1.065 hasil untuk machine learning
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Buku
Electrical Engineering for Sustainable Energy: Electric Vehicles, Smart Grids, Renewable Power Systems, and Artificial Intelligence
…for renewable energy and electric mobility • Artificial intelligence and machine learning in power systems • Intelligent energy management and demand response • Microgrids, energy optimization, and future smart-energy technologies Special attention is given to the role of Artificial Intelligence…
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Buku Teks lengkap
Personal data law: personal data protection in the new era.
…rapid development of digital transformation and artificial intelligence, machine learning, neural networks, and decentralized systems. The monograph provides a new doctrinal definition of the concept of personal data based on the principle of technological neutrality, and thoroughly elucidates the…
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AUTOMATION IN MANUFACTURING
…factories, emphasizing intelligent manufacturing environments, AI and machine learning applications, industrial IoT, and emerging technologies such as additive manufacturing, AR/VR, and blockchain. Automation in Manufacturing is intended for students, engineers, and professionals in the…
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Mastering the Age of AI: A Comprehensive Guide to Intelligent Computing
…in a way that is both clear and engaging. Covering topics such as machine learning, neural networks, ethical considerations, and the future of intelligent systems, the book offers a holistic understanding of AI’s foundations and its potential applications. Equally important, this work explores the…
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Smart Environmental Systems: Climate Intelligence, Sustainability, and Policy Innovation
…of Things (IoT), Big Data Analytics, Remote Sensing, Digital Twins, Machine Learning, Geographic Information Systems (GIS), and intelligent decision-support systems are transforming environmental monitoring, climate adaptation, natural resource management, and sustainable development practices. It…
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Neuro-AI Fusion: Integrating Nervous System Functions with Intelligent Technologies for Pain, Sensory, and Motor Control
…assessments, and facilitating continuous monitoring. In pain medicine, machine learning algorithms can analyze physiological signals, neuroimaging findings, and behavioral indicators to support pain classification, severity estimation, and treatment selection. These applications may be particularly…
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The FCI Framework: A Universal Model for Understanding and Optimizing Complexity – Manual for ID, TC, and ED
…AI & Data Scientists optimizing algorithms, reducing bias, and improving machine learning efficiencies. Economists & Financial Analysts forecasting market instabilities and systemic risks. Engineers & Technologists designing adaptive systems based on information-first principles. 🌍 Open Access &…
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Robotics: Modeling, Planning, and Control by Mr. Sathish Kumar Anumula, Dr. Ravi Kumar Nagula, Mr. Niranjan Babu Bethi, Dr. Kanishk Sharma, Mr. Chetty Nagaraj
…including kinematics, control systems, artificial intelligence, and machine learning, as well as their integration into real-world industrial applications. Throughout this book, we delve into various sectors where robotics and automation are making significant strides—manufacturing, healthcare…
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Robotics and Automation: Principles and Industrial Applications
…including kinematics, control systems, artificial intelligence, and machine learning, as well as their integration into real-world industrial applications. Throughout this book, we delve into various sectors where robotics and automation are making significant strides—manufacturing, healthcare…
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Strategic Management and AI
…formulation becomes a collaborative dialogue between human judgment and machine intelligence, where AI acts as a thought partner for scenario simulation. Implementation is reimagined through new, agile 'agentic' organisational structures and AI-embedded workflows. Finally, evaluation and control…
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Harnessing Technology: "Smart Solutions for Sustainable Fisheries
…intelligence (AI) in fisheries management is highlighted, showcasing machine learning models that enhance stock assessments and predictive modelling. Block chain technology is also examined for its potential to improve traceability and transparency in seafood supply chains, fostering consumer…
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AI IN RESEARCH METHODOLOGY
…between artificial intelligence (AI) and research methodology stems from machine learning algorithms' capacity to identify significant patterns in large datasets, which empowers researchers to derive useful insights and arrive at well-informed conclusions. Furthermore, AI has an impact on every…
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Artificial Intelligence for Drug Development, Personalized Prescriptions, and Adverse Event Prediction
…prediction in the field of healthcare. Through advanced algorithms and machine learning techniques, AI enables pharmaceutical companies to expedite the drug discovery process, saving both time and resources. In drug development, AI algorithms analyze vast amounts of biological data to identify…
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Block Chain and its Applications
…research and supply chain management. This technology's integration with machine learning and big data will be explored, shedding light on its role in improving data management and ensuring the integrity of information. Throughout this book, we will delve into real-world case studies, practical…
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Biostatistics explored through R software: An overview
…being applied in different fields including the emerging fields such as Machine Learning, Natural Language Processing and Artificial Intelligence because of the fact that each field deals with data in one form or the other. Statistical methods help decision makers to arrive at evidence based…
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The Geometry of Consciousness: Informational Dynamics, Intrinsic Time, and Decision-Theoretic Sufficiency A Unified Dissolution of the Externalist Impasse, with Formal Verification and Cross-Domain Validation
…validated against analytic benchmarks, and the two central theorems are machine-verified in Lean 4 / Mathlib4. The framework is formally grounded, empirically tractable, computationally implementable, and resistant to the canonical objections that have impeded progress in this domain for four…
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Big Data Analytics
…processing to advanced topics such as artificial intelligence, deep learning, real-time stream analytics, and predictive modeling, we offer content that is both accessible and technically rigorous. We spotlight major tools and frameworks like Hadoop, Spark, Kafka, Hive, and NoSQL databases…
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AI-Driven Precision Care for Chronic Diseases
…nature of disease progression. Artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), offers an opportunity to strengthen precision care by integrating large and diverse datasets and translating them into individualized predictions and clinical recommendations. AI…
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Intelligence Beyond Brains: Chemical, Animal, and Artificial Minds in the 21st Century
…cognitive science and psychology, intelligence is linked to reasoning and learning; in zoology and animal behavior, it is inferred from adaptation and survival strategies; in artificial intelligence (AI), it is measured through task performance and optimization. These fragmented interpretations…
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The Tethered Mind
…Augmentation over Replacement The solution is not to surrender to the machine but to restructure how human experts tether those machines to reality . The book proposes a rigorous, multi-stage pipeline built on Cognitive Scaffolding , transforming LLMs from unpredictable text generators into…
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