1.065 hasil untuk machine learning
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Buku
Causal Inference: An Introduction
…Inference, Explainable Artificial Intelligence (XAI), and Reinforcement Learning, expanding the reader’s understanding of how to uncover cause–effect relationships, interpret complex models, and learn optimal policies through interaction and reward. The series culminates with Data Visualization…
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Quantum Computing Frontiers: Volume-2
…systems, NISQ devices, and applications in optimization, machine learning, and drug discovery. Designed for students, researchers, educators, engineers, and professionals, this volume provides a structured foundation for understanding advanced quantum computing concepts, computational models…
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Integrated Approaches to AI, Digital Transformation and Sustainable Development
…and social well-being. It delves into how data analytics, automation, machine learning, and digital platforms are redefining efficiency, transparency, and decision-making across sectors. At the same time, it emphasizes the ethical, environmental, and socio-economic considerations that must guide…
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Artificial Intelligence for Hard-to-Treat and Unknown-Origin Cancers
…gaps by analyzing complex datasets with remarkable speed and precision. Machine learning models can evaluate radiologic scans, pathology slides, genomic sequencing, and clinical histories to detect patterns that escape human observation. Through these analytic strengths, AI can identify the most…
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Advanced Topics in Neutrosophic Mathematics: Graphs, Algebra, Analysis, and Applications
…research directions, including neutrosophic artificial intelligence, machine learning, quantum neutrosophic structures, network science, algebraic topology under uncertainty, and sustainability applications. By bringing together diverse mathematical perspectives, this volume provides a unified…
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Introduction to Cloud Computing
…storing data in the cloud, processing large amounts of data, and using machine learning in the cloud. Real-world case studies and practical examples are used to connect what is learned in school with how things are done in the industry. The goal is to give students, teachers, researchers, and…
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Refined and Over/Under/Off Extensions of Probability, Imprecise Probability, Neutrosophic Probability, Plithogenic Probability, Measure, and Statistics.
…Bayesian inference, multi-criteria decision-making, actuarial risk, machine-learning uncertainty quantification, and quantum probability. Numerical case studies and applications in medicine, engineering, finance, quality control, supply chains, risk analysis, and other domains demonstrate how…
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Data Analytics and Management for the Digital Economy: Innovations, Applications and Strategic Perspectives
…examine key areas such as big data analytics, artificial intelligence, machine learning, business intelligence, predictive and prescriptive analytics, cloud computing, digital transformation, financial analytics, healthcare analytics, marketing analytics, supply chain management, e-governance…
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ADVANCED CHEMISTRY
…simulation, and the emerging applications of artificial intelligence and machine learning in chemical research. These areas provide insights into the evolving methods used to understand molecular systems and accelerate scientific discovery. Overall, this book serves as a valuable academic resource…
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Buku
EL-RAKHAWI UNIFIED PROTOCOL FOR AI-GUIDED MANGANESE-BASED QUANTUM-CHEMICAL SOFT ROBOTICS FOR AUTONOMOUS EXPLORATION AND ENVIRONMENTAL REMEDIATION
…gradients (H₂O₂, glucose, pollutants) 4. Physics-Informed Reinforcement Learning (PIRL) for real-time adaptive control with less than 2% prediction error Three robot architectures: - Micro-swimmers (10-100 μm): biomedical applications, 50-200 μm/s swimming speed - Environmental nanoswarms (1-10…
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EL-RAKHAWI QUANTUM-TOPOLOGICAL CATALYSIS AND SYMBOLIC-AI MOLECULAR PREDICTION FRAMEWORK (QT-CAMP) A Unified Architecture for Earth-Abundant Catalysis, Physics-Informed Molecular Prediction, and Closed-Loop Autonomous Laboratory Discovery
…years; AI prediction accuracy 100 percent versus 60-70 percent standard machine learning. Protected by 6 comprehensive PCT claims covering earth-abundant catalyst design, symbolic AI verification, resonant activation, autonomous laboratory, rate equation, and integrated platform, QT-CAMP enables…
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ARTIFICIAL INTELLIGENCE APPROACH IN DATA BASE MANAGEMENT SYSTEM
…full potential of data by integrating the cutting-edge capabilities of machine learning algorithms, natural language processing, and predictive analytics with more conventional approaches to database administration. This consolidation not only improves the efficiency of storing, retrieving, and…
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Artificial Intelligence for Remote Patient Monitoring: Advancements, Applications, and Challenges
…providing a comprehensive view of patients' health status in real-time. Machine learning algorithms analyze this data to detect anomalies and trends, alerting healthcare providers to any deviations from normal parameters. Furthermore, AI facilitates personalized medicine by tailoring treatment…
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AI-assisted Screening and Prevention Programs for Diseases
…health outcomes. By harnessing the power of artificial intelligence and machine learning, these programs can enhance early detection, risk assessment, and personalized interventions for a wide range of diseases. One of the key advantages of AI-assisted screening programs is their ability to analyze…
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REIMAGINING INDIA'S AUTO INDUSTRY: The Transition to Future Vehicles
…Autonomous vehicle technology, Self-driving cars in India, AI and machine learning in AVs, AV regulations and safety standards, Pilot projects and testing zones, Hydrogen fuel cell technology, FCV market potential in India, Hydrogen production and distribution, Government support for FCVs…
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The AI Diagnostician: Improving Medical Diagnosis with Artificial Intelligence
…patterns and correlations that may be overlooked by human clinicians. Machine learning models can be trained on extensive datasets to recognize subtle indicators of disease, leading to earlier and more accurate diagnoses. This capability is particularly beneficial in diagnosing rare diseases and…
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Sweeping Nets, Saddle Maps & Complex Analysis
…theory and cosmology or even approximation of environmental factors for machine learning. This paper introduces a novel approach to approximate surfacing singularities using a refined technique known as densified sweeping nets. By constructing a network of lines that sweep over the surface, we can…
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Designing and Conducting Clinical Trials – An overview
…Advancement in technology such as cloud computing, big data analytics, machine learning algorithms, data base management and advanced statistical software helped to transform the different stages of clinical trials - the data collection, data storage, data monitoring, data management and data…
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Neural Networks Unleashed: Transforming Data into Knowledge
…of collaboration between experts from various domains within AI and machine learning. Each chapter has been carefully crafted to provide both theoretical foundations and practical insights, offering readers a holistic understanding of neural networks. The contributors—seasoned researchers…
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والنماذج التوليدية MLOps، هندسة الذكاء الاصطناعي الحديثة: الشامل في التعلم الآلي
…البيانات . 2. التعلم الآلي والتعلم العميق (الفصل 03 - 04) التعلم الآلي (Machine Learning): شرح أنواعه الثلاثة (الموجه، غير الموجه، والتعزيزي)، ودراسة الخوارزميات الكلاسيكية وطرق تجهيز البيانات وهندسة الميزات (Feature Engineering) . التعلم العميق (Deep Learning): التعمق في بنية الشبكات العصبية…
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