subrata sarkar (21 Ergebnisse)

Zustand: New. pp. 446.

Zustand: New.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Soft cover. Zustand: New. 2nd Edition. Nursing continues to evolve into a healthcare profession that is ever growing in complexity. The need for pharmacology education continues to increase changes in the nurses' dynamic role. Pharmacology for Graduate Nurses is a student-friendly, clinical-based, examination-oriented, in-depth pharmacology textbook for nurses involved in patient care in the clinical field as well as in the community. The book presents in detail the courses laid down by the revised nursing syllabus for undergraduate nursing students.

Zustand: New.

8vo. XXII, 352 S. OKt.-Einband. Einband etwas gebrauchs- und knickspurig, Seiten hinten teilweise leicht knickspurig, sonst altersgemäß gut.

Zustand: New. In.

Zustand: New. In.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 600 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Taschenbuch. Zustand: Neu. Information and Communications Technology in Primary School Education | Subrata Sarkar (u. a.) | Taschenbuch | xiii | Englisch | 2018 | Springer | EAN 9783319825823 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Hardcover. Zustand: Brand New. 253 pages. French language. 9.50x6.25x0.75 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book illustrates approaches for implementing ICT in primary education. Through different initiatives and case studies, the book shows different approaches for successful implementation of ICT. While it gives details of theoretical concepts related to ICT, it also provides live examples from different initiatives as to how literacy can be achieved through customized implementation strategy. The book illustrates different ICT policies that have been implemented with varying degree of success. It also demonstrates different approaches that would be of interest to practitioners.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book illustrates approaches for implementing ICT in primary education. Through different initiatives and case studies, the book shows different approaches for successful implementation of ICT. While it gives details of theoretical concepts related to ICT, it also provides live examples from different initiatives as to how literacy can be achieved through customized implementation strategy. The book illustrates different ICT policies that have been implemented with varying degree of success. It also demonstrates different approaches that would be of interest to practitioners.

Zustand: new.

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

Taschenbuch. Zustand: Neu. Applications of Fuzzy Logic in Decision Making and Management Science | Subrata Jana (u. a.) | Taschenbuch | Information Systems Engineering and Management | vii | Englisch | 2026 | Springer | EAN 9783031777219 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book bridges the gap between theoretical modelling and everyday problems by showing the application of fuzzy logic to address those problems that are complex, uncertain and human-centric. Its innovative approach stresses real applications in various kinds of domains, promoting interdisciplinary understanding and innovation. In general, it deals with engineering, management, social systems and decision-making scenarios, establishing itself as an extremely useful tool for researchers, practitioners and graduate students looking for workable methodologies. It finds application for problem-solving in academic, industrial and policymaking circles, thus making it useful for study as well as for implementation.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Hardcover. Zustand: Brand New. 487 pages. 9.25x6.10x9.21 inches. In Stock.