1.065 hasil untuk machine learning
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AI Applications in Signal Processing BY Dr. Subuddi Nagaraju, Dr. R. Vijayarani, Dr. K. H. Krishna Prasad, Dr. Jami Venkata Suman, Dr. Abraham C. G
…and autonomous systems. The integration of AI techniques—including machine learning, deep learning, and intelligent optimization—with traditional signal processing methodologies has opened new avenues for research, development, and real-world applications. This multi-author volume, AI Applications…
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MAGNETIC NANOTECHNOLOGY IN BIOMEDICAL AND INDUSTRIAL ENGINEERING
…an advantage, but a necessity. This book, Solar Energy Forecasting and Machine Learning, explores the intersection of renewable energy and advanced data science, offering a comprehensive guide to navigating this critical field. The primary objective of this work is to bridge the gap between…
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Artificial Intelligence in Finance and Business: Theory, Applications and Strategy
…business intelligence, and strategic planning. It discusses the use of machine learning, natural language processing, predictive analytics, robotic process automation, and intelligent systems in addressing complex business and financial challenges. The book also highlights important issues related…
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Человек не робот: ошибаться на тренировке, чтобы не ошибаться в деле. Методичка о сути технологии ЦКН — Цифровой контур навыка
…Education Technology. Experience is understood as a completed cycle, and learning as its repetition: the learner's own attempt (free character-by-character input), an instant deterministic check against a fixed standard, the learner's own search for the cause of a mismatch, and renewed practice in…
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BugHawk: A Unified AI Framework for Predictive Bug Analysis, Security Auditing and Automated Documentation
…program analysis using Abstract Syntax Trees (AST) with transformer-based machine learning models to detect vulnerabilities, identify potential defects, and assist developers in improving software reliability. BugHawk operates as an offline Edge-AI solution, making it suitable for secure…
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Predictive Maternal Healthcare Intelligence Systems
…sensor-based healthcare systems, artificial intelligence, and machine learning techniques, new possibilities have emerged for real-time maternal health monitoring and predictive healthcare support.
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Book of Abstracts from the International Workshop "From Genomic Analysis to Functional Models in Microbiomes and Synthetic Consortia" (BiomeFUN 2025), 15-19 September 2025, Belgrade, Serbia
…landscape modeling of synthetic consortia & Applications of machine learning in microbiome research.
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THE EL-RAKHAWI INTEGRATED FRAMEWORK FOR SOLID-STATE HYDROGEN STORAGE AND PGM-FREE CATALYSIS USING HYBRID METAL-ORGANIC FRAMEWORKS AND SINGLE-ATOM CATALYSTS
…It introduces Hybrid Metal-Organic Frameworks (MOFs) designed via machine learning for safe, solid-state hydrogen storage at near-ambient conditions (<50 bar), eliminating energy-intensive 700-bar compression. Simultaneously, it replaces expensive platinum with Platinum-Group-Metal-Free (PGM-Free)…
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HOW AI IS GOING TO SHAPE THE FUTURE OF ECONOMICS AND FINANCE: NEW PARADIGMS IN ECONOMIC DECISION-MAKING
…and policy thinkers, it presents a comprehensive examination of how machine learning, big data, natural language processing, and related AI technologies are revolutionizing decision-making processes in financial markets, economic forecasting, and public policy. Drawing on academic research, global…
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Professional Computer Science: Theory, Practice, and Applications: Theory, Practice, and Applications
…illustrations, comparison tables, and review questions to enhance learning and problem-solving skills. Inside This Book Foundations of Computer Science Programming and Software Development Data Structures and Algorithms Database Systems and SQL Computer Networks and Internet Technologies…
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ARTIFICIAL INTELLIGENCE APPLICATIONS IN HUMAN RESOURCE MANAGEMENT
Anyone with an interest in learning about cutting-edge methods to adopt in human resource management with artificial intelligence techniques in order to recruit a talented workforce and establish their quality in business sectors should read this book. Scientific innovation in the hiring process…
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العدالة التنبؤية ومستقبل القضاء في عصر الذكاء Justice foresight and the future of the judiciary in the age of artificial intelligence
…the legal field. Predictive analysis of judicial decisions using machine learning techniques is one of these promising applications. This technology can help improve the efficiency and effectiveness of the legal system, and it can also assist in making more fair and effective decisions by using…
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Intelligent Computing and Digital Transformation: Concepts, Technologies, Applications, Ethics, Security, and Future Trends
…transformation, technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Cloud Computing, Big Data Analytics, Blockchain, Edge Computing, Robotics, and Digital Twins have become essential components of intelligent systems. This book presents these…
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Smart Industry Using Industry 4.0 and 5.0 to Improve Manufacturing Processes in Small and Medium-Sized Businesses in México
…on an Internet of Things (IoT) data acquisition system integrated with machine learning (ML) models to monitor and predict key industrial variables. The research follows a prototype development methodology adapted from Pressman, comprising analysis, design, con-struction, testing, and evaluation…
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Recykling 4.0: Nowe technologie w służbie zrównoważonego rozwoju
…sorting systems, intelligent sensor networks, predictive analytics, and machine learning algorithms. The publication also discusses the role of robotics in improving operational efficiency and safety, as well as the use of IoT systems in optimizing logistics and real-time monitoring of waste…
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TRANSFORMATION IMPACT OF ARTIFICIAL INTELLIGENCE IN MEDICINE
…case studies, readers gain insights into AI methodologies such as machine learning, neural networks, and advanced algorithms, along with their applications across various medical specialties. The book begins with a foundational introduction to AI and machine learning, explaining key concepts and…
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Cloud-Based Data Engineering: Architecting Modern Data Platforms for Scalable, Intelligent, and Real-Time Analytics
…cloud-native architectures. It also integrates artificial intelligence, machine learning, and real-time analytics to transform raw data into actionable insights. Cloud-based data engineering enables organizations to process and analyze data efficiently while ensuring flexibility, security, and cost…
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An Introductory Guide to Artificial Intelligence for Engineers
An introductory, engineer-oriented guide to artificial intelligence and machine learning. It presents core concepts through practical case studies (including linear regression, symbolic regression, and neural networks) emphasizing mathematical foundations, interpretability, and sound model…
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Macrophage Heterogeneity and Immune Checkpoints in Atherosclerosis SingleCell Transcriptomics and Artificial Intelligence-Driven Insights
…of inflammatory imbalance within arterial plaques. It highlights how machine-learning models refine cell-state classification, predict functional transitions, and reveal regulatory networks that remain hidden in conventional analyses. With a focus on translational relevance, the book demonstrates…
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Precision Chronotherapy: AI and Personalized Treatment for Neurodegenerative Circadian Disorders
…rhythm disruption. This book examines how AI-driven analytics and machine learning can decode biological rhythms, enabling the design of personalized therapeutic strategies for disorders such as Alzheimer's, Parkinson's, and other neurodegenerative conditions. It highlights innovative approaches…
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