Intelligent System Algorithms and Applications in Science and Technology, Pathak Sunil, Bhatt Pramod Kumar, Singh Sanjay Kumar
Автор: Cormen, Thomas H. Название: Introduction to Algorithms 4E ISBN: 026204630X ISBN-13(EAN): 9780262046305 Издательство: MIT Press Рейтинг: Цена: 25394.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive update of a widely used textbook, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Since the publication of the first edition, Introduction to Algorithms has become a widely used text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout, with new chapters on matchings in bipartite graphs, online algorithms, and machine learning, and new material on such topics as solving recurrence equations, hash tables, potential functions, and suffix arrays. Each chapter is relatively self-contained, presenting an algorithm, a design technique, an application area, or a related topic, and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The fourth edition has 140 new exercises and 22 new problems, and color has been added to improve visual presentations. The writing has been revised throughout, and made clearer, more personal, and gender neutral. The book's website offers supplemental material.
Описание: Dit boek beschrijft de methode CATS CM, versie 4 voor het managen van contracten en is toe te passen binnen private en publieke organisaties, bij opdrachtgevers en leveranciers.Contractmanagement is het realiseren van de met het contract beoogde doelstellingen door tijdens de uitvoeringsfase van een contract, proactief invulling te geven aan alle contractueel vastgelegde verantwoordelijkheden, verplichtingen, procedures, afspraken, voorwaarden en tarieven, het management van de risico`s, het oplossen van alle onduidelijkheden, tegenstrijdigheden en hiaten en het verzorgen van de gewenste wijzigingen in het contract. CATS CM(R) biedt een methodische aanpak voor contractmanagement. Het beschrijft de uitgangspunten, de rollen, de aandachtpunten voor de contractmanager en de te volgen werkwijze. Naast een beschrijving van de methode biedt CATS CM versie 4 ook handvatten voor de implementatie van contractmanagement zowel voor beleid als proces.Een groot aantal organisaties heeft CATS CM inmiddels geselecteerd als basis voor hun contractmanagementproces. Mede op basis van hun ervaringen met CATS CM is deze nieuwe versie 4 ontstaan. CATS CM 4 gaat net als voorgaande edities uit van het standpunt dat het managen van een contract in uitvoering, aan beide kanten van het contract (opdrachtgever en leverancier) sterke overeenkomsten vertoont en dus het best in samenhang wordt beschreven. Dit boek is bedoeld voor iedereen die verantwoordelijk is voor, dan wel te maken heeft met contracten in uitvoering: contractmanagers, businessmanagers, deliverymanagers, projectmanagers, servicemanagers, facilitymanagers, inkopers, inkoopmanagers, compliance managers, risicomanagers, accountmanagers, salesmanagers en HR-managers, hun directeuren en stuurgroepleden aan beide zijden van het contract.
Описание: When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame.
Автор: Anand J. Kulkarni; Suresh Chandra Satapathy Название: Optimization in Machine Learning and Applications ISBN: 981150993X ISBN-13(EAN): 9789811509933 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making.
Автор: Hassanien Название: Enabling Machine Learning Applications in Data Science ISBN: 981336131X ISBN-13(EAN): 9789813361317 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21-23 June 2020.
Автор: Oleg Granichin; Zeev (Vladimir) Volkovich; Dvora T Название: Randomized Algorithms in Automatic Control and Data Mining ISBN: 3642547850 ISBN-13(EAN): 9783642547850 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues.
Автор: Shahrzad Saremi; Seyedali Mirjalili Название: Optimisation Algorithms for Hand Posture Estimation ISBN: 9811397562 ISBN-13(EAN): 9789811397561 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Поставка под заказ.
Описание: This book reviews the literature on hand posture estimation using generative methods, identifying the current gaps, such as sensitivity to hand shapes, sensitivity to a good initial posture, difficult hand posture recovery in cases of loss in tracking, and lack of addressing multiple objectives to maximize accuracy and minimize computational cost. To fill these gaps, it proposes a new 3D hand model that combines the best features of the current 3D hand models in the literature. It also discusses the development of a hand shape optimization technique. To find the global optimum for the single-objective problem formulated, it improves and applies particle swarm optimization (PSO), one of the most highly regarded optimization algorithms and one that is used successfully in both science and industry. After formulating the problem, multi-objective particle swarm optimization (MOPSO) is employed to estimate the Pareto optimal front as the solution for this bi-objective problem. The book also demonstrates the effectiveness of the improved PSO in hand posture recovery in cases of tracking loss. Lastly, the book examines the formulation of hand posture estimation as a bi-objective problem for the first time.
The case studies included feature 50 hand postures extracted from five standard datasets, and were used to benchmark the proposed 3D hand model, hand shape optimization, and hand posture recovery.
Автор: G.S. Tomar; Ashish Bagwari Название: Fundamentals of Electronic Devices and Circuits ISBN: 9811502668 ISBN-13(EAN): 9789811502668 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on conceptual frameworks that are helpful in understanding the basics of electronics – what the feedback system is, the principle of an oscillator, the operational working of an amplifier, and other relevant topics. It also provides an overview of the technologies supporting electronic systems, like OP-AMP, transistor, filter, ICs, and diodes. It consists of seven chapters, written in an easy and understandable language, and featuring relevant block diagrams, circuit diagrams, valuable and interesting solved examples, and important test questions. Further, the book includes up-to-date illustrations, exercises, and numerous worked examples to illustrate the theory and to demonstrate their use in practical designs.
Автор: Nazmul Siddique Название: Intelligent Control ISBN: 3319343483 ISBN-13(EAN): 9783319343488 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Based on the most advanced experimental results and tests, this volume presents a modular switching fuzzy logic controller that embodies today`s trend in intelligent control, combining differing technologies to create a powerful next-generation hybrid.
Автор: Oleg Granichin; Zeev (Vladimir) Volkovich; Dvora T Название: Randomized Algorithms in Automatic Control and Data Mining ISBN: 3662522918 ISBN-13(EAN): 9783662522912 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues.
Автор: H. B. Verbruggen; Hans-J?rgen Zimmermann; Robert B Название: Fuzzy Algorithms for Control ISBN: 079238461X ISBN-13(EAN): 9780792384618 Издательство: Springer Рейтинг: Цена: 23751.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. This book includes chapters that address the position of fuzzy systems in control engineering and in the AI community. It also presents a number of applications of fuzzy control.
Автор: Sharma Harish, Govindan Kannan, Poonia Ramesh C. Название: Advances in Computing and Intelligent Systems: Proceedings of Icacm 2019 ISBN: 9811502218 ISBN-13(EAN): 9789811502217 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1. Intuitionistic Fuzzy Shannon Entropy Weight Based Multi Criteria Decision Model with TOPSIS to Analyse Security Risks and Select Online Transaction Method.- Chapter 2. Fermat Spiral Based Moth-Flame Optimization Algorithm for Object-Oriented Testing.- Chapter 3. A Comparative Study of Information Retrieval Using Machine Learning.- Chapter 4. Adaptive Background Subtraction Using Manual Approach for Static Images.- Chapter 5. Tweets Daily: Categorised News from Twitter.- Chapter 6. Compressing Meta Class Files through String Optimization.- Chapter 7. An Algorithm to Generate Largest Prime Number.- Chapter 8. Development of a Discretization Methodology for 2.5D Milling Toolpath optimization Using Genetic Algorithm.- Chapter 9. Machine Learning Based Prediction of PM 2.5 Pollution Level in Delhi.- Chapter 10. A Comparative Study of Load Balancing Algorithms in a Cloud Environment.- Chapter 11. Information Retrieval from Search Engine Using Particle Swarm Optimization.- Chapter 12. Genetic Algorithm Based Multi Objective Optimization Framework to Solve Travelling Salesman Problem.- Chapter 13. Design of Optimal PID Controller for Varied System Using Teaching-Learning-Based Optimization.- Chapter 14. Innovative Review on Artificial Bee Colony Algorithm and it's Variants.- Chapter 15. Multi Linear Regression Model to Predict Correlation between IT Graduate Attributes for Employability using R.
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