AIMC Topic: Bayes Theorem

Clear Filters Showing 251 to 260 of 1774 articles

A machine learning approach to investigate the impact of land use land cover (LULC) changes on groundwater quality, health risks and ecological risks through GIS and response surface methodology (RSM).

Journal of environmental management Jul 19, 2024
Groundwater resources are enormously affected by land use land cover (LULC) dynamics caused by increasing urbanisation, agricultural and household discharge as a result of global population growth. This study investigates the impact of decadal LULC c...
Geographic Information Systems India Agriculture Water Quality Groundwater Humans Environmental Monitoring Machine Learning Bayes Theorem
View on PubMed DOI

Inductive biases of neural network modularity in spatial navigation.

Science advances Jul 19, 2024
The brain may have evolved a modular architecture for daily tasks, with circuits featuring functionally specialized modules that match the task structure. We hypothesize that this architecture enables better learning and generalization than architect...
Humans Nerve Net Spatial Navigation Animals Neural Networks, Computer Models, Neurological Brain Bayes Theorem Learning
View on PubMed DOI

A comprehensive prediction system for silkworm acute toxicity assessment of environmental and in-silico pesticides.

Ecotoxicology and environmental safety Jul 18, 2024
The excessive application and loss of pesticides poses a great risk to the ecosystem, and the environmental safety assessment of pesticides is time-consuming and expensive using traditional animal toxicity tests. In this work, a pesticide acute toxic...
Environmental Pollutants Pesticides Lethal Dose 50 Toxicity Tests, Acute Bombyx Risk Assessment China Machine Learning Bayes Theorem Algorithms Computer Simulation Animals
View on PubMed DOI

Bayesian graph convolutional network with partial observations.

PloS one Jul 18, 2024
As a widely studied model in the machine learning and data processing society, graph convolutional network reveals its advantage in non-grid data processing. However, existing graph convolutional networks generally assume that the node features can b...
Machine Learning Humans Algorithms Neural Networks, Computer Bayes Theorem
View on PubMed DOI

Metaheuristic integrated machine learning classification of colon cancer using STFT LASSO and EHO feature extraction from microarray gene expressions.

Scientific reports Jul 17, 2024
The microarray gene expression data poses a tremendous challenge due to their curse of dimensionality problem. The sheer volume of features far surpasses available samples, leading to overfitting and reduced classification accuracy. Thus the dimensio...
Oligonucleotide Array Sequence Analysis Fourier Analysis Support Vector Machine Bayes Theorem Colonic Neoplasms Lung Neoplasms Gene Expression Regulation, Neoplastic Humans Machine Learning Algorithms Gene Expression Profiling
View on PubMed DOI

MSW-Net: A hierarchical stacking model for automated municipal solid waste classification.

Journal of the Air & Waste Management Association (1995) Jul 15, 2024
Efficient solid waste management is crucial for urban health and welfare in the midst of fast industrialization and urbanization. In this changing environment, government authorities have a significant role in addressing and reducing the effects of s...
Neural Networks, Computer Solid Waste Waste Management Refuse Disposal Cities Models, Theoretical Bayes Theorem
View on PubMed DOI

Cell recognition based on features extracted by AFM and parameter optimization classifiers.

Analytical methods : advancing methods and applications Jul 11, 2024
Intelligent technology can assist in the diagnosis and treatment of disease, which would pave the way towards precision medicine in the coming decade. As a key focus of medical research, the diagnosis and prognosis of cancer play an important role in...
Bayes Theorem Microscopy, Atomic Force Algorithms Neoplasms Humans Cell Line, Tumor Neural Networks, Computer Machine Learning
View on PubMed DOI

Development of a machine learning-based model for the prediction and progression of diabetic kidney disease: A single centred retrospective study.

International journal of medical informatics Jul 10, 2024
BACKGROUND: Diabetic kidney disease (DKD) is a diabetic microvascular complication often characterized by an unpredictable progression. Hence, early detection and recognition of patients vulnerable to progression is crucial.
Male Middle Aged Disease Progression Aged Adult Diabetic Nephropathies Bayes Theorem Humans Machine Learning Retrospective Studies Female
View on PubMed DOI

HAPI: An efficient Hybrid Feature Engineering-based Approach for Propaganda Identification in social media.

PloS one Jul 10, 2024
Social media platforms serve as communication tools where users freely share information regardless of its accuracy. Propaganda on these platforms refers to the dissemination of biased or deceptive information aimed at influencing public opinion, enc...
Humans Support Vector Machine Machine Learning Social Media Algorithms Bayes Theorem
View on PubMed DOI

Traditional Methods Hold Their Ground Against Machine Learning in Predicting Potentially Inappropriate Medication Use in Older Adults.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Jul 6, 2024
OBJECTIVES: Machine learning methods have gained much attention in health sciences for predicting various health outcomes but are scarcely used in pharmacoepidemiology. The ability to identify predictors of suboptimal medication use is essential for ...
Machine Learning Female Aged Humans Pharmacoepidemiology Inappropriate Prescribing Logistic Models Potentially Inappropriate Medication List Bayes Theorem Aged, 80 and over Quebec Male
View on PubMed DOI
Popular Topics
Recent Journals