AIMC Topic: Algorithms

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Strategic forecasting of renewable energy production for sustainable electricity supply: A machine learning approach considering environmental, economic, and oil factors in Türkiye.

PloS one Aug 5, 2025
Providing electricity needs from renewable energy sources is an important issue in the energy policies of countries. Especially changes in energy usage rates make it necessary to use renewable energy resources to be sustainable. The electricity usage...
Machine Learning Algorithms Renewable Energy Forecasting Electricity Environment
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Machine learning-based predictive modeling of angina pectoris in an elderly community-dwelling population: Results from the PoCOsteo study.

PloS one Aug 5, 2025
BACKGROUND: Angina pectoris, a comparatively common complaint among older adults, is a critical warning sign of underlying coronary heart disease. We aimed to develop machine learning-based models using multiple algorithms to predict and identify the...
Humans Machine Learning Aged Algorithms Angina Pectoris Logistic Models Aged, 80 and over Female Support Vector Machine Male Independent Living
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Comparison of machine learning algorithms for predicting length of stay in chronic kidney disease patients.

Computers in biology and medicine Aug 4, 2025
The length of stay (LOS) for patients in hospitals is crucial for workforce planning, resource allocation, and bed capacity management, impacting healthcare costs, future needs and financial planning. This study focuses on calculating the LOS for Chr...
Male Middle Aged Length of Stay Algorithms Female Aged Renal Insufficiency, Chronic Humans Machine Learning
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A lightweight YOLOv8-based model for gastric cancer detection.

Computers in biology and medicine Aug 4, 2025
Recent research on deep learning-based gastric cancer detection has demonstrated high performance, with capabilities comparable to or exceeding those of medical professionals. However, the performance of deep learning models depends on the performanc...
Stomach Neoplasms Diagnosis, Computer-Assisted Deep Learning Humans Algorithms
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An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders.

BMC psychiatry Aug 4, 2025
BACKGROUND: Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for the precise diagnosis of mental disorders. However, its diagnostic potential has been constrained by the limitations of traditional statistical approac...
Niacin Female Algorithms Adult Bipolar Disorder Humans Flushing Mental Disorders Male Schizophrenia Machine Learning Biomarkers Datasets as Topic
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Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort.

BMC geriatrics Aug 4, 2025
BACKGROUND: Sepsis after hip fracture in elderly people is a risk factor for mortality. The purpose of this study was to screen for risk factors for 60-day sepsis morbidity after hip fracture and to establish a predictive model using various machine ...
Time Factors Morbidity Hip Fractures Humans Sepsis Machine Learning Cohort Studies Algorithms Aged, 80 and over Female Male Risk Factors Risk Assessment Aged
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Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization.

Scientific reports Aug 4, 2025
Falling poses a significant health risk to the elderly, often resulting in severe injuries if not promptly addressed. As the global population increases, the frequency of falls increases along with the associated financial burden. Hence, early detect...
Humans Neural Networks, Computer Algorithms Aged Deep Learning Accidental Falls
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Learning behavior aware features across spaces for improved 3D human motion prediction.

Scientific reports Aug 4, 2025
3D skeleton-based human motion prediction is an essential and challenging task for human-machine interactions, aiming to forecast future poses given a history of previous motions. However, most existing works model human motion dependencies exclusive...
Motion Movement Humans Machine Learning Algorithms Biomechanical Phenomena Imaging, Three-Dimensional
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Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets.

BMC bioinformatics Aug 4, 2025
As single-cell sequencing technology became widely used, scientists found that single-modality data alone could not fully meet the research needs of complex biological systems. To address this issue, researchers began simultaneously collect multi-mod...
Supervised Machine Learning Autoencoder Computational Biology Cluster Analysis Humans Software Algorithms Single-Cell Analysis
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A multisynaptic spiking neuron for simultaneously encoding spatiotemporal dynamics.

Nature communications Aug 4, 2025
Spiking neural networks (SNNs) are biologically more plausible and computationally more powerful than artificial neural networks due to their intrinsic temporal dynamics. However, vanilla spiking neurons struggle to simultaneously encode spatiotempor...
Synapses Neurons Axons Neural Networks, Computer Algorithms Animals Spatio-Temporal Analysis Models, Neurological Action Potentials Humans
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