Results 31 to 40 of about 8,823 (191)
YOLOv5-AC: Attention Mechanism-Based Lightweight YOLOv5 for Track Pedestrian Detection
In response to the dangerous behavior of pedestrians roaming freely on unsupervised train tracks, the real-time detection of pedestrians is urgently required to ensure the safety of trains and people. Aiming to improve the low accuracy of railway pedestrian detection, the high missed-detection rate of target pedestrians, and the poor retention of non ...
Lv, Haohui +4 more
openaire +3 more sources
Deployment of Kidney Tumor Disease Object Detection Using CT-Scan with YOLOv5
Image processing plays a crucial role in identifying kidney tumors through CT-Scan images. Object detection technology, particularly YOLO, stands out for its speed and accuracy in facilitating more detailed analysis. Using Flask as a web framework offers
Hastyantoko Dwiki Kahingide, Abu Salam
doaj +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
HDS-YOLOv5: An improved safety harness hook detection algorithm based on YOLOv5s
<abstract> <p>Improperly using safety harness hooks is a major factor of safety hazards during power maintenance operation. The machine vision-based traditional detection methods have low accuracy and limited real-time effectiveness. In order to quickly discern the status of hooks and reduce safety incidents in the complicated operation ...
Mingju Chen +4 more
openaire +3 more sources
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Turning Trash into Treasure: Developing an Intelligent Bin for Plastic Bottle Recycling
Plastic pollution has emerged as a major global concern due to its enduring nature and limited recycling options. In response to this critical challenge, this paper presents a novel approach utilizing a Detection-Based Reward System (DBRS) alongside an ...
Sirajam Munira +4 more
doaj +1 more source
Application of Sensory Evaluation and Image Recognition in Freshness Evaluation of High Biogenic Amine Fish [PDF]
Mesopelagic and epipelagic fish species are integral to marine biodiversity and represent important targets for China’s marine fisheries. These fish are known for their relatively low connective tissue content in the muscle, making them more prone to ...
Wang Ruixiang +7 more
doaj +1 more source
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu +5 more
wiley +1 more source
Mine remote sensing image denoising method based on improved YOLOv5
The images of typical open-pit mining scenarios exhibit multi-type composite noise characteristics, with a low signal-to-noise ratio and significant spatial heterogeneity.
PEI Dan, FANG Kun, QING Yudong, CHEN Pei
doaj +1 more source
Abstract Astaxanthin is a carotenoid with strong antioxidant properties, used in research on cancer treatment, ocular injuries, and neurological disorders. When produced by the microalgae Haematococcus lacustris, its antioxidant potential is even higher than that of the synthetic molecule, making it particularly attractive for pharmaceutical and ...
Renata Kühl Rocha +5 more
wiley +1 more source

