2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
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Published: 2021
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ISBN-13: 9781665417037
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Author:
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Published: 2021
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ISBN-13: 9781665417037
DOWNLOAD EBOOKAuthor: IEEE Staff
Publisher:
Published: 2021-09-03
Total Pages:
ISBN-13: 9781665417044
DOWNLOAD EBOOKIn this globally competitive environment scientific analysis of system under study is the key issues in attaining market leadership This competitive advantage through quality process, product and services in the market place is possible through the development of knowledge bases and easy access to structured databases on systems, processes and technology based on quantitative study Further due to ever emerging new trends of fashion and taste as well as technology, predicting future with certainty can be the daydream This theme is most appropriate in the current context as well as in the future The Conference will not only take stock of trends and developments at the globally competitive environment, but will also provide future directions to young researchers and practitioners
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Published: 2014
Total Pages:
ISBN-13: 9781479968954
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Published: 2015
Total Pages: 877
ISBN-13: 9781467372312
DOWNLOAD EBOOKAuthor: Balvinder Shukla
Publisher:
Published: 2017
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Balvinder Shukla
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DOWNLOAD EBOOKAuthor: IEEE Staff
Publisher:
Published: 2017-09-20
Total Pages:
ISBN-13: 9781509030132
DOWNLOAD EBOOKThe Conference will not only take stock of trends and developments at the globally competitive environment, but will also provide future directions to young researchers and practitioners Besides, it will help in sharing of experience and exchange of ideas, which will foster National collaboration The Conference would be of immense benefit to Management, Researchers, Academicians, Industry and participants from Technical Institutes, R & D Organizations and students working in the field of IT
Author: Pooja Singh
Publisher: CRC Press
Published: 2022-12-20
Total Pages: 398
ISBN-13: 1000798798
DOWNLOAD EBOOKThis text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems. The book: • Discusses intelligent computing through IoT and Big Data in secure and smart healthcare systems. • Covers algorithms, including deterministic algorithms, randomized algorithms, iterative algorithms, and recursive algorithms. • Discusses remote sensing devices in hospitals and local health facilities for patient evaluation and care. • Covers wearable technology applications such as weight control and physical activity tracking for disease prevention and smart healthcare. This book will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. Discussing concepts of smart networks, advanced wireless communication, and technologies in setting up smart healthcare services, this text will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. It covers internet of things (IoT) implementation and challenges in healthcare industries, wireless network, and communication-based optimization algorithms for smart healthcare devices.
Author: Ajith Abraham
Publisher: Springer Nature
Published: 2023-03-27
Total Pages: 931
ISBN-13: 3031275241
DOWNLOAD EBOOKThis book highlights the recent research on soft computing, pattern recognition, nature-inspired computing, and their various practical applications. It presents 69 selected papers from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) and 19 papers from the 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022), which was held online, from December 14 to 16, 2022. A premier conference in the field of soft computing, artificial intelligence, and machine learning applications, SoCPaR-NaBIC 2022 brought together researchers, engineers, and practitioners whose work involves intelligent systems, network security, and their applications in industry. Including contributions by authors from over 25 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.
Author: Ramjan, Sarawut
Publisher: IGI Global
Published: 2023-05-09
Total Pages: 326
ISBN-13: 1668447320
DOWNLOAD EBOOKThe demand for skilled data scientists is rapidly increasing as more organizations recognize the value of data-driven decision- making. Data science, data management, and data mining are all critical components for various types of organizations, including large and small corporations, academic institutions, and government entities. For companies, these components serve to extract insights and value from their data, empowering them to make evidence-driven decisions and gain a competitive advantage by discovering patterns and trends and avoiding costly mistakes. Academic institutions utilize these tools to analyze large datasets and gain insights into various scientific fields of study, including genetic data, climate data, financial data, and in the social sciences they are used to analyze survey data, behavioral data, and public opinion data. Governments use data science to analyze data that can inform policy decisions, such as identifying areas with high crime rates, determining which regions need infrastructure development, and predicting disease outbreaks. However, individuals who are not data science experts, but are experts within their own fields, may need to apply their experience to the data they must manage, but still struggle to expand their knowledge of how to use data mining tools such as RapidMiner software. Principles and Theories of Data Mining With RapidMiner is a comprehensive guide for students and individuals interested in experimenting with data mining using RapidMiner software. This book takes a practical approach to learning through the RapidMiner tool, with exercises and case studies that demonstrate how to apply data mining techniques to real-world scenarios. Readers will learn essential concepts related to data mining, such as supervised learning, unsupervised learning, association rule mining, categorical data, continuous data, and data quality. Additionally, readers will learn how to apply data mining techniques to popular algorithms, including k-nearest neighbor (K-NN), decision tree, naïve bayes, artificial neural network (ANN), k-means clustering, and probabilistic methods. By the end of the book, readers will have the skills and confidence to use RapidMiner software effectively and efficiently, making it an ideal resource for anyone, whether a student or a professional, who needs to expand their knowledge of data mining with RapidMiner software.