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

Krish W. Ramadurai, Abhirup Banerjee
Machine Learning-Driven Rational Design in Nanomedicine

This book explores how machine learning is transforming nanomedicine, with a focus on the rational design of lipid nanoparticles (LNPs) for mRNA-based therapies. Moving beyond traditional, labor-intensive…

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Timon Rabczuk, Cosmin Anitescu, Somdatta Goswami, Xiaoying Zhuang
Scientific Machine Learning with Engineering Applications

Studies in Systems, Decision and Control - Band 667

This book equips readers with a rigorous and practical framework for solving complex engineering problems directly from governing equations using modern machine learning techniques. It bridges established…

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Mashallah Rezakazemi, Kiran Mustafa, Rao Muhammad Mahtab Mahboob
Machine Learning for Membrane Separation Applications

Machine Learning for Membrane Separation Applications covers the importance of polymeric membranes in separation processes and explains how machine learning is taking these processes to the next level. As…

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Machine Learning and Its Applications to Healthcare

Mathematics for Sustainable Developments

This book offers a comprehensive collection of 35 research contributions on the transformative role of soft computing techniques such as fuzzy logic, neural networks, genetic algorithms, and hybrid method…

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IoT and Machine Learning for Smart Applications

This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine lea…

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Machine Learning and AI Technology for Agricultural Applications

Machine Learning and AI Technology in Agricultural Applications offers a comprehensive overview of how artificial intelligence and machine learning are transforming the agricultural industry. By delving i…

lieferbar ab 1.11.2026.

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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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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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Marc Scheufen, Armin Mertens
Datenbearbeitung und -visualisierung mit R

Einführung.- Daten bearbeiten und strukturieren mit tidyverse.- Daten visualisieren mit ggplot.- Weiterführende Visualisierungen mit ggplot, gganimate, stargazer und sf für Geodaten.- Einführung in simula…

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Internet of Things enabled Machine Learning for Biomedical Applications

The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and analyzes…

lieferbar ab 20.7.2026.

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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 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 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

This unique practical reference for protein scientist shows how to harness the power of machine learning for quick and efficient full quantum mechanical calculations of protein structures and properties.

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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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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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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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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 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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