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Big Data, Machine Learning, and Applications
Author: Malaya Dutta Borah
language: en
Publisher: Springer Nature
Release Date: 2023-11-29
This book constitutes refereed proceedings of the Second International Conference on Big Data, Machine Learning, and Applications, BigDML 2021. The volume focuses on topics such as computing methodology; machine learning; artificial intelligence; information systems; security and privacy. This volume will benefit research scholars, academicians, and industrial people who work on data storage and machine learning.
Research Advances in Network Technologies
In current digital era, information is an important asset for our daily life as well as for small and large-scale businesses. The network technologies are the main enablers that connect the computing devices and resources together to collect, process and share vital information locally as well as globally. The network technologies provide efficient, flexible and seamless communication while maximizing productivity and resources for our day-to-day lives and business operations. For all its importance, this domain has evolved drastically, from the traditional wired networks to Bluetooth, infrared-waves, micro-waves, radio-waves and satellite networks. Nowadays, network technologies are not only restricted to computer laboratories, offices or homes; many other diverse areas have been witnessed where network technologies are being used based on the applications and needs, such as vehicular ad-hoc networks, underwater networks, and the Internet of Things. Along with the hardware-based and physical network technologies, a lot of research has been carried out by researchers from academia and industry to develop emerging software-based network technologies, such as network software architectures, middleware, and protocol stacks. The software-based network technologies become the main driving force behind the paradigm shift in this domain and have invented many new network technologies such as grid computing, cloud computing, fog computing, edge computing, software defined networks, content centric networks and so on. On the other hand, a lot of efforts have been made in cellular network technologies to improve the user experience and as a consequence, emerging cellular network technologies like LTE, VoLTE and 5G have been invented. Due to its demand and importance in present and future scenarios, numerous efforts have been done in the networking domain by the researchers, a lot of work is still ongoing, and many more possibilities have yet to be explored. Therefore, there is a need to keep track of advancements related to the network technologies and further investigate several ongoing research challenges for the ease of users. With this goal in mind, Research Advances in Network Technologies presents the most recent and notable research on network technologies.
Logistics Information Systems
In today’s era of digital transformation, the logistics sector is one of the most technology-intensive industries. This book provides a comprehensive overview of the IT infrastructure required for company operations, the types of enterprise software used in logistics, and current data collection technologies. It addresses the terminology, information flows, and application contexts of the necessary software, helping readers to see the big picture without being overwhelmed by technical details. It explains principal methodologies for modelling and designing systems and describes the objectives of project management and system analysis, not to mention why they are so essential to developing information systems. It also defines critical terms before turning to sector-specific hardware and software solutions for logistics operations: data collection, data processing, and data analytics solutions. In addition, the book includes sections that introduce readers to programming and the core of the database, piquing their interest and guiding them to a higher level of specialization. Study questions are provided at the end of each chapter to test reader comprehension. This book will be a helpful resource for students in logistics or professionals working in the fields of business administration, foreign trade, industrial engineering, ERP, or MIS who want to advance their knowledge and skills in the logistics industry.