Deep Learning Models – alle Bücher und LPs, Seite 2

Machine Learning Models and Architectures for Biomedical Signal Processing

Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates …

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Proceedings of the 2nd Cognitive Mobility Conference

This book features selected papers presented at the 2nd International Conference on Cognitive Mobility which took place on October 19-20, 2023, in Budapest, Bosch Innovation Campus. This conference brough…

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Pan-African Artificial Intelligence and Smart Systems

.- Artificial Intelligence Theory and Methods..- Scalable XAI: Towards Explainable Machine Learning Models in Distributed Systems..- An Ensemble of Yolov5 Models in Real-time Object Detection in Low Resou…

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Deep Reinforcement Learning and Its Industrial Use Cases

This book serves as a bridge connecting the theoretical foundations of DRL with practical, actionable insights for implementing these technologies in a variety of industrial contexts, making it a valuable…

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Robert Osazuwa Ness
Causal AI

From the back cover:Causal AI teaches you how to build machine learning and deep learning models that implement causal reasoning. Discover why leading AI engineers are so excited by causal reasoning, and …

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From Human Attention to Computational Attention

The new edition of this popular book introduces the study of attention, focusing on attention modeling, and addressing such themes as saliency models, signal detection, and different types of signals, inc…

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Intelligent Robots and Drones for Precision Agriculture

This book provides extensive information about smart farming, precision agriculture and the technologies that make them succeed. The authors provide detailed machine learning and deep learning models and …

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Sen Lin, Zhi Zhou, Junshan Zhang, Xu Chen
Edge Intelligence in the Making

This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence. The authors first review the background and present motivation for AI running at the network edg…

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Advances in Databases and Information Systems

.- Keynote Talk..- Data Quality (Assessment) in the Age of AI..- Query Optimization..- Independence Rules: Analysis of Nine Simple Cardinality Estimators and Their Impact on Plan Quality..- Vector Databas…

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Proceedings of ELM 2022

This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learni…

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Praveen Kumar M
Application of Python in the Healthcare Technology

Application of Python in Healthcare Technology: Medical Data Analysis and Developing ML/AI Models provides comprehensive coverage of the Python programming language from a medical-based perspective. With …

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Charles Ravarani, Natasha Latysheva
Deep Learning for Biology

Bridge the gap between modern machine learning and real-world biology with this practical, project-driven guide. Whether your background is in biology, software engineering, or data science, Deep Learning…

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Alp Akpinar
Search for Invisible Decays of the Higgs Boson Produced via Vector Boson Fusion at the LHC with CMS Run 2 data

This thesis reports the latest measurements on one of the leading dark matter searches conducted by the Compact Muon Solenoid (CMS) experiment at CERN, leading to some of the most stringent constraints on…

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Machine Learning in Medical Imaging

Lecture Notes in Computer Science - Band 16241

This book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, on Septembe…

lieferbar ab 19.12.2025.

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Deep Learning in Drug Design

Deep Learning in Drug Design: Methods and Applications summarizes the most recent methods, and technological advances of deep learning for drug design, which mainly consists of molecular representations, …

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Oliver Kramer
Artificial Intelligence Essentials

The book provides a structured introduction to core areas of artificial intelligence, including machine learning, deep learning, large language models, and agent-based systems. It combines theoretical fou…

lieferbar ab 23.12.2025.

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Artificial Intelligence XLI

This two-volume set, LNAI 15446 and LNAI 15447, constitutes the refereed proceedings of the 44th SGAI International Conference on Artificial Intelligence, AI 2024, held in Cambridge, UK, during December 1…

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Artificial Intelligence XLI

This two-volume set, LNAI 15446 and LNAI 15447, constitutes the refereed proceedings of the 44th SGAI International Conference on Artificial Intelligence, AI 2024, held in Cambridge, UK, during December 1…

lieferbar innerhalb 2-3 Wochen

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