Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies: From Concepts to Applications in Smart Environment
Springer International Publishing (Verlag)
978-3-031-88303-3 (ISBN)
This book explores the integration of AI, data science, and emerging technologies to create innovative, practical solutions for smart environments. This book offers a comprehensive framework that combines theoretical concepts with real-world applications, focusing on how these technologies intersect to transform various domains such as healthcare, urban planning, and sustainable development.
The book's novel approach emphasizes interdisciplinary methods and problem-solving in dynamic, data-driven environments, with case studies illustrating practical impacts and advancements in smart city infrastructure, IoT, and predictive analytics. It is designed for researchers, practitioners, and advanced students interested in AI and data science applications within smart systems, as well as professionals seeking actionable insights to apply these technologies in complex environments.
Enhancing Customer Segmentation with Unsupervised Deep Learning.- Development of an EEG Controlled Soft Robotics-Based Active Hand Prosthesis for Enhanced Functionality.- RCSF & IOT In Monitoring of Obstructive Sleep Apnea.- Artificial Intelligence full potential yet attained in the e participation.- Recognition of American Sign Language using hard voting.- Smart Intrusion Detection System in Cloud Computing : A Systematic Review.- Enhancing last mile delivery efficiency through connected vehicle technology and collaborative logistics A systematic literature review.- A Review of some Semantics Methods for Translating Moroccan Text to Moroccan Sign Language.- Analysis of Depressed Patients' Sentiments towards Treatment AI Approach for Healthcare Professionals.- Understanding AI and Google's broader efforts in AI.- Integration of Generative AI and Multimodal Deep Learning for Early Detection of Chemotherapy Induced Cardiotoxicity.- Optimizing Workforce Stability Machine Learning Approaches for Predicting Employee Attrition.- XAI Driven Credit Risk Modeling A Comparative Analyses of Model Performance and Interpretability.- Adaptive Machine Learning Based Intrusion Detection Systems for IoT Networks A Dynamic Approach.- The nexus between renewable energy and Industry 5.0 A Data Driven Approach.- Integrating Augmented Reality and IoT Sensors for Advanced Real Time Greenhouse Control.- Design of Compact Band pass Filter Using Metamaterial Cell Unit Structures for Modern Communication Systems.- Feature Selection Techniques for Linear Regression in Solar Irradiance Forecasting.- A Survey on Image based ulcer detection.- Enhancing Cyber Resilience through AI Driven Phishing Tests and Gamified Learning.- Identifying and Preventing Fraudulent Activities in Financial Transactions Using Artificial Intelligence.- A Novel Deep Clustering Approach to Assess Dominance Between Solutions of a Multi-Objective Optimization Problem.- Harnessing artificial intelligence in mobile health for diabetes management: A systematic review.- Advances in Solar Energy Forecasting: Integrating Machine Learning and Hybrid Approaches.- Mathematical Modeling of Monetary Poverty by K-Nearest Neighbors Algorithm.- The effects of Fintechs on the Financial Performance: An Empirical Study Based on Moroccan innovative companies.- Machine learning for water resources in Morocco rapid review.- Assessing Territorial Attractiveness in Moroccan Provinces: A Structural Modeling Approach.- Intelligent Radar Systems A Comprehensive Study of Cognitive Radar's Evolution and Principles.- Use of Deep Learning Techniques for Classification and Prediction of High School Students Needing Academic Support.- A high gain and wideband dual port-based metamaterial MIMO antenna for 5G applications.- Machine Learning for Detecting Fake Accounts in OSNs A Review.- Literature Review on Smart Student Orientation Based on Recommendation Systems.- Enhancing Financial Decision Making with Explainable Artificial Intelligence A Case Study in Credit Risk Assessment.- A Novel Deep Ordinal Neural Network Model for Guava Fruit Quality Control.- Enhancing Urban Pollution Reduction via Reinforcement Learning-Based Traffic Light Optimization.- Optimization of a system to enhance photovoltaic module performance while producing thermal energy.- Improved Fault Classification in Photovoltaic Panels Using kNN Machine Learning.- Nudging Users Towards Embracing Electronic Payments.- CNN and Vision Transformer Models for Detecting Cheating in Online Examinations A Comparative Evaluation.- Conception of a Symmetric Fully Homomorphic Protocol based on Gentry Scheme.- Lane Detection using Computer Vision Techniques.- Design and Optimization of Fractal Multiband Antenna for mmWave Applications.- Comparative Analysis of Supervised Machine Learning Classification Models.- Toward a QoS improvement in IoT by Combining Fuzzy Logic and Machine Learning Algorithms.- AI integration in finance a shortfall.- A Deep
| Erscheinungsdatum | 07.05.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Networks and Systems |
| Zusatzinfo | XIV, 754 p. 307 illus., 260 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | artificial neural • Big Data • Computational Intelligence • conference proceedings • Information Technology • Machine Learning & Computing |
| ISBN-10 | 3-031-88303-9 / 3031883039 |
| ISBN-13 | 978-3-031-88303-3 / 9783031883033 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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