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Showing 9 of 9 academic articles

MFSM: Chinese-English sentence alignment based on multi- feature self-attention mechanism fusion

Baolong Li • Journal of Applied Science and Engineering (2025)

Bilingual parallel corpora is a very important basic resource in the research field of natural language processing based on statistics. There are cross alignment and empty alignment in Chinese-English bilingual text, it is easy to affect th...

DOAJ Open Access (DOAJ) DOI: 10.6180/jase.202510_28(10).0005

Autonomous Driving Roadway Feature Interpretation Using Integrated Semantic Analysis and Domain Adaptation

Suyang Xi, Zihan Liu, Ziming Wang, Qiang Zhang et al. • IEEE Access (2024)

Lane detection is fundamental to autonomous driving, yet remains challenging in complex environments with occlusions, ambiguous markings, and varied lighting. We introduce the Global Semantic Enhancement Network (GSENet), a groundbreaking f...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3429396

Data Efficient Vision Transformer Based Model for Brain Tumor Classification in MRI

Vinodkumar Patil, Manisha Patil, Smital Patil, Satish Desale • Advances in Engineering and Intelligence Systems (2026)

Accurate detection of brain tumors at early stages is crucial for clinical diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) is the most popular method due to its soft-tissue contrast and spatial resolution. However, manual...

DOAJ Open Access (DOAJ) DOI: 10.22034/aeis.2026.570662.1424

Explainable and reliable kidney CT image classification using self-supervised DeiT-Tiny transformer

Sai Sri Hemantha Konala, Srinivas Koppu • Frontiers in Medicine (2026)

IntroductionKidney-related disorders are one of the global health concerns that require timely detection to prevent severe health complications. The use of computed tomography (CT) images for accurate classification of kidney diseases is im...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2026.1893419

Attention-based functional-group coarse-graining: a deep learning framework for molecular prediction and design

Ming Han, Ge Sun, Paul F. Nealey, Juan J. de Pablo • npj Computational Materials (2025)

Abstract Machine learning (ML) offers considerable promise for the design of new molecules and materials. In real-world applications, the design problem is often domain-specific, and suffers from insufficient data, particularly labeled data...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41524-025-01836-7

A multi-branch network for cooperative spectrum sensing via attention-based and CNN feature fusion

Doi Thi Lan, Quan T. Ngo, Luong Vuong Nguyen, O-Joun Lee • Scientific Reports (2026)

Abstract In cognitive radio (CR) systems, the accurate detection of spectrum holes is a cornerstone for efficient spectrum utilization. However, the increasing complexity of CR environments, particularly those with multiple primary users (P...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-36031-1