Cutting Edge Applications Of Computational Intelligence Tools And Techniques

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Cutting Edge Applications of Computational Intelligence Tools and Techniques

Author : Kevin Daimi,Abeer Alsadoon,Luis Coelho
Publisher : Springer Nature
Page : 355 pages
File Size : 47,7 Mb
Release : 2023-11-30
Category : Technology & Engineering
ISBN : 9783031441271

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Cutting Edge Applications of Computational Intelligence Tools and Techniques by Kevin Daimi,Abeer Alsadoon,Luis Coelho Pdf

The book delivers an excellent professional development resource for educators and practitioners on the cutting-edge computational intelligence techniques and applications. It covers many areas and topics of computational intelligence techniques and applications proposed by computational intelligence experts and researchers and furthers the enhancement of the community outreach and engagement component of computational intelligence techniques and applications. Furthermore, it presents a rich collection of manuscripts in highly regarded computational intelligence techniques and applications topics that have been creatively compiled. Computers are capable of learning from data and observations and providing solutions to real-life complex problems, following the same reasoning approach of human experts in various fields. This book endows a rich collection of applications in widespread areas. Among the areas addressed in this book are Computational Intelligence Principles and Techniques; CI in Manufacturing, Engineering, and Industry; CI in Recognition and Processing; CI in Robotics and Automation; CI in Communications and Networking; CI in Traditional Vehicles, Electric Vehicles, and Autonomous Vehicles; CI in Smart Cities and Smart Energy Systems; and CI in Finance, Business, Economics, and Education. These areas span many topics including repetitive manufacturing, discrete manufacturing, process manufacturing, electronic systems, speech recognition, pattern recognition, signal processing, image processing, industrial monitoring, vision systems for automation and robotics, cooperative and network robotics, perception, planning, control, urban traffic networks control, vehicle-to-roadside communications, smart buildings, smart urbanism, smart infrastructure, smart connected communities, smart energy, security, arts, and music.

Computational Intelligence, Data Analytics and Applications

Author : Fausto Pedro García Márquez,Akhtar Jamil,Süleyman Eken,Alaa Ali Hameed
Publisher : Springer Nature
Page : 610 pages
File Size : 46,8 Mb
Release : 2023-03-14
Category : Technology & Engineering
ISBN : 9783031270994

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Computational Intelligence, Data Analytics and Applications by Fausto Pedro García Márquez,Akhtar Jamil,Süleyman Eken,Alaa Ali Hameed Pdf

This book is a compilation of accepted papers presented at the International Conference on Computing, Intelligence and Data Analytics (ICCIDA) in 2022 organized by Information Systems Engineering of the Kocaeli University, Turkey on September 16-17, 2022. The book highlights some of the latest research advances and cutting-edge analyses of real-world problems related to Computing, Intelligence and Data Analytics and their applications in various domains. This includes state of the art models and methods used on benchmark datasets.

Computational Intelligence

Author : Christine L. Mumford
Publisher : Springer Science & Business Media
Page : 726 pages
File Size : 54,8 Mb
Release : 2009-07-21
Category : Computers
ISBN : 9783642017995

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Computational Intelligence by Christine L. Mumford Pdf

This book is about synergy in computational intelligence (CI). It is a c- lection of chapters that covers a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence, but each one taking a somewhat pragmatic view. Many complex problems in the real world require the application of some form of what we loosely call “intel- gence”fortheirsolution. Fewcanbesolvedbythenaiveapplicationofasingle technique, however good it is. Authors in this collection recognize the li- tations of individual paradigms, and propose some practical and novel ways in which di?erent CI techniques can be combined with each other, or with more traditional computational techniques, to produce powerful probl- solving environments which exhibit synergy, i. e. , systems in which the whole 1 is greater than the sum of the parts . Computational intelligence is a relatively new term, and there is some d- agreement as to its precise de?nition. Some practitioners limit its scope to schemes involving evolutionary algorithms, neural networks, fuzzy logic, or hybrids of these. For others, the de?nition is a little more ?exible, and will include paradigms such as Bayesian belief networks, multi-agent systems, case-based reasoning and so on. Generally, the term has a similar meaning to the well-known phrase “Arti?cial Intelligence” (AI), although CI is p- ceived moreas a “bottom up” approachfrom which intelligent behaviour can emerge,whereasAItendstobestudiedfromthe“topdown”,andderivefrom pondering upon the “meaning of intelligence”. (These and other key issues will be discussed in more detail in Chapter 1.

Practical Applications of Computational Intelligence Techniques

Author : Lakhmi Jain,Philippe De Wilde
Publisher : Springer Science & Business Media
Page : 408 pages
File Size : 52,9 Mb
Release : 2001-04-30
Category : Computers
ISBN : 0792373200

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Practical Applications of Computational Intelligence Techniques by Lakhmi Jain,Philippe De Wilde Pdf

Computational intelligence paradigms have attracted the growing interest of researchers, scientists, engineers and application engineers in a number of everyday applications. These applications are not limited to any particular field and include engineering, business, banking and consumer electronics. Computational intelligence paradigms include artificial intelligence, artificial neural networks, fuzzy systems and evolutionary computing. Artificial neural networks can mimic the biological information processing mechanism in a very limited sense. Evolutionary computing algorithms are used for optimisation applications, and fuzzy logic provides a basis for representing uncertain and imprecise knowledge. Practical Applications of Computational Intelligence Techniques contains twelve chapters providing actual application of these techniques in the real world. Such examples include, but are not limited to, intelligent household appliances, aerial spray models, industrial applications and medical diagnostics and practice. This book will be useful to researchers, practicing engineers/scientists and students, who are interested in developing practical applications in a computational intelligence environment.

Computational Intelligence Techniques and Their Applications to Software Engineering Problems

Author : Ankita Bansal,Abha Jain,Sarika Jain,Vishal Jain,Ankur Choudhary
Publisher : CRC Press
Page : 809 pages
File Size : 46,7 Mb
Release : 2020-09-27
Category : Computers
ISBN : 9781000191943

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Computational Intelligence Techniques and Their Applications to Software Engineering Problems by Ankita Bansal,Abha Jain,Sarika Jain,Vishal Jain,Ankur Choudhary Pdf

Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection and prioritization, and much more. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, and rough sets are introduced with their applications in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by determining the underlying and hidden patterns in software data sets. Aimed at graduate students and researchers in computer science engineering, software engineering, information technology, this book: Covers various aspects of in-depth solutions of software engineering problems using computational intelligence techniques Discusses the latest evolutionary approaches to preliminary theory of different solve optimization problems under software engineering domain Covers heuristic as well as meta-heuristic algorithms designed to provide better and optimized solutions Illustrates applications including software requirement prioritization, software cost estimation, reliability assessment, software defect prediction, and more Highlights swarm intelligence-based optimization solutions for software testing and reliability problems

Computational Intelligence

Author : Dinesh C.S. Bisht,Mangey Ram
Publisher : Walter de Gruyter GmbH & Co KG
Page : 280 pages
File Size : 53,7 Mb
Release : 2020-08-10
Category : Technology & Engineering
ISBN : 9783110671353

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Computational Intelligence by Dinesh C.S. Bisht,Mangey Ram Pdf

Computational intelligence (CI) lies at the interface between engineering and computer science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing.

Applications of Computational Intelligence in Data-Driven Trading

Author : Cris Doloc
Publisher : John Wiley & Sons
Page : 304 pages
File Size : 46,6 Mb
Release : 2019-10-29
Category : Business & Economics
ISBN : 9781119550501

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Applications of Computational Intelligence in Data-Driven Trading by Cris Doloc Pdf

“Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence. The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term “Artificial Intelligence,” especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author’s two decades of professional experience as a technologist, quant and academic.

Applied Soft Computing

Author : Samarjeet Borah,Ranjit Panigrahi
Publisher : CRC Press
Page : 281 pages
File Size : 46,6 Mb
Release : 2022-02-03
Category : Computers
ISBN : 9781000406658

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Applied Soft Computing by Samarjeet Borah,Ranjit Panigrahi Pdf

This new volume explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Soft computing has played a crucial role not only with theoretical paradigms but is also popular for its pivotal role for designing a large variety of expert systems and artificial intelligence-based applications. Involving the concepts and practices of soft computing in conjunction with other frontier research domains, this book begins with the basics and goes on to explore a variety of modern applications of soft computing in areas such as approximate reasoning, artificial neural networks, Bayesian networks, big data analytics, bioinformatics, cloud computing, control systems, data mining, functional approximation, fuzzy logic, genetic and evolutionary algorithms, hybrid models, machine learning, metaheuristics, neuro fuzzy system, optimization, randomized searches, and swarm intelligence. This book will be helpful to a wide range of readers who wish to learn applications of soft computing approaches. It will be useful for academicians, researchers, students, and machine learning experts who use soft computing techniques and algorithms to develop cutting-edge artificial intelligence-based applications.

Comparative Analysis of Digital Consciousness and Human Consciousness: Bridging the Divide in AI Discourse

Author : Lathabhavan, Remya,Mishra, Nidhi
Publisher : IGI Global
Page : 376 pages
File Size : 44,9 Mb
Release : 2024-04-22
Category : Computers
ISBN : 9798369320167

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Comparative Analysis of Digital Consciousness and Human Consciousness: Bridging the Divide in AI Discourse by Lathabhavan, Remya,Mishra, Nidhi Pdf

In today's digital age, the rapid advancement of AI and digital technologies has led to the emergence of digital consciousness, blurring the lines between human and machine thinking. At the same time, these technologies offer unprecedented convenience and efficiency but pose significant challenges. Individuals are increasingly facing issues such as stress, anxiety, and technology addiction, impacting their overall well-being and decision-making processes. The dichotomy between digital consciousness and human consciousness raises critical questions about how we can navigate these challenges in a rapidly evolving technological landscape. To address these pressing concerns, Comparative Analysis of Digital Consciousness and Human Consciousness: Bridging the Divide in AI Discourse offers a comprehensive exploration of the impacts of digital consciousness on human well-being and decision-making. This book delves into the paradoxes and challenges posed by the coexistence of digital and human consciousness, providing insights from psychological perspectives, practitioner experiences, and academic research. By offering a nuanced understanding of these concepts, we aim to equip readers with the knowledge and tools needed to manage the implications of digital consciousness in their personal and professional lives.

Advanced Methods and Applications in Computational Intelligence

Author : Ryszard Klempous,Jan Nikodem,Witold Jacak,Zenon Chaczko
Publisher : Springer Science & Business Media
Page : 408 pages
File Size : 46,7 Mb
Release : 2013-07-20
Category : Technology & Engineering
ISBN : 9783319014364

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Advanced Methods and Applications in Computational Intelligence by Ryszard Klempous,Jan Nikodem,Witold Jacak,Zenon Chaczko Pdf

This book offers an excellent presentation of intelligent engineering and informatics foundations for researchers in this field as well as many examples with industrial application. It contains extended versions of selected papers presented at the inaugural ACASE 2012 Conference dedicated to the Applications of Systems Engineering. This conference was held from the 6th to the 8th of February 2012, at the University of Technology, Sydney, Australia, organized by the University of Technology, Sydney (Australia), Wroclaw University of Technology (Poland) and the University of Applied Sciences in Hagenberg (Austria). The book is organized into three main parts. Part I contains papers devoted to the heuristic approaches that are applicable in situations where the problem cannot be solved by exact methods, due to various characteristics or dimensionality problems. Part II covers essential issues of the network management, presents intelligent models of the next generation of networks and distributed systems as well as discusses applications of modern numerical methods in large intractable systems. Part III covers salient issues of complexity in intelligent system applications. This part also contains papers and articles which discuss concurrency issues that arise when multiple systems attempt to use the same radio space and the inter-connected system applications in the field of medical simulation and training.

The The Reinforcement Learning Workshop

Author : Alessandro Palmas,Emanuele Ghelfi,Dr. Alexandra Galina Petre,Mayur Kulkarni,Anand N.S.,Quan Nguyen,Aritra Sen,Anthony So,Saikat Basak
Publisher : Packt Publishing Ltd
Page : 821 pages
File Size : 40,9 Mb
Release : 2020-08-18
Category : Computers
ISBN : 9781800209961

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The The Reinforcement Learning Workshop by Alessandro Palmas,Emanuele Ghelfi,Dr. Alexandra Galina Petre,Mayur Kulkarni,Anand N.S.,Quan Nguyen,Aritra Sen,Anthony So,Saikat Basak Pdf

Start with the basics of reinforcement learning and explore deep learning concepts such as deep Q-learning, deep recurrent Q-networks, and policy-based methods with this practical guide Key FeaturesUse TensorFlow to write reinforcement learning agents for performing challenging tasksLearn how to solve finite Markov decision problemsTrain models to understand popular video games like BreakoutBook Description Various intelligent applications such as video games, inventory management software, warehouse robots, and translation tools use reinforcement learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome. This book will help you to get to grips with the techniques and the algorithms for implementing RL in your machine learning models. Starting with an introduction to RL, you’ll be guided through different RL environments and frameworks. You’ll learn how to implement your own custom environments and use OpenAI baselines to run RL algorithms. Once you’ve explored classic RL techniques such as Dynamic Programming, Monte Carlo, and TD Learning, you’ll understand when to apply the different deep learning methods in RL and advance to deep Q-learning. The book will even help you understand the different stages of machine-based problem-solving by using DARQN on a popular video game Breakout. Finally, you’ll find out when to use a policy-based method to tackle an RL problem. By the end of The Reinforcement Learning Workshop, you’ll be equipped with the knowledge and skills needed to solve challenging problems using reinforcement learning. What you will learnUse OpenAI Gym as a framework to implement RL environmentsFind out how to define and implement reward functionExplore Markov chain, Markov decision process, and the Bellman equationDistinguish between Dynamic Programming, Monte Carlo, and Temporal Difference LearningUnderstand the multi-armed bandit problem and explore various strategies to solve itBuild a deep Q model network for playing the video game BreakoutWho this book is for If you are a data scientist, machine learning enthusiast, or a Python developer who wants to learn basic to advanced deep reinforcement learning algorithms, this workshop is for you. A basic understanding of the Python language is necessary.

Computational Intelligence in Business Analytics

Author : Les Sztandera
Publisher : Pearson Education
Page : 155 pages
File Size : 43,6 Mb
Release : 2014
Category : Business & Economics
ISBN : 9780133552089

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Computational Intelligence in Business Analytics by Les Sztandera Pdf

Using computational intelligence methods, you can drive far more value from business analytics, and account far more effectively for the real-world uncertainties and complexities you face in making key decisions. Whether you're a professional or a student, this up-to-date, accessible reference will teach you the computational intelligence concepts and methods you need to fully leverage these powerful techniques. Drawing on his pioneering experience as an instructor and researcher, Dr. Les Sztandera thoroughly illuminates today's key computational intelligence tools, knowledge, and strategies for analysis, exploration, and knowledge generation. Sztandera demystifies artificial neural networks, genetic algorithms, and fuzzy systems, and guides you through using them to model, discover, and interpret new patterns that can't be found through statistical methods alone. To demonstrate these techniques at work, Computational Intelligence in Business Analytics is packed with relevant case studies and examples, including: Customer segmentation for direct marketing Customer profiling for relationship management Efficient mailing campaigns Customer retention Identification of cross-selling opportunities Credit score analysis Detection of fraudulent behavior and transactions Hedge fund strategies Szandera shows how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. He also shows how to complement computational intelligence with visualization, explorative interfaces and advanced reporting, thereby empowering business users and enterprise stakeholders to take full advantage of it.

Cutting-Edge Evolutions of Information Technology

Author : Dr.Kashif Qureshi
Publisher : Booksclinic Publishing
Page : 566 pages
File Size : 41,6 Mb
Release : 2019-06-14
Category : Electronic
ISBN : 9789388797276

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Cutting-Edge Evolutions of Information Technology by Dr.Kashif Qureshi Pdf

"Just some years before, there have been no throngs of Machine Learning, scientists developing intelligent merchandise and services at major corporations and startups. Once the youngest folks (the authors) entered the sector, machine learning didn’t command headlines in daily newspapers. Our oldsters had no plan what machine learning was, including why we would like it to a career in medication or law. Machine learning was an advanced tutorial discipline with a slender set of real-world applications. And people applications, e.g. speech recognition and pc vision, needed most domain data that they were usually thought to be separate areas entirely that machine learning was one tiny part. Neural networks, the antecedents of the deep learning models that we tend to specialize in during this book, were thought to be out-of-date tools. In simply the previous five years, deep learning has taken the world by surprise, using fast progress in fields as diverse as laptop vision, herbal language processing, computerized speech recognition, reinforcement learning, and statistical modelling. With these advances in hand, we can now construct cars that power themselves (with increasing autonomy), clever reply structures that anticipate mundane replies, assisting humans to dig out from mountains of email, and software program retailers that dominate the world’s first-class people at board video games like Go, a feat once deemed to be a long time away. Already, these equipment are exerting a widening impact, changing the way films are made, diseases are…diagnosed, and enjoying a developing role in simple sciences – from astrophysics to biology. This e-book represents our attempt to make deep learning approachable, instructing you each the concepts, the context, and the code."

Machine Learning: Concepts, Methodologies, Tools and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2174 pages
File Size : 40,7 Mb
Release : 2011-07-31
Category : Computers
ISBN : 9781609608194

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Machine Learning: Concepts, Methodologies, Tools and Applications by Management Association, Information Resources Pdf

"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe

Computational Intelligence: Advances and Applications

Author : Gabriele Cox
Publisher : Unknown
Page : 222 pages
File Size : 42,5 Mb
Release : 2019-06-03
Category : Electronic
ISBN : 168285616X

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Computational Intelligence: Advances and Applications by Gabriele Cox Pdf

Computational intelligence is a set of methodologies designed to solve complex problems that cannot be solved using classical methods of mathematics or modeling. It operates using the techniques of fuzzy logic, artificial neural networks, evolutionary computing, learning theory and probabilistic methods. Computational intelligence provides solutions for real-world problems that cannot be put into binary code. Some popular approaches of this domain are artificial immune systems and swarm intelligence. The field of computational intelligence has applications in engineering, computer science, data analysis and biomedicine. The objective of this book is to give a general view of the different areas of computational intelligence and their applications. It aims to present researches that have transformed this discipline and aided its advancement. Students, researchers, experts and all associated with this field will benefit alike from this book.