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India is the largest contributor to the UN’s peace-keeping operations worldwide. As an emerging global power, poised to be the third largest economy in the world, India’s role in the UN is significant. Few are aware of and appreciate India’s role in the UN and the latter’s role in global peace and sustainable development. The book gives an insight to the overarching role of the UN and India’s part in it. It provides a valuable reference for students preparing for competitive exams, readers who wish to learn and for those eager to expand their world vision in general.
This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.* The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. *The workshop was held virtually.
This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually. The 15 papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
This journal volume is available electronically and in print. The online version is available online at http://www.scientific.net/jera
Micro and Nanofluid Convection with Magnetic Field Effects for Heat and Mass Transfer Applications using MATLAB® examines the performance of micro and nanofluids with various physical effects such as magnetic field, slip effects, radiation and heat sources. Heat and mass transfer enhancement techniques are widely used in many applications in the heating and cooling or freezing process to make possible a reduction in weight and size or enhance performance during heat and mass exchanges. The book covers the two categories of flow techniques, active and passive. It discusses various considerations in the engineering sciences in the melting process, polymer industry and in metallurgy. To be mor...