To reduce the false detection rate of vehicle targets caused by occlusion, an improved
method of vehicle detection in different traffic scenarios based on an improved YOLO v5 …

Binary neural networks (BNNs) are variations of artificial/deep neural network (ANN/DNN)
architectures that constrain the real values of weights to the binary set of numbers {− 1, 1} …

One of the most expensive and fatal natural disasters in the world is forest fires. For this
reason, early discovery of forest fires helps minimize mortality and harm to ecosystems and …

Fire detection and extinguishing systems are critical for safeguarding lives and minimizing
property damage. These systems are especially vital in combating forest fires. In recent …

Forest fires can destroy forest and inflict great damage to the ecosystem. Fortunately, forest
fire detection with video has achieved remarkable results in enabling timely and accurate …

Wildfire poses a significant threat and is considered a severe natural disaster, which
endangers forest resources, wildlife, and human livelihoods. In recent times, there has been …

Fire-detection technology plays a critical role in ensuring public safety and facilitating the
development of smart cities. Early fire detection is imperative to mitigate potential hazards …

To tackle the problem of missed detections in long-range detection scenarios caused by the
small size of forest fire targets, initiatives have been undertaken to enhance the feature …

In the process of offshore fire protection, discovering the fire situation and grasping the
development trend of the fire situation are the premise and basis for formulating scientific …

Object identification, such as tree trunk detection, is fundamental for forest robotics.
Intelligent vision systems are of paramount importance in order to improve robotic …