367 hasil untuk machine learning
Menampilkan 321–340 · 1,09 detik · RSS
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Development of express methods for analysis of oil refining products based on vibrational spectroscopy
…по многомерному анализу спектральных данных и по машинному обучению (machine learning). Предложенные экспериментальные методики могут быть использованы для прогнозирования состава и качества нефтепродуктов, а также для их классификации.
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Découvrir l'IA en s'amusant
…ainsi évoqués les problèmes de biais dans la constitution des modèles de machine learning et les coûts environnementaux du développement de l'IA.
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Voice over IP Networks Monitoring and intrusion detection: A new approach to challenges and solutions
…We reinforce existent security mechanisms by working on three axes: a machine learning approach for VoIP signaling traffic monitoring, a VoIP specific honeypot and a security event correlation model for intrusion detection.
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Aesthetics in digital photography
…is paid to artificial intelligence techniques, taking advantage of machine learning methods and large databases.
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Analytical Decision Making and Data Envelopment Analysis
…The book covers a wide range of topics, including integrating DEA with machine learning techniques, performance evaluation in diverse sectors like banking and civil engineering, and using DEA in managerial decision-making. It also examines data mining during the Covid-19 pandemic and the…
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Unlocking the Potential: Artificial Intelligence in Education
…Intelligence in Education, explores how AI is reshaping teaching, learning, and administrative processes. From personalized learning algorithms to intelligent tutoring systems, AI offers unprecedented opportunities to enhance educational outcomes while addressing long-standing challenges such as…
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The Universal Computational Limit: A Thermodynamic and Information-Theoretic Resolution of P vs NP
…capacity allowed in spacetime; theoretically transforming the computing machine into a black hole before reaching the solution. This perspective reveals how P≠NP is not merely a gap in our algorithms, but rather a "cosmic lock" that protects the stability of the spacetime fabric from thermal…
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Digital identities in tension : between autonomy and control
…in many spheres: digital identity management systems, Big Data and machine learning, the Internet of Things, smart cities, etc. The study of these transformations is one of the major conditions for more responsible modes of data governance to emerge.
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Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications: Dedicated to Bernadette Bouchon-Meunier
…decision and optimization theory, fuzzy databases, soft machine learning, summarization, interpretability and XAI. Moreover, several application-based papers are included, e.g. on image processing, semantic web and intelligent tutoring systems. This book is dedicated to Bernadette Bouchon-Meunier…
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Artificial Intelligence for High Energy Physics
The Higgs boson discovery at the Large Hadron Collider in 2012 relied on boosted decision trees. Since then, high energy physics (HEP) has applied modern machine learning (ML) techniques to all stages of the data analysis pipeline, from raw data processing to statistical analysis. The unique…
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Handbook of Mixture Analysis
…more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time.The Handbook of Mixture Analysis is a very timely publication, presenting a broad overview of the methods and applications of…
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Cutting-Edge Progress in Precision Nanotherapeutics and Intelligent Drug Delivery Platforms: Advances in Targeted Nanocarriers, Immunomodulation, and AI-Optimized Biomedical Applications
ChaptersChapter 1: AI-Optimized DNA Nanostructures for Cancer Targeting: Responsive Nanorobots with Adaptive Payload Release for Precision Oncology (Sina Salem Ahim)Chapter 2: Machine Learning-Enhanced Nanoparticle Systems for Dynamic Therapeutics: Predictive Optimization of Drug Kinetics and…
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Advanced Nanomedicine and Targeted Therapeutic Systems: Precision Drug Delivery, Nanorobotics, and Molecular Diagnostics
ChaptersChapter 1: Smart Nanoparticle Systems with AI-Controlled Drug Release: Machine Learning-Guided Therapeutic Delivery and Real-Time Monitoring (Kiana Gholizad Monavari)Chapter 2: Nanomedicine in Gastrointestinal Internal Medicine: Targeted Therapeutics and Diagnostics for Digestive Diseases…
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Using airborne lidar bathymetry to map coastal hydrodynamic processes
International audience
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Brain-Computer Interfaces Handbook: Technological and Theoretical Advance
This handbook is a valuable resource to anyone involved with improvement of people's lives by replacing, restoring, supplementing and improving motor action, and understanding the neural bases of such functions. While there are several other resources available, there is no handbook such as this…
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Frontiers in Computational Neuroscience and Advanced Brain-Computer Interface Systems: Innovations in Neural Networks, Optogenetics, and Cognitive Augmentation Technologies
…Intelligence-Driven Innovations in Neural Signal Processing: Deep Learning Frameworks for Real-Time Data Interpretation in Advanced Brain-Computer Interface Systems (Yasamin Pishkari) Chapter 5: Immunotherapeutic Advances in Anti-Alzheimer Vaccines: Computational Modeling of Neural Immune Responses…
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The Road towards 6G: Opportunities, Challenges, and Applications: A Comprehensive View of The Enabling Technologies
…the 6G networks is the massive use of Artificial Intelligence (AI) and Machine Learning (ML) technologies, equipping the offenders with more powerful guns to create attacks. This chapter is without any pretension of being exhaustive and its main objective is above all to provide food for thought on…
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Advances in Knowledge Discovery and Management
This book comprises a distinguished collection of cutting-edge scientific contributions. Encompassing a wide range of subjects, it delves into machine learning, data mining, text analysis, data visualization, knowledge management, and more. The included articles are expanded versions of carefully…
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Event Detection in Time Series
…model-based), (iii) methods (theory-driven, data-driven), (iv) machine learning processing (supervised, semi-supervised, unsupervised), and (v) data management (ETL process). This taxonomy is weaved throughout chapters dedicated to the specific event types: anomaly detection, change-point, and…
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The Christoffel-Darboux Kernel for Data Analysis
The Christoffel–Darboux kernel, a central object in approximation theory, is shown to have many potential uses in modern data analysis, including applications in machine learning. This is the first book to offer a rapid introduction to the subject, illustrating the surprising effectiveness of a…