Robotics and Rehabilitation Intelligence
First International Conference, ICRRI 2020, Fushun, China, September 9–11, 2020, Proceedings, Part II
Chapter and Conference Paper
Traditional supervision of safety in construction sites is usually carried out manually, which may be inefficient and lacks real-time capability. In recent years, scholars have conducted the researches that ut...
Chapter and Conference Paper
In common prediction problems, the open-loop prediction framework is popular because of its fast prediction process and easy implementation. However, time series prediction is a special prediction problem beca...
Chapter and Conference Paper
Relation extraction (RE) has recently moved from the sentence-level to document-level, which requires aggregating document information and using entities and mentions for reasoning. Existing works put entity n...
Chapter and Conference Paper
Reinforcement learning has been widely used in recommender systems in order to optimize users’ long-term utilities. An accurate and explainable user simulator is crucial for reinforcement learning based recom...
Chapter and Conference Paper
Generally, the output power of photovoltaic (PV) inverter will match the load requirement. And at the beginning of the design the load power is less than the maximum output power of PV cells to ensure the syst...
Chapter and Conference Paper
Review summarization aims to generate condensed text for online product reviews. Existing methods always focus on word-level representation of reviews and ignore different informativeness of different sentence...
Chapter and Conference Paper
Online recruitment aims to match right talents with right jobs (Person-Job Fit, PJF) online by satisfying the preferences of both persons (job seekers) and jobs (recruiters). Recently, some research tried to s...
Book and Conference Proceedings
First International Conference, ICRRI 2020, Fushun, China, September 9–11, 2020, Proceedings, Part II
Book and Conference Proceedings
First International Conference, ICRRI 2020, Fushun, China, September 9–11, 2020, Proceedings, Part I
Chapter and Conference Paper
Surface electromyography (sEMG) based gesture recognition as an important role in Muscle-Computer interface has been researched for decades. Recently, deep learning based method has had a profound impact on th...
Chapter and Conference Paper
Surface electromyography (sEMG) can provide a novel control method for human machine interface (HMI) with the improvement of signal decoding technology. sEMG-based hand gesture recognition is the key part of H...
Chapter and Conference Paper
Zone Controller (ZC) handover scenario is a typical operation function in Communication Based Train Control (CBTC) system. However, due to the nondeterministic communication between the onboard equipment and t...
Chapter and Conference Paper
In this paper, we present a deep learning character recognition algorithm based on multi-level segmentation. It can improve the accuracy of recognition of button characters in the interlocked upper computer in...
Chapter and Conference Paper
Accurate and high-resolution passenger volume forecasting is very important for the scheduling and regulation of urban railway trains, both to satisfy the quality of railway service and reduce operation cost. ...
Chapter and Conference Paper
In this paper, we considered the task of the robot learning low-level trajectory task in a novel clustered constraint environment. We propose a novel adaptive trajectory algorithm used to generate the necessar...