AIMC Topic: Machine Learning

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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 Machine Learning Knowledge Algorithms Humans Neural Networks, Computer Distillation
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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 Natural Gas Humans Models, Theoretical Cities Machine Learning Turkey
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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...
Child, Preschool Health Surveys Infant Mortality Bangladesh Child Mortality Male Infant Infant, Newborn Adult Machine Learning Algorithms Female Humans
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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...
Machine Learning Humans Algorithms Transportation Neural Networks, Computer
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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...
Graphite Nitrogen Compounds Machine Learning Oxygen Catalysis Oxides Cobalt
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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...
Vaccine Development Bayes Theorem Vaccines Humans Machine Learning
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Machine learning driven biomarker selection for medical diagnosis.

PloS one Jun 11, 2025
Recent advances in experimental methods have enabled researchers to collect data on thousands of analytes simultaneously. This has led to correlational studies that associated molecular measurements with diseases such as Alzheimer's, Liver, and Gastr...
Sensitivity and Specificity Logistic Models Algorithms Biomarkers Humans Machine Learning
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Unveiling Hidden Health Risks: Machine Learning Enhanced Modeling of Plastic Additive Release Kinetics in Fresh Produce Packaging.

Environmental science & technology Jun 10, 2025
Fresh produce packaging (FPP) plays a critical role in protecting fruits and vegetables from various environmental factors. However, the presence, migration, and human health risks of additives in FPP have received limited attention. This study inves...
Food Packaging Plastics Kinetics Humans Machine Learning Fruit Plasticizers Vegetables
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High-Throughput Analysis of Protein Adsorption to a Large Library of Polymers Using Liquid Extraction Surface Analysis-Tandem Mass Spectrometry (LESA-MS/MS).

Analytical chemistry Jun 10, 2025
Biomaterials play an important role in medicine from contact lenses to joint replacements. High-throughput screening coupled with machine learning has identified synthetic polymers that prevent bacterial biofilm formation, prevent fungal cell attachm...
High-Throughput Screening Assays Surface Properties Adsorption Proteins Tandem Mass Spectrometry Liquid-Liquid Extraction Polymers Machine Learning
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Automated classification of seizure onset pattern using intracranial electroencephalogram signal of non-human primates.

Physiological measurement Jun 10, 2025
To develop and validate a machine learning framework for the classification of distinct seizure onset patterns using intracranial EEG (iEEG) recordings in a non-human primate (NHP) model of penicillin-induced seizures.iEEG data were collected from si...
Machine Learning Animals Electroencephalography Seizures Automation Electrocorticography Signal Processing, Computer-Assisted Primates
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