Results 111 to 120 of about 16,917 (207)

Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition

Applied AI Letters, Volume 7, Issue 2, June 2026.
Our Self‐Supervised Feature Fusion (SSF‐FT) method enhances low‐resource speech recognition by adaptively combining features from self‐supervised models trained with Contrastive, Predictive, and Reconstruction objectives. This attention‐weighted ensemble delivers robust performance, particularly in acoustically challenging conditions, extending current
Ussen Kimanuka, Ciira wa Maina, Osman Büyük   +2 more
wiley   +1 more source

A paired sequence language model for protein-protein interaction modeling. [PDF]

Nat Commun
Liu J, Chen H, Zhang Y.
europepmc   +1 more source

Diffusional magnetic resonance imaging anonymizing with variational autoencoder

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Anonymization is a crucial de‐identification technique that protects data privacy while ensuring its utility for model building. Current generative models such as generative adversarial networks and variational auto‐encoders (VAEs) have been applied to medical image anonymization but mainly focus on general image features, lacking specificity ...
Yunheng Shen, Ling Zheng, Ruohan Liu, Haoran Feng, Hairong Lv   +4 more
wiley   +1 more source

Joint Mainlobe and Sidelobe Jamming Mitigation via Randomized Intra-Group Subcarrier Selection in MDFH Systems. [PDF]

Sensors (Basel)
Yang L, Ding D, Cai Y, Han R, Zhang W, Zhang M, Zhang X.   +6 more
europepmc   +1 more source

Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew, Md Rabiul Hasan, Tapio Seppänen, Mourad Oussalah   +3 more
wiley   +1 more source

High-performance fault-tolerant quantum computing with many-hypercube codes. [PDF]

Sci Adv
Goto H.
europepmc   +1 more source

Distribution‐Guided Ensemble Postprocessing for S2S Precipitation Forecasts: A Seamless Pathway Using Deep Generative Models

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Atmosphere‐ocean‐land coupled forecasting systems, despite their comprehensiveness, face substantial challenges in the “predictability desert” at subseasonal to seasonal (S2S) timescales, particularly for precipitation—a variable crucial for socioeconomic activities yet of stunning spatiotemporal variance. Post‐processing methods developed for
Wen Shi, Baoxiang Pan, Jianbin Huang, Tingfeng Dou, Jie Feng, Huihui Yuan, Anran Wang, Xin Xia, Lei Huang, Yong Luo   +9 more
wiley   +1 more source

Omega deoxyribonucleic acid cryptography key-based authentication. [PDF]

Sci Rep
Chuah CW, Tey J, Mohamad KM.
europepmc   +1 more source

Nucleomorph phylogenomics suggests a deep and ancient origin of cryptophyte plastids within Rhodophyta

New Phytologist, Volume 250, Issue 5, Page 3103-3113, June 2026.
Summary The evolutionary origin of red algae‐derived complex plastids remains obscure. Cryptophyta, one of four eukaryotic lineages harboring these plastids, still contains nucleomorphs, which are highly reduced remnants of red algal nuclei. The genes present on nucleomorph genomes can be used for phylogenomic reconstruction in order to unravel the ...
Lukáš V. F. Novák, Sergio A. Muñoz‐Gómez, Maria Ciobanu, Fabian van Beveren, Laura Eme, Purificación López‐García, David Moreira   +6 more
wiley   +1 more source

Enhancing k_cat prediction through residue-aware attention mechanism and pre-trained representations. [PDF]

Commun Biol
Cai Y, Ge F, Zhang C, Chen H, Qi X, Liao X, Wang L.   +6 more
europepmc   +1 more source