Results 161 to 170 of about 2,251 (261)

Adaptive low-light image enhancement using Interval-Valued Intuitionistic Fuzzy Set optimized by Reptile Search Algorithm. [PDF]

Front Artif Intell
Yogambaram H, Sivabalakrishnan M, Balaji S.   +2 more
europepmc   +1 more source

Beyond goniometry: 3D digital twinning of droplets from a single image

Droplet, EarlyView.
We present a method to produce physics‐informed three‐dimensional digital twins of droplets from a single image for wettability analyses. We validate the method with goniometry and demonstrate its capabilities with advancing‐receding contact angle measurements, irregularly shaped droplets, and multi‐droplet systems, indicating strong potential for in ...
Isaac Berk, Emilie Luong, H. Jeremy Cho
wiley   +1 more source

Set-Membership Estimation for Switched T-S Fuzzy Systems with MDADT Switching in Tunnel Diode Circuits. [PDF]

Micromachines (Basel)
Xu J, Li Y, Guan C, Wang Z, Liu R.
europepmc   +1 more source

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

Intelligent automated essay scoring under uncertainty using type 2 neutrosophic ontologies. [PDF]

Sci Rep
Darwish SM, Bagi NA, El-Shoafy NA.
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

Optimizing decision making with Fermatean fuzzy soft Hamachar operators in the analysis of anaphylaxis (a life-threatening allergic reaction). [PDF]

Sci Rep
Zeb A, Ali N, Riaz M, Zhao H, Mahboob M, Hou M.   +5 more
europepmc   +1 more source

Shock wave propagation characteristics of aluminum‐containing explosive in corrugated steel‐lined tunnel

Deep Underground Science and Engineering, EarlyView.
Aluminum‐enhanced afterburning renders AE explosives more hazardous than conventional ones. Corrugated steel linings reduce far‐field AE blast overpressure by ~50% through wave reflection and dissipation. The developed model accurately predicts peak pressure (<10% error) and arrival time (<3% error), supporting protective design.
Zhen Wang, Jiayu Peng, Hujun Li, Yuguo Ji, Shuobiao Li, Guokai Zhang   +5 more
wiley   +1 more source

Evaluating generative AI tools for visual communication design using the CoCoSo method under interval valued spherical fuzzy environment. [PDF]

Sci Rep
Sun H, Liu S.
europepmc   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source