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Titlebook: ICT Applications for Smart Cities; Angel D. Sappa Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Sp

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楼主: 使醉
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Fernando P. G. de Sá,Cristhian Aguilera,Cristhian A. Aguilera,Aura Conci Little or no collaboration in the VC has led to an uncoordinated AIV VC that is not harnessing the benefits of a growing demand for African Indigenous Vegetables in the County..This study was conducted to analyze the African Indigenous Vegetable (AIV) value chain (VC) in Uasin Gishu to identify the
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Victoria Ruiz,Ángel Sánchez,José F. Vélez,Bogdan Raducanu Little or no collaboration in the VC has led to an uncoordinated AIV VC that is not harnessing the benefits of a growing demand for African Indigenous Vegetables in the County..This study was conducted to analyze the African Indigenous Vegetable (AIV) value chain (VC) in Uasin Gishu to identify the
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,Deep Neural Networks for Passengers’ Density Estimation and Face Mask Detection for COVID-19 in Puboves population mobility, reduces environmental pollution, traffic congestion, and commuting time. Optimal management, control, and tracking of public transportation systems are desirable for improving service quality and users’ wellness. This work proposes a management and control system for public
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Epistemic Uncertainty Quantification in Human Trajectory Prediction,tonomous driving. In the last years, there has been a leap forward in the state of the art of HTP, with great improvements observed in most of the classical benchmarks used in the related literature. This has been possible through the use of powerful data-driven deep learning techniques, coupled wit
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Human Body Pose Estimation in Multi-view Environments,pproach starts by first estimating the camera pose—extrinsic parameters—in multi-view scenarios; due to few real image datasets, different virtual scenes are generated by using a special simulator, for training and testing the proposed convolutional neural network based approaches. Then, these extri
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,Multimodal Sensor Calibration Approaches in the ATLASCAR Project,ar many perception and navigation techniques developed for small scale vehicles in robotic competitions. Among many others, that challenge brought the need to use multiple sensors from different modalities for a richer and more robust perception of the road and its agents. The first issues concerned
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