Artificial intelligence principles applications (71 Ergebnisse)

Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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Taschenbuch. Zustand: Neu. Neuware - Advanced Sequencing Technologies: Principles, Bioinformatics Workflows, Artificial Intelligence, and Clinical Applications provides a clear and comprehensive introduction to modern DNA and RNA sequencing. The book explains how sequencing technologies evolved, how biological samples are prepared, how sequence data are analyzed, and how genomic information is applied in research, medicine, agriculture, and environmental science.The book begins with the molecular foundations of genetic information and the historical development of DNA sequencing. It then examines first-generation sequencing, short-read next-generation sequencing, long-read sequencing, single-molecule real-time sequencing, and nanopore sequencing. The strengths, limitations, error patterns, and suitable applications of each technology are explained in an accessible academic style.Readers are guided through essential experimental procedures, including sample collection, nucleic-acid extraction, library preparation, adapter ligation, indexing, amplification, size selection, target enrichment, and quality assessment. The bioinformatics sections cover FASTQ, FASTA, BAM, CRAM, and VCF formats, sequencing quality control, read alignment, genome assembly, variant detection, transcriptomics, single-cell RNA sequencing, spatial transcriptomics, and reproducible computational workflows.The book also introduces the growing role of artificial intelligence and machine learning in base calling, error correction, variant classification, biomarker discovery, cell-type annotation, and clinical prediction. Additional chapters discuss multi-omics integration, cloud computing, workflow automation, data management, genomic privacy, and responsible use of artificial intelligence.Practical applications include rare-disease diagnosis, cancer genomics, pathogen surveillance, antimicrobial resistance, pharmacogenomics, microbiome research, agricultural genomics, environmental DNA analysis, and precision medicine.Designed for students, researchers, bioinformaticians, molecular biologists, healthcare professionals, and biotechnology specialists, this book connects sequencing chemistry with experimental design, computational analysis, biological interpretation, and ethical responsibility. It serves as both an educational resource and a practical reference for understanding current and emerging sequencing technologies.…

Zustand: New. 2026. paperback. . . . . .

paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback. Zustand: Brand New. 696 pages. 7.09x1.38x9.45 inches. In Stock.

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Buch. Zustand: Neu. Neuware - Artificial Intelligence in Pharmaceutical Sciences examines the transformation reshaping how medicines are discovered, developed, manufactured, and evaluated in an increasingly data-driven world. As biological systems grow more complex and traditional analytical approaches reach their limits, artificial intelligence is emerging as a foundational scientific framework within pharmaceutical research.This book presents AI not as a collection of tools, but as a discipline that redefines how knowledge is generated and decisions are made under uncertainty. It connects core pharmaceutical principles with computational reasoning, illustrating how chemical, biological, clinical, and real-world data are integrated across the pharmaceutical lifecycle.Emphasizing conceptual clarity over narrow application, the text explores pharmaceutical data ecosystems, learning paradigms, model development, and governance within real scientific and regulatory constraints. It explains why linear research models are no longer sufficient and how intelligent systems enable earlier risk identification and more reliable evidence generation.Importantly, the book addresses the boundaries of artificial intelligence in healthcare, reinforcing the essential role of human judgment, explainability, and accountability. Written for postgraduate students, researchers, and professionals, it offers a rigorous and accessible foundation for understanding AI as a transformative force in pharmaceutical sciences.…

paperback. Zustand: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :1993-10 Pages: 446 Publisher: Tsinghua University Press sheet: 14.25Four Satisfaction guaranteed,or money back.

Taschenbuch. Zustand: Neu. Neuware.

paperback. Zustand: New. Language:Chinese.Paperback.Pub Date:2025-03 Pages:248 Publisher:Chemical Industry Press This book is an introductory textbook on artificial intelligence. It systematically discusses the concepts. principles and applications of artificial intelligence. The main contents include introduction (Chapter 1). knowledge representation and reasoning technology (Chapter 2). machine learning algorithms (Chapters 3-7). computational intelligence theory (Chapters 8-11). expert systems (Chapter 12) and oth.…

paperback. Zustand: New. Paperback.Pub Date:2022-07-01 Pages:159 Language:Chinese Publisher:Tsinghua University Press This book systematically discusses the principles and applications of deep learning image retrieval. The book is divided into two parts: the first part of image retrieval basics (Chapters 1 to 3). which introduces image retrieval technology. deep learning foundation. and deep learning-based image retrieval methods; the second part of image retrieval applications (Chapters 4 to 8) ). taking vehicle ima.…

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2024-03 Pages: 312 Publisher: Machinery Industry Press This book is a basic textbook on the principles and applications of machine vision. It uses OpenCV. Python and MATLAB to implement various machine vision algorithms involved. Through the study of this book. readers can understand and master the principles and applications of machine vision. This book focuses on the combination of theory and practice. There are 13 chapters in total. namely. an introduc.…

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Softcover/Taschenbuch. Zustand: Neu. This book presents the fundamentals and applications of predictive modelling using AI and ML in a structured manner. The first chapter introduces the concept and foundations of predictive modelling. The second chapter discusses data preparation and feature engineering. The third chapter focuses on machine-learning and deep-learning algorithms. The fourth chapter explains model evaluation, interpretation and deployment. The final chapter examines applications, emerging trends, ethical considerations and future directions.The objective is to provide students, researchers, educators and professionals with a conceptual foundation for understanding how predictive models are developed and used in real-world systems. Sprache: Englisch Gewicht in Gramm: 113.…

Paperback. Zustand: Brand New. 332 pages. 9.18x6.12x9.21 inches. In Stock.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2025-04 Pages: 206 Publisher: Posts & Telecom Press This book aims to help readers learn artificial intelligence from scratch. mastering its principles. technologies. and applications. The book consists of 10 chapters. It begins with an overview of artificial intelligence. followed by an in-depth yet accessible explanation of its principles and technologies. including data preprocessing. data visualization. machine learning fundamentals. supervised learni.…

Taschenbuch. Zustand: Neu. Neuware.

Zustand: New.

Zustand: New. 2025. 1st Edition. paperback. . . . . .

paperback. Zustand: New. Language:Chinese.Paperback. Publisher: Higher Education Press. This book introduced the basic concepts of artificial intelligence. uncertain reasoning side.

Taschenbuch. Zustand: Neu. Neuware - Fundamentals of Artificial Intelligence in Medicine is a comprehensive medical textbook for students, clinicians, healthcare educators, informatics professionals, and medical leaders who want to understand how artificial intelligence is reshaping modern healthcare.Written with a clear academic voice, this book explains the foundations of AI in medicine, including machine learning, deep learning, clinical decision support, medical imaging, natural language processing, digital diagnostics, genomics, therapeutics, ethics, privacy, safety, validation, bias, workflow integration, and responsible implementation.The book connects technical concepts to real clinical practice, showing how AI can support diagnosis, risk prediction, documentation, imaging interpretation, personalized treatment, patient safety, and healthcare system improvement. Rather than treating AI as a replacement for clinicians, it presents artificial intelligence as a clinical tool that must be understood, validated, governed, and safely integrated into patient care.Inside, readers will find practical explanations of medical data sources, algorithmic reasoning, clinical AI workflows, model evaluation, bias reduction, human factors, governance, and future directions in responsible medical intelligence. Each chapter is structured to support deep learning, practical application, and professional understanding.Ideal for medical students, nursing students, clinicians, healthcare administrators, digital health professionals, biomedical science learners, and anyone preparing for the future of AI-enabled medicine, this book provides a strong foundation for understanding both the promise and the responsibilities of artificial intelligence in healthcare.…

Paperback. Zustand: Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock.