Smart Applications And Data Analysis PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Smart Applications And Data Analysis PDF full book. Access full book title Smart Applications And Data Analysis.
| Author | : Mohamed Hamlich |
| Publisher | : Springer Nature |
| Total Pages | : 461 |
| Release | : 2023-01-01 |
| Genre | : Computers |
| ISBN | : 3031204905 |
Download Smart Applications and Data Analysis Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 4th International Conference on Smart Applications and Data Analysis, SADASC 2022, held in Marrakesh, Morocco,during September 22–24, 2022. The 24 full papers and 11 short papers included in this book were carefully reviewed andselected from 64 submissions. They were organized in topical sections as follows: AI-Driven Methods 1; Networking technologies & IoT; AI-Driven Methods 2; Green Energy, Computing and Technologies 1; AI-Driven Methods 3; Green Energy, Computing and Technologies 2; Case studies and Cyber-Physical Systems 1; Case studies and Cyber-Physical Systems 2; and Case studies and Cyber-Physical Systems 3.
| Author | : Amir H. Alavi |
| Publisher | : Auerbach Publications |
| Total Pages | : 0 |
| Release | : 2023-01-09 |
| Genre | : Big data |
| ISBN | : 9781032475967 |
Download Data Analytics for Smart Cities Book in PDF, ePub and Kindle
This book is a reference for researchers and engineers in domains of advanced computation, optimization and data mining for smart cities and cyber-physical systems. It is also particularly suitable to advanced students who wish to use relevant book chapters as a basis to pursue further research in these areas.
| Author | : Youssef Baddi |
| Publisher | : Springer Nature |
| Total Pages | : 343 |
| Release | : 2022-01-18 |
| Genre | : Computers |
| ISBN | : 3030879542 |
Download Big Data Intelligence for Smart Applications Book in PDF, ePub and Kindle
Today, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
| Author | : Nilanjan Dey |
| Publisher | : CRC Press |
| Total Pages | : 225 |
| Release | : 2019-05-20 |
| Genre | : Computers |
| ISBN | : 0429804571 |
Download Applied Machine Learning for Smart Data Analysis Book in PDF, ePub and Kindle
The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analytics Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets Case studies are covered relating to human health, transportation and Internet applications
| Author | : Kuan-Ching Li |
| Publisher | : CRC Press |
| Total Pages | : 410 |
| Release | : 2019-03-19 |
| Genre | : Business & Economics |
| ISBN | : 0429018037 |
Download Smart Data Book in PDF, ePub and Kindle
Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business Covers data security and privacy, including AI techniques Includes contributions from leading researchers
| Author | : Mohamed Hamlich |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2022 |
| Genre | : |
| ISBN | : 9783031204913 |
Download Smart Applications and Data Analysis Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 4th International Conference on Smart Applications and Data Analysis, SADASC 2022, held in Marrakesh, Morocco, during September 22-24, 2022. The 24 full papers and 11 short papers included in this book were carefully reviewed and selected from 64 submissions. They were organized in topical sections as follows: AI-Driven Methods 1; Networking technologies & IoT; AI-Driven Methods 2; Green Energy, Computing and Technologies 1; AI-Driven Methods 3; Green Energy, Computing and Technologies 2; Case studies and Cyber-Physical Systems 1; Case studies and Cyber-Physical Systems 2; and Case studies and Cyber-Physical Systems 3. .
| Author | : Mohamed Hamlich |
| Publisher | : Springer Nature |
| Total Pages | : 366 |
| Release | : 2020-06-04 |
| Genre | : Computers |
| ISBN | : 3030451836 |
Download Smart Applications and Data Analysis Book in PDF, ePub and Kindle
This volume constitutes refereed proceedings of the Third International Conference on Smart Applications and Data Analysis, SADASC 2020, held in Marrakesh, Morocco. Due to the COVID-19 pandemic the conference has been postponed to June 2020. The 24 full papers and 3 short papers presented were thoroughly reviewed and selected from 44 submissions. The papers are organized according to the following topics: ontologies and meta modeling; cyber physical systems and block-chains; recommender systems; machine learning based applications; combinatorial optimization; simulations and deep learning.
| Author | : Mohammad Ayoub Khan |
| Publisher | : Springer Nature |
| Total Pages | : 322 |
| Release | : 2020-12-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3030609227 |
Download Smart Cities: A Data Analytics Perspective Book in PDF, ePub and Kindle
This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms. There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts, scientists, and scholars exchange ideas and experience about surrounding frontier technologies, breakthrough and innovative solutions and applications.
| Author | : Mohamed Hamlich |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2020 |
| Genre | : Artificial intelligence |
| ISBN | : 9788303045188 |
Download Smart Applications and Data Analysis Book in PDF, ePub and Kindle
This volume constitutes refereed proceedings of the Third International Conference on Smart Applications and Data Analysis, SADASC 2020, held in Marrakesh, Morocco. Due to the COVID-19 pandemic the conference has been postponed to June 2020. The 24 full papers and 3 short papers presented were thoroughly reviewed and selected from 44 submissions. The papers are organized according to the following topics: ontologies and meta modeling; cyber physical systems and block-chains; recommender systems; machine learning based applications; combinatorial optimization; simulations and deep learning.
| Author | : Yi Wang |
| Publisher | : Springer Nature |
| Total Pages | : 306 |
| Release | : 2020-02-24 |
| Genre | : Business & Economics |
| ISBN | : 9811526249 |
Download Smart Meter Data Analytics Book in PDF, ePub and Kindle
This book aims to make the best use of fine-grained smart meter data to process and translate them into actual information and incorporated into consumer behavior modeling and distribution system operations. It begins with an overview of recent developments in smart meter data analytics. Since data management is the basis of further smart meter data analytics and its applications, three issues on data management, i.e., data compression, anomaly detection, and data generation, are subsequently studied. The following works try to model complex consumer behavior. Specific works include load profiling, pattern recognition, personalized price design, socio-demographic information identification, and household behavior coding. On this basis, the book extends consumer behavior in spatial and temporal scale. Works such as consumer aggregation, individual load forecasting, and aggregated load forecasting are introduced. We hope this book can inspire readers to define new problems, apply novel methods, and obtain interesting results with massive smart meter data or even other monitoring data in the power systems.
