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Machine learning hybridization and optimization for intelligent applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine learning hybridization and optimization for intelligent applications /edited by Tanvir Habib Sardar and Bishwajeet Kumar Pandey.
other author:	Pandey, Bishwajeet,
Description:	334 pages :illustrations (black and white) ;24 cm.
Subject:	Machine learningIndustrial applications.
ISBN:	9781032737539

Machine learning hybridization and optimization for intelligent applications /
Machine learning hybridization and optimization for intelligent applications /edited by Tanvir Habib Sardar and Bishwajeet Kumar Pandey. - First edition. - 334 pages :illustrations (black and white) ;24 cm. - Computational intelligence techniques.

Includes bibliographical references and index.

Big data computing -- transforming from cloud computing to edge scheduling perspectives review / Sandhya Rani Nallola, Vadivel Ayyasamy -- Decision making in the field of unmanned aerial vehicles : state-of-the-art / Sohini Ghosh, Bishwayan Ghosh, Suneeta Mohanty, Prasant Kumar Pattnaik -- A brief study on understanding and handling COVID-19 : test bed for forecasting with deep learning and machine learning algorithms / Premalatha M, Anusooya G, Suganya G, Braveen M, Venkatasubramanian Adhinarayanan -- AgTech : using sensors and analytics to revolutionize farming practices (IoT) / Shola Usharani, Alabhya Sharma, Aniket Kulkarni, Abhay Arora,Hritik Goel -- Developing AI based multi-task transfer learning framework for automating judicial contracts / Aswiga R V -- Analysis of deep learning methodologies for handling non-medical big data's and very limited medical data's with feature extraction and annotation techniques / Aswiga R V -- Introduction to virtualization security and cloud security / Sonal Sharma, D. Lohith Kumar, Er. Ashish Vijay -- Security breaches in IoT applications : an extensive study / Silpa C, M Ganesh Karthik, K G Suma, Aari Sai Prasanna, Aluri Haritha Arun -- Arrhythmia detection using machine learning algorithms / R. Anandha Praba, L. Suganthi and E.S. Selva Priya -- A big data analytics : the classification of remote sensing images using machine learning techniques / Pushpalatha V, Mahendra H N, Shoaib Kamal, Mallikarjun Swamy S -- Segmentation of transmission tower components based on machine learning / Satheeswari Damodaran, Leninisha Shanmugam, Parkavi K, Nirmala Venkatachalam -- A systematic analysis on robot path planning and optimization techniques / Pallapothala Tejaswini, Kaushlendra Sharma, Rajesh Doriya -- Pneumonia prediction model using deep learning on docker / Yash Seth, A Philip, Jinen Rathore, Gayathri R and Shola Usharani -- A sequential deep learning model approach to OCR based handwritten digit recognition for physically impaired people / Charan S, Sheena Christabel Pravin, Rohith G, Kiruthika V, Yaswant T -- A deep learning strategy to Sign Language Classification and Recognition for hearing impaired people / Souvagya Ganguli, Sumit Anand, Supriti Das, and Rohith G -- Non-fungible tokens (NFT) : the design and development of Obstacle Assault Game and Turtle Sidestep game / Sam Methuselah, Vishal Singh, Neel Raval, Vedant Bisen, Adrika Tamuly, Sisira Mondreti, PrinceAttri and Rohith G -- Design and development of 2D space shooter game and arcade game using Unity / Jaiveer Singh Rathore, Arunava Mukherjee, Sradha N, Saumya Bhardwaj, Rohan Purkait, Harsh Mathur, and Rohith G -- An ensemble technique using genetic algorithm and deep learning for the prediction of rice diseases / Sunanda Das, Tanvir H. Sardar, Sahana DS -- History of machine learning / Deepak K. Sinha, Garima Sinha -- Internet of things start-ups : an overview of the privacy and security in IoT startups / Suguna M, Aswathy Sreenivasan, Suresh M, Om Kumar C U.

"This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, the discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation. Features: Focuses on hybridization and optimization of machine learning techniques. Reviews supervised, unsupervised and reinforcement learning using case study based applications. Covers latest machine learning applications in diverse domains as IoT, data science, cloud computing, distributed and parallel computing. Explains computing models using real world examples and dataset based experiments. Includes case study based explanations and usage for machine learning technologies and applications This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering"--

ISBN: 9781032737539

Standard No.: CIPO000126263

LCCN: 2024017722

Nat. Bib. No.: GBC4B7450bnb

Nat. Bib. Agency Control No.: 300298912UkSubjects--Topical Terms:

529947
Machine learning
--Industrial applications.

LC Class. No.: Q325.5 / .M32195 2025

Dewey Class. No.: 006.3/1

Machine learning hybridization and optimization for intelligent applications /
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245 0 0 $a Machine learning hybridization and optimization for intelligent applications / $c edited by Tanvir Habib Sardar and Bishwajeet Kumar Pandey.
250 $a First edition.
264 1 $a Boca Raton : $b CRC Press, $c 2025.
300 $a 334 pages : $b illustrations (black and white) ; $c 24 cm.
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490 0 $a Computational intelligence techniques
504 $a Includes bibliographical references and index.
505 0 $a Big data computing -- transforming from cloud computing to edge scheduling perspectives review / Sandhya Rani Nallola, Vadivel Ayyasamy -- Decision making in the field of unmanned aerial vehicles : state-of-the-art / Sohini Ghosh, Bishwayan Ghosh, Suneeta Mohanty, Prasant Kumar Pattnaik -- A brief study on understanding and handling COVID-19 : test bed for forecasting with deep learning and machine learning algorithms / Premalatha M, Anusooya G, Suganya G, Braveen M, Venkatasubramanian Adhinarayanan -- AgTech : using sensors and analytics to revolutionize farming practices (IoT) / Shola Usharani, Alabhya Sharma, Aniket Kulkarni, Abhay Arora,Hritik Goel -- Developing AI based multi-task transfer learning framework for automating judicial contracts / Aswiga R V -- Analysis of deep learning methodologies for handling non-medical big data's and very limited medical data's with feature extraction and annotation techniques / Aswiga R V -- Introduction to virtualization security and cloud security / Sonal Sharma, D. Lohith Kumar, Er. Ashish Vijay -- Security breaches in IoT applications : an extensive study / Silpa C, M Ganesh Karthik, K G Suma, Aari Sai Prasanna, Aluri Haritha Arun -- Arrhythmia detection using machine learning algorithms / R. Anandha Praba, L. Suganthi and E.S. Selva Priya -- A big data analytics : the classification of remote sensing images using machine learning techniques / Pushpalatha V, Mahendra H N, Shoaib Kamal, Mallikarjun Swamy S -- Segmentation of transmission tower components based on machine learning / Satheeswari Damodaran, Leninisha Shanmugam, Parkavi K, Nirmala Venkatachalam -- A systematic analysis on robot path planning and optimization techniques / Pallapothala Tejaswini, Kaushlendra Sharma, Rajesh Doriya -- Pneumonia prediction model using deep learning on docker / Yash Seth, A Philip, Jinen Rathore, Gayathri R and Shola Usharani -- A sequential deep learning model approach to OCR based handwritten digit recognition for physically impaired people / Charan S, Sheena Christabel Pravin, Rohith G, Kiruthika V, Yaswant T -- A deep learning strategy to Sign Language Classification and Recognition for hearing impaired people / Souvagya Ganguli, Sumit Anand, Supriti Das, and Rohith G -- Non-fungible tokens (NFT) : the design and development of Obstacle Assault Game and Turtle Sidestep game / Sam Methuselah, Vishal Singh, Neel Raval, Vedant Bisen, Adrika Tamuly, Sisira Mondreti, PrinceAttri and Rohith G -- Design and development of 2D space shooter game and arcade game using Unity / Jaiveer Singh Rathore, Arunava Mukherjee, Sradha N, Saumya Bhardwaj, Rohan Purkait, Harsh Mathur, and Rohith G -- An ensemble technique using genetic algorithm and deep learning for the prediction of rice diseases / Sunanda Das, Tanvir H. Sardar, Sahana DS -- History of machine learning / Deepak K. Sinha, Garima Sinha -- Internet of things start-ups : an overview of the privacy and security in IoT startups / Suguna M, Aswathy Sreenivasan, Suresh M, Om Kumar C U.
520 $a "This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, the discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation. Features: Focuses on hybridization and optimization of machine learning techniques. Reviews supervised, unsupervised and reinforcement learning using case study based applications. Covers latest machine learning applications in diverse domains as IoT, data science, cloud computing, distributed and parallel computing. Explains computing models using real world examples and dataset based experiments. Includes case study based explanations and usage for machine learning technologies and applications This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering"-- $c Provided by publisher.
650 0 $a Machine learning $x Industrial applications. $3 529947
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700 1 $a Sardar, Tanvir Habib, $e editor. $3 1009497
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