Results 101 to 110 of about 191,014 (311)
Self‐Responsive Plastron Maintenance on a Superhydrophobic Mesh via Locally Integrated Electrolysis
This work presents a self‐switchable SHM‐E surface that enables rapid, autonomous plastron self‐repair and long‐term stability. Plastron loss triggers circuit closure and localized electrolysis, while capillary spreading rapidly restores a continuous plastron and self‐terminates the current.
Jiaming Wang, Zhen Zhang, Yuhong Liu
wiley +1 more source
Underwater target detection technology is very important for Marine resources detection and underwater environment perception. The problems of low-quality underwater images, a large amount of calculation, and low accuracy of target detection models still
Yongfa Mi +3 more
doaj +1 more source
Cloperastine suppresses osteoclastogenesis by inhibiting PGC1β‐mediated oxidative phosphorylation. Its incorporation into a ROS‐responsive, Asp8‐modified nanoplatform enhances skeletal accumulation. The resulting Clo/Asp8‐PMK‐MCs combine cloperastine‐mediated antiresorptive activity with carrier‐mediated osteogenic activity to attenuate OVX‐induced ...
Haibo Liang +16 more
wiley +1 more source
A self‐sustainable vehicular vibration and indoor environment monitoring IoT platform is developed which integrates a hybrid spring‐coupled broadband energy harvester with a machine learning‐assisted PAN‐CuSCN nanofiber triboelectric vibration sensor for subtle‐to‐wide‐range vibration detection and road/speed classification.
Trilochan Bhatta +6 more
wiley +1 more source
Hydrogen Production from Ammonia Electrochemical Cracking
NH3 electrochemical cracking (e‐cracking) is a complementary technique to centralized thermal cracking for releasing H2 from NH3. In this article, we review recent advances in catalyst development for these cracking techniques and conduct a techno‐economic analysis (TEA) to evaluate the economic feasibility of e‐cracking.
Yike Ye +4 more
wiley +1 more source
A distributed computing platform can provide automatic control for maritime services, with likely economic and social benefits. In this context, the nodes involved in the computing tasks are autonomous complex cyber-physical systems, i.e., ships. The platform allows node computing cooperation through a high-level abstraction of the underlying sensor ...
Martelli, M +3 more
openaire +5 more sources
The aim of this paper is to investigate shipping assets and market entry decisions from the point of business cycles in the dry cargo shipping. One of the critical problems of the shipping business is based on the market entry-exit decisions and the ...
Duru, Okan +2 more
core +1 more source
Improved Skills for Predicting Sub‐Seasonal to Seasonal Global Sea Surface Temperature
Addressing the critical Sub‐seasonal to Seasonal predictability gap, this study presents CAS‐Canglong, a novel deep learning framework. By leveraging 3D Swin‐Transformers to capture long‐range ocean interactions, the model demonstrates superior skill over traditional GCMs.
Longhao Wang +6 more
wiley +1 more source
Real-Time Long-Distance Ship Detection Architecture Based on YOLOv8
Long-distance detection of maritime ships is pivotal for the development of intelligent collision avoidance systems. Despite significant advancements in target detection achieved through deep learning, the identification of long-distance ships poses a ...
Yanfeng Gong +4 more
doaj +1 more source

