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20112025
most citedSynthesis and characterization of cotton fiber-based nanocellulose

172 citations

Showing 2025Show all

7 papers · 1 filter

cs.LG2025★ 1 cited

SSAS: Cross-subject EEG-based Emotion Recognition through Source Selection with Adversarial Strategy

Yici Liu, Qi Wei Oung, Hoi Leong Lee

Electroencephalographic (EEG) signals have long been applied in the field of affective brain-computer interfaces (aBCIs). Cross-subject EEG-based emotion recognition has demonstrat…

quant-ph2025

Fisher Information Measures under Lattice Combined Paul Trap

Precious Ogbonda Amadi, Paphon Pewkhom, Pruet Kalasuwan +3

We examine how the informational properties of a confined single ion response in a Paul trap modified by optical-lattice. We focus on the ground and first excited motional states a…

cs.NE2025★ 4 cited

An improved educational competition optimizer with multi-covariance learning operators for global optimization problems

Baoqi Zhao, Xiong Yang, Hoileong Lee +1

The educational competition optimizer is a recently introduced metaheuristic algorithm inspired by human behavior, originating from the dynamics of educational competition within s…

cs.NE2025★ 2 cited

A modified RIME algorithm with covariance learning and diversity enhancement for numerical optimization

Shangqing Shi, Luoxiao Zhang, Yuchen Yin +2

Metaheuristics are widely applied for their ability to provide more efficient solutions. The RIME algorithm is a recently proposed physical-based metaheuristic algorithm with certa…

cs.NE2025★ 6 cited

A multi-strategy improved gazelle optimization algorithm for solving numerical optimization and engineering applications

Qi Diao, Chengyue Xie, Yuchen Yin +2

Aiming at the shortcomings of the gazelle optimization algorithm, such as the imbalance between exploration and exploitation and the insufficient information exchange within the po…

eess.IV2025★ 1 cited

A Steel Surface Defect Detection Method Based on Lightweight Convolution Optimization

Cong Chen, Ming Chen, Hoileong Lee +2

Surface defect detection of steel, especially the recognition of multi-scale defects, has always been a major challenge in industrial manufacturing. Steel surfaces not only have de…

cs.CL2025★ 12 cited

Investigating Retrieval-Augmented Generation in Quranic Studies: A Study of 13 Open-Source Large Language Models

Zahra Khalila, Arbi Haza Nasution, Winda Monika +4

Accurate and contextually faithful responses are critical when applying large language models (LLMs) to sensitive and domain-specific tasks, such as answering queries related to qu…