IEEE

Enhancing Sepsis Detection Using BiLSTM with Attention Mechanism: A Time-Series Deep Learning Framework

Abstract: Sepsis is a life-threatening condition that requires early and accurate detection to improve patient survival rates. This study proposed encoder-decoder approach with a Bidirectional Long ...
IEEE

StutterZero and StutterFormer: End-to-End Speech Conversion for Stuttering Transcription and Correction

Abstract: Over 70 million people worldwide experience stuttering, yet most automatic speech sys- tems misinterpret disfluent utterances or fail to transcribe them accurately. Existing methods for ...
eLife

High-Fidelity Neural Speech Reconstruction through an Efficient Acoustic-Linguistic Dual-Pathway Framework

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
GitHub

dual-branch-encoder

Dual-AttnGAN: A dual-input GAN for joint low-light image enhancement and 4× super-resolution, fusing wide-angle and zoomed images via asymmetric cross-attention.