0
Your cart

Your cart is empty

Browse All Departments
Price
  • R100 - R250 (55)
  • R250 - R500 (314)
  • R500+ (17,068)
  • -
Status
Format
Author / Contributor
Publisher

Books > Computing & IT > Applications of computing > Artificial intelligence > General

Real-life Applications with Membrane Computing (Hardcover, 1st ed. 2017): Gexiang Zhang, Mario J. Perez-Jimenez, Marian Gheorghe Real-life Applications with Membrane Computing (Hardcover, 1st ed. 2017)
Gexiang Zhang, Mario J. Perez-Jimenez, Marian Gheorghe
R4,261 R3,691 Discovery Miles 36 910 Save R570 (13%) Ships in 12 - 19 working days

This book thoroughly investigates the underlying theoretical basis of membrane computing models, and reveals their latest applications. In addition, to date there have been no illustrative case studies or complex real-life applications that capitalize on the full potential of the sophisticated membrane systems computational apparatus; gaps that this book remedies. By studying various complex applications - including engineering optimization, power systems fault diagnosis, mobile robot controller design, and complex biological systems involving data modeling and process interactions - the book also extends the capabilities of membrane systems models with features such as formal verification techniques, evolutionary approaches, and fuzzy reasoning methods. As such, the book offers a comprehensive and up-to-date guide for all researchers, PhDs and undergraduate students in the fields of computer science, engineering and the bio-sciences who are interested in the applications of natural computing models.

Bin-Picking - New Approaches for a Classical Problem (Hardcover, 1st ed. 2016): Dirk Buchholz Bin-Picking - New Approaches for a Classical Problem (Hardcover, 1st ed. 2016)
Dirk Buchholz
R3,708 R3,426 Discovery Miles 34 260 Save R282 (8%) Ships in 12 - 19 working days

This book is devoted to one of the most famous examples of automation handling tasks - the "bin-picking" problem. To pick up objects, scrambled in a box is an easy task for humans, but its automation is very complex. In this book three different approaches to solve the bin-picking problem are described, showing how modern sensors can be used for efficient bin-picking as well as how classic sensor concepts can be applied for novel bin-picking techniques. 3D point clouds are firstly used as basis, employing the known Random Sample Matching algorithm paired with a very efficient depth map based collision avoidance mechanism resulting in a very robust bin-picking approach. Reducing the complexity of the sensor data, all computations are then done on depth maps. This allows the use of 2D image analysis techniques to fulfill the tasks and results in real time data analysis. Combined with force/torque and acceleration sensors, a near time optimal bin-picking system emerges. Lastly, surface normal maps are employed as a basis for pose estimation. In contrast to known approaches, the normal maps are not used for 3D data computation but directly for the object localization problem, enabling the application of a new class of sensors for bin-picking.

Topics in Grammatical Inference (Hardcover, 1st ed. 2016): Jeffrey Heinz, Jose M. Sempere Topics in Grammatical Inference (Hardcover, 1st ed. 2016)
Jeffrey Heinz, Jose M. Sempere
R3,577 Discovery Miles 35 770 Ships in 12 - 19 working days

This book explains advanced theoretical and application-related issues in grammatical inference, a research area inside the inductive inference paradigm for machine learning. The first three chapters of the book deal with issues regarding theoretical learning frameworks; the next four chapters focus on the main classes of formal languages according to Chomsky's hierarchy, in particular regular and context-free languages; and the final chapter addresses the processing of biosequences. The topics chosen are of foundational interest with relatively mature and established results, algorithms and conclusions. The book will be of value to researchers and graduate students in areas such as theoretical computer science, machine learning, computational linguistics, bioinformatics, and cognitive psychology who are engaged with the study of learning, especially of the structure underlying the concept to be learned. Some knowledge of mathematics and theoretical computer science, including formal language theory, automata theory, formal grammars, and algorithmics, is a prerequisite for reading this book.

Big Data Analytics: A Management Perspective (Hardcover, 1st ed. 2016): Francesco Corea Big Data Analytics: A Management Perspective (Hardcover, 1st ed. 2016)
Francesco Corea
R3,611 Discovery Miles 36 110 Ships in 10 - 15 working days

This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership - while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally, few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, blockchain, etc.), especially for their close relation with the increasing amount of data and our ability to analyse them faster and more effectively.

Human Re-Identification (Hardcover, 1st ed. 2016): Ziyan Wu Human Re-Identification (Hardcover, 1st ed. 2016)
Ziyan Wu
R2,873 Discovery Miles 28 730 Ships in 10 - 15 working days

This book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human re-identification that bridge the gap between research and reality. The primary focus is on building a robust, reliable, distributed and scalable smart surveillance system that can be deployed in real-world scenarios. This book also includes detailed discussions on pedestrian candidates detection, discriminative feature extraction and selection, dimension reduction, distance/metric learning, and decision/ranking enhancement.This book is intended for professionals and researchers working in computer vision and machine learning. Advanced-level students of computer science will also find the content valuable.

Semantic Web Technologies for Intelligent Engineering Applications (Hardcover, 1st ed. 2016): Stefan Biffl, Marta Sabou Semantic Web Technologies for Intelligent Engineering Applications (Hardcover, 1st ed. 2016)
Stefan Biffl, Marta Sabou
R4,789 Discovery Miles 47 890 Ships in 12 - 19 working days

This is the first book to explore how Semantic Web technologies (SWTs) can be used to create intelligent engineering applications (IEAs). Technology-specific chapters reflect the state of the art in relevant SWTs and offer guidelines on how they can be applied in multi-disciplinary engineering settings characteristic of engineering production systems. In addition, a selection of case studies from various engineering domains demonstrate how SWTs can be used to create IEAs that enable, for example, defect detection or constraint checking. Part I "Background and Requirements of Industrie 4.0 for Semantic Web Solutions" provides the background information needed to understand the book and addresses questions concerning the semantic challenges and requirements of Industrie 4.0, and which key SWT capabilities may be suitable for implementing engineering applications. In turn, Part II "Semantic Web-Enabled Data Integration in Multi-Disciplinary Engineering" focuses on how SWTs can be used for data integration in heterogeneous, multi-disciplinary engineering settings typically encountered in the creation of flexible production systems. Part III "Creating Intelligent Applications for Multi-Disciplinary Engineering" demonstrates how the integrated engineering data can be used to support the creation of IEAs, while Part IV "Related and Emerging Trends in the Use of Semantic Web in Engineering" presents an overview of the broader spectrum of approaches that make use of SWTs to support engineering settings. A final chapter then rounds out the book with an assessment of the strengths, weaknesses and compatibilities of SWTs and an outlook on future opportunities for applying SWTs to create IEAs in flexible industrial production systems. This book seeks to build a bridge between two communities: industrial production on one hand and Semantic Web on the other. Accordingly, stakeholders from both communities should find this book useful in their work. Semantic Web researchers will gain a better understanding of the challenges and requirements of the industrial production domain, offering them guidance in the development of new technologies and solutions for this important application area. In turn, engineers and managers from engineering domains will arrive at a firmer grasp of the benefits and limitations of using SWTs, helping them to select and adopt appropriate SWTs more effectively. In addition, researchers and students interested in industrial production-related issues will gain valuable insights into how and to what extent SWTs can help to address those issues.

Evolutionary Multi-Agent Systems - From Inspirations to Applications (Hardcover, 1st ed. 2017): Aleksander Byrski, Marek... Evolutionary Multi-Agent Systems - From Inspirations to Applications (Hardcover, 1st ed. 2017)
Aleksander Byrski, Marek Kisiel-Dorohinicki
R4,556 Discovery Miles 45 560 Ships in 12 - 19 working days

This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results. Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.

Anticipation Across Disciplines (Hardcover, 1st ed. 2016): Mihai Nadin Anticipation Across Disciplines (Hardcover, 1st ed. 2016)
Mihai Nadin
R2,972 Discovery Miles 29 720 Ships in 10 - 15 working days

Never before was anticipation more relevant to the life and activity of humankind than it is today. "It is no overstatement to suggest that humanity's future will be shaped by its capacity to anticipate...." (Research Agenda for the 21st Century, National Science Foundation). The sciences and the humanities can no longer risk explaining away the complexity and interactivity that lie at the foundation of life and living. The perspective of the world that anticipation opens justifies the descriptor "the post-Cartesian Revolution." If anticipation is a valid research domain, what practical relevance can we await? Indeed, anticipation is more than just the latest catch-word in marketing the apps developed by the digital technology industry. Due to spectacular advances in the study of the living, anticipation can claim a legitimate place in current investigations and applications in the sciences and the humanities. Biology, genetics, medicine, as well as politics and cognitive, behavioral, and social sciences, provide rich evidence of anticipatory processes at work. Readers seeking a foundation for an ticipation will find in these pages recent outcomes pertinent to plant life, political anticipation, cognitive science, architecture, computation. The authors contributing to this volume frame experimental data in language that can be shared among experts from all fields of endeavor. The major characteristic is the inference from the richness of data to principles and practical consequences.

Advances in Intelligent Computing (Hardcover, 1st ed. 2019): J K Mandal, Paramartha Dutta, Somnath Mukhopadhyay Advances in Intelligent Computing (Hardcover, 1st ed. 2019)
J K Mandal, Paramartha Dutta, Somnath Mukhopadhyay
R3,365 Discovery Miles 33 650 Ships in 10 - 15 working days

This edited volume on computational intelligence algorithms-based applications includes work presented at the International Conference on Computational Intelligence, Communications, and Business Analytics (CICBA 2017). It provides the latest research findings on the significance of computational intelligence and related application areas. It also introduces various computation platforms involving evolutionary algorithms, fuzzy logic, swarm intelligence, artificial neural networks and several other tools for solving real-world problems. It also discusses various tools that are hybrids of more than one solution framework, highlighting the theoretical aspects as well as various real-world applications.

High-Performance Simulation-Based Optimization (Hardcover, 1st ed. 2020): Thomas Bartz-beielstein, Bogdan Filipic, Peter... High-Performance Simulation-Based Optimization (Hardcover, 1st ed. 2020)
Thomas Bartz-beielstein, Bogdan Filipic, Peter Korosec, El--Ghazali Talbi
R4,137 Discovery Miles 41 370 Ships in 10 - 15 working days

This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research. That's where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems.

Mobile Information Systems Leveraging Volunteered Geographic Information for Earth Observation (Hardcover, 1st ed. 2018):... Mobile Information Systems Leveraging Volunteered Geographic Information for Earth Observation (Hardcover, 1st ed. 2018)
Gloria Bordogna, Paola Carrara
R2,901 Discovery Miles 29 010 Ships in 10 - 15 working days

This book, written by an international team of prominent authors, gathers the latest developments in mobile technologies for the acquisition, management, analysis and sharing of Volunteered Geographic Information (VGI) in the context of Earth observation. It is divided into three parts, the first of which presents case studies on the implementation of VGI for Earth observation, discusses the characteristics of volunteers' engagement in relation with their expertise and motivation, analyzes the tasks they are called upon to perform, and examines the available tools for developing VGI. In turn, the second part introduces readers to essential methods, techniques and algorithms used to develop mobile information systems based on VGI for distinct Earth observation tasks, while the last part focuses on the drawbacks and limitations of VGI with regard to the above-mentioned tasks and proposes innovative methods and techniques to help overcome them. Given its breadth of coverage, the book offers a comprehensive, practice-oriented reference guide for researchers and practitioners in the field of geo-information management.

Mechanical Intelligence, Volume 1 (Hardcover): D.C. Ince Mechanical Intelligence, Volume 1 (Hardcover)
D.C. Ince
R1,646 R1,440 Discovery Miles 14 400 Save R206 (13%) Ships in 12 - 19 working days

The collected works of Turing, including a substantial amount of unpublished material, will comprise four volumes: Mechanical Intelligence, Pure Mathematics, Morphogenesis and Mathematical Logic. Alan Mathison Turing (1912-1954) was a brilliant man who made major contributions in several areas of science. Today his name is mentioned frequently in philosophical discussions about the nature of Artificial Intelligence. Actually, he was a pioneer researcher in computer architecture and software engineering; his work in pure mathematics and mathematical logic extended considerably further and his last work, on morphogenesis in plants, is also acknowledged as being of the greatest originality and of permanent importance. He was one of the leading figures in Twentieth-century science, a fact which would have been known to the general public sooner but for the British Official Secrets Act, which prevented discussion of his wartime work. What is maybe surprising about these papers is that although they were written decades ago, they address major issues which concern researchers today.

Pure Mathematics, Volume 2 (Hardcover): J.L. Britton Pure Mathematics, Volume 2 (Hardcover)
J.L. Britton
R2,071 R1,449 Discovery Miles 14 490 Save R622 (30%) Ships in 12 - 19 working days

The collected works of Turing, including a substantial amount of unpublished material, will comprise four volumes: Mechanical Intelligence, Pure Mathematics, Morphogenesis and Mathematical Logic. Alan Mathison Turing (1912-1954) was a brilliant man who made major contributions in several areas of science. Today his name is mentioned frequently in philosophical discussions about the nature of Artificial Intelligence. Actually, he was a pioneer researcher in computer architecture and software engineering; his work in pure mathematics and mathematical logic extended considerably further and his last work, on morphogenesis in plants, is also acknowledged as being of the greatest originality and of permanent importance. He was one of the leading figures in Twentieth-century science, a fact which would have been known to the general public sooner but for the British Official Secrets Act, which prevented discussion of his wartime work. What is maybe surprising about these papers is that although they were written decades ago, they address major issues which concern researchers today.

Intelligent Techniques in Signal Processing for Multimedia Security (Hardcover, 1st ed. 2017): Nilanjan Dey, V. Santhi Intelligent Techniques in Signal Processing for Multimedia Security (Hardcover, 1st ed. 2017)
Nilanjan Dey, V. Santhi
R5,211 Discovery Miles 52 110 Ships in 12 - 19 working days

This book proposes new algorithms to ensure secured communications and prevent unauthorized data exchange in secured multimedia systems. Focusing on numerous applications' algorithms and scenarios, it offers an in-depth analysis of data hiding technologies including watermarking, cryptography, encryption, copy control, and authentication. The authors present a framework for visual data hiding technologies that resolves emerging problems of modern multimedia applications in several contexts including the medical, healthcare, education, and wireless communication networking domains. Further, it introduces several intelligent security techniques with real-time implementation. As part of its comprehensive coverage, the book discusses contemporary multimedia authentication and fingerprinting techniques, while also proposing personal authentication/recognition systems based on hand images, surveillance system security using gait recognition, face recognition under restricted constraints such as dry/wet face conditions, and three-dimensional face identification using the approach developed here. This book equips perception technology professionals with the latest technologies, techniques, and strategies for multimedia security systems, offering a valuable resource for engineers and researchers working to develop security systems.

Deep Learning for Unmanned Systems (Hardcover, 1st ed. 2021): Anis Koubaa, Ahmad Taher Azar Deep Learning for Unmanned Systems (Hardcover, 1st ed. 2021)
Anis Koubaa, Ahmad Taher Azar
R6,475 Discovery Miles 64 750 Ships in 10 - 15 working days

This book is used at the graduate or advanced undergraduate level and many others. Manned and unmanned ground, aerial and marine vehicles enable many promising and revolutionary civilian and military applications that will change our life in the near future. These applications include, but are not limited to, surveillance, search and rescue, environment monitoring, infrastructure monitoring, self-driving cars, contactless last-mile delivery vehicles, autonomous ships, precision agriculture and transmission line inspection to name just a few. These vehicles will benefit from advances of deep learning as a subfield of machine learning able to endow these vehicles with different capability such as perception, situation awareness, planning and intelligent control. Deep learning models also have the ability to generate actionable insights into the complex structures of large data sets. In recent years, deep learning research has received an increasing amount of attention from researchers in academia, government laboratories and industry. These research activities have borne some fruit in tackling some of the challenging problems of manned and unmanned ground, aerial and marine vehicles that are still open. Moreover, deep learning methods have been recently actively developed in other areas of machine learning, including reinforcement training and transfer/meta-learning, whereas standard, deep learning methods such as recent neural network (RNN) and coevolutionary neural networks (CNN). The book is primarily meant for researchers from academia and industry, who are working on in the research areas such as engineering, control engineering, robotics, mechatronics, biomedical engineering, mechanical engineering and computer science. The book chapters deal with the recent research problems in the areas of reinforcement learning-based control of UAVs and deep learning for unmanned aerial systems (UAS) The book chapters present various techniques of deep learning for robotic applications. The book chapters contain a good literature survey with a long list of references. The book chapters are well written with a good exposition of the research problem, methodology, block diagrams and mathematical techniques. The book chapters are lucidly illustrated with numerical examples and simulations. The book chapters discuss details of applications and future research areas.

Multi-Objective Optimization - Evolutionary to Hybrid Framework (Hardcover, 1st ed. 2018): Jyotsna K Mandal, Somnath... Multi-Objective Optimization - Evolutionary to Hybrid Framework (Hardcover, 1st ed. 2018)
Jyotsna K Mandal, Somnath Mukhopadhyay, Paramartha Dutta
R4,637 Discovery Miles 46 370 Ships in 10 - 15 working days

This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems.

Multiplicative Inverse Functional Equations - Theory and Applications (Hardcover, 1st ed. 2020): B V Senthil Kumar, Hemen Dutta Multiplicative Inverse Functional Equations - Theory and Applications (Hardcover, 1st ed. 2020)
B V Senthil Kumar, Hemen Dutta
R2,873 Discovery Miles 28 730 Ships in 10 - 15 working days

This book introduces readers to numerous multiplicative inverse functional equations and their stability results in various spaces. This type of functional equation can be of use in solving many physical problems and also has significant relevance in various scientific fields of research and study. In particular, multiplicative inverse functional equations have applications in electric circuit theory, physics, and relations connecting the harmonic mean and arithmetic mean of several values. Providing a wealth of essential insights and new concepts in the field of functional equations, the book is chiefly intended for researchers, graduate schools, graduate students, and educators, and can also used for seminars in analysis covering topics of functional equations.

Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I (Hardcover, 1st ed. 2021): Yingmin Jia, Weicun Zhang,... Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I (Hardcover, 1st ed. 2021)
Yingmin Jia, Weicun Zhang, Yongling Fu
R8,478 Discovery Miles 84 780 Ships in 10 - 15 working days

The book focuses on new theoretical results and techniques in the field of intelligent systems and control. It provides in-depth studies on a number of major topics such as Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.

Management 4.0 - Cases and Methods for the 4th Industrial Revolution (Hardcover, 1st ed. 2020): James R Reagan, Madhusudan Singh Management 4.0 - Cases and Methods for the 4th Industrial Revolution (Hardcover, 1st ed. 2020)
James R Reagan, Madhusudan Singh
R3,367 Discovery Miles 33 670 Ships in 10 - 15 working days

This book provides a comprehensive review of industry 4.0 and its applications, discussing the history of industry evaluation, including industry 1.0, 2.0, 3.0 and 4.0, and the future structure of industry evaluation. It also examines the effects and impact of various technologies in industry and presents new interdisciplinary business models based on advanced technologies with the help of use cases. Lastly, it highlights the benefits of technological implementation in industry using examples of real-world applications, providing a robust and reliable technological conceptual framework and roadmap for decision-makers in all areas of industry involved transformation.

Artificial Intelligence Technologies and the Evolution of Web 3.0 (Hardcover): Tomayess Issa, Pedro Isaias Artificial Intelligence Technologies and the Evolution of Web 3.0 (Hardcover)
Tomayess Issa, Pedro Isaias
R6,178 Discovery Miles 61 780 Ships in 10 - 15 working days

Web technologies have become a vital element within educational, professional, and social settings as they have the potential to improve performance and productivity across organizations. Artificial Intelligence Technologies and the Evolution of Web 3.0 brings together emergent research and best practices surrounding the effective usage of Web 3.0 technologies in a variety of environments. Featuring the latest technologies and applications across industries, this publication is a vital reference source for academics, researchers, students, and professionals who are interested in new ways to use intelligent web technologies within various settings.

A Metaheuristic Approach to Protein Structure Prediction - Algorithms and Insights from Fitness Landscape Analysis (Hardcover,... A Metaheuristic Approach to Protein Structure Prediction - Algorithms and Insights from Fitness Landscape Analysis (Hardcover, 1st ed. 2018)
Nanda Dulal Jana, Swagatam Das, Jaya Sil
R2,892 Discovery Miles 28 920 Ships in 10 - 15 working days

This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature of the problem, which was the focus of methodologies in the past. Protein structure prediction is concerned with the question of how to determine the three-dimensional structure of a protein from its primary sequence. Recently a number of successful metaheuristic algorithms have been developed to determine the native structure, which plays an important role in medicine, drug design, and disease prediction. This interdisciplinary book consolidates the concepts most relevant to protein structure prediction (PSP) through global non-convex optimization. It is intended for graduate students from fields such as computer science, engineering, bioinformatics and as a reference for researchers and practitioners.

Smart Maintenance for Human-Robot Interaction - An Intelligent Search Algorithmic Perspective (Hardcover, 1st ed. 2018):... Smart Maintenance for Human-Robot Interaction - An Intelligent Search Algorithmic Perspective (Hardcover, 1st ed. 2018)
Boxing, Tshilidzi Marwala
R5,027 Discovery Miles 50 270 Ships in 12 - 19 working days

This self-contained book, written by active researchers, presents up-to-date information on smart maintenance strategies for human-robot interaction (HRI) and the associated applications of novel search algorithms in a single volume, eliminating the need to consult scattered resources. Unlike other books, it addresses maintaining a smart HRI from three dimensions, namely, hardware, cyberware, and hybrid-asset management, covering problems encountered in each through a wide variety of representative examples and elaborated illustrations. Further, the diverse mathematical models and intelligent systems constructions make the book highly practical. It enables readers interested in maintenance, robotics, and intelligent systems but perplexed by myriads of interrelated issues to grasp basic methodologies. At the same time, the referenced literature can be used as a roadmap for conducting deeper researches.

The Age of AI - And Our Human Future (Paperback): Henry A. Kissinger, Eric Schmidt, Daniel Huttenlocher The Age of AI - And Our Human Future (Paperback)
Henry A. Kissinger, Eric Schmidt, Daniel Huttenlocher
R366 R344 Discovery Miles 3 440 Save R22 (6%) Ships in 12 - 19 working days

A Wall Street Journal Bestseller 'IT SHOULD BE READ BY ANYONE TRYING TO MAKE SENSE OF GEOPOLITICS TODAY' FINANCIAL TIMES Three of our most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society - and what it means for us all. An AI learned to win chess by making moves human grand masters had never conceived. Another AI discovered a new antibiotic by analysing molecular properties human scientists did not understand. Now, AI-powered jets are defeating experienced human pilots in simulated dogfights. AI is coming online in searching, streaming, medicine, education, and many other fields and, in so doing, transforming how humans are experiencing reality. In The Age of AI, three leading thinkers have come together to consider how AI will change our relationships with knowledge, politics, and the societies in which we live. The Age of AI is an essential roadmap to our present and our future, an era unlike any that has come before.

Advances in Structural Engineering-Optimization - Emerging Trends in Structural Optimization (Hardcover, 1st ed. 2021): Sinan... Advances in Structural Engineering-Optimization - Emerging Trends in Structural Optimization (Hardcover, 1st ed. 2021)
Sinan Melih Nigdeli, Gebrail Bekdas, Aylin Ece Kayabekir, Melda Yucel
R5,124 Discovery Miles 51 240 Ships in 10 - 15 working days

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches. This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.

Consensual Illusion: The Mind in Virtual Reality (Hardcover, 1st ed. 2021): Vanja Kljajevic Consensual Illusion: The Mind in Virtual Reality (Hardcover, 1st ed. 2021)
Vanja Kljajevic
R4,228 Discovery Miles 42 280 Ships in 12 - 19 working days

This book is inspired by the contemporary fascination with virtual reality and growing presence of this type of technology in everyday life. It explores the ways in which virtual reality evokes illusory transformation responses. The power of virtual reality is in making the mediation by technology in these experiences appear irrelevant to cognitive processes, so much so that it is often assumed that skills acquired in virtual environments are generally transferable to the physical world. However, cognition is affected by virtual reality technology, which is reflected in issues related to virtual embodiment, choice of spatial strategies, differences in neural and electrophysiological patterns associated with movement processing when navigating virtual vs. physical environments, and, at least to some extent, in virtual proxemics. In addition to spatial cognition, the book explores the sense of self in virtual reality, social interaction and virtual togetherness, action and motor cognition, calling to mind debates from philosophy, psychology, and cognitive neuroscience.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
The Death Of Democracy - Hitler's Rise…
Benjamin Carter Hett Paperback  (1)
R333 R302 Discovery Miles 3 020
Apprentice In Wonderland - How Donald…
Ramin Setoodeh Hardcover R669 R585 Discovery Miles 5 850
Jeremy's Reading Log - My First 200…
Martha Day Zschock Hardcover R412 Discovery Miles 4 120
Gallium Oxide - Materials Properties…
Masataka Higashiwaki, Shizuo Fujita Hardcover R2,586 Discovery Miles 25 860
Keeley's Reading Log - My First 200…
Martha Day Zschock Hardcover R412 Discovery Miles 4 120
Settlement Morphology of Budapest
Csapo Tamas, Lenner Tibor Hardcover R4,439 R3,581 Discovery Miles 35 810
Under The Baobab Tree
Roslynne Toerien, Julie Smith-Belton Hardcover  (1)
R190 R176 Discovery Miles 1 760
Transform Your Life with Alchemy - A…
Karen Frazier Paperback R377 R354 Discovery Miles 3 540
FOREsight - Awaken Curiosity. Cultivate…
John Sanei Paperback R345 R318 Discovery Miles 3 180
Becoming Bulletproof - Life Lessons From…
Evy Poumpouras Paperback R325 R290 Discovery Miles 2 900

 

Partners