Results 281 to 290 of about 10,485,189 (358)

Resolving passage ambiguity in machine reading comprehension using lightweight transformer architectures. [PDF]

Sci Rep
Nawaz A, Ahmed M, Khan HU, Daud A, Alshemaimri B, Iqbal T.   +5 more
europepmc   +1 more source

Thirty Years of Mentoring by “Bob Chan” of Young Japanese Surgeons to Become Scientists: An Adventure of Love

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Over the past three decades, we have mentored a generation of young Japanese surgeons, guiding them to become internationally recognized surgeon‐scientists. Through a unique collaboration between Japanese academic institutions and our laboratories at AntiCancer Inc.
Robert M. Hoffman, Kentaro Miyake, Itaru Endo   +2 more
wiley   +1 more source

Fine-Tuning BERT for Automated News Classification

Mohamed Salih, Suheb Mohammed, Abdalla Ibrahim, Omar M. Ahmed, Lailan M. Haji   +4 more
openalex   +2 more sources

3D investigation and modeling of the geometric effects on porosity in packed beds

AIChE Journal, EarlyView.
Abstract In porous beds, physical boundaries restrict particle arrangement, leading to inhomogeneous porosity. This paper reports on the porosity profiles that are the result of geometric effects on monodisperse packed beds in cylindrical and cubic arrangements. Special focus is given to the influence of edges and corners in cubic geometries.
Bastian Oldach, Konrad E. R. Boettcher, Alexander S. Sommer‐Behr, Norbert Kockmann   +3 more
wiley   +1 more source

Tackling toxicity in Arabic social media through advanced detection techniques. [PDF]

Sci Rep
Hatem L, Omar A, Ali AA, Farghaly HM.
europepmc   +1 more source

LEBERT :Lite and Efficiently Optimized BERT PRetraining Approach

Priyanka Yadav, Anjali Sharma
openalex   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

BBATProt: a framework predicting biological function with enhanced feature extraction via interpretable deep learning. [PDF]

Brief Bioinform
Wang Y, Ye X, Feng Y, Wang H, Lin X, Ma X, Zhang Y.   +6 more
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Explainable Structured Pruning of BERT via Mutual Information. [PDF]

Entropy (Basel)
Huang H, Song HJ, Zhao Q.
europepmc   +1 more source