LITE-YOLOV5: A LIGHTWEIGHT DEEP LEARNING DETECTOR FOR ON-BOARD SHIP DETECTION IN LARGE-SCENE SENTINEL-1 SAR IMAGES

Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images

Synthetic aperture radar (SAR) satellites can provide microwave remote sensing images without weather and light constraints, so they are widely applied in the maritime monitoring field.Current SAR ship detection methods based on deep learning (DL) are difficult to deploy on satellites, because these methods usually have complex models and huge calc

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Operator Suspicion and Human-Machine Team Performance Under Mission Scenarios of Unmanned Ground Vehicle Operation

Emergent cyber-attack threats against cyber-physical systems can create potentially catastrophic impacts.The operators must intervene at the right moment when suspected attacks occur, without over-reliance on systems to detect the cyber-attacks.However, military operators are normally trained to trust, rather than suspect systems.We applied suspici

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Optimization of process parameters of rotary friction welding of low alloy steel tubes using response surface methodology

Rotary Friction Welding (RFW) is a solid-state welding process that is becoming increasingly popular due to advantages such as low weld heat input, high production efficiency, ease of manufacture, and environmental friendliness.Rotary friction welding can weld materials that are difficult to fuse using fusion welding techniques.The main objective o

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Development of an in vivo RNAi protocol to investigate gene function in the filarial nematode, Brugia malayi.

Our ability to control diseases caused by parasitic nematodes is constrained by a limited portfolio of effective drugs and a paucity of robust tools to investigate parasitic nematode biology.RNA interference (RNAi) is a reverse-genetics tool with great potential to identify novel drug targets and interrogate parasite gene function, but present RNAi

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