Irfan Awan – författare

This book constitutes the refereed proceedings of the 16th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2019, held in Istanbul, Turkey, in August 2019.

The 23 full papers presented together with 3 short papers were carefully reviewed and selected from 74 submissions. The papers of the MobiWIS 2019 deal with areas such as: mobile apps and services;  web and mobile applications; security and privacy; wireless networks and cloud computing; intelligent mobile applications; and mobile web and practical applications.

This volume constitutes the refereed proceedings of the 5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019, held in Istanbul, Turkey, in August 2019.

The 15 revised full papers and 1 short paper presented in this volume were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on advances in big data systems; machine learning and data analytics; big data innovation and applications; security and risk analysis.

This book constitutes the refereed proceedings of the 17th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2021, held as a virtual event, in August 2021.

The 15 full papers presented in this book were carefully reviewed and selected from 40 submissions. The papers of MobiWIS 2021 deal focus on topics such as security and privacy; web and mobile applications; networking and communication; intelligent information systems; and IoT and ubiquitous computing.

The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed over the last few years. It is increasingly helping uncover trends leading to great successes. This book includes a collection of research manuscripts presenting state-of-the-art work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have been peer-reviewed based on aspects of novelty, originality and rigour. The main topics covered in the book include machine learning and time series, blockchain technologies and applications, data security, deep learning, and Internet of Things.

Deep and machine learning is the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionise industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, etc. The ground-breaking technology of blockchain also enables decentralisation, immutability, and transparency of data and applications.

Deep/Machine learning based models

 Statistical models and learning

 Data analysis, insights and hidden pattern

 Data visualisation

 Security threat detection

 Data classification and clustering

 Blockchain data management

This book constitutes refereed articles which present research work on new and emerging topics such as distributed ledger technology, blockchains and architectures, smart cities, machine learning and deep learning techniques and application areas such as flight pricing, energy demand and healthcare.

The intended readership of the book include researchers, developers and practitioners in the areas of deep learning, big data and blockchains technologies and their applications.

This book constitutes the refereed proceedings of the 20th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2024, held in Vienna, Austria, during August 19–21, 2024.

The 21 full papers and 1 short paper included in this book were carefully reviewed and selected from 65 submissions. They were organized in topical sections as follows: IoT, networks and cloud services; AI, blockchain and security; blockchain techniques and technologies; AI-based applications; and smart cities and knowledge management.

This book is the 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024), 19–21 Aug 2024, Vienna, Austria. This book constitutes refereed articles which present research work on timely research themes such as novel AI methods and models, deep learning techniques, data analytics and hidden patterns, security, privacy and trust, blockchain data management, and fraud detection and prevention, among others. The intended readership of the book includes researchers, developers, and practitioners in the areas of AI, big data, blockchain techniques, technologies, and their applications.