Free DownloadIndependent Africa: The First Generation of Nation Builders by Emmanuel Kwaku Akyeampong
English | September 5, 2023 | ISBN: 0253066646, 0253066654 | True EPUB | pages | 9 MB
Independent Africa explores Africa’s political economy in the first two full decades of independence through the joint projects of nation-building, economic development, and international relations.
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English | 2025 | ISBN: 3031920716 | 185 Pages | PDF EPUB (True) | 3 MB
This book provides an overview of the fundamentals of Automatic Question Generation (AQG) for computational linguistics researchers, test developers, and educators. The author presents a variety of AQG system architectures, including generating questions from syntactic analyses, semantic resources, neural architectures, ontologies and knowledge graphs, and large language models. The advantages and pitfalls of a variety of AQG evaluation methods, including multi-aspect ratings by human experts, end-users, as well as crowd-sourcing and automatic evaluation techniques are discussed. The book also provides a roadmap of options for AQG targeted orientation, content selection, and focusing decisions. Machine learning opportunities for training systems to generate questions based on human-generated examples are also explored. This book offers greater depth and breadth than previous surveys of AQG. Readers will gain a comprehensive knowledge of current research, examples of applications of AQG, and inspiration for future directions for innovation and application.
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Free DownloadNumerical Geometry, Grid Generation and Scientific Computing: Proceedings of the 10th International Conference, NUMGRID 2020 / Delaunay 130, Celebrating the 130th Anniversary of Boris Delaunay, Moscow, Russia, November 2020 by Vladimir A. Garanzha English | PDF,EPUB | 2021 | 419 Pages | ISBN : 3030767973 | 112.4 MB
Free DownloadNext-Generation Artificial Intelligence Driven Smart and Renewable Energy
English | 2025 | ISBN: 1032761563 | 214 Pages | PDF EPUB (True) | 17 MB
To provide for a sustainable future, the potential synergies at the dynamic intersection of renewable energy (RE) incorporated with smart energy and artificial intelligence (AI) must be exploited. RE is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and development of RE systems remains a challenge. Advanced optimization techniques, AI, and machine learning (ML) plays a crucial role in implementing the latest innovative research in the field of renewable energy-integrated electrical systems. This book also describes the practical challenges encountered, and the solutions and future scope to be adopted. Applications of a variety of advanced optimization and AI techniques in the design and development of RE-integrated systems are discussed to provide new solutions in the RE domain.
