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Advanced Machine Learning Technologies and Applications
This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE). The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.
Science Education in Countries Along the Belt & Road
This book aims to highlight science education in countries along the Belt and Road. It consists of 30 chapters divided into three main parts, namely Arab and African countries, Asian countries and European countries,. We invited science education experts from 29 “Belt and Road” countries to introduce the current status of science education in their countries and the new requirements with the rapid evolution of Information Technology. The major contributions of this book include: 1) Provide the current status of science education in countries along the Belt and Road as well as the requirement for developing and improving science education in these countries; 2) Discuss new insights of science education in future years; 3) Inspire stakeholders to take effective initiatives to develop science education in countries along the Belt and Road.
ITJEMAST 12(4) 2021
ITJEMAST publishes a wide spectrum of research and technical articles as well as reviews, experiments, experiences, modelings, simulations, designs, and innovations from engineering, sciences, life sciences, and related disciplines as well as interdisciplinary/cross-disciplinary/multidisciplinary subjects. Original work is required. Article submitted must not be under consideration of other publishers for publications.
Challenges and Opportunities for Innovation in India
The conference was organized with the aim of providing a platform for experts, specialists, practitioners and researchers working in the field of technological and managerial innovation to share their views. It was instrumental in meeting the challenges and opportunities of technology and its application in today's technological world. It provided an excellent international forum to exchange knowledge resulting into the application of technological innovations and managerial practice. Eminent scientists and researchers across the country presented their work and discussed the prospects of innovative ideas in the field of science, engineering and management.
Machine Learning and Data Analytics for Solving Business Problems
This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes. These methods form the theoretical foundations of intelligent management systems, which allows for companies to understand the market environment, to improve the analysis of customer needs, to propose creative personalization of contents, and to design more effective business strategies, products, and services. This book gives an overview of recent methods – such as blockchain, big data, artificial intelligence, and cloud computing – so readers can rapidly explore them and their applications to solve common business challenges. The book aims to empower readers to leverage and develop creative supervised and unsupervised methods to solve business decision-making problems.
Advances in Computational Logistics and Supply Chain Analytics
This book provides advances in computational logistics and supply chain analytics. The authors include innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that have been designed or applied to create and implement a successful logistics and supply chain management process. This book highlights the state of the art and challenges related to the design and the application of computational methods to solve logistic and supply chain management problems. The authors present recent computational logistic methods and supply chain analytics techniques designed and applied to support managers in improving such complex processes. This book broadly covers recent computational methods and techniques applied to ensure continuous improvement of transport, logistic, and supply chain management processes. Readers can rapidly explore these new methods and their applications to solve such complex problems.
The Gulf Directory
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