AIMC Topic: Machine Learning

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POC-CSP: a novel parameterised and orthogonally-constrained neural network layer for learning common spatial patterns (CSP) in EEG signals.

Journal of neural engineering Jun 11, 2025
. Common spatial patterns (CSPs) has been established as a powerful feature extraction method in EEG signal processing with machine learning, but it has shortcomings including sensitivity to noise and rigidity in the value of the weights. Our goal wa...
Neural Networks, Computer Machine Learning Adult Humans Imagination Electroencephalography Brain-Computer Interfaces Male
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Enhancing R-loop prediction with high-throughput sequencing data.

NAR genomics and bioinformatics Jun 11, 2025
R-loops are three-stranded RNA and DNA hybrid structures that often occur in the genome and play important roles in a variety of cellular processes from bacteria to mammals. Sequencing methods profiling R-loops genome-wide have revealed that they can...
Humans Machine Learning Animals High-Throughput Nucleotide Sequencing Chromatin Mice R-Loop Structures
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Extremity Soft Tissue Sarcoma Reconstruction Nomograms: A Clinicoradiomic, Machine Learning-Powered Predictor of Postoperative Outcomes.

JCO clinical cancer informatics Jun 11, 2025
PURPOSE: The choice of wound closure modality after limb-sparing extremity soft-tissue sarcoma (eSTS) resection is fraught with uncertainty. Leveraging machine learning and clinicoradiomic data, we developed Sarcoma Reconstruction Nomograms (SARCON),...
Male Middle Aged Postoperative Complications Young Adult Adult Sarcoma Soft Tissue Neoplasms Extremities Treatment Outcome Plastic Surgery Procedures Humans Nomograms Machine Learning Female Retrospective Studies Aged
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DeepSeek-AI-enhanced virtual reality training for mass casualty management: Leveraging machine learning for personalized instructional optimization.

PloS one Jun 11, 2025
OBJECTIVE: This study aimed to evaluate the effectiveness of a virtual reality (VR) training system for mass casualty management, integrating artificial intelligence (AI) and machine learning (ML) to analyze trainee performance and error patterns. Th...
Male Virtual Reality Mass Casualty Incidents Machine Learning Female Humans Adult Artificial Intelligence
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Tailored knowledge distillation with automated loss function learning.

PloS one Jun 11, 2025
Knowledge Distillation (KD) is one of the most effective and widely used methods for model compression of large models. It has achieved significant success with the meticulous development of distillation losses. However, most state-of-the-art KD loss...
Learning Knowledge Distillation Machine Learning Algorithms Humans Neural Networks, Computer
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Forecasting monthly residential natural gas demand in two cities of Turkey using just-in-time-learning modeling.

PloS one Jun 11, 2025
Natural gas (NG) is relatively a clean source of energy, particularly compared to fossil fuels, and worldwide consumption of NG has been increasing almost linearly in the last two decades. A similar trend can also be seen in Turkey, while another sim...
Forecasting Cities Models, Theoretical Humans Machine Learning Turkey Natural Gas
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Identifying determinants of under-5 mortality in Bangladesh: A machine learning approach with BDHS 2022 data.

PloS one Jun 11, 2025
BACKGROUND: Under-5 mortality in Bangladesh remains a critical indicator of public health and socio-economic development. Traditional methods often struggle to capture the complex, non-linear relationships influencing under-5 mortality. This study le...
Female Infant, Newborn Male Infant Adult Child Mortality Humans Infant Mortality Machine Learning Bangladesh Algorithms Child, Preschool Health Surveys
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Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction.

PloS one Jun 11, 2025
Accurate traffic flow prediction is vital for intelligent transportation systems but presents significant challenges. Existing methods, however, have the following limitations: (1) insufficient exploration of interactions across different temporal sc...
Neural Networks, Computer Machine Learning Transportation Humans Algorithms
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Machine Learning Driven Synthesis of Cobalt Oxide Entrapped Heteroatom-Doped Graphitic Carbon Nitride for Enhanced Oxygen Evolution Reaction.

PloS one Jun 11, 2025
Developing highly efficient electrocatalysts for the oxygen evolution reaction is hindered by sluggish multi-electron kinetics, poor charge transfer efficiency, and limited active site accessibility. Transition metal-based electrocatalysts, such as c...
Nitrogen Compounds Catalysis Cobalt Graphite Machine Learning Oxygen Oxides
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Bayesian optimization and machine learning for vaccine formulation development.

PloS one Jun 11, 2025
Developing vaccines with a better stability is an area of improvement to meet the global health needs of preventing infectious diseases. With the advancement of data science and artificial intelligence, innovative approaches have emerged. This manusc...
Vaccines Humans Vaccine Development Machine Learning Bayes Theorem
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