Artifical Intelligence Algorithm And Its Applications

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Machine Learning Algorithms and Applications

Author : Mettu Srinivas,G. Sucharitha,Anjanna Matta
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 46,7 Mb
Release : 2021-08-10
Category : Computers
ISBN : 9781119769248

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Machine Learning Algorithms and Applications by Mettu Srinivas,G. Sucharitha,Anjanna Matta Pdf

Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms. The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.

From Natural to Artificial Intelligence

Author : Ricardo López-Ruiz
Publisher : Unknown
Page : 218 pages
File Size : 45,9 Mb
Release : 2018
Category : Algorithms
ISBN : 9781789847024

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From Natural to Artificial Intelligence by Ricardo López-Ruiz Pdf

Artificial Intelligence: Models, Algorithms and Applications

Author : Terje Solsvik Kristensen
Publisher : Bentham Science Publishers
Page : 176 pages
File Size : 52,7 Mb
Release : 2021-05-31
Category : Computers
ISBN : 9781681088273

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Artificial Intelligence: Models, Algorithms and Applications by Terje Solsvik Kristensen Pdf

Artificial Intelligence: Models, Algorithms and Applications presents focused information about applications of artificial intelligence (AI) in different areas to solve complex problems. The book presents 8 chapters that demonstrate AI based systems for vessel tracking, mental health assessment, radiology, instrumentation, business intelligence, education and criminology. The book concludes with a chapter on mathematical models of neural networks. The book serves as an introductory book about AI applications at undergraduate and graduate levels and as a reference for industry professionals working with AI based systems.

Intelligent System Algorithms and Applications in Science and Technology

Author : Sunil Pathak,Pramod Kumar Bhatt,Sanjay Kumar Singh,Ashutosh Tripathi,Pankaj Kumar Pandey
Publisher : CRC Press
Page : 428 pages
File Size : 53,8 Mb
Release : 2022-02-03
Category : Computers
ISBN : 9781000406825

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Intelligent System Algorithms and Applications in Science and Technology by Sunil Pathak,Pramod Kumar Bhatt,Sanjay Kumar Singh,Ashutosh Tripathi,Pankaj Kumar Pandey Pdf

The 21st century has witnessed massive changes around the world in intelligence systems in order to become smarter, energy efficient, reliable, and cheaper. This volume explores the application of intelligent techniques in various fields of engineering and technology. It addresses diverse topics in such areas as machine learning-based intelligent systems for healthcare, applications of artificial intelligence and the Internet of Things, intelligent data analytics techniques, intelligent network systems and applications, and inequalities and process control systems. The authors explore the full breadth of the field, which encompasses data analysis, image processing, speech processing and recognition, medical science and healthcare monitoring, smart irrigation systems, insurance and banking, robotics and process control, and more.

Machine Learning Algorithms for Industrial Applications

Author : Santosh Kumar Das,Shom Prasad Das,Nilanjan Dey,Aboul-Ella Hassanien
Publisher : Springer Nature
Page : 321 pages
File Size : 43,9 Mb
Release : 2020-07-18
Category : Technology & Engineering
ISBN : 9783030506414

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Machine Learning Algorithms for Industrial Applications by Santosh Kumar Das,Shom Prasad Das,Nilanjan Dey,Aboul-Ella Hassanien Pdf

This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.

Applications of Artificial Intelligence in Process Systems Engineering

Author : Jingzheng Ren,Weifeng Shen,Yi Man,Lichun Dong
Publisher : Elsevier
Page : 542 pages
File Size : 51,8 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

Machine Learning Algorithms and Applications

Author : Mettu Srinivas,G. Sucharitha,Anjanna Matta
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 48,5 Mb
Release : 2021-08-24
Category : Computers
ISBN : 9781119768852

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Machine Learning Algorithms and Applications by Mettu Srinivas,G. Sucharitha,Anjanna Matta Pdf

Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms. The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.

Artificial Intelligence Methods and Applications

Author : N G Bourbakis
Publisher : World Scientific
Page : 732 pages
File Size : 40,9 Mb
Release : 1992-12-31
Category : Computers
ISBN : 9789814505291

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Artificial Intelligence Methods and Applications by N G Bourbakis Pdf

This volume is the first in a series which deals with the challenge of AI issues, gives updates of AI methods and applications, and promotes high quality new ideas, techniques and methodologies in AI. This volume contains articles by 38 specialists in various AI subfields covering theoretical and application issues. Contents:Introduction to Advanced Series on Artificial Intelligence (N G Bourbakis)Fundamental Methods for Horn Logic and Artificial Intelligence Applications (E Kounalis & P Marquis)Applications of Genetic Algorithms to Permutation Problems (F E Petry & B P Buckles)Extracting Procedural Knowledge from Software Systems Using Inductive Learning in the PM System (R G Reynolds et al.)Resource-Oriented Parallel Planning (S Lee & K Chung)Advanced Parsing Technology for Knowledge-Based Shells (J R Kipps)The Analysis and Synthesis of Intelligent Systems (W Arden)Document Image Analysis and Recognition (S N Srihari et al.)Signal Understanding: An Artificial Intelligence Approach to Modulation Classification (J E Whelchel et al.)and other papers Readership: Computer scientists, researchers and professionals in artificial intelligence. keywords:

Artificial Intelligence Algorithms and Applications

Author : Kangshun Li,Wei Li,Hui Wang,Yong Liu
Publisher : Springer Nature
Page : 811 pages
File Size : 46,7 Mb
Release : 2020-05-25
Category : Computers
ISBN : 9789811555770

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Artificial Intelligence Algorithms and Applications by Kangshun Li,Wei Li,Hui Wang,Yong Liu Pdf

This book constitutes the thoroughly refereed proceedings of the 11th International Symposium on Intelligence Computation and Applications, ISICA 2019, held in Guangzhou, China, in November 2019. The 65 papers presented were carefully reviewed and selected from the total of 112 submissions. This volume features the most up-to-date research in evolutionary algorithms, parallel computing and quantum computing, evolutionary multi-objective and dynamic optimization, intelligent multimedia systems, virtualization and AI applications, smart scheduling, intelligent control, big data and cloud computing, deep learning, and hybrid machine learning systems.The papers are organized according to the following topical sections: new frontier in evolutionary algorithms; evolutionary multi-objective and dynamic optimization; intelligent multimedia systems; virtualization and AI applications; smart scheduling; intelligent control; big data and cloud computing; statistical learning.

Artifical Intelligence Algorithm and its Applications

Author : Dr.B.Balakumar,Dr.J.Syed Nizamudeen Ahmed
Publisher : SK Research Group of Companies
Page : 221 pages
File Size : 43,6 Mb
Release : 2022-11-08
Category : Computers
ISBN : 9789395341028

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Artifical Intelligence Algorithm and its Applications by Dr.B.Balakumar,Dr.J.Syed Nizamudeen Ahmed Pdf

Dr.B.Balakumar, Assistant Professor, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Abhishekapatti, Tirunelveli, Tamil Nadu, India. Dr.J.Syed Nizamudeen Ahmed, Assistant Professor Temp, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Abhishekapatti, Tirunelveli, Tamil Nadu, India.

Machine Learning and Its Application

Author : Indranath Chatterjee
Publisher : Unknown
Page : 356 pages
File Size : 45,8 Mb
Release : 2021-12-22
Category : Electronic
ISBN : 1681089424

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Machine Learning and Its Application by Indranath Chatterjee Pdf

Machine Learning and Its Application: A Quick Guide for Beginners aims to cover most of the core topics required for study in machine learning curricula included in university and college courses. The textbook introduces readers to central concepts in machine learning and artificial intelligence, which include the types of machine learning algorithms and the statistical knowledge required for devising relevant computer algorithms. The book also covers advanced topics such as deep learning and feature engineering. Key features: - 8 organized chapters on core concepts of machine learning for learners - Accessible text for beginners unfamiliar with complex mathematical concepts - Introductory topics are included, including supervised learning, unsupervised learning, reinforcement learning and predictive statistics - Advanced topics such as deep learning and feature engineering provide additional information - Introduces readers to python programming with examples of code for understanding and practice - Includes a summary of the text and a dedicated section for references Machine Learning and Its Application: A Quick Guide for Beginners is an essential book for students and learners who want to understand the basics of machine learning and equip themselves with the knowledge to write algorithms for intelligent data processing applications.

Artificial Intelligence: Theory and Applications

Author : Harish Sharma,Antorweep Chakravorty,Shahid Hussain,Rajani Kumari
Publisher : Springer Nature
Page : 531 pages
File Size : 51,5 Mb
Release : 2024-01-02
Category : Technology & Engineering
ISBN : 9789819984794

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Artificial Intelligence: Theory and Applications by Harish Sharma,Antorweep Chakravorty,Shahid Hussain,Rajani Kumari Pdf

This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.

Advances in Artificial Intelligence and Its Applications

Author : Obdulia Pichardo Lagunas,Oscar Herrera Alcántara,Gustavo Arroyo Figueroa
Publisher : Springer
Page : 619 pages
File Size : 45,8 Mb
Release : 2015-11-19
Category : Computers
ISBN : 9783319271019

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Advances in Artificial Intelligence and Its Applications by Obdulia Pichardo Lagunas,Oscar Herrera Alcántara,Gustavo Arroyo Figueroa Pdf

The two volume set LNAI 9413 + 9414 constitutes the proceedings of the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca,. Morelos, Mexico, in October 2015. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 297 submissions. They were organized in topical sections named: natural language processing; logic and multi-agent systems; bioinspired algorithms; neural networks; evolutionary algorithms; fuzzy logic; machine learning and data mining; natural language processing applications; educational applications; biomedical applications; image processing and computer vision; search and optimization; forecasting; and intelligent applications.

Artificial Intelligence Application Programming

Author : M. Tim Jones
Publisher : Dreamtech Press
Page : 384 pages
File Size : 44,5 Mb
Release : 2024-07-02
Category : Electronic
ISBN : 8177224271

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Artificial Intelligence Application Programming by M. Tim Jones Pdf

Many books on artificial intelligence provide tutorials for AI methods, but their applications are restricted to toy problems that have little relevance in the real world. AI Application Programming covers both the theory and the practical applications to teach developers how to apply AI techniques in their own designs. The book is split by AI subfields (statistical methods, symbolic methods, etc.) to further refine the methods and applications for the reader. Each chapter covers both the theory of the algorithm or the technique under discussion and follows with a practical application of the technique with a detailed discussion of the source code. The purpose of this book is to demystify the techniques associated with the field of artificial intelligence. It will cover a wide variety of techniques currently defined as AI and show how they can be useful in practical, everyday applications.

From Natural to Artificial Intelligence - Algorithms and Applications

Author : Ricardo Lopez-Ruiz
Publisher : Unknown
Page : 216 pages
File Size : 50,8 Mb
Release : 2018
Category : Electronic computers. Computer science
ISBN : 1789847036

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From Natural to Artificial Intelligence - Algorithms and Applications by Ricardo Lopez-Ruiz Pdf

Artificial intelligence (AI) is a field experiencing constant growth and change, with a long history. The challenge to reproduce human behavior in machines requires the interaction of many fields, from engineering to mathematics, from neurology to biology, from computer science to robotics, from web search to social networks, from machine learning to game theory, etc. Numerous applications and possibilities of AI are already a reality but other ones are still needed to reduce the human limitations and to expand the human capability to limits beyond our imagination. This book brings together researchers working on areas related to AI such as speech and face recognition, representation of learning and acoustic scenarios, fuzzy inference and data exploration, cellular automata applications with a special interest in the tools and algorithms that can be applied in these different branches of the AI discipline. The book provides a new reference to an audience interested in the development of this field.