Ict Innovations 2020 Machine Learning And Applications
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Author |
: Vesna Dimitrova |
Publisher |
: Springer Nature |
Total Pages |
: 246 |
Release |
: 2020-10-29 |
ISBN-10 |
: 9783030620981 |
ISBN-13 |
: 3030620980 |
Rating |
: 4/5 (81 Downloads) |
Synopsis ICT Innovations 2020. Machine Learning and Applications by : Vesna Dimitrova
This book constitutes the refereed proceedings of the 12th International ICT Innovations Conference, ICT Innovations 2020, held in Skopje, North Macedonia, in September 2020. The 12 full papers and 6 short papers presented were carefully reviewed and selected from 60 submissions. The focal point of the volume is machine learning and applications in spheres of business, science and technology.
Author |
: Adam Bohr |
Publisher |
: Academic Press |
Total Pages |
: 385 |
Release |
: 2020-06-21 |
ISBN-10 |
: 9780128184394 |
ISBN-13 |
: 0128184396 |
Rating |
: 4/5 (94 Downloads) |
Synopsis Artificial Intelligence in Healthcare by : Adam Bohr
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author |
: Meenu Gupta |
Publisher |
: CRC Press |
Total Pages |
: 227 |
Release |
: 2023-02-10 |
ISBN-10 |
: 9781000829440 |
ISBN-13 |
: 1000829448 |
Rating |
: 4/5 (40 Downloads) |
Synopsis Computational Intelligence in Healthcare by : Meenu Gupta
Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems offer great improvement in healthcare systems by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing, and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the field of healthcare systems by extracting the useful information from the vast amounts of data by applying human expertise and CI methods, such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with them. Contained in the book are state-of-the-art CI methods and other allied techniques used in healthcare systems as well as advances in different CI methods that confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide the latest research related to the healthcare sector to researchers and engineers with a platform encompassing state-of-the-art innovations, research and design, and the implementation of methodologies.
Author |
: Kim Phuc Tran |
Publisher |
: CRC Press |
Total Pages |
: 330 |
Release |
: 2022-10-13 |
ISBN-10 |
: 9781000771442 |
ISBN-13 |
: 100077144X |
Rating |
: 4/5 (42 Downloads) |
Synopsis Machine Learning and Probabilistic Graphical Models for Decision Support Systems by : Kim Phuc Tran
This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.
Author |
: Amit Joshi |
Publisher |
: Springer Nature |
Total Pages |
: 500 |
Release |
: |
ISBN-10 |
: 9789819994861 |
ISBN-13 |
: 9819994861 |
Rating |
: 4/5 (61 Downloads) |
Synopsis ICT: Innovation and Computing by : Amit Joshi
Author |
: Daniela Mechkaroska |
Publisher |
: Springer Nature |
Total Pages |
: 100 |
Release |
: 2024-02-13 |
ISBN-10 |
: 9783031501258 |
ISBN-13 |
: 303150125X |
Rating |
: 4/5 (58 Downloads) |
Synopsis Cryptocoding Based on Quasigroups by : Daniela Mechkaroska
This book presents the concept of cryptcoding which arises from the need to obtain secure and accurate transmission. Therefore, it is necessary to improve constantly existing and develop new algorithms that will ensure accurate and secure data transfer. This leads to the intensive development of coding theory and cryptography as scientific fields which solve these problems. To ensure efficient and secure data transmission at the same time, the concept of cryptcoding is developed such that the coding and encryption processes are merged into one process. Cryptcodes provide correction of a certain number of errors in the transmitted message and data confidentiality, using only one algorithm. The main research in this field is to define new algorithms for coding that detects and corrects errors, random codes, stream ciphers, block ciphers, pseudo-random generators, hash functions, etc. This monograph examines an application of quasigroups for designing error-correcting cryptcodes, called Random Codes Based on Quasigroups (RCBQ ). These codes are a combination of cryptographic algorithms and error-correcting codes and depend on several parameters. Some modifications (new coding/decoding algorithms) of RCBQ for improving their performances for transmission ordinary messages, images, and audio files trough a binary-symmetric channel, Gaussian channel, and burst channels are considered. Also, authors propose and analyze filter for visually enhance of the decoded images and improving the quality of decoded audio files.
Author |
: Demet Canga |
Publisher |
: Livre de Lyon |
Total Pages |
: 53 |
Release |
: 2022-06-15 |
ISBN-10 |
: 9782382362730 |
ISBN-13 |
: 2382362731 |
Rating |
: 4/5 (30 Downloads) |
Synopsis Information and Communication Technologies (ICT) and Precision Livestock (PLF) Applications in Farm Conditions by : Demet Canga
Information and Communication Technologies (ICT) and Precision Livestock (PLF) Applications in Farm Conditions
Author |
: Hashmi, Mohamamd Farukh |
Publisher |
: IGI Global |
Total Pages |
: 276 |
Release |
: 2023-08-29 |
ISBN-10 |
: 9781668499764 |
ISBN-13 |
: 1668499762 |
Rating |
: 4/5 (64 Downloads) |
Synopsis Machine Learning and Deep Learning for Smart Agriculture and Applications by : Hashmi, Mohamamd Farukh
Machine Learning and Deep Learning for Smart Agriculture and Applications delves into the captivating realm of artificial intelligence and its pivotal role in transforming the landscape of modern agriculture. With a focus on precision agriculture, digital farming, and emerging concepts, this book illuminates the significance of sustainable food production and resource management in the face of evolving digital hardware and software technologies. Geospatial technology, robotics, the Internet of Things (IoT), and data analytics converge with machine learning and big data to unlock new possibilities in agricultural management. This book explores the synergy between these disciplines, offering cutting-edge insights into data-intensive processes within operational agricultural environments. From automated irrigation systems and agricultural drones for field analysis to crop monitoring and precision agriculture, the applications of machine learning are far-reaching. Animal identification and health monitoring also benefit from these advanced techniques. With practical case studies on vegetable and fruit leaf disease detection, drone-based agriculture, and the impact of pesticides on plants, this book provides a comprehensive understanding of the applications of machine learning and deep learning in smart agriculture. It also examines various modeling techniques employed in this field and showcases how artificial intelligence can revolutionize plant disease detection. This book serves as a comprehensive guide for researchers, practitioners, and students seeking to harness the power of AI in transforming the agricultural landscape.
Author |
: Marija Mihova |
Publisher |
: Springer Nature |
Total Pages |
: 274 |
Release |
: |
ISBN-10 |
: 9783031543210 |
ISBN-13 |
: 3031543211 |
Rating |
: 4/5 (10 Downloads) |
Synopsis ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data by : Marija Mihova
Author |
: Chinmay Chakraborty |
Publisher |
: Academic Press |
Total Pages |
: 299 |
Release |
: 2022-09-27 |
ISBN-10 |
: 9780323919364 |
ISBN-13 |
: 0323919367 |
Rating |
: 4/5 (64 Downloads) |
Synopsis Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain by : Chinmay Chakraborty
Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While highlighting IoT, bio-inspired computing, big data, and evolutionary programming, the book explores various concepts and theories of data fusion, IoT, and Big Data Analytics. It also investigates the challenges and methodologies required to integrate data from multiple heterogeneous sources, analytical platforms in healthcare sectors. This book is unique in the way that it provides useful insights into the implementation of a smart and intelligent healthcare system in a post-Covid-19 world using enabling technologies like Artificial Intelligence, Internet of Things, and blockchain in providing transparent, faster, secure and privacy preserved healthcare ecosystem for the masses. - Explains how IoT can be integrated into the healthcare ecosystem for better diagnostics, monitoring and treatment - Includes AI for predictive and preventive healthcare - Describes blockchain for managing healthcare data to provide transparency, security and distributed storage - Offers effective remote diagnostics and telemedicine approaches - Highlights the importance of gold standard medical datasets for improved modeling and analysis