Results 61 to 70 of about 25,422 (265)
Video-based detection infrastructure is crucial for promoting connected and autonomous shipping (CAS) development, which provides critical on-site traffic data for maritime participants. Ship behavior analysis, one of the fundamental tasks for fulfilling
Xinqiang Chen +6 more
doaj +1 more source
Ship-Fire Net: An Improved YOLOv8 Algorithm for Ship Fire Detection
Ship fire may result in significant damage to its structure and large economic loss. Hence, the prompt identification of fires is essential in order to provide prompt reactions and effective mitigation strategies. However, conventional detection systems exhibit limited efficacy and accuracy in detecting targets, which has been mostly attributed to ...
Zhang, Ziyang +2 more
openaire +4 more sources
The Y supersaturation in the [Ba‐Cu(I/II)‐O] transient liquid composition is the driving force toward YBCO nucleation and growth in TLAG. Tuning the initial (Ba:Cu) molar ratio in the ink composition determines the YBCO epitaxial nucleation through supersaturation control.
Lavinia Saltarelli +12 more
wiley +1 more source
Ship detection in synthetic aperture radar (SAR) images is becoming a research hotspot. In recent years, as the rise of artificial intelligence, deep learning has almost dominated SAR ship detection community for its higher accuracy, faster speed, less ...
Tianwen Zhang +10 more
doaj +1 more source
Artificial Symbiosis for Bulk Production of Bacterial Cellulose Composites
Co‐cultivation of the cellulose‐producing bacterium with the microalga enables bulk formation of bacterial cellulose under static incubation, with photosynthetically active oxygen‐generating sites throughout the medium. This symbiotic platform supports 3D cellulosic constructs with geometries dictated by the vessel shape.
Kui Yu +7 more
wiley +1 more source
Ship Detection: Parameter Server Variant
Deep learning ship detection in satellite optical imagery suffers from false positive occurrences with clouds, landmasses, and man-made objects that interfere with correct classification of ships, typically limiting class accuracy scores to 88\%. This work explores the tensions between customization strategies, class accuracy rates, training times, and
openaire +2 more sources
This review outlines how understanding bone's biology, hierarchical architecture, and mechanical anisotropy informs the design of lattice structures that replicate bone morphology and mechanical behavior. Additive manufacturing enables the fabrication of orthopedic implants that incorporate such structures using a range of engineering materials ...
Stylianos Kechagias +4 more
wiley +1 more source
Manipulating the product generation yield is achieved on a model plasmonic resonance‐driven reaction by tuning the nonthermal effects of localized surface plasmonic resonance on an elliptical Au‐TiO2 nanopillar metasurface. Asymmetric configuration of the elliptical nanopillar array governs the polarization‐dependent optical properties redshifting the ...
Ning Lyu +6 more
wiley +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
YOLOv7-Ship: A Lightweight Algorithm for Ship Object Detection in Complex Marine Environments
Accurate ship object detection ensures navigation safety and effective maritime traffic management. Existing ship target detection models often have the problem of missed detection in complex marine environments, and it is hard to achieve high accuracy ...
Zhikai Jiang, Li Su, Yuxin Sun
doaj +1 more source

