Results 161 to 170 of about 214,358 (295)

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

Droplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang, Srikar Arani, Nishant Sai Nuthalapati, Youngjoon Suh, Nicholas Choi, Siavash Khodakarami, Md Rakibul Hasan Roni, Nenad Miljkovic, Aparna Chandramowlishwaran, Yoonjin Won   +9 more
wiley   +1 more source

Fuzzy optimization of municipal solid waste collection routing under uncertain emissions. [PDF]

Sci Rep
Zhang Y, Wei Y, Zhang B, Wu Y, Pan S.
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

Fast 3D-HEVC Depth Map Coding Method Based on Spatio-Temporal Correlation and a Two-Stage Mode Decision Framework. [PDF]

Sensors (Basel)
Tian E, Zhang J, Zhang Q.
europepmc   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Centralized two tier clustering method for wireless sensor networks based on a coupled cascaded fuzzy system. [PDF]

Sci Rep
Yuste-Delgado AJ, Triviño A, Diaz-Jimenez D, Cuevas-Martinez JC.   +3 more
europepmc   +1 more source

Multi‐Dimensional Conductive Nanocomposites for Flexible Electronics

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Multi‐dimensional conductive nanocomposites integrate 0D, 1D, and 2D nanomaterials through spatial structure regulation and interface engineering, achieving “1 + 1 > 2” synergistic effects. By leveraging 0D filling to reduce contact resistance, 1D bridging to construct continuous conductive paths, and 2D supporting to enhance mechanical stability ...
Tianyu Wang, Ruimin Cai, Abbas Ali, Lizhe Li, Li Yang, Hulin Zhang, Xuge Fan, Yumin Xia, Wenyong Lai, Linmao Qian, Tiehu Li, Guosheng Shao, Liang Tian   +12 more
wiley   +1 more source

State reliability analysis methods for nonlinear systems integrating adaptive entropy weighted grey relation and Dempster-Shafer's Theory. [PDF]

PLoS One
Gou L, Zhang J, Qi L, Wen L.
europepmc   +1 more source

Sex‐specific elevated incidence of glaucoma associated with topiramate versus valproate or lamotrigine in epilepsy, not migraine: A population‐based cohort study

Epilepsia, EarlyView.
Abstract Objective Topiramate has been linked to increased glaucoma risk, potentially through mechanisms involving ocular fluid shifts. However, comparative risks vs other antiseizure medications (ASMs) and variation by sex or indication remain uncertain.
Cuiling Wei, Rachel Yui Ki Chu, Rachel Lancey Lai, Florinda Hui‐Ning Chu, Ian Yu Hin Leung, William Chun Yin Leung, Franco Wing Tak Cheng, Thomas Chi Ho Lam, Ian Chi Kei Wong, Esther Wai Yin Chan, Francisco Tsz Tsun Lai   +10 more
wiley   +1 more source

A novel multi objective grey wolf optimization fuzzy miner for process discovery: Incorporating robustness and explainability in model evaluation. [PDF]

PLoS One
Salehi M, Khayami R, Mirmozaffari M.
europepmc   +1 more source