Modibbo Umar Muhammad (62 results)

Paperback. Condition: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.

Taschenbuch. Condition: Neu. Neuware -Information sharing remains an important component of human co-existence as actions and reactions depend on effective information or otherwise. Interaction, understanding or conflict requires one form of information or the other. Organizational communication/information sharing becomes essential especially in complex societies like hospitals where information (given to the sick or relatives) eases or raises tension depending on how it was related. Goldhaber (2005) sees effective information as the lifeblood of an organization; the glue that binds the organization, the oil that smoothes the organization¿s functions, the thread that ties the system together, the force that pervades the organization, and the binding agent that cements all relationships.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch.

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Condition: New.

Hardcover. Condition: new. Hardcover. This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, and social responsibility.This book:Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computingPresents a comparative analysis of machine learning algorithms for power consumption predictionDiscusses a machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environmentIllustrates a data-driven optimization concept for modeling environmental and economic sustainabilityExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsThe text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering. This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and social responsibility. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 580.

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Hardcover. Condition: new. Hardcover. This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, and social responsibility.This book:Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computingPresents a comparative analysis of machine learning algorithms for power consumption predictionDiscusses a machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environmentIllustrates a data-driven optimization concept for modeling environmental and economic sustainabilityExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsThe text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering. This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and social responsibility. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condition: Neu. Neuware -El intercambio de información sigue siendo un componente importante de la coexistencia humana, ya que las acciones y reacciones dependen de una información eficaz o no. La interacción, el entendimiento o el conflicto requieren una u otra forma de información. La comunicación organizativa y el intercambio de información resultan esenciales sobre todo en sociedades complejas como los hospitales, donde la información (facilitada a los enfermos o a los familiares) alivia o aumenta la tensión en función de cómo se haya transmitido. Goldhaber (2005) considera que la información eficaz es la savia de una organización; el pegamento que une a la organización, el aceite que suaviza las funciones de la organización, el hilo que une el sistema, la fuerza que impregna la organización y el aglutinante que cimenta todas las relaciones.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Spanisch.

Hardcover. Condition: new. Hardcover. This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, and social responsibility.This book:Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computingPresents a comparative analysis of machine learning algorithms for power consumption predictionDiscusses a machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environmentIllustrates a data-driven optimization concept for modeling environmental and economic sustainabilityExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsThe text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering. This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and social responsibility. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: Brand New. 256 pages. 9.18x6.12x9.21 inches. In Stock.

Hardcover. Condition: new. Hardcover. This book comprehensively discusses natureinspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the Internet of Things and multiobjective optimization under Fermatean hesitant fuzzy and uncertain environment.This book:Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the fuzzy inference system in ant colony optimization for traveling salesman problemPresents an overview of artificial intelligence (AI) and explainable AI decisionmaking (XAIDM) and illustrates a datadriven optimization concept for modeling environmental and economic sustainabilityDiscusses machine learningbased multiobjective optimization technique for load balancing in integrated fogcloud environmentExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsDiscusses sustainable transit of hazardous waste, green fractional transportation system, perishable inventory, Mestimation of functional regression operator, and intuitionistic fuzzy sets applicationsThe text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, computer science, information and communication technology, and industrial engineering. The book discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques and covers important topics such as the use of machine learning and the internet of things, multi-objective optimization under Hesitant Fermatean Fuzzy and Uncertain environment. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Condition: New. 1st edition NO-PA16APR2015-KAP.

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Condition: As New. Unread book in perfect condition.

Condition: New.

Hardcover. Condition: new. Hardcover. This book comprehensively discusses natureinspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the Internet of Things and multiobjective optimization under Fermatean hesitant fuzzy and uncertain environment.This book:Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the fuzzy inference system in ant colony optimization for traveling salesman problemPresents an overview of artificial intelligence (AI) and explainable AI decisionmaking (XAIDM) and illustrates a datadriven optimization concept for modeling environmental and economic sustainabilityDiscusses machine learningbased multiobjective optimization technique for load balancing in integrated fogcloud environmentExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsDiscusses sustainable transit of hazardous waste, green fractional transportation system, perishable inventory, Mestimation of functional regression operator, and intuitionistic fuzzy sets applicationsThe text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, computer science, information and communication technology, and industrial engineering. The book discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques and covers important topics such as the use of machine learning and the internet of things, multi-objective optimization under Hesitant Fermatean Fuzzy and Uncertain environment. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: New. In.

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: new. Hardcover. This book comprehensively discusses natureinspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the Internet of Things and multiobjective optimization under Fermatean hesitant fuzzy and uncertain environment.This book:Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the fuzzy inference system in ant colony optimization for traveling salesman problemPresents an overview of artificial intelligence (AI) and explainable AI decisionmaking (XAIDM) and illustrates a datadriven optimization concept for modeling environmental and economic sustainabilityDiscusses machine learningbased multiobjective optimization technique for load balancing in integrated fogcloud environmentExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsDiscusses sustainable transit of hazardous waste, green fractional transportation system, perishable inventory, Mestimation of functional regression operator, and intuitionistic fuzzy sets applicationsThe text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, computer science, information and communication technology, and industrial engineering. The book discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques and covers important topics such as the use of machine learning and the internet of things, multi-objective optimization under Hesitant Fermatean Fuzzy and Uncertain environment. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: Brand New. 448 pages. 9.18x6.12x9.21 inches. In Stock.