This guidebook highlights the process of a software internship project facilitated by the Schulich School of Engineering. The Scrum Team is comprised of student developers pursuing either a master’s or bachelor’s degree in Software Engineering with their professor as the stakeholder, a consulting tech company serving as the product owner, and a graduate student and seasoned industry expert as project leads. Meer
Emerging machine learning techniques bring new opportunities to flexible network control and management. This book focuses on using state-of-the-art machine learning-based approaches to improve the performance of Software-Defined Networking (SDN). Meer
This book shows that evolutionary game theory can unravel how mutual cooperation, trust, and credit in a group emerge in organizations and institutions. Meer
The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. Meer
The book includes original unpublished contributions presented at the Seventh International Conference on Emerging Applications of Information Technology (EAIT 2022), organized by Computer Society of India, Kolkata, Chapter during March 30–31, 2022. Meer
The book brings together the contributions of the 7th International Conference on Smart Learning Ecosystems and Regional Development (SLERD 2022), which aims at promoting reflection and discussion concerning R&D work, policies, case studies, and entrepreneur experiences with a special focus on understanding the relevance of smart learning ecosystems (e. Meer
This book gathers a collection of high-quality peer-reviewed research papers presented at the 4th International Conference on Data and Information Sciences (ICDIS 2022), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 6 – 7, 2022. Meer
This book focuses on fault diagnosis for linear discrete time-varying (LDTV) systems and its applications in modern engineering processes, with more weighting placed on the development of theory and methodologies. Meer
This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 – 17 June, 2022. Meer
This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics.
The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Meer
This book presents the latest developments and breakthroughs in fuzzy theory and performance prediction of queuing and reliability models by using the stochastic modeling and optimization theory. Meer
This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Meer
This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021. Meer
This book discusses human–machine interactions, specifically focusing on making them as natural as human–human interaction. It is based on the premise that to get the right connect between human and machines, it is essential to understand not only the behavior of the person interacting with the machine, but also the limitations of the technology. Meer
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