In order to ensure the safety of people in the roadway during the movement of unmanned transportation vehicles in coal mines, a man-vehicle linkage control system in coal mines is proposed.A deep separable convolutional network is used to replace the DarkNet-53 feature extraction network of the YOLOv3 target detection model to improve the real-time
Low soil moisture predisposes field-grown chickpea plants to dry root rot disease: evidence from simulation modeling and correlation analysis
Abstract Rhizoctonia bataticola causes dry root rot (DRR), a devastating disease in chickpea (Cicer arietinum).DRR incidence increases under water deficit stress and high whelen arges spotlight temperature.However, the roles of other edaphic and environmental factors remain unclear.Here, we performed an artificial neural network (ANN)-based predict
Can the establishment of national sanitary cities better resist the impact of COVID-19?
The global spread of COVID-19 has led to profound reflection on building a global public health security system.This paper uses the urban data campicon.com collected during the COVID-19 epidemic in China in 2020 to evaluate the effect of the National Sanitary City (NSC) policy on the prevention and control of that epidemic at different stages.We fo
Dynamic Event-Triggered Control for Delayed Nonlinear Markov Jump Systems under Randomly Occurring DoS Attack and Packet Loss
This paper aims to address the exponential stability and stabilization problems for a class of delayed nonlinear Markov jump systems under randomly occurring Denial-of-Service (DoS) attacks and packet loss.Firstly, the stochastic characteristics here of DoS attacks and packet loss are depicted by the attack success rate and packet loss rate.Secondl