Advances In Machine Learning Applications In Software Engineering

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Advances in Machine Learning Applications in Software Engineering

Zhang, Du,Tsai, Jeffery J.P.
Advances in Machine Learning Applications in Software Engineering Book PDF

Author : Zhang, Du,Tsai, Jeffery J.P.
Publisher : IGI Global
Page : 498 pages
File Size : 47,8 Mb
Release : 2006-10-31
Category : Computers
ISBN : 9781591409434

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Advances in Machine Learning Applications in Software Engineering by Zhang, Du,Tsai, Jeffery J.P. Pdf

"This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality while offering readers suggestions by proposing future work in this emerging research field"--Provided by publisher.

Machine Learning Applications in Software Engineering

Du Zhang,Jeffrey J. P. Tsai
Machine Learning Applications in Software Engineering Book PDF

Author : Du Zhang,Jeffrey J. P. Tsai
Publisher : World Scientific
Page : 368 pages
File Size : 51,5 Mb
Release : 2005
Category : Computers
ISBN : 9789812560940

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Machine Learning Applications in Software Engineering by Du Zhang,Jeffrey J. P. Tsai Pdf

A collection of previously published articles from a variety of publications.

Machine Learning

Roger Inge,Jan Leif
Machine Learning Book PDF

Author : Roger Inge,Jan Leif
Publisher : Nova Publishers
Page : 0 pages
File Size : 43,8 Mb
Release : 2017
Category : Machine learning
ISBN : 1536125709

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Machine Learning by Roger Inge,Jan Leif Pdf

In chapter one, Lei Jia, PhD and Hua Gao, PhD analyze machine learning applications in small molecule and macromolecule drug discovery and development while comparing the similarities and differences between the two. They also examine their advantages and limitations with the intent to encourage further creative machine learning applications in drug discovery and development. During chapter two, Oscar Claveria, Enric Monte, and Salvador Torra present a study on the extrapolative performance of several machine learning models in a multiple-input multiple-output setting that permits cross-correlation between the inputs. Bojan Ploj, Germano Resconi, and Ali Yaghoubi parallel the solution of a system by logic gates and by a neural network, in which considerations are computed by the designated one step method during chapter three. In chapter four, Loris Nannia, Nicolò Zaffonatoa, Christian Salvatoreb, Isabella Castiglionib, and the Alzheimers Disease Neuroimaging Initiative propose a method that could aid in the early diagnosis of Alzheimers disease. Afterwards, F. Dornaika and I. Kamal Aldine present and experimentally assess two non-linear data self-representativeness coding schemes based on Hilbert space and column generation. Lastly, Christos Chrysoulas, Grigorios Kalliatakis, and Georgios Stamatiadis give an overview of Apache Hadoop, an open-source software framework used to distribute storage and process big data using the MapReduce programming model.

Advances on Machine and Deep Learning Techniques in Modern Applications

Dr. T. Arumuga Maria Devi ,Mrs.Ajitha S Raj,Mr.A.Chockalingam,MrsSunitha S,S.Gnana Sophia
Advances on Machine and Deep Learning Techniques in Modern Applications Book PDF

Author : Dr. T. Arumuga Maria Devi ,Mrs.Ajitha S Raj,Mr.A.Chockalingam,MrsSunitha S,S.Gnana Sophia
Publisher : SK Research Group of Companies
Page : 304 pages
File Size : 53,5 Mb
Release : 2022-11-08
Category : Computers
ISBN : 9789391077921

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Advances on Machine and Deep Learning Techniques in Modern Applications by Dr. T. Arumuga Maria Devi ,Mrs.Ajitha S Raj,Mr.A.Chockalingam,MrsSunitha S,S.Gnana Sophia Pdf

Dr.T.Arumuga Maria Devi, Assistant Professor, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India. Mrs.Ajitha S Raj, Assistant Professor, Department of Computer Science, Womens Christian College, Nagercoil, Tamil Nadu, India and Researcher, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India. Mr.A.Chockalingam, Assistant Professor Temp and Researcher, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India. Mrs.S.SUNITHA, Assistant Professor, Department of Computer Science, Womens Christian College, Nagercoil, Tamil Nadu, India. Mrs.S.GNANA SOPHIA, Assistant Professor, Department of Computer Applications, Scott Christian College Autonomous , Nagercoil, Tamil Nadu, India.

Advances in Financial Machine Learning

Marcos Lopez de Prado
Advances in Financial Machine Learning Book PDF

Author : Marcos Lopez de Prado
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 50,7 Mb
Release : 2018-01-23
Category : Business & Economics
ISBN : 9781119482116

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Advances in Financial Machine Learning by Marcos Lopez de Prado Pdf

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

Deep Learning Applications and Intelligent Decision Making in Engineering

Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi
Deep Learning Applications and Intelligent Decision Making in Engineering Book PDF

Author : Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi
Publisher : IGI Global
Page : 332 pages
File Size : 40,6 Mb
Release : 2020-10-23
Category : Technology & Engineering
ISBN : 9781799821106

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Deep Learning Applications and Intelligent Decision Making in Engineering by Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi Pdf

Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.

Advanced Automated Software Testing: Frameworks for Refined Practice

Alsmadi, Izzat
Advanced Automated Software Testing Frameworks for Refined Practice Book PDF

Author : Alsmadi, Izzat
Publisher : IGI Global
Page : 289 pages
File Size : 48,9 Mb
Release : 2012-01-31
Category : Computers
ISBN : 9781466600904

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Advanced Automated Software Testing: Frameworks for Refined Practice by Alsmadi, Izzat Pdf

"This book discusses the current state of test automation practices, as it includes chapters related to software test automation and its validity and applicability in different domains"--Provided by publisher.

Advances in Computers

Marvin Zelkowitz
Advances in Computers Book PDF

Author : Marvin Zelkowitz
Publisher : Elsevier
Page : 344 pages
File Size : 53,7 Mb
Release : 2006-04-25
Category : Computers
ISBN : 0080462863

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Advances in Computers by Marvin Zelkowitz Pdf

This volume of Advances in Computers is number 66 in the series that began back in 1960. This series presents the ever changing landscape in the continuing evolution of the development of the computer and the field of information processing. Each year three volumes are produced presenting approximately 20 chapters that describe the latest technology in the use of computers today. Volume 66, subtitled "Quality software development," is concerned about the current need to create quality software. It describes the current emphasis in techniques for creating such software and in methods to demonstrate that the software indeed meets the expectations of the designers and purchasers of that software. In-depth surveys and tutorials on software development approaches Well-known authors and researchers in the field Extensive bibliographies with most chapters All chapters focus on software development issues Discussion of high end computing applications, a topic generally not understood by most software professionals

Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects

Meziane, Farid,Vadera, Sunil
Artificial Intelligence Applications for Improved Software Engineering Development New Prospects Book PDF

Author : Meziane, Farid,Vadera, Sunil
Publisher : IGI Global
Page : 372 pages
File Size : 51,7 Mb
Release : 2009-07-31
Category : Computers
ISBN : 9781605667591

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Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects by Meziane, Farid,Vadera, Sunil Pdf

"This book provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement"--Provided by publisher.

Applications of Artificial Intelligence in Process Systems Engineering

Jingzheng Ren,Weifeng Shen,Yi Man,Lichun Dong
Applications of Artificial Intelligence in Process Systems Engineering Book PDF

Author : Jingzheng Ren,Weifeng Shen,Yi Man,Lichun Dong
Publisher : Elsevier
Page : 542 pages
File Size : 44,6 Mb
Release : 2021-06-05
Category : Technology & Engineering
ISBN : 9780128217436

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Applications of Artificial Intelligence in Process Systems Engineering by Jingzheng Ren,Weifeng Shen,Yi Man,Lichun Dong Pdf

Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering

Handbook on Artificial Intelligence-Empowered Applied Software Engineering

Maria Virvou,George A. Tsihrintzis,Nikolaos G. Bourbakis,Lakhmi C. Jain
Handbook on Artificial Intelligence Empowered Applied Software Engineering Book PDF

Author : Maria Virvou,George A. Tsihrintzis,Nikolaos G. Bourbakis,Lakhmi C. Jain
Publisher : Springer Nature
Page : 342 pages
File Size : 49,7 Mb
Release : 2022-09-03
Category : Technology & Engineering
ISBN : 9783031082023

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Handbook on Artificial Intelligence-Empowered Applied Software Engineering by Maria Virvou,George A. Tsihrintzis,Nikolaos G. Bourbakis,Lakhmi C. Jain Pdf

This book provides a structured overview of artificial intelligence-empowered applied software engineering. Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions lead current research towards the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. This book at hand, devoted to Novel Methodologies to Engineering Smart Software Systems Novel Methodologies to Engineering Smart Software Systems, constitutes the first volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in (i) Artificial Intelligence-Assisted Software Development and (ii) Software Engineering Tools to develop Artificial Intelligence Applications, as well as a detailed Survey of Recent Relevant Literature. Professors, researchers, scientists, engineers and students in artificial intelligence, software engineering and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.

Artificial Intelligence and Machine Learning for Smart Community

T V Ramana,G S Pradeep Ghantasala,R Sathiyaraj,Mudassir Khan
Artificial Intelligence and Machine Learning for Smart Community Book PDF

Author : T V Ramana,G S Pradeep Ghantasala,R Sathiyaraj,Mudassir Khan
Publisher : CRC Press
Page : 148 pages
File Size : 46,9 Mb
Release : 2024-01-26
Category : Computers
ISBN : 9781003835721

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Artificial Intelligence and Machine Learning for Smart Community by T V Ramana,G S Pradeep Ghantasala,R Sathiyaraj,Mudassir Khan Pdf

Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities. Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems Discusses the integration of artificial intelligence with machine learning using mathematical modeling Elaborates concepts like supervised and unsupervised learning, and machine learning algorithms, such as linear regression, logistic regression, random forest, and performance evaluation matrices Introduces modern algorithms such as convolutional neural networks and support vector machines Presents case studies on smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern community, and smart machines Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of artificial intelligence and machine learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner.

Advanced Analytics and Deep Learning Models

Archana Mire,Shaveta Malik,Amit Kumar Tyagi
Advanced Analytics and Deep Learning Models Book PDF

Author : Archana Mire,Shaveta Malik,Amit Kumar Tyagi
Publisher : John Wiley & Sons
Page : 436 pages
File Size : 40,5 Mb
Release : 2022-05-03
Category : Computers
ISBN : 9781119792413

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Advanced Analytics and Deep Learning Models by Archana Mire,Shaveta Malik,Amit Kumar Tyagi Pdf

Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with all kinds of problems and challenges that include collecting unlabeled and uncategorized raw data, extracting complex patterns from a large amount of data, retrieving fast information, tagging data, etc. This book contains 16 chapters on artificial intelligence, machine learning, deep learning, and their uses in many useful sectors like stock market prediction, a recommendation system for better service selection, e-healthcare, telemedicine, transportation. There are also chapters on innovations and future opportunities with fog computing/cloud computing and artificial intelligence. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in healthcare, telemedicine, transportation, and the financial sector. The book will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning.

Artificial Intelligence and Machine Learning Fundamentals

Zsolt Nagy
Artificial Intelligence and Machine Learning Fundamentals Book PDF

Author : Zsolt Nagy
Publisher : Packt Publishing Ltd
Page : 330 pages
File Size : 43,9 Mb
Release : 2018-12-12
Category : Computers
ISBN : 9781789809206

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Artificial Intelligence and Machine Learning Fundamentals by Zsolt Nagy Pdf

Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail with interesting examplesMaster core AI concepts with engaging activitiesBook Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using decision trees and random forestsCarry out clustering using the k-means and mean shift algorithmsUnderstand the fundamentals of deep learning via practical examplesWho this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).

Systems Analysis and Design for Advanced Modeling Methods: Best Practices

Bajaj, Akhilesh,Wrycza, Stanislaw
Systems Analysis and Design for Advanced Modeling Methods Best Practices Book PDF

Author : Bajaj, Akhilesh,Wrycza, Stanislaw
Publisher : IGI Global
Page : 304 pages
File Size : 50,5 Mb
Release : 2009-04-30
Category : Education
ISBN : 9781605663456

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Systems Analysis and Design for Advanced Modeling Methods: Best Practices by Bajaj, Akhilesh,Wrycza, Stanislaw Pdf

Covers research in the area of systems analysis and design practices and methodologies.