Results 181 to 190 of about 28,509 (291)

Multi-Factor Cost Function-Based Interference-Aware Clustering with Voronoi Cell Partitioning for Dense WSNs. [PDF]

Sensors (Basel)
Sam Peter S, Jayarajan P, Maheswar R, Maheswaran S.   +3 more
europepmc   +1 more source

Heat Load Mitigation Studies in the W7‐X Stellarator Experiment

Contributions to Plasma Physics, EarlyView.
ABSTRACT During the experiments at the stellarator Wendelstein 7‐X (W7‐X) with fully water‐cooled plasma‐facing components (PFC), including carbon‐fiber composite (CFC) divertor targets with a thermal load capability of 10 MW/m2, high performance was achieved.
Dirk Naujoks, Amit Kharwandikar, Jasper Dettmar, Michael Endler, Joris Fellinger, Yu Gao, Joachim Geiger, Marcin Jakubowski, Thomas Sieber, Sebastian Thiede, Christian Voß, W7‐X Team   +11 more
wiley   +1 more source

Clustering-based progressive alignment with fuzzy logic (CPA-FL). [PDF]

Biochem Biophys Rep
Hajieghrari B.
europepmc   +1 more source

Recent advances in boosting interfacial bubble dynamics with external fields

Droplet, EarlyView.
External physical fields, including acoustic, magnetic, thermal, mechanical, and optical stimuli, accelerate the entire bubble‐dynamics sequence of nucleation, growth, and detachment. Abstract The efficiency of industrial electrocatalytic reactions depends not only on generating gaseous products but also on their detachment from the catalyst surface ...
Wenlu Xie, Yanwei Zhang, Yi Liu, Yiming Wei, Jing‐Li Luo, Chenyu Xu   +5 more
wiley   +1 more source

A drift-aware RS²FS pipeline with confidence gating for IDS. [PDF]

Sci Rep
Sakthivel G, Kumarasamy AK.
europepmc   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

The Labeled Square Root Cubature Information GM-PHD Approach for Multi Extended Targets Tracking. [PDF]

Sensors (Basel)
Liu Z, Zhang S, Yang Z, Qu X, An J.
europepmc   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

Enhanced significant wave height prediction in the Southern Ocean using an ANFIS model optimized with subtractive clustering. [PDF]

Sci Rep
Hakimi A, Farjami H.
europepmc   +1 more source

Motion planning and control of an installation robot for attitude adjustment of arc parts in underground shield tunneling

Deep Underground Science and Engineering, EarlyView.
Inspired by spiders, the multilegged walk‐through assembling robot for arc parts achieves high‐precision synchronous control under heavy loads through dual‐layer hydraulic pose dynamics modeling and hierarchical pressure optimization, significantly enhancing shield tunneling assembly efficiency and precision.
Quan Xiao, Guofei Xiang, Liang Liao, Lai Wei, Hongli Wang, Songyi Dian   +5 more
wiley   +1 more source