Synopsis
This book presents a collection of rigorously revised papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023). It focuses on deep learning architectures and their applications in domains such as health care, security and threat detection, education, fault diagnosis, and robotic control in industrial environments. Novel ways of using convolutional neural networks, transformers, autoencoders, graph-based neural networks, and large language models for the above applications are covered in this book. Readers will find insights to help them realize novel ways of using deep learning architectures and models in real-world applications and contexts, making this book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers.
Key Features:
- Presents state-of-the-art research on deep learning
- Covers modern real-world applications of deep learning
- Provides value to students, academic researchers, professionals, software engineers in the industry, and innovative product developers
"synopsis" may belong to another edition of this title.
About the Author
Dr. Uche Onyekpe is a Machine Learning Expert at Ofcom (Office of Communications, UK), where he focuses on developing assessment/audit strategies for AI algorithms used by online platforms such as Instagram, TikTok, and X. He also serves as the Director of the African Institute for Artificial Intelligence, a nonprofit organization dedicated to advancing AI across the African continent.
Dr. Onyekpe previously held academic positions at York St John University and Coventry University on Machine Learning. His professional experience spans various sectors, including health, construction, and transport, where he has led projects at the intersection of artificial intelligence and these fields. He has published numerous research papers in these areas and has several years of experience working as a consultant within the robotics and social care. He has delivered keynote talks at reputable seminars and events on machine learning and applications.
Vasile Palade is a Professor of Artificial Intelligence and Data Science in the Centre for Computational Science and Mathematical Modelling at Coventry University, UK. He previously held several academic and research positions at the University of Oxford - UK, University of Hull - UK, and the University of Galati - Romania. His research interests are in machine learning, with a focus on neural networks and deep learning, and with main application to computer vision, natural language processing, autonomous driving, smart cities, health, among others. Prof. Palade is author and co-author of more than 300 papers in journals and conference proceedings as well as several books on machine learning and applications. He is an Associate Editor for several reputed journals, such as IEEE Transactions on Neural Networks and Learning Systems, and Neural Networks. He has delivered keynote talks to reputed international conferences on machine learning and applications.
Prof. M. Arif Wani completed his M.Tech. in Computer Technology at the Indian Institute of Technology, Delhi, and his PhD in Computer Vision at Cardiff University, UK. He is a Professor at the University of Kashmir, having previously served as a Professor at California State University Bakersfield.
His research interests are in the area of machine learning, with a focus on neural networks, deep learning, computer vision, pattern recognition, and classification tasks. He has published many papers in reputed journals and conferences in these areas. Dr. Wani has co-authored the book ‘Advances in Deep Learning’ and co-edited many books on Machine Learning and Deep Learning applications.
"About this title" may belong to another edition of this title.
Search results for Recent Advances in Deep Learning Applications
Stock Image
Recent Advances in Deep Learning Applications (Hardcover)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. This book presents a collection of rigorously revised papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023). It focuses on deep learning architectures and their applications in domains such as health care, security and threat detection, education, fault diagnosis, and robotic control in industrial environments. Novel ways of using convolutional neural networks, transformers, autoencoders, graph-based neural networks, and large language models for the above applications are covered in this book. Readers will find insights to help them realize novel ways of using deep learning architectures and models in real-world applications and contexts, making this book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers. Key Features:Presents state-of-the-art research on deep learningCovers modern real-world applications of deep learningProvides value to students, academic researchers, professionals, software engineers in the industry, and innovative product developers This book presents a collection of extended papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023) and focuses on deep learning architectures and their applications in domains such as healthcare, security, education, fault diagnosis, and robotic control in industrial environments. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032944623
Stock Image
Recent Advances in Deep Learning Applications : New Techniques and Practical Examples
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 48399000-n
Stock Image
Recent Advances in Deep Learning Applications : New Techniques and Practical Examples
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 48399000-n
Buy New
US$ 160.46
US$ 20.15 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 10 available
Stock Image
Recent Advances in Deep Learning Applications : New Techniques and Practical Examples
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 48399000
Stock Image
Recent Advances in Deep Learning Applications
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 410709135
Buy New
US$ 192.85
US$ 8.73 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 3 available
Stock Image
Recent Advances in Deep Learning Applications : New Techniques and Practical Examples
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 48399000
Buy Used
US$ 185.80
US$ 20.15 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 10 available
Stock Image
Recent Advances in Deep Learning Applications (Hardcover)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. This book presents a collection of rigorously revised papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023). It focuses on deep learning architectures and their applications in domains such as health care, security and threat detection, education, fault diagnosis, and robotic control in industrial environments. Novel ways of using convolutional neural networks, transformers, autoencoders, graph-based neural networks, and large language models for the above applications are covered in this book. Readers will find insights to help them realize novel ways of using deep learning architectures and models in real-world applications and contexts, making this book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers. Key Features:Presents state-of-the-art research on deep learningCovers modern real-world applications of deep learningProvides value to students, academic researchers, professionals, software engineers in the industry, and innovative product developers This book presents a collection of extended papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023) and focuses on deep learning architectures and their applications in domains such as healthcare, security, education, fault diagnosis, and robotic control in industrial environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781032944623
Buy New
US$ 160.47
US$ 49.70 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Stock Image
Recent Advances in Deep Learning Applications
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26403526480
Stock Image
Recent Advances in Deep Learning Applications
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9781032944623
Stock Image
Recent Advances in Deep Learning Applications: New Techniques and Practical Examples
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9781032944623
Buy New
US$ 194.09
US$ 25.86 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available