Machine Learning Applications In Medicine – alle Bücher und CDs, Seite 2

John Attfield
Chemistry, General, Medical, and Pharmaceutical: Including the Chemistry of the U.S. Pharmacopoeia: A Manual on the General Principles of the Science, and Their Applications in Medicine and Pharmacy

Reprint of the original, first published in 1883. The Antigonos publishing house specialises in the publication of reprints of historical books. We make sure that these works are made available to the pub…

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Machine Learning in Finance

Contributions to Finance and Accounting

This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies. As technological advancement evolves at an unpredictable pac…

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Advancements in Machine Learning

Communications in Computer and Information Science - Band 2538

This CCIS 2538 volume constitutes the proceedings of First and Second International Conference on Advancements in Machine Learning, ICCAML 2024, in Pune, India, during February 28--29, 2024.The 19 full pa…

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Machine Learning in Nanoelectronics

Bridge the gap between advanced algorithms and hardware innovation with this essential book, which details how machine learning is being used to overcome challenges in nanoelectronics while laying the cri…

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Machine Learning in Medical Imaging

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…

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Jinjin Li, Yanqiang Han
Machine Learning in Protein Science

Harness the power of machine learning for quick and efficient calculations of protein structures and propertiesMachine Learning in Protein Science is a unique and practical reference that shows how to emp…

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Xiang-Sheng Wang, Chisheng Wang
Machine Learning in Data Processing

Forum for Interdisciplinary Mathematics

Machine learning has become a cornerstone of modern data-driven science and technology. For mathematics students and researchers, understanding the mathematical foundations behind machine learning is esse…

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Debashish Das, Ali Safaa Sadiq, Seyedali Mirjalili
Optimization Algorithms in Machine Learning

Engineering Optimization: Methods and Applications

This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, g…

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Machine Learning in Water Treatment

Machine Learning in Water Treatment is a must-have for anyone interested in how artificial intelligence is transforming water treatment, offering practical insights, case studies, and a deep dive into cut…

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Machine Learning and Deep Learning in Drug Design

Machine learning (ML) and deep learning (DL) are reshaping the landscape of drug design. This comprehensive volume explores how these technologies are applied across the entire drug discovery pipeline--fr…

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Advances in Machine Intelligence and Computer Science Applications

Lecture Notes in Networks and Systems - Band 1882

This book belongs to a recognized series dedicated to presenting recent advances and state-of-the-art research in artificial intelligence and its applications within computer science. It aims to provide a…

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Machine Learning in Astronomy (IAU S368)

Proceedings of the International Astronomical Union Symposia and Colloquia

Today's astronomical observatories are generating more data than ever, from surveys to deep images. Machine learning methods can be a powerful tool to harness the full potential of these new observatories…

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Kai Li, Xin Yuan, Wei Ni
Security and Resilience in Distributed Machine Learning

Springer Series in Reliability Engineering

This book offers a comprehensive exploration of federated learning (FL), a novel approach to decentralized, privacy-preserving machine learning. This book delves into the resilience and security challenge…

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Advances in Artificial Intelligence and Machine Learning

Lecture Notes in Electrical Engineering - Band 1264

This book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning-ICAAAIML 2023. The book covers rese…

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Signal Processing in Medicine and Biology

Signal Processing in Medicine and Biology: Applications of Deep Learning to the Health Sciences presents expanded versions of selected papers from the 2023 IEEE Signal Processing in Medicine and Biology S…

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

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Advances in Artificial Intelligence and Machine Learning

This book features papers from the International Conference on Emerging Research in Computing, Information, Communication, Artificial Intelligence, and Machine Learning (ERCICAM 2024). It serves as an int…

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

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Subhashis Mallick
Computation, Optimization, and Machine Learning in Seismology

AGU Advanced Textbooks

A textbook applying fundamental seismology theories to the latest computational toolsThe goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these …

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The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA'25), Volume 2

Lecture Notes on Data Engineering and Communications Technologies - Band 274

This volume explores the forefront of AI innovation in building secure, sustainable, and intelligent systems. From adaptive blockchain solutions for IoT and advances in photonic quantum computing to DNS-b…

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