In the last four decades several methods have been used to model occupants' presence and
actions (OPA) in buildings according to different purposes, available computational power …

In recent years, research on convolutional neural networks (CNN) and recurrent neural
networks (RNN) in deep learning has been actively conducted. In order to provide more …

In the last five years, edge computing has attracted tremendous attention from industry and
academia due to its promise to reduce latency, save bandwidth, improve availability, and …

The availability of computational power, and a wealth of data from sensors have boosted the
development of model-based predictive control for smart and effective control of advanced …

With machine learning (ML) services now used in a number of mission-critical human-facing
domains, ensuring the integrity and trustworthiness of ML models becomes all important. In …

边缘智能中的协同计算技术研究 Page 1 55 边缘智能中的协同计算技术研究 中国科学院大学
计算技术研究所在读博士.研究方向是人工 智能,边缘计算,计算机系统.博士期间的研究项目主要 …

This work describes a novel methodology for creating exergames on an edge-native
platform with the integration of multiple deep neural networks. A prototype of the platform …

The object detection tasks based on edge computing have received great attention. A
common concern hasn't been addressed is that edge may be unreliable and uploads the …

Computing offloading is a key challenge of new rising computing paradigms of the Internet
of Things (IoT) like edge computing, which shifts computations to data sources as near as …

This paper presents a novel modeling technique of electric appliances using
Matlab/Simulink based on their actual measured current waveforms. Home appliances were …