Future generation information systems - 9-teilige buchserie (45 Ergebnisse)

Zustand: New. pages cm.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 240 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 270 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 328 pages. 9.18x6.12 inches. In Stock.

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Paperback. Zustand: Brand New. 288 pages. 6.14x0.63x9.21 inches. In Stock.

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hardcover. Zustand: Fine.

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Zustand: New. C Kishor Kumar Reddy is currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than 10 years. .

Zustand: New. Kishor Kumar Reddy C is currently working as an associate professor in the Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience.

hardcover. Zustand: Fine.

Taschenbuch. Zustand: Neu. Neuware - The text comprehensively discusses the representation of visual data and design principles of interactive and dynamic dashboards. It further covers the theoretical concept of inference and machine learning algorithms for making the concepts clear to the reader. The book illustrates important topics such as data testing a parametric hypothesis, data testing a non-parametric hypothesis, exploratory data analysis, outlier detection and interpretation.This book: - Covers various data analysis tools such as KNIME, RapidMiner, Rstudio, Grafana, and Redash - Discusses the theoretical concept of inference and machine learning algorithms for designing dynamic dashboards - Presents statistical modelling techniques with an emphasis on pattern mining, and pattern relationships - Explains the problem of efficient retrieval of similar time series in large databases to enrich the knowledge of the readers to effectively handle various real-time datasets - Illustrates dimensionality reduction techniques such as principal component analysis, linear discriminant analysis, singular value decomposition, and piecewise vector quantized approximation It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology. …

Taschenbuch. Zustand: Neu. Neuware - In the ever-evolving landscape of cancer treatment, the fusion of artificial intelligence (AI) with medical science marks a groundbreaking shift toward more precise, efficient, and personalized healthcare. Artificial Intelligence Revolutionizing Cancer Care: Precision Diagnosis and Patient-Centric Healthcare delves into the transformative power of AI, offering a comprehensive exploration of its role in enhancing cancer diagnosis, treatment, and patient management. This edited volume brings together leading experts and researchers who illuminate the latest advancements in AI technologies applied to oncology. From machine learning algorithms that predict cancer progression to sophisticated imaging techniques that improve diagnostic accuracy, this book covers a spectrum of innovations reshaping cancer care. Key highlights include precision diagnosis, uncovering how AI-driven tools are revolutionizing the early detection and accurate classification of various cancer types, leading to better patient outcomes; patient-centric approaches, exploring the shift toward personalized medicine, where AI tailors treatment protocols to individual patient profiles, ensuring more effective and targeted therapies; and ethical and practical considerations, gaining insights into the ethical, practical, and regulatory challenges of integrating AI in healthcare, emphasizing the need for patient privacy and data security. Additionally, the book looks ahead to the potential future applications of AI in oncology, including predictive analytics, robotic surgery, and beyond. Artificial Intelligence Revolutionizing Cancer Care is an essential resource for medical professionals, researchers, and students seeking to understand the intersection of AI and oncology. It offers a visionary perspective on how cutting-edge technology is poised to enhance patient care and transform the fight against cancer.This book - focuses on the critical intersection of artificial intelligence and cancer diagnosis within the healthcare sector - emphasizes the real-world impact of artificial intelligence in improving cancer detection, treatment, and overall patient care - covers artificial intelligence algorithms, machine learning techniques, medical image analysis, predictive modeling, and patient care applications - explores how artificial intelligence technologies enhance the patient's experience, resulting in better outcomes and reduced healthcare disparities - provides readers with an understanding of the mathematics underpinning machine learning models, including decision trees, support vector machines, and deep neural networks It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, and information technology. …

Taschenbuch. Zustand: Neu. Neuware - What are the means to create a paradigm shift from conventional to intelligent companies Industry 6.0: Technology, Practices, Challenges and Applications shows how integrating Industry 6.0 technology with data creates a framework for that shift. The book discusses the limitations, pitfalls, and open research questions in Industry 6.0, as well as the most recent advances, architectures, frameworks, applications, and novel practices, methods, and techniques. These are vital for resolving intelligent Internet of Things issues. There is a special focus on sustainable growth, humanization and environmentally friendly intelligent system applications, and an emphasis on the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing (NLP).Features: - Presents the latest trends in the fields of intelligent systems, machine intelligence, deep learning, and Industrial Internet of Things for smart environments. - Discusses securing the mobile ad hoc network (MANET) by detecting the Intrusions using CSO and XGBoost model. - Highlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domains. - Focuses on intelligent process manufacturing, automation using robotics, development of robotic appliances, and smart manufacturing. - Covers data-driven agriculture, crop disease prediction, drip irrigation systems, pesticide and fertilizer sprinkling using the Industrial Internet of Things, and water estimation systems. With many contemporary articles from both scientists and practitioners working in many fields where intelligent systems and the IIoT can break new ground, the text is assembled to aim at a readership that includes researchers, statisticians, practitioners, scientists, and developers.…

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Taschenbuch. Zustand: Neu. Neuware - This reference text offers a relevant and thorough examination of the overlap between neuroscience and federated learning. It explores the complexities of utilizing federated learning algorithms for MRI data analysis, demonstrating how to improve the accuracy and efficiency of diagnostic procedures. The book covers topics such as the prediction and diagnosis of Alzheimer's disease using neural networks and ensuring data privacy and security in federated learning for neural disorders.This book: - Provides a thorough examination of the transformative impact of federated learning on the diagnosis, treatment, and understanding of brain disorders - Focuses on combining federated learning with magnetic resonance imaging (MRI) data, which is a fundamental aspect of contemporary neuroimaging research - Examines the use of federated learning as a promising approach for collaborative data analysis in healthcare, with a focus on maintaining privacy and security - Explores the cutting-edge field of healthcare innovation by examining the interface of neuroscience and machine learning, with a specific focus on the breakthrough technique of federated learning - Offers a comprehensive understanding of how federated learning may transform patient care, covering both theoretical ideas and practical examples It is primarily written for graduate students and academic researchers in electrical engineering, electronics, and communication engineering, computer science and engineering, and biomedical engineering.…

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Zustand: New. Anoop V. S is an Assistant Professor of Information Systems and Analytics at Thiagarajar School of Management (Autonomous), Madurai, India. In his previous roles, he worked as a Research Officer at the School of Digital Sciences, Kerala University of Dig.

Zustand: New. In English.

Zustand: New. In English.