2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) PDF Download
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Author: IEEE Staff
Publisher:
ISBN: 9781728184715
Category :
Languages : en
Pages :
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Book Description
The conference focuses on all areas of Machine Learning and its application to industry, medicine, manufacturing, security, robotics, biology, and game playing
Author: IEEE Staff
Publisher:
ISBN: 9781728184715
Category :
Languages : en
Pages :
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Book Description
The conference focuses on all areas of Machine Learning and its application to industry, medicine, manufacturing, security, robotics, biology, and game playing
Author: Harish Sharma
Publisher: Springer Nature
ISBN: 9819984793
Category : Technology & Engineering
Languages : en
Pages : 531
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Book Description
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.
Author: M. Arif Wani
Publisher: Springer Nature
ISBN: 9811961530
Category : Technology & Engineering
Languages : en
Pages : 394
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Book Description
This book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021). It focuses on deep learning networks and their applications in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. The book is fourth in the series published since 2017.
Author:
Publisher:
ISBN: 9781665462839
Category :
Languages : en
Pages : 0
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Book Description
Author: Sushil C. Dimri
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3111229637
Category : Computers
Languages : en
Pages : 231
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Book Description
Algorithms are ubiquitous in the contemporary technological world, and they ultimately consist of finite sequences of instructions used to accomplish tasks with necessary input values. This book analyses the top performing algorithms in areas as diverse as Big Data, Artificial Intelligence, Optimization Techniques and Cloud & Cyber Security Systems in order to explore their power and limitations.
Author: IEEE Staff
Publisher:
ISBN: 9781509061679
Category :
Languages : en
Pages :
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Book Description
The conference focuses on all areas of machine learning and its applications in medicine, biology, industry, manufacturing, security, education, virtual environments, game playing big data, deep learning, and problem solving
Author: Vijay Singh Rathore
Publisher: Springer Nature
ISBN: 9811911223
Category : Technology & Engineering
Languages : en
Pages : 705
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Book Description
The book presents high-quality, peer-reviewed papers from the FICR International Conference on Rising Threats in Expert Applications and Solutions 2022 organized by IIS (Deemed to be University), Jaipur, Rajasthan, India, during January 7–8, 2022. The volume is a collection of innovative ideas from researchers, scientists, academicians, industry professionals, and students. The book covers a variety of topics, such as expert applications and artificial intelligence/machine learning; advance web technologies such as IoT, big data, cloud computing in expert applications; information and cyber security threats and solutions, multimedia applications in forensics, security and intelligence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences.
Author: M. Arif Wani
Publisher: Springer Nature
ISBN: 9811633576
Category : Technology & Engineering
Languages : en
Pages : 328
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Book Description
This book presents a compilation of extended version of selected papers from the 19th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2020) and focuses on deep learning networks in applications such as pneumonia detection in chest X-ray images, object detection and classification, RGB and depth image fusion, NLP tasks, dimensionality estimation, time series forecasting, building electric power grid for controllable energy resources, guiding charities in maximizing donations, and robotic control in industrial environments. Novel ways of using convolutional neural networks, recurrent neural network, autoencoder, deep evidential active learning, deep rapid class augmentation techniques, BERT models, multi-task learning networks, model compression and acceleration techniques, and conditional Feature Augmented and Transformed GAN (cFAT-GAN) 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 algorithms in real-world applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers.
Author: Lobo, Victor
Publisher: IGI Global
ISBN: 1799894320
Category : Computers
Languages : en
Pages : 292
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Book Description
The growth of innovative cyber threats, many based on metamorphosing techniques, has led to security breaches and the exposure of critical information in sites that were thought to be impenetrable. The consequences of these hacking actions were, inevitably, privacy violation, data corruption, or information leaking. Machine learning and data mining techniques have significant applications in the domains of privacy protection and cybersecurity, including intrusion detection, authentication, and website defacement detection, that can help to combat these breaches. Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity provides machine and deep learning methods for analysis and characterization of events regarding privacy and anomaly detection as well as for establishing predictive models for cyber attacks or privacy violations. It provides case studies of the use of these techniques and discusses the expected future developments on privacy and cybersecurity applications. Covering topics such as behavior-based authentication, machine learning attacks, and privacy preservation, this book is a crucial resource for IT specialists, computer engineers, industry professionals, privacy specialists, security professionals, consultants, researchers, academicians, and students and educators of higher education.
Author: Yashwant Singh
Publisher: Springer Nature
ISBN: 9811998760
Category : Technology & Engineering
Languages : en
Pages : 668
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Book Description
This book features selected papers presented at the 5th International Conference on Recent Innovations in Computing (ICRIC 2022), held on May 13–14, 2022, at the Central University of Jammu, India, and organized by the university’s Department of Computer Science and Information Technology. The conference was hosted in association with ELTE, Hungary; Knowledge University, Erbil; Cyber Security Research Lab and many other national & international partners. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.
