AIMC Topic: Iran

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Coupling artificial neural network and sperm swarm optimization for soil temperature prediction at multiple depths.

Environmental science and pollution research international Sep 20, 2024
Soil temperature (ST) stands as a pivotal parameter in the realm of water resources and irrigation. It serves as a guide for farmers, enabling them to determine optimal planting and fertilization timings. In the backdrop of regions like Iran, where w...
Models, Theoretical Iran Algorithms Temperature Soil Neural Networks, Computer
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Assessment of noise pollution-prone areas using an explainable geospatial artificial intelligence approach.

Journal of environmental management Sep 9, 2024
This research aims to use the power of geospatial artificial intelligence (GeoAI), employing the categorical boosting (CatBoost) machine learning model in conjunction with two metaheuristic algorithms, the firefly algorithm (CatBoost-FA) and the frui...
Noise Iran Artificial Intelligence Machine Learning Algorithms Environmental Monitoring
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Prediction of childbearing tendency in women on the verge of marriage using machine learning techniques.

Scientific reports Sep 6, 2024
The declining fertility rate and increasing marriage age among girls pose challenges for policymakers, leading to issues such as population decline, higher social and economic costs, and reduced labor productivity. Using machine learning (ML) techniq...
Machine Learning Algorithms Female Humans Iran Marriage Reproductive Behavior Young Adult Adult Support Vector Machine
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Deep learning insights into spatial patterns of stable isotopes in Iran's precipitation: a novel approach to climatological mapping.

Isotopes in environmental and health studies Sep 3, 2024
Stable isotope techniques are precise methods for studying various aspects of hydrology, such as precipitation characteristics. However, understanding the variations in the stable isotope content in precipitation is challenging in Iran due to numerou...
Deep Learning Climate Rain Carbon Isotopes Environmental Monitoring Oxygen Isotopes Iran Isotopes
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Machine learning techniques to identify risk factors of breast cancer among women in Mashhad, Iran.

Journal of preventive medicine and hygiene Aug 31, 2024
BACKGROUND: Low survival rates of breast cancer in developing countries are mainly due to the lack of early detection plans and adequate diagnosis and treatment facilities.
Principal Component Analysis Young Adult Adult Iran Breast Neoplasms Female Logistic Models Middle Aged Humans Risk Factors Decision Trees Case-Control Studies Machine Learning Aged Adolescent
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Risk factors for the time to development of retinopathy of prematurity in premature infants in Iran: a machine learning approach.

BMC ophthalmology Aug 23, 2024
BACKGROUND: Retinopathy of prematurity (ROP), is a preventable leading cause of blindness in infants and is a condition in which the immature retina experiences abnormal blood vessel growth. The development of ROP is multifactorial; nevertheless, the...
Infant, Newborn Risk Factors Male Infant Time Factors Iran Gestational Age Machine Learning Birth Weight Humans Infant, Premature Retinopathy of Prematurity Retrospective Studies Female
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Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping.

Environmental science and pollution research international Aug 19, 2024
This study was carried out with the aim of applying Condorcet and Borda scoring algorithms based on Game Theory (GT) to determine flood points and Flood Susceptibility Mapping (FSM) based on Machine Learning Algorithms (MLA) including Random Forest (...
Algorithms Support Vector Machine Supervised Machine Learning Iran Floods Game Theory Machine Learning
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Comparative analysis of feature selection techniques for COVID-19 dataset.

Scientific reports Aug 11, 2024
In the context of early disease detection, machine learning (ML) has emerged as a vital tool. Feature selection (FS) algorithms play a crucial role in ensuring the accuracy of predictive models by identifying the most influential variables. This stud...
Iran Female SARS-CoV-2 Aged Adult COVID-19 Male Algorithms Humans Middle Aged Retrospective Studies Machine Learning
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Improving the quality of Persian clinical text with a novel spelling correction system.

BMC medical informatics and decision making Aug 5, 2024
BACKGROUND: The accuracy of spelling in Electronic Health Records (EHRs) is a critical factor for efficient clinical care, research, and ensuring patient safety. The Persian language, with its abundant vocabulary and complex characteristics, poses un...
Algorithms Electronic Health Records Natural Language Processing Humans Iran
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Enhancing flood mapping through ensemble machine learning in the Gamasyab watershed, Western Iran.

Environmental science and pollution research international Aug 2, 2024
Floods are among the natural hazards that have seen a rapid increase in frequency in recent decades. The damage caused by floods, including human and financial losses, poses a serious threat to human life. This study evaluates two machine learning (M...
Geographic Information Systems Support Vector Machine Iran Humans Machine Learning Floods
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