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If you're looking for free educational programs or materials in the US and Canada, we'll help you find what you need for students and learners. ![]() Free Download Recent Topics on Topology - From Classical to Modern Applications by Paul Bracken English | 2024 | ISBN: 1837698384 | 113 Pages | True PDF | 3.73 MB ![]() Free Download Recent Developments in Mechatronics and Intelligent Robotics: Proceedings of International Conference on Mechatronics and Intelligent Robotics (ICMIR2018) by Kevin Deng English | PDF | 2019 | 1291 Pages | ISBN : 3030002136 | 157.52 MB This book is a collection of proceedings of the International Conference on Mechatronics and Intelligent Robotics (ICMIR2018), held in Kunming, China during May 19-20, 2018. It consists of 155 papers, which have been categorized into 6 different sections: Intelligent Systems, Robotics, Intelligent Sensors & Actuators, Mechatronics, Computational Vision and Machine Learning, and Soft Computing. ![]() Free Download Recent Advances in the Treatment of Orofacial Clefts by Marcos Roberto Tovani Palone, Stephanie van Eeden English | 2024 | ISBN: 1839692200 | 207 Pages | True PDF | 5.1 MB ![]() Free Download Recent Advances in Modeling and Forecasting Kaiyu: Tools for Predicting and Verifying the Effects of Urban Revitalization Policy by Saburo Saito, Kenichi Ishibashi, Kosuke Yamashiro English | EPUB (True) | 2023 | 620 Pages | ISBN : 9819912407 | 101.6 MB This book is the first comprehensive presentation of a Kaiyu Markov model with covariates and a multivariate Poisson model with competitive destinations. These two models are core techniques when the authors and colleagues conduct their Kaiyu studies. The two models are usually used to forecast the effects of specific urban redevelopment on both the number of visitors and consumer shop-around or Kaiyu movements. Their Kaiyu studies originated from the constructions of a Kaiyu Markov model and the disaggregated hierarchical decision Huff model almost simultaneously around the early 1980s. This book retrospectively reviews how these models have evolved from the start to the present state, and previews the ongoing efforts to make further extensions of these models. The extension of the Huff model started from the disaggregated hierarchical decision Huff model with shop-arounds. In retrospect, the model formulated the consumer's simultaneous choice of destinations as a joint probability. The mechanism to determine this joint probability was a recursive conditional probability system. Now the Huff model has shifted from joint probability to multivariate frequency Poisson with competitive destinations. On the other hand, the Kaiyu Markov model started from a descriptive model. Because it cannot forecast changes in shop-arounds or consumer Kaiyu behaviors, the Kaiyu Markov model with covariates was developed in which entrance and shop-around choice probabilities are explained by the respective two logit models with covariates such as distances and shop-floor areas. The noticeable point is that it can explain consumers' probability of quitting their shop-arounds. Thus, the model enables one to evaluate the effects of urban revitalization policy that promotes consumers' shop-arounds or Kaiyu behaviors. Furthermore, if the Kaiyu Markov model can estimate the actual numbers of flows of consumers' shop-arounds among shopping sites, the corresponding money flows also can be estimated as economic effects. This book discusses from scratch the evolution of all these topics. 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