Items related to Hybrid Soft Computing Techniques for Machine Learning...

Hybrid Soft Computing Techniques for Machine Learning and Optimization - Hardcover

 
9798369368640: Hybrid Soft Computing Techniques for Machine Learning and Optimization

Synopsis

Soft computing approaches, such as fuzzy logic, neural networks, and genetic algorithms, can be integrated into the realms of data analysis and decision making. They can be applied to tackle complex data analysis tasks and support decision-making processes in various domains, including healthcare, finance, manufacturing, and transportation. By extracting meaningful patterns, soft computing techniques may increase the effectiveness and efficiency in handling large datasets. In this way, they may be useful for facilitating decision making in uncertain and dynamic environments. Hybrid Soft Computing Techniques for Machine Learning and Optimization bridges the gap between theoretical knowledge and practical applications in soft computing and data analysis. It explores advancements and innovations in industries where data-driven decision making is crucial. Covering topics such as learning, biomedical signal processing, and entity behaviors, this book is an excellent resource for computer scientists, engineers, practitioners, healthcare professionals, finance professionals, manufacturers, transportation specialists, professionals, researchers scholars, academicians, and more.

"synopsis" may belong to another edition of this title.

About the Author

Dr Vinod Kumar Shukla is currently working with Amity University, Dubai, U.A.E., as Associate Professor and Head of Academics for the Engineering Architecture and Interior Design department. He has more than 15 years of experience. He has completed his PhD in "Semantic Web and Ontology" and is an active member of IEEE. He has appeared in the prestigious Stanford's list, USA of top 2% of scientists for in 2022. He has authored 100+ research publications in journals, book chapters and Conferences, and have 500+ plus Scopus citations. He has edited books in the field of Data Science, Artificial Intelligence, Blockchain, Industry 4.0 and Healthcare, and People Analytics. He is the recipient of various awards such as the "Global Academic Excellence Award- 2021", "Faculty Achievement Award" under the category of research publication in continuous two years 2021, 2022, "Best Paper Award" in the International Conference on Machine Intelligence and Data Science Application- 2020". His research area includes cyber security, the Internet of Things, and Blockchain. Currently, he is working on the books and exploring the transition of technologies and their possible impact from Industry 4.0 to Industry 5.0.

"About this title" may belong to another edition of this title.

Buy Used

Condition: As New
Unread book in perfect condition...
View this item

US$ 2.64 shipping within U.S.A.

Destination, rates & speeds

Search results for Hybrid Soft Computing Techniques for Machine Learning...

Seller Image

Marriwala, Nikhil Kumar (EDT); Jain, Shruti (EDT); Shukla, Vinod Kumar (EDT); Kumar, Dinesh (EDT)
Published by IGI Global, 2025
ISBN 13: 9798369368640
Used Hardcover

Seller: GreatBookPrices, Columbia, MD, U.S.A.

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: As New. Unread book in perfect condition. Seller Inventory # 50105053

Contact seller

Buy Used

US$ 229.50
Convert currency
Shipping: US$ 2.64
Within U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket

Seller Image

Marriwala, Nikhil Kumar (EDT); Jain, Shruti (EDT); Shukla, Vinod Kumar (EDT); Kumar, Dinesh (EDT)
Published by IGI Global, 2025
ISBN 13: 9798369368640
Used Hardcover

Seller: GreatBookPricesUK, Woodford Green, United Kingdom

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: As New. Unread book in perfect condition. Seller Inventory # 50105053

Contact seller

Buy Used

US$ 245.57
Convert currency
Shipping: US$ 20.58
From United Kingdom to U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket

Seller Image

Marriwala, Nikhil Kumar (EDT); Jain, Shruti (EDT); Shukla, Vinod Kumar (EDT); Kumar, Dinesh (EDT)
Published by IGI Global, 2025
ISBN 13: 9798369368640
New Hardcover

Seller: GreatBookPrices, Columbia, MD, U.S.A.

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. Seller Inventory # 50105053-n

Contact seller

Buy New

US$ 277.38
Convert currency
Shipping: US$ 2.64
Within U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket

Stock Image

Published by IGI Global, 2025
ISBN 13: 9798369368640
New Hardcover

Seller: Ria Christie Collections, Uxbridge, United Kingdom

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. In. Seller Inventory # ria9798369368640_new

Contact seller

Buy New

US$ 263.60
Convert currency
Shipping: US$ 16.43
From United Kingdom to U.S.A.
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Seller Image

Marriwala, Nikhil Kumar (EDT); Jain, Shruti (EDT); Shukla, Vinod Kumar (EDT); Kumar, Dinesh (EDT)
Published by IGI Global, 2025
ISBN 13: 9798369368640
New Hardcover

Seller: GreatBookPricesUK, Woodford Green, United Kingdom

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. Seller Inventory # 50105053-n

Contact seller

Buy New

US$ 263.58
Convert currency
Shipping: US$ 20.58
From United Kingdom to U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket

Stock Image

Nikhil Kumar Marriwala
Published by IGI Global, 2025
ISBN 13: 9798369368640
New Hardcover

Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Hardcover. Condition: new. Hardcover. Soft computing approaches, such as fuzzy logic, neural networks, and genetic algorithms, can be integrated into the realms of data analysis and decision making. They can be applied to tackle complex data analysis tasks and support decision-making processes in various domains, including healthcare, finance, manufacturing, and transportation. By extracting meaningful patterns, soft computing techniques may increase the effectiveness and efficiency in handling large datasets. In this way, they may be useful for facilitating decision making in uncertain and dynamic environments. Hybrid Soft Computing Techniques for Machine Learning and Optimization bridges the gap between theoretical knowledge and practical applications in soft computing and data analysis. It explores advancements and innovations in industries where data-driven decision making is crucial. Covering topics such as learning, biomedical signal processing, and entity behaviors, this book is an excellent resource for computer scientists, engineers, practitioners, healthcare professionals, finance professionals, manufacturers, transportation specialists, professionals, researchers scholars, academicians, and more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798369368640

Contact seller

Buy New

US$ 295.81
Convert currency
Shipping: FREE
Within U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket

Stock Image

Nikhil Kumar Marriwala
Published by IGI Global, 2025
ISBN 13: 9798369368640
New Hardcover

Seller: CitiRetail, Stevenage, United Kingdom

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Hardcover. Condition: new. Hardcover. Soft computing approaches, such as fuzzy logic, neural networks, and genetic algorithms, can be integrated into the realms of data analysis and decision making. They can be applied to tackle complex data analysis tasks and support decision-making processes in various domains, including healthcare, finance, manufacturing, and transportation. By extracting meaningful patterns, soft computing techniques may increase the effectiveness and efficiency in handling large datasets. In this way, they may be useful for facilitating decision making in uncertain and dynamic environments. Hybrid Soft Computing Techniques for Machine Learning and Optimization bridges the gap between theoretical knowledge and practical applications in soft computing and data analysis. It explores advancements and innovations in industries where data-driven decision making is crucial. Covering topics such as learning, biomedical signal processing, and entity behaviors, this book is an excellent resource for computer scientists, engineers, practitioners, healthcare professionals, finance professionals, manufacturers, transportation specialists, professionals, researchers scholars, academicians, and more. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798369368640

Contact seller

Buy New

US$ 276.22
Convert currency
Shipping: US$ 50.76
From United Kingdom to U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket

Stock Image

Nikhil Kumar Marriwala
Published by IGI Global, 2025
ISBN 13: 9798369368640
New Hardcover

Seller: AussieBookSeller, Truganina, VIC, Australia

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Hardcover. Condition: new. Hardcover. Soft computing approaches, such as fuzzy logic, neural networks, and genetic algorithms, can be integrated into the realms of data analysis and decision making. They can be applied to tackle complex data analysis tasks and support decision-making processes in various domains, including healthcare, finance, manufacturing, and transportation. By extracting meaningful patterns, soft computing techniques may increase the effectiveness and efficiency in handling large datasets. In this way, they may be useful for facilitating decision making in uncertain and dynamic environments. Hybrid Soft Computing Techniques for Machine Learning and Optimization bridges the gap between theoretical knowledge and practical applications in soft computing and data analysis. It explores advancements and innovations in industries where data-driven decision making is crucial. Covering topics such as learning, biomedical signal processing, and entity behaviors, this book is an excellent resource for computer scientists, engineers, practitioners, healthcare professionals, finance professionals, manufacturers, transportation specialists, professionals, researchers scholars, academicians, and more. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798369368640

Contact seller

Buy New

US$ 361.10
Convert currency
Shipping: US$ 37.00
From Australia to U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket