Quasim mohammad (100 résultats)

XVII, 254 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Big Data, 71. Sprache: Englisch. …

paperback. Etat : 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.

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Paperback. Etat : New. The automated learning of machines characterizes machine learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to obtain biological data. It involves the collection, retrieval, storage, manipulation, and modeling of data for analysis or prediction made using customized software. Previously, comprehensive programming of bioinformatical algorithms was an extremely laborious task for such applications as predicting protein structures. Now, algorithms using ML and deep learning (DL) have increased the speed and efficacy of programming such algorithms.Applications of Machine Learning and Deep Learning on Biological Data is an examination of applying ML and DL to such areas as proteomics, genomics, microarrays, text mining, and systems biology. The key objective is to cover ML applications to biological science problems, focusing on problems related to bioinformatics. The book looks at cutting-edge research topics and methodologies in ML applied to the rapidly advancing discipline of bioinformatics. ML and DL applied to biological and neuroimaging data can open new frontiers for biomedical engineering, such as refining the understanding of complex diseases, including cancer and neurodegenerative and psychiatric disorders. Advances in this field could eventually lead to the development of precision medicine and automated diagnostic tools capable of tailoring medical treatments to individual lifestyles, variability, and the environment.Highlights include:Artificial Intelligence in treating and diagnosing schizophreniaAn analysis of ML's and DL's financial effect on healthcareAn XGBoost-based classification method for breast cancer classificationUsing ML to predict squamous diseasesML and DL applications in genomics and proteomicsApplying ML and DL to biological data.…

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Paperback. Etat : Brand New. 210 pages. 9.18x6.12x9.21 inches. In Stock.

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Paperback. Etat : New. The automated learning of machines characterizes machine learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to obtain biological data. It involves the collection, retrieval, storage, manipulation, and modeling of data for analysis or prediction made using customized software. Previously, comprehensive programming of bioinformatical algorithms was an extremely laborious task for such applications as predicting protein structures. Now, algorithms using ML and deep learning (DL) have increased the speed and efficacy of programming such algorithms.Applications of Machine Learning and Deep Learning on Biological Data is an examination of applying ML and DL to such areas as proteomics, genomics, microarrays, text mining, and systems biology. The key objective is to cover ML applications to biological science problems, focusing on problems related to bioinformatics. The book looks at cutting-edge research topics and methodologies in ML applied to the rapidly advancing discipline of bioinformatics. ML and DL applied to biological and neuroimaging data can open new frontiers for biomedical engineering, such as refining the understanding of complex diseases, including cancer and neurodegenerative and psychiatric disorders. Advances in this field could eventually lead to the development of precision medicine and automated diagnostic tools capable of tailoring medical treatments to individual lifestyles, variability, and the environment.Highlights include:Artificial Intelligence in treating and diagnosing schizophreniaAn analysis of ML's and DL's financial effect on healthcareAn XGBoost-based classification method for breast cancer classificationUsing ML to predict squamous diseasesML and DL applications in genomics and proteomicsApplying ML and DL to biological data.…

Hardcover. Etat : 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.

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Taschenbuch. Etat : Neu. System Assurances | Modeling and Management | Prashant Johri (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Academic Press | EAN 9780323902403 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu. …

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Hardcover. Etat : new. Hardcover. This book explores the intersection of artificial intelligence (AI) and sustainable development within social economies. The volume is contributed by leading experts in both AI and sustainability and delves into the potential of AI to catalyze positive change in economic systems while addressing pressing social and environmental challenges. In addition, the book provides a comprehensive overview of how AI technologies can be harnessed to optimize resource allocation, enhance decision-making processes, and foster inclusive economic growth. The volume also emphasizes the role of AI in promoting sustainability, offering insights into innovative applications such as smart resource management, climate modelling, and the creation of eco-friendly technologies. Furthermore, the book discusses ethical considerations surrounding the use of AI in social economies and proposes frameworks for responsible AI deployment. Through case studies and real-world examples, the book illustrates how AI-driven solutions can drive environmental conservation, reduce inequality, and contribute to the overall well-being of communities. This book is a valuable resource for policymakers, academics, and industry professionals seeking to leverage AI as a powerful tool for building a more sustainable and equitable future. This book explores the intersection of artificial intelligence (AI) and sustainable development within social economies. The volume is contributed by leading experts in both AI and sustainability and delves into the potential of AI to catalyze positive change in economic systems while addressing pressing social and environmental challenges. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Kartoniert / Broschiert. Etat : New. Provides software reliability modeling, simulation and optimization Offers methodologies, tools and practical applications of reliability modeling and resources allocation Presents cost modeling and optimization associated with co.

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paperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.