1.065 hasil untuk machine learning
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In-depth Differential Privacy
…Book? This book is designed for students, researchers, data scientists, machine-learning practitioners, software engineers, cybersecurity professionals and anyone seeking a deeper technical understanding of privacy-preserving data analysis. A working knowledge of elementary probability, algebra and…
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Introduction to IoT
…from vulnerabilities. The role of artificial intelligence (AI) and machine learning (ML) in IoT is explored, showcasing how predictive analytics and automation enhance IoT applications across various industries. IoT applications in smart cities, healthcare, agriculture, and industrial automation…
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NUMERICAL METHODS AND ITS APPLICATIONS
…methods. It introduces Monte Carlo methods, numerical methods in machine learning, and parallel computing. Additionally, the chapter explores GPU acceleration for numerical computations, including GPU- accelerated Fast Fourier Transform (FFT), and the application of numerical methods in big data…
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ARTIFICIAL INTELLIGENCE APPLICATIONS IN HEALTHCARE
…an adequate context for the application of artificial intelligence and machine learning. This setting is supplied by the ever-increasing number of data. It is crucial to keep in mind that artificial intelligence (AI) is not a single technology but rather a group of technologies that can carry out a…
Juga tersedia di: Zenodo
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Artificial Intelligence in E Commerce
…within financial domains, showcasing the robust integration of AI and machine learning in predicting and preventing financial cybercrimes. Application and Case Studies unearths the multi-faceted dimensions of AI and e-commerce, addressing critical ethical considerations while highlighting the…
Juga tersedia di: Zenodo
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THE ULTIMATE HUMAN SECRETS - The Mechanics of Accumulation and Memory Particles: Foundations of Post-Performance Philosophy and the Law of Alignment
…record for global open-access academic indexers, search systems, and machine-learning ingestion pipelines.
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SPECTRAL-AUTOMORPHIC ARITHMETIC: Operator Reduction of Classical Arithmetic Barriers (The Riemann Hypothesis, The Effective abc Bound, and The Strong Goldbach Law) [Formal PDF & TeX Edition]
…indexing, vectorization, embedding, fine-tuning, or any form of machine learning model training (including but not limited to large language models, diffusion models, and reinforcement learning systems) on the text, formulas, or data contained in this work is STRICTLY PROHIBITED without explicit…
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EMERGING DEVELOPMENTS IN MEDICINE AND CONTEMPORARY HEALTHCARE
…decision-making and patient management. Artificial intelligence and machine learning are helping healthcare professionals analyse medical information and identify patterns that may assist in diagnosis and treatment planning. Telemedicine and remote monitoring systems are expanding access to…
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The Valence Order Theory: A Unified Framework of Generative Science Complete Foundational Edition (Parts I–IV) 快の秩序論:生成科学の統一的枠組み ― 基礎理論完全版(第Ⅰ〜Ⅳ部)
…Cognitive science Neuroscience Information theory Complex systems AI / machine learning Social systems Philosophy / Buddhist studies and need a common vocabulary for modelling generative processes. --- Cross-Domain Interpretation of Ω, H, and V Physics / Information Thermodynamics Ω = spatial or…
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Multiple-Aspect Analysis of Semantic Trajectories - First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings
…domain, such as data represetnation models, data management systems, machine learning approaches for anomaly detection, and com- mon pathways identification. The workshop program was completed by the invited talk entitled “Learning from our movements – The mobility data analytics pipeline” by Prof…
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Energy-Efficient Wireless Communication for Smart Cities and IoT
…IoT deployments. Subsequent chapters discuss the growing role of machine learning in energy optimization, the design of energy-efficient MAC protocols, and the integration of edge and fog computing to minimize latency and improve computational efficiency. The book further examines energy harvesting…
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NANOSTRUCTURED MATERIALS FOR ENERGY AND ENVIRONMENTAL APPLICATIONS
…quantum materials, bio-inspired nanostructures, 2D heterostructures, and machine learning—highlight the interdisciplinarity and rapidly evolving nature of this field. We hope this work serves as a valuable reference and catalyst for research, education, and innovation in the domains of energy and…
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Arithmetic Spectral Descent
…4.0 International. Code listings and machine-readable schemas printed in the work, and the numerical scripts and data that accompany it, are additionally available under the Apache License 2.0; see NOTICE.md . Text and data mining reservation. The rightsholder expressly reserves the rights of text…
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BOOK - The Architecture of Permanence From the Riemann Hypothesis to Deterministic Cognitive Engineering
…Author: Frank Morales Aguilera, BEng, MEng, SMIEEE Affiliation: Sovereign Machine Laboratory (SOMALA), Montréal, Canada Year: 2026 Deterministic Seed: 123 This manuscript documents a single mathematical principle— "Fix a sparse reference. Let the rest adapt." —discovered in neuroimaging in 2002 and…
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AI for Holistic Medicine: Understanding Multi-Organ Interactions in Cancers
…that may not be visible through conventional statistical methods. Machine learning and deep learning models are especially valuable because cancer datasets are extremely large and multidimensional. AI systems can detect subtle molecular signatures associated with treatment resistance, early…
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In-depth Before the Regression: A Complete Guide to Validating Data for Linear Models
…The book also bridges the gap between classical statistics and modern machine learning by showing how traditional regression principles remain essential in today’s explainable AI landscape. Readers will appreciate how rigorous statistical thinking complements contemporary AI tools rather than…
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OPERATIONS RESEARCH AND OPTIMIZATION METHOD
…industries. With the rapid development of artificial intelligence, machine learning, data analytics, and intelligent systems, optimization has gained renewed importance in areas such as supply chain management, manufacturing, transportation, healthcare, finance, communication networks, energy…
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OD BESEDE DO PODOBE
…book include: Hypothesis: The central idea is that new tools, especially machine learning, are changing the nature of creative processes, allowing for the generation of images from text descriptions. Process: The exhibition aimed to engage visitors actively rather than passively, using interactive…
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