阴险
发表于 2025-3-25 03:25:37
De-Yi Shang,Liang-Cai Zhongrk, we confront this challenge presenting a novel approach based on models at runtime. This approach proposes a context-adaptive task model that allows routine tasks to be specified in an understandable way for users, facilitating their participation in the specification. These tasks are described a
使腐烂
发表于 2025-3-25 11:32:38
De-Yi Shang,Liang-Cai Zhongproviders in dispatching. In this paper, we present a predictive model for the number of vacant taxis in a given area based on time of the day, day of the week, and weather condition. The history is used to build the prior probability distributions for our inference engine, which is based on the naï
护身符
发表于 2025-3-25 15:42:44
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Expediency
发表于 2025-3-25 19:29:10
De-Yi Shang,Liang-Cai Zhongd endings of the conflicts, as well as their intensity. In this paper, the dataset is described and a preliminary analysis is performed. We describe data segmentation and feature calculation process. Next, the interrelationships between the features and labels are explored. A logistic regression mod
avulsion
发表于 2025-3-25 21:01:10
De-Yi Shang,Liang-Cai Zhongg a UMI (ubiquitous, mobile computing and the Internet of Things) Summer School. This Summer School deals with an IoT based recycling management application development and is part of UMI-Sci-Ed project that provides a training framework on UMI learning, for students aged between 14–16, with the use
上釉彩
发表于 2025-3-26 03:06:21
De-Yi Shang,Liang-Cai Zhongave been made to predict users’ responsiveness to smartphone notifications, we show that this is possible with a minimal number of just three features synthesized from non-sensor based data. Our approach demonstrates that it is possible to classify user attentiveness to notifications with good accur
terazosin
发表于 2025-3-26 06:08:35
De-Yi Shang,Liang-Cai Zhongr 2018. ..The 12 revised full papers presented together with 6 short papers were carefully reviewed and selected from 36 submissions. The papers cover topics such as: Ambient Services and Smart Environments; Sensor Networks and Artificial Intelligence; Activity and Situation Recognition; Ambient Int
DALLY
发表于 2025-3-26 10:48:03
De-Yi Shang,Liang-Cai Zhongthis marker-free estimation approach develops all its potential in the field of pose estimation, if this is possible in real time and on a mobile device. In this work, we focus on the implementation of a modern CNN approach for the body pose estimation and a redesign of the CNN architecture, so that
出处
发表于 2025-3-26 13:51:29
De-Yi Shang,Liang-Cai Zhong Smart floors are a well-established technology to enable marker-free indoor localization within an instrumented environment. Typically, they are based on pressure sensors or varieties of capacitive sensing. These systems, however, are often hard to deploy as mechanical or electrical features are re
cognizant
发表于 2025-3-26 20:38:16
De-Yi Shang,Liang-Cai Zhongntly, novel paradigms have been proposed, most of them envisioning arbitrary pairs of peer application entities communicating and providing services directly with each other and to users. In order to enforce these paradigms even to systems which include devices with limited processing and storage re