AIMC Topic: Algorithms

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Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images.

Scientific reports Aug 9, 2025
Brain stroke is an illness which affects almost every age group, particularly people over 65. There are two significant kinds of strokes: ischemic and hemorrhagic strokes. Blockage of brain vessels causes an ischemic stroke, while cracks in blood ves...
Deep Learning Algorithms Persons with Disabilities Brain Stroke Image Processing, Computer-Assisted Humans Artificial Intelligence
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Machine learning models for predicting morphological traits and optimizing genotype and planting date in roselle (Hibiscus Sabdariffa L.).

Scientific reports Aug 9, 2025
Accurate prediction and optimization of morphological traits in Roselle are essential for enhancing crop productivity and adaptability to diverse environments. In the present study, a machine learning framework was developed using Random Forest and M...
Genotype Algorithms Quantitative Trait, Heritable Machine Learning Hibiscus Phenotype
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Oral cancer detection via Vanilla CNN optimized by improved artificial protozoa optimizer.

Scientific reports Aug 9, 2025
In this study, we propose a new method for oral cancer detection using a modified Vanilla Convolutional Neural Network (CNN) architecture with incorporated batch normalization, dropout regularization, and a customized design structure for the convolu...
Mouth Neoplasms Algorithms ROC Curve Humans Image Processing, Computer-Assisted Neural Networks, Computer
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Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction.

Scientific reports Aug 9, 2025
Accurate scientific predicting of water requirements for protected agriculture crops is essential for informed irrigation management. The Penman-Monteith model, endorsed by the Food and Agriculture Organization of the United Nations (FAO), is current...
Solanum lycopersicum Crops, Agricultural Agricultural Irrigation Algorithms Water Agriculture Machine Learning
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Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods.

Scientific reports Aug 8, 2025
COVID-19 has posed a significant global health challenge, affecting individuals across all age groups. While extensive research has focused on adults, pediatric patients exhibit distinct clinical characteristics that necessitate specialized predictiv...
Humans Machine Learning Male Child Infant COVID-19 Adolescent Retrospective Studies Female Algorithms Child, Preschool SARS-CoV-2 Severity of Illness Index
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AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptides.

Scientific reports Aug 8, 2025
Aging is a natural phenomenon characterized by the loss of normal morphology and physiological functioning of the body, causing wrinkles on the skin, loss of hair, and compromised immune systems. Peptide therapies have emerged as a promising approach...
Peptides Computational Biology Antimicrobial Peptides Machine Learning Humans Algorithms Aging
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Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets.

Scientific reports Aug 8, 2025
Accurate detection of brain tumors remains a significant challenge due to the diversity of tumor types along with human interventions during diagnostic process. This study proposes a novel ensemble deep learning system for accurate brain tumor classi...
Brain Neoplasms Deep Learning Magnetic Resonance Imaging Artificial Intelligence Algorithms Entropy Humans Neural Networks, Computer
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BCDCNN: breast cancer deep convolutional neural network for breast cancer detection using MRI images.

Scientific reports Aug 8, 2025
Breast cancer (BC) is a kind of cancer that is created from the cells in breast tissue. This is a primary cancer that occurs in women. Earlier identification of BC is significant in the treatment process. To lessen unwanted biopsies, Magnetic Resonan...
Neural Networks, Computer Algorithms Female Humans Image Interpretation, Computer-Assisted Convolutional Neural Networks Image Processing, Computer-Assisted Magnetic Resonance Imaging Breast Neoplasms Deep Learning
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Influence of sample size and machine learning algorithms on digital soil nutrient mapping accuracy.

Environmental monitoring and assessment Aug 8, 2025
The objective of this study is to evaluate and compare the performance of different machine learning (ML) algorithms, viz., multi-layer perceptron (MLP), random forest (RF), extra trees regressor (ETR), CatBoost, and gradient boost (GB), considering ...
Soil India Environmental Monitoring Machine Learning Algorithms Nitrogen Nutrients Phosphorus Sample Size Soil Pollutants
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Federated hierarchical MARL for zero-shot cyber defense.

PloS one Aug 8, 2025
Cyber defense systems face increasingly sophisticated threats that rapidly evolve and exploit vulnerabilities in complex environments. Traditional approaches which often rely on centralized monitoring and static rule-based detection, struggle to adap...
Humans Algorithms Computer Security Machine Learning
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