causes of Maternal mortality in Karnataka and Crafting Strategies for Prevention.- Utilizing Deep Learning Features to Categorize White Blood Cells in Blood Smear Images.- ENHANCING DATA SECURITY AND CLOUD PERFORMANCE WITH CONFIDENTIALITY- BASED CLASSIFICATION-AS-A-SERVICE (C2AAS) FOR BIG DATA PROCESSING AND STORAGE.- SmokeEye: An AI-ML based Dehazing and Desmoking System.- HYBRID APPROACH USING DEEP NEURAL NETWORKS FOR LEAF DISEASE DETECTION AND DISEASE MANAGEMENT.- Hybrid Model of SRGAN CNN-LSTM for Classifying Dysgraphia in Primary school children using Handwritten Images.- Securing Evidence in Digital Forensics Using Blockchain.- A Tri-Model Ensemble Approach for Phishing URL Detection using Explainable AI and Hyperparameter Tuning Techniques.-Exploring Advanced Techniques in Evaluating Water Quality Safety: A Comparative Analysis of Machine Learning and XAI Approaches.- Enhancing Medical Imaging: A Holistic Exploration of Precise PCOD Segmentation and Classification using Ensemble Deep Learning Approaches.- Design and Implementation of AI Machine Vision Inspection System with Multi-Optical Images for OLED Film Manufacturing.- Novel Framework for Malicious URL Detector using Enhanced XGBoost.- HealthLink: A Healthcare System Leveraging IoT, Blockchain, and IPFS for Enhanced Data Security.- Brain Tumor Segmentation Using 3D Unet and 3D Autoencoder Contribution.- Exploring Synthetic Data Generation Methods: A Comprehensive Survey.- Safeguarding EVs: A Next-Generation BMS with Integrated Fire Protection.- A QoS Aware RA Algorithm for OFDM Network.- Advancing Video Surveillance Security: Real-Time Threat Detection  with Deep Learning.

• Erscheinungsdatum: 22.07.2025
• Autor/Autorin: L. M. Patnaik
• Reihe: Engineering
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 30.3 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 543 Seiten
• ISBN: 9789819644308
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.