Advanced AI Techniques and Applications in Bioinformatics

Name: Advanced AI Techniques and Applications in Bioinformatics
Brand: Taylor & Francis
SKU: 9780367647674
Price: 4326.0 INR
Availability: InStock

by Loveleen Gaur

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ISBN13: 9780367647674
Binding: Paperback
Subject: N/A
Publisher: Taylor & Francis
Publisher Imprint: CRC Press
Publication Date: May 27, 2024
Pages: 282
Original Price: GBP 50.99
Language: English
Edition: N/A
Item Weight: 400 grams
BISAC Subject(s): Biomedical, Artificial Intelligence / General, and Life Sciences / Biology

About The Book

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists.

Features:

Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics

Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms

Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions

Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications

Includes recent achievements in AI and bioinformatics contributed by a global team of researchers

About The Author

Prof. Loveleen Gaur is the Professor and Program Director (Artificial Intelligence

and Business Intelligence and Data Analytics) of the Amity International Business

School, Amity University, Noida, India. She is a senior IEEE member and series editor

with CRC Press and Wiley. Prof. Gaur is an established author and researcher;

she has filed five patents and two copyrights in AI-IoT. For over 18 years she served

in India and abroad in different capacities. She has specialized in the fields of artificial

intelligence, the Internet of Things, data analytics, data mining, and business

intelligence. Prof. Gaur has pursued research in truly inter-disciplinary areas and has

authored and co-authored books with renowned international and national publishers

like Elsevier, Springer, and Taylor & Francis. She was invited to be guest editor for

reputed Springer and Emerald Q1 journals. She has published many research papers

in SCI and Q1 journals. She has chaired various positions in international conferences

of repute and is a reviewer with top-rated journals of IEEE, SCI, and ABDC.

Dr. Arun Solanki is an Assistant Professor in the Department of Computer Science

and Engineering at Gautam Buddha University, Greater Noida, India. He received

his Ph.D. in Computer Science and Engineering from Gautam Buddha University in

2014. He has supervised more than 60 dissertations and has published many research

articles in Scopus indexed international journals. Dr. Solanki is the editor of several

published books and a reviewer in journals published by reputed publishers.

Dr. Samuel Fosso Wamba is a Professor at Toulouse Business School in France.

He earned his Ph.D. in industrial engineering at the Polytechnic School of Montreal,

Canada. His current research focuses on SCM, E&M-commerce, IT-enabled social

inclusion, blockchain, social media, business analytics, big data, and artificial intelligence.

He is academic co-founder of RFID Academia, and founder and CEO of

e-m-RFID. He has published papers in IS and OM journals and conferences. He is

the guest editor of various special issues on IT/RFID/big data for various IS and OM

conferences and journals. He is the head of the newly created Artificial Intelligence

and Business Analytics Cluster at Toulouse Business School.

Dr. Noor Zaman Jhanjhi is an Associate Professor at Taylor University, Malaysia,

with 20 years of rich experience. He is an associate editor for several reputable journals

including IEEE Access and PC, and a board member for several IEEE conferences

around the globe. He is an active reviewer for a series of quality journals. He

has authored several research papers in WoS/ISI indexed journals and in impact

factor research IEEE journals, has edited 12 books in computer science, and has

supervised a number of postgraduate students. He has successfully completed more

than 19 international funded research grants.

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