Artificial Intelligence Principles Applications (110 results)

Condition: 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.

Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: First ] Publisher: ? Chapman and Hall Pub Date: 1/1/1986 Binding: paperback Pages: 349 First edition.

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Hardcover. Condition: Very Good. Very Good Chapman and Hall, 1986 Hardback showing only minor shelfwear.

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Taschenbuch. Condition: 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. …

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Taschenbuch. Condition: Neu. Neuware.

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paperback. Condition: 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.

paperback. Condition: 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. Condition: 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. Condition: 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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Buch. Condition: Neu. Neuware - This textbook aims to introduce radiographers to the basic principles, ethics, governance and clinical applications of Artificial Intelligence (AI) across different medical imaging modalities including advantages, challenges and future work needed for AI implementation. It is an essential resource for all clinical practitioners, educators, academics, researchers and students, working in medical imaging and radiotherapy, providing a coherent, evidence-based, comprehensive guide to current and future practice.Understanding both technical and practical aspects of AI through case studies enables safe and effective patient care, state-of-the-art academic radiography education, enhanced interdisciplinary team communication and collaboration, and appreciation of the accountability involved when employing AI models.This textbook also offers insights into the impact on careers, future roles and staff and patient acceptability. It also stresses person-centredness as paramount for AI integration into clinical radiography in a chapter co-produced with patients. Furthermore, it offers the perspectives, supportive statements and AI resources of different national and international organisations, professional bodies and learned societies. Moreover, a chapter led by industry experts brings a unique view on requirements for AI innovation and commercialisation, aiming to inspire hopeful innovators and entrepreneurs.Finally, the textbook discusses the changing role, responsibilities and competencies of radiographers in a future with AI. It highlights the need to update academic curricula, research priorities and policy to reflect the change of clinical practice and prepare the workforce for a digital future. The editors would like to sincerely thank Dr Charlotte Beardmore, Professor Patrick Brennan, Edward Chan, Samar ElFarra, Dr Kori Stewart, all renowned world leaders in radiography research, education, policy and practice for their kind forewords. This work is written by the global radiography community as an offering for all radiographers.…

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