Results 61 to 70 of about 379 (188)

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

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

Performance of serial concatenated convolutional codes with MSK over ISI wireless channels [PDF]

, 2003
Le Feng
openalex  

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

Hybrid ARQ with parallel and serial concatenated convolutional codes for next generation wireless communications

, 2001
Naveen Chandran
openalex   +2 more sources

Machine Learning for Local Detection of Separators in Three‐Dimensional Magnetic Fields

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Magnetic reconnection is a major plasma phenomenon occurring in various key environments ranging from the Sun and near‐Earth space to astrophysical plasmas. While magnetic reconnection is relatively well‐understood under two‐dimensional (2D) settings, it remains challenging to characterize in three‐dimensional (3D) magnetic fields.
Fanni Franssila, Markku Alho, Ioanna Bouri, Daniel Holmberg, Minna Palmroth, Teemu Roos   +5 more
wiley   +1 more source

Performance Comparison of Serial Concatenated Convolutional Codes and Parallel Concatenated Convolutional Codes on Faded Channels

, 2012
Sajjad Ahmed Ghauri, Muhammad Sajid Javaid, Hanan Adeel, Ijaz Mansoor Qureshi   +3 more
openalex   +1 more source

Predicting SARS‐CoV‐2 Infection With Graph Attention Capsule Networks

Computational Intelligence, Volume 42, Issue 3, June 2026.
ABSTRACT Recent studies in machine learning have demonstrated the effectiveness of applying graph neural networks (GNNs) to single‐cell RNA sequencing (scRNA‐seq) data to predict COVID‐19 disease states. In this study, we propose an explainable graph attention capsule network (GACapNet), which extracts and fuses Severe Acute Respiratory Syndrome ...
Runjie Zhu, Jimmy Xiangji Huang, Amran Bhuiyan, Zhiwen Xie, Guangyou Zhou   +4 more
wiley   +1 more source

Symbol‐Level GRAND‐Assisted Detection for Polar‐Coded Spatial Modulation in MIMO Systems

International Journal of Communication Systems, Volume 39, Issue 7, 10 May 2026.
This research presents an integrated polar‐coded spatial modulation (PCSM) transceiver scheme for MIMO transmission over Rayleigh fading channels. The proposed architecture employs linear spatial signal processing for antenna and symbol estimation, followed by symbol‐level guessing random additive noise decoding (symbol‐level GRAND)–assisted detection ...
Abhilasha Gautam, Prabhat Thakur, Ghanshyam Singh   +2 more
wiley   +1 more source

TriNet: A tri-fusion neural network for the prediction of anticancer and antimicrobial peptides. [PDF]

Patterns (N Y), 2023
Zhou W, Liu Y, Li Y, Kong S, Wang W, Ding B, Han J, Mou C, Gao X, Liu J.   +9 more
europepmc   +1 more source