Results 161 to 170 of about 16,805 (257)
This review examines cellulose as a sustainable platform for triboelectric nanogenerators, linking molecular structure, surface chemistry, and material engineering to charge generation, retention, and dissipation. Native, regenerated, and nanocellulose materials, functionalization strategies, scalable manufacturing, and diverse applications are ...
Renyun Zhang +3 more
wiley +1 more source
Steel Roll Eye Pose Detection Based on Binocular Vision and Mask R-CNN. [PDF]
Su X, Wang J, Wang Y, Zhang D.
europepmc +1 more source
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin +10 more
wiley +1 more source
Comparison of mask R-CNN and YOLOv8-seg for improved monitoring of the PCB surface during laser cleaning. [PDF]
Qiao L, Veltrup M, Mayer B.
europepmc +1 more source
Molten aluminum–water explosion triggered by leakage remains the core unresolved safety hazard hindering safe production in aluminum direct chill casting. This review summarizes its explosion mechanism, key influencing factors, prevention technologies, existing gaps, and prospects of intelligent multi‐technology integrated explosion‐proof systems ...
Min Wang +5 more
wiley +1 more source
Enhanced Mask R-CNN Incorporating CBAM and Soft-NMS for Identification and Monitoring of Offshore Aquaculture Areas. [PDF]
Zhang J, Wang Y, Zhang Y, Zhao Y.
europepmc +1 more source
We present an AI‐assisted ground‐penetrating radar framework to noninvasively detect and quantify smoldering wildfire‐induced subsurface cavities in peatlands. A ResNet model accurately predicts cavity geometry from GPR images, enabling improved assessment of underground fire damage and hazards.
Zifan Zhang +5 more
wiley +1 more source
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik +2 more
wiley +1 more source
Application of mask R-CNN for building detection in UAV remote sensing images. [PDF]
Hou T, Li J.
europepmc +1 more source
A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation
In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley +1 more source

