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Hardcover. Zustand: new. Hardcover. This book presents the proceedings of the 9th edition of Research and Industrial Conclave (RIC 2024) held at the Indian Institute of Technology (IIT) Guwahati, from 9 to 11 August 2024. It features a diverse collection of peer-reviewed research articles, highlighting emerging trends and application-oriented studies across a broad spectrum of science and technology domains. Broadly, this book features research in Chemistry, Physics, Biosciences and Bioengineering, and Biomedical and Health Sciences, capturing the diversity and depth of interdisciplinary exploration. It captures the essence of modern interdisciplinary research and aims to inspire further investigation and collaboration among researchers, academicians, and industry professionals. The contributions in this book is of particular interest to scholars, early-career researchers, and professionals in the fields of applied sciences, engineering, biomedical innovation, materials research, and computational healthcare technologies. This book presents the proceedings of the 9th edition of Research and Industrial Conclave (RIC 2024) held at the Indian Institute of Technology (IIT) Guwahati, from 9 to 11 August 2024. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Hardcover. Zustand: new. Hardcover. The fuzzy logic theory is a branch of mathematics dealing with uncertainty in measurement of any quantity or any estimation. The concept of fuzzy logic uses membership functions. The range of values from various functions or operations determines their construction. A defined rules set can create an application process and membership controls. Fuzzy applications include control system engineering, image processing, power engineering, industrial automation, robotics, consumer electronics and AI. Artificial intelligence, machine learning and expert systems have various applications that address complicated issues. The fuzzy logic inference rules have solved many problems in manufacturing and other industries. Auto engines by Honda, lift control by Mitsubishi Electric, palmtop computers by Hitachi, dishwashers by Matsushita and anti-lock brakes by Nissan are examples of corporations using machine-learning techniques with fuzzy principles. Fuzzy approaches and rule sets interpret computer vision, machine learning and evolution. Fuzzy sets can govern decision rules. Several areas use fuzzy systems in different ways. Computer vision, image processing and meta heuristic evolutionary computing are typical face research applications. Fuzzy theories can optimise and fine-tune the classifier model. Fuzzy theory is used in management, stock market analysis, information retrieval, linguistics, and behavioural science with good results. Fuzzy applications are seen in data mining and stock market prediction. The fuzzy machine learning model in the ensemble pattern accurately classifies and predicts all kinds of tasks. Fuzzy theories help maintain high accuracy. For categorisation and prediction, the ensemble pattern uses fuzzy concepts. The constant growth of fuzzy domain leads to several categorisation and prediction methods. Fuzzy type 2 and intuitionistic fuzzy logic exhibit promise accuracy and versatility. Such fuzzy logic variations can readily overcome the drawbacks of the simple fuzzy model.The book has been developed keeping in view about readers of different categories starting from the students to the professionals and researchers as well. The development of the book and its content layout will be done so meticulously proving the enough insights of the subjects to the readers so that the readers can easily pursue their research concept from the book. Overall the book serve as the purpose of repository of good amount of information and their technical presentations. Such fuzzy logic variations can readily overcome the drawbacks of the simple fuzzy model.The book has been developed keeping in view about readers of different categories starting from the students to the professionals and researchers as well. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: new. Paperback. This book presents multiple facets of cancer biology, including cancer diagnosis, therapeutics to the latest developments in cancer informatics, and applications of artificial intelligence for improving oncologic care. The initial section of the book discusses factors contributing to the development and causes of cancer. The subsequent sections discuss the basic principle of imaging and therapeutic techniques, including MRI, CT, and positron emission tomography (PET) Scan. The book further, explores the implications of cancer chemotherapy on the immune system and emphasizes the effective management of cancer-related pain. Towards the end, it covers recent advancements in cancer treatment, including targeted therapy, immunotherapy, interventional radiotherapy, and stem cell-based therapy. Lastly, it summarizes essential strategic elements of cancer informatics for improving patient outcome. This book presents multiple facets of cancer biology, including cancer diagnosis, therapeutics to the latest developments in cancer informatics, and applications of artificial intelligence for improving oncologic care. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Zustand: Brand New. 250 pages. 9.26x6.11 inches. In Stock.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 552 | Sprache: Englisch | Produktart: Bücher | This book presents multiple facets of cancer biology, including cancer diagnosis, therapeutics to the latest developments in cancer informatics, and applications of artificial intelligence for improving oncologic care. The initial section of the book discusses factors contributing to the development and causes of cancer. The subsequent sections discuss the basic principle of imaging and therapeutic techniques, including MRI, CT, and positron emission tomography (PET) Scan. The book further, explores the implications of cancer chemotherapy on the immune system and emphasizes the effective management of cancer-related pain. Towards the end, it covers recent advancements in cancer treatment, including targeted therapy, immunotherapy, interventional radiotherapy, and stem cell-based therapy. Lastly, it summarizes essential strategic elements of cancer informatics for improving patient outcome.

Hardcover. Zustand: Brand New. 350 pages. 6.30x1.26x9.49 inches. In Stock.

Hardcover. Zustand: new. Hardcover. This book presents the proceedings of the 9th edition of Research and Industrial Conclave (RIC 2024) held at the Indian Institute of Technology (IIT) Guwahati, from 9 to 11 August 2024. It features a diverse collection of peer-reviewed research articles, highlighting emerging trends and application-oriented studies across a broad spectrum of science and technology domains. Broadly, this book features research in Chemistry, Physics, Biosciences and Bioengineering, and Biomedical and Health Sciences, capturing the diversity and depth of interdisciplinary exploration. It captures the essence of modern interdisciplinary research and aims to inspire further investigation and collaboration among researchers, academicians, and industry professionals. The contributions in this book is of particular interest to scholars, early-career researchers, and professionals in the fields of applied sciences, engineering, biomedical innovation, materials research, and computational healthcare technologies. This book presents the proceedings of the 9th edition of Research and Industrial Conclave (RIC 2024) held at the Indian Institute of Technology (IIT) Guwahati, from 9 to 11 August 2024. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: new. Hardcover. The fuzzy logic theory is a branch of mathematics dealing with uncertainty in measurement of any quantity or any estimation. The concept of fuzzy logic uses membership functions. The range of values from various functions or operations determines their construction. A defined rules set can create an application process and membership controls. Fuzzy applications include control system engineering, image processing, power engineering, industrial automation, robotics, consumer electronics and AI. Artificial intelligence, machine learning and expert systems have various applications that address complicated issues. The fuzzy logic inference rules have solved many problems in manufacturing and other industries. Auto engines by Honda, lift control by Mitsubishi Electric, palmtop computers by Hitachi, dishwashers by Matsushita and anti-lock brakes by Nissan are examples of corporations using machine-learning techniques with fuzzy principles. Fuzzy approaches and rule sets interpret computer vision, machine learning and evolution. Fuzzy sets can govern decision rules. Several areas use fuzzy systems in different ways. Computer vision, image processing and meta heuristic evolutionary computing are typical face research applications. Fuzzy theories can optimise and fine-tune the classifier model. Fuzzy theory is used in management, stock market analysis, information retrieval, linguistics, and behavioural science with good results. Fuzzy applications are seen in data mining and stock market prediction. The fuzzy machine learning model in the ensemble pattern accurately classifies and predicts all kinds of tasks. Fuzzy theories help maintain high accuracy. For categorisation and prediction, the ensemble pattern uses fuzzy concepts. The constant growth of fuzzy domain leads to several categorisation and prediction methods. Fuzzy type 2 and intuitionistic fuzzy logic exhibit promise accuracy and versatility. Such fuzzy logic variations can readily overcome the drawbacks of the simple fuzzy model.The book has been developed keeping in view about readers of different categories starting from the students to the professionals and researchers as well. The development of the book and its content layout will be done so meticulously proving the enough insights of the subjects to the readers so that the readers can easily pursue their research concept from the book. Overall the book serve as the purpose of repository of good amount of information and their technical presentations. Such fuzzy logic variations can readily overcome the drawbacks of the simple fuzzy model.The book has been developed keeping in view about readers of different categories starting from the students to the professionals and researchers as well. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: Brand New. 548 pages. 9.25x6.10x1.14 inches. In Stock.

Hardcover. Zustand: new. Hardcover. The fuzzy logic theory is a branch of mathematics dealing with uncertainty in measurement of any quantity or any estimation. The concept of fuzzy logic uses membership functions. The range of values from various functions or operations determines their construction. A defined rules set can create an application process and membership controls. Fuzzy applications include control system engineering, image processing, power engineering, industrial automation, robotics, consumer electronics and AI. Artificial intelligence, machine learning and expert systems have various applications that address complicated issues. The fuzzy logic inference rules have solved many problems in manufacturing and other industries. Auto engines by Honda, lift control by Mitsubishi Electric, palmtop computers by Hitachi, dishwashers by Matsushita and anti-lock brakes by Nissan are examples of corporations using machine-learning techniques with fuzzy principles. Fuzzy approaches and rule sets interpret computer vision, machine learning and evolution. Fuzzy sets can govern decision rules. Several areas use fuzzy systems in different ways. Computer vision, image processing and meta heuristic evolutionary computing are typical face research applications. Fuzzy theories can optimise and fine-tune the classifier model. Fuzzy theory is used in management, stock market analysis, information retrieval, linguistics, and behavioural science with good results. Fuzzy applications are seen in data mining and stock market prediction. The fuzzy machine learning model in the ensemble pattern accurately classifies and predicts all kinds of tasks. Fuzzy theories help maintain high accuracy. For categorisation and prediction, the ensemble pattern uses fuzzy concepts. The constant growth of fuzzy domain leads to several categorisation and prediction methods. Fuzzy type 2 and intuitionistic fuzzy logic exhibit promise accuracy and versatility. Such fuzzy logic variations can readily overcome the drawbacks of the simple fuzzy model.The book has been developed keeping in view about readers of different categories starting from the students to the professionals and researchers as well. The development of the book and its content layout will be done so meticulously proving the enough insights of the subjects to the readers so that the readers can easily pursue their research concept from the book. Overall the book serve as the purpose of repository of good amount of information and their technical presentations. Such fuzzy logic variations can readily overcome the drawbacks of the simple fuzzy model.The book has been developed keeping in view about readers of different categories starting from the students to the professionals and researchers as well. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Zustand: New. 2024th edition NO-PA16APR2015-KAP.

Hardcover. Zustand: new. Hardcover. This book presents multiple facets of cancer biology, including cancer diagnosis, therapeutics to the latest developments in cancer informatics, and applications of artificial intelligence for improving oncologic care. The initial section of the book discusses factors contributing to the development and causes of cancer. The subsequent sections discuss the basic principle of imaging and therapeutic techniques, including MRI, CT, and positron emission tomography (PET) Scan. The book further, explores the implications of cancer chemotherapy on the immune system and emphasizes the effective management of cancer-related pain. Towards the end, it covers recent advancements in cancer treatment, including targeted therapy, immunotherapy, interventional radiotherapy, and stem cell-based therapy. Lastly, it summarizes essential strategic elements of cancer informatics for improving patient outcome. This book presents multiple facets of cancer biology, including cancer diagnosis, therapeutics to the latest developments in cancer informatics, and applications of artificial intelligence for improving oncologic care. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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