Results 231 to 240 of about 971,207 (276)

Through-the-scope twin clip for endoscopic closure of gastrointestinal defects: efficacy, safety, and factors influencing closure speed. [PDF]

Surg Endosc
Li C, Chen C, Huang F, Zhang N, Wang T, Xu Y, Xu Z, Zhao H, Liang Z, Li S, Feng Y.   +10 more
europepmc   +1 more source

Analysis of Multiscale Condensation Phenomena Using a Zero‐Shot Computer Vision Framework

Advanced Science, EarlyView.
A zero‐shot computer vision framework quantifies multiscale condensation dynamics by automatically segmenting droplets and extracting physical parameters without labeled data. The workflow integrates data mining and statistical analysis to reveal droplet growth, coalescence statistics, and sweeping behaviors, enabling label‐free measurement of heat ...
Donghyeong Lee, Seokwan Roh, Jaewoo Jeong, Kuk‐Jin Yoon, Jungchul Lee, Youngsuk Nam   +5 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

Advanced Science, EarlyView.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang, Muyang Chen, Gengyi Bao, Yan Lai, Jinghe Cao, Xinhua Liu, Rui Tan   +6 more
wiley   +1 more source

iWAX: interpretable Wav2vec-AASIST-XGBoost framework for voice spoofing detection. [PDF]

Sci Rep
Lee S, Choi S, Kang T, Chung S, Han S, Seo J, Park S, Kim E, Oh S, Kwak IY.   +9 more
europepmc   +1 more source

Using Machine Learning as a Seroma Risk Assessment Tool in Prepectoral Breast Reconstruction. [PDF]

Plast Reconstr Surg Glob Open
Chinta SR, Lisk R, Shah AR, Boyd CJ, Hemal K, Sorenson TJ, Choi M, Rodriguez ED, Cohen OD, Karp NS.   +9 more
europepmc   +1 more source

Deep learning and dual-radiomics model incorporating brachytherapy applicator type to predict radiation-induced acute rectal injury in cervical cancer patients. [PDF]

Phys Imaging Radiat Oncol
Ning B, Li Z, Yu D, Li C, Liu Q, Bai Y.
europepmc   +1 more source

An artificial intelligence-powered learning health system to improve sepsis detection and quality of care: a before-and-after study. [PDF]

NPJ Digit Med
Despraz J, Matusiak R, Nektarijevic S, Rossetti V, Bastardot F, Akrour R, Konasch A, Gauthiez E, Pignolet O, Pepe S, Chiche JD, Kaufmann DE, Calandra T, Raisaro JL, Meylan S, CHUV Sepsis consortium.   +15 more
europepmc   +1 more source

Integrating image processing and machine learning for phase specific estimation of Manning roughness coefficient in furrow irrigation. [PDF]

Sci Rep
Rad HR, Ebrahimian H, Liaghat A, Omid M, Khalaji F, Arani MS.   +5 more
europepmc   +1 more source