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Recognising the future leaders of Comparative and Clinical Medicine is fundamental to safeguarding tomorrow's driving force in innovation. This collection will showcase the high-quality work of internationally recognized researchers in the early stages of their careers. We aim to highlight research by leading scientists of the future across the entire breadth of Comparative and Clinical Medicine and present advances in theory, experiment, and methodology with applications to compelling problems.
The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge grap...
Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines science and technology. This book emphasizes the studies of existing SI techniques, their variants and applications. The book also contains reviews of new developments in SI techniques and hybridizations. Algorithm specific studies covering basic introduction and analysis of key components of these algorithms, such as convergence, balance of solution accuracy, computational costs, tuning and control of parameters. Application specific studies incorporating the ways of designing objective functions, solution representation and constraint handling. The book also includes studies on application domain specific adaptations in the SI techniques. The book will be beneficial for academicians and researchers from various disciplines of engineering and science working in applications of SI and other optimization problems.
A technical assistance mission was conducted from February 26 to March 2, 2023, to assist the Bangladesh Bank with the ongoing development of a Residential Property Price Index (RPPI). The mission was funded by the Data for Decisions (D4D) Fund. A previous RPPI mission visited Bangladesh in December 2019 and the Bangladesh Bank have been working on developing the RPPI since 2017. The mission completed the following tasks: (i) increased the capacity and knowledge of staff on the methods for RPPI compilation, (ii) conducted an analysis of existing and potential data sources for property price statistics, (iii) identified improvements to the existing compilation methods, (iv) identified impediments to the implementation of the new reporting template for financial institutions and non-banks, and (v) recommended further improvements in the medium to long-term.
A short history of impunity -- Key cases of impunity the new government should address -- Causes and solutions for impunity in Bangladesh -- Recommendations.
The contents of this report constitute technical advice provided by the staff of the IMF to the authorities of Bangladesh in response to their request for technical assistance. The purpose of the mission was to assist the Bangladesh Bank (BB) in progressing on the compilation of a residential property price index. BB has plans to set up a new data collection system to improve the current existing data starting from July 2020. The new data collection will expand the geographic coverage and the type of dwellings and mostly will increase the current sample resulting in more accurate results. The mission recommended the use of R instead of other software since it allows to perform all the necessary calculations in one script and single software. The mission provided training particularly on the hedonic methods, chain linking and rebasing. The hedonic methods are the most recommended to address the quality changes on the mix of dwellings transacted when following the price of real estate.