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Author : Swagatam Das
Publisher : Springer Nature
Page : 517 pages
File Size : 41,8 Mb
Release : 2024-05-19
Category : Electronic
ISBN : 9789819995318
Author : Swagatam Das
Publisher : Springer Nature
Page : 567 pages
File Size : 53,5 Mb
Release : 2024-05-19
Category : Electronic
ISBN : 9789819995189
Author : Swagatam Das
Publisher : Springer Nature
Page : 553 pages
File Size : 48,8 Mb
Release : 2024-05-19
Category : Electronic
ISBN : 9789819995240
Author : Swagatam Das,Snehanshu Saha,Carlos A. Coello Coello,Jagdish Chand Bansal
Publisher : Springer Nature
Page : 892 pages
File Size : 45,6 Mb
Release : 2023-06-21
Category : Technology & Engineering
ISBN : 9789819909810
The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
Author : Swagatam Das
Publisher : Springer Nature
Page : 536 pages
File Size : 47,7 Mb
Release : 2024-05-19
Category : Electronic
ISBN : 9789819995219
Author : Swagatam Das,Snehanshu Saha,Carlos A. Coello Coello,Hemant Rathore,Jagdish Chand Bansal
Publisher : Springer
Page : 0 pages
File Size : 45,6 Mb
Release : 2024-03-18
Category : Technology & Engineering
ISBN : 9819995302
The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 21 – 23 September 2023. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
Author : Swagatam Das,Snehanshu Saha,Carlos A. Coello Coello,Jagdish Chand Bansal
Publisher : Springer Nature
Page : 885 pages
File Size : 44,7 Mb
Release : 2023-09-04
Category : Technology & Engineering
ISBN : 9789819932504
The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
Author : Jagdish Chand Bansal,Lance C. C. Fung,Milan Simic,Ankush Ghosh
Publisher : Springer Nature
Page : 187 pages
File Size : 55,5 Mb
Release : 2021-04-16
Category : Technology & Engineering
ISBN : 9789813369191
This book aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behaviour of applications. Applications of Artificial intelligence (AI)-based systems play a significant role in today’s software industry. The sensors data from hardware-based systems making a mammoth database, increasing day by day. Recent advances in big data generation and management have created an avenue for decision-makers to utilize these huge volumes of data for different purposes and analyses. AI-based application developers have long utilized conventional machine learning techniques to design better user interfaces and vulnerability predictions. However, with the advancement of deep learning-based and neural-based networks and algorithms, researchers are able to explore and learn more about data and their exposed relationships or hidden features. This new trend of developing data-driven application systems seeks the adaptation of computational neural network algorithms and techniques in many application domains, including software systems, cyber security, human activity recognition, and behavioural modelling. As such, computational neural networks algorithms can be refined to address problems in data-driven applications. Original research and review works with model and build data-driven applications using computational algorithm are included as chapters in this book.
Author : Swagatam Das,Snehanshu Saha,Carlos A. Coello Coello,Jagdish C. Bansal
Publisher : Springer
Page : 0 pages
File Size : 46,7 Mb
Release : 2024-03-20
Category : Technology & Engineering
ISBN : 9819995175
This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
Author : Sharma, Shanu,Prakash, Ayushi,Sugumaran, Vijayan
Publisher : IGI Global
Page : 380 pages
File Size : 42,8 Mb
Release : 2024-03-18
Category : Computers
ISBN : 9798369309698
Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation intelligent systems in the context of the digital transformation era. This comprehensive book delves into the role data plays as a critical asset for organizations across diverse industries, and how recent technological breakthroughs have unlocked unprecedented potential for handling vast data volumes and real-time analysis. The book begins by providing a thorough overview of novel technologies such as artificial intelligence (AI) or machine learning (ML), edge computing, federated learning, quantum computing, and more. These revolutionary technologies, when integrated with big data frameworks, in-memory computing, and AI/ML algorithms, have transformed data processing capabilities, enabling the creation of intelligent systems that fuel innovation, optimize operations, and deliver personalized experiences. The ultimate aim of this integration is to empower devices with the ability to make autonomous intelligent decisions, maximizing computing power. This book serves as a valuable resource for research scholars, academicians, and industry professionals working towards the future advancement of optimized intelligent systems and intelligent data processing approaches. The chapters encompass a wide range of topics, including architecture and frameworks for intelligent systems, applications in diverse domains, cloud-based solutions, quantum processing, federated learning, in-memory data processing, real-time stream processing, trustworthy AI for Internet of Things (IoT) sensory data, and more.
Author : Mangesh M Ghonge,N Krishna Chaitanya,Pradeep N,Harish Garg,Alessandro Bruno
Publisher : Unknown
Page : 0 pages
File Size : 52,8 Mb
Release : 2024-10-02
Category : Computers
ISBN : 1032445963
This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techniques used for handling large user data, and for the data stored in the cloud. It further covers data-driven decision-making for smart logistics and manufacturing systems, network security, and privacy issues in cloud computing. This book: Discusses intelligent systems and cloud computing with the help of artificial intelligence and machine learning. Showcases the importance of machine learning and deep learning in data-driven and cloud-based applications to improve their capabilities and intelligence. Presents the latest developments in data-driven and cloud applications with respect to their design and architecture. Covers artificial intelligence methods along with their experimental result analysis through data processing tools. Presents the advent of machine learning, deep learning, and reinforcement technique for cloud computing to provide cost-effective and efficient services. The text will be useful for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer engineering, manufacturing engineering, and production engineering.
Author : Natalya Shakhovska
Publisher : Springer
Page : 325 pages
File Size : 53,8 Mb
Release : 2016-09-12
Category : Technology & Engineering
ISBN : 9783319459912
The book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issue in big data and cloud computing, computation linguistics, cyber-physical systems as well as topics in intelligent information management. Written by active researchers, the different chapters are based on contributions presented at the workshop in intelligent systems and computing (ISC), held during CSIT 2016, September 6-9, and jointly organized by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. All in all, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and it is expected to foster new discussions and collaborations among different groups.
Author : Natalya Shakhovska,Mykola O. Medykovskyy
Publisher : Springer Nature
Page : 1190 pages
File Size : 45,7 Mb
Release : 2020-12-22
Category : Technology & Engineering
ISBN : 9783030632700
This book reports on new theories and applications in the field of intelligent systems and computing. It covers cutting-edge computational and artificial intelligence methods, advances in computer vision, big data, cloud computing, and computation linguistics, as well as cyber-physical and intelligent information management systems. The respective chapters are based on selected papers presented at the workshop on intelligent systems and computing, held during the International Conference on Computer Science and Information Technologies, CSIT 2020, which was jointly organized on September 23-26, 2020, by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.
Author : Oleg Chertov,Tymofiy Mylovanov,Yuriy Kondratenko,Janusz Kacprzyk,Vladik Kreinovich,Vadim Stefanuk
Publisher : Springer
Page : 384 pages
File Size : 47,9 Mb
Release : 2018-08-04
Category : Technology & Engineering
ISBN : 9783319978857
This book constitutes the proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information (ICDSIAI'2018), held in Kiev, Ukraine on June 4-7, 2018. The conference series, which dates back to 2001 when it was known as the Workshop on Intelligent Analysis of Information, was renamed in 2008 to reflect the broadening of its scope and the composition of its organizers and participants. ICDSIAI'2018 brought together a large number of participants from numerous countries in Europe, Asia and the USA. The papers presented addressed novel theoretical developments in methods, algorithms and implementations for the broadly perceived areas of big data mining and intelligent analysis of data and information, representation and processing of uncertainty and fuzziness, including contributions on a range of applications in the fields of decision-making and decision support, economics, education, ecology, law, and various areas of technology. The book is dedicated to the memory of the conference founder, the late Professor Tetiana Taran, an outstanding scientist in the field of artificial intelligence whose research record, vision and personality have greatly contributed to the development of Ukrainian artificial intelligence and computer science.
Author : Chinmay Chakraborty,Jerry Chun-Wei Lin,Mamoun Alazab
Publisher : Springer Nature
Page : 383 pages
File Size : 49,9 Mb
Release : 2021-04-28
Category : Computers
ISBN : 9783030721398
This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.