Results 41 to 50 of about 9,977,043 (295)
Scheduling for Emergency Tasks in Industrial Wireless Sensor Networks
Wireless sensor networks (WSNs) are widely applied in industrial manufacturing systems. By means of centralized control, the real-time requirement and reliability can be provided by WSNs in industrial production.
Changqing Xia +3 more
doaj +1 more source
Low-Cost Emergent Dynamic Scheduling for Flexible Job Shops
Flexible production is a typical representative of high-end manufacturing and is also a manifestation of a country’s national production capability.
Yue Yin +4 more
doaj +1 more source
One of the biggest challenges for the fault diagnosis research of industrial robots is that the normal data is far more than the fault data; that is, the data is imbalanced. The traditional diagnosis approaches of industrial robots are more biased toward
Yue Sun +5 more
doaj +1 more source
PID controllers are the most widely used control scheme in industry. Traditionally these controllers have been implemented in analog or digital form on specifically dedicated communication links. However, there has been significant recent interest into deploying control over general purpose communication channels, which allow one to transmit data ...
Quevedo, Daniel E. +3 more
openaire +2 more sources
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
wiley +1 more source
Enhancing the accuracy of long-term time series forecasting is a crucial task across various fields. Recently, many studies have employed the Discrete Fourier Transform (DFT) to convert time series into the frequency domain for forecasting, as it ...
Yahao Zhang +4 more
doaj +1 more source
Property Investigation on the Additive White Gaussian Noise After Sub-Nyquist Sampling
The sub-Nyquist sampling (SNS) has emerged as an appealing technique for wideband signal sampling and has found its applications in many areas, such as, cognitive radios, radar and medical imaging, etc..
Tierui Gong +3 more
doaj +1 more source
Temperature Prediction of Heating Furnace Based on Deep Transfer Learning
Heating temperature is very important in the process of billet production, and it directly affects the quality of billet. However, there is no direct method to measure billet temperature, so we need to accurately predict the temperature of each heating ...
Naiju Zhai, Xiaofeng Zhou
doaj +1 more source
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
Microgrids (MGs) are presented as a cornerstone of smart grids. With the potential to integrate intermittent renewable energy sources (RES) in a flexible and environmental way, the MG concept has gained even more attention.
Zhongwen Li +3 more
doaj +1 more source

