AIMC Topic: Support Vector Machine

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Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network.

PloS one Jul 8, 2025
Accurate risk assessment in international trade settlement has become increasingly critical as global financial transactions grow in scale and complexity. This study proposes a hybrid model-Genetic Algorithm-optimized Fuzzy Neural Network (GA-FNN)-to...
Neural Networks, Computer Algorithms Risk Assessment Support Vector Machine Humans Fuzzy Logic Commerce Genetic Algorithms
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Groundwater health probability risk prediction through oral intake using advanced optimization methods.

Journal of contaminant hydrology Jul 7, 2025
Examining the cancer risk associated with oral groundwater (GW) intake is crucial, particularly in regions heavily reliant on GW for human consumption and agriculture. The study was based on real field investigations and controlled laboratory experim...
Support Vector Machine Humans Water Pollutants, Chemical Neural Networks, Computer Risk Assessment Bayes Theorem Neoplasms Probability Groundwater Environmental Monitoring
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Enhanced particle swarm optimization for feature selection in SVM-based Alzheimer's disease diagnosis.

Scientific reports Jul 7, 2025
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder marked by neuronal loss, leading to cognitive and behavioral decline. With the aging global population, AD incidence and its socioeconomic burden are increasing. Developing effectiv...
Magnetic Resonance Imaging Alzheimer Disease Gray Matter Aged Male Support Vector Machine White Matter Particle Swarm Optimization Humans Algorithms Brain Female
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Intelligent brain tumor detection using hybrid finetuned deep transfer features and ensemble machine learning algorithms.

Scientific reports Jul 4, 2025
Brain tumours (BTs) are severe neurological disorders. They affect more than 308,000 people each year worldwide. The mortality rate is over 251,000 deaths annually (IARC, 2020 reports). Detecting BTs is complex because they vary in nature. Early diag...
Humans Deep Learning Machine Learning Neural Networks, Computer Support Vector Machine Algorithms Magnetic Resonance Imaging Brain Neoplasms
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A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs.

Scientific reports Jul 4, 2025
Rheumatoid arthritis (RA) is a chronic autoimmune disease affecting millions worldwide, leading to inflammation, joint damage, and reduced quality of life. Although biological disease-modifying antirheumatic drugs (bDMARDs) are effective, they are co...
Humans Machine Learning Female Middle Aged Support Vector Machine Aged Arthritis, Rheumatoid Risk Assessment Remission Induction Adult Treatment Outcome Antirheumatic Agents Male
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Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes.

Scientific reports Jul 4, 2025
Maternal mental health during pregnancy is a crucial area of research due to its profound impact on both maternal and child well-being. This paper proposes a comprehensive approach to predicting and monitoring psychological health risks in pregnant w...
Female Young Adult Adult Mental Health Pregnancy Outcome Support Vector Machine Humans Maternal Health Machine Learning Bayes Theorem Pregnancy Yoga
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Can circadian rhythms of heart rate variability identify major depressive disorder? - A study based on support vector machine analysis.

Asian journal of psychiatry Jul 3, 2025
BACKGROUND: Major depressive disorder (MDD) is a prevalent and severe psychiatric condition for which objective diagnostic tools are lacking. Heart rate variability (HRV), an index of autonomic nervous system (ANS) function, has shown potential for d...
Adult Circadian Rhythm Heart Rate Sensitivity and Specificity Autonomic Nervous System Male Electrocardiography Humans Support Vector Machine Middle Aged Female Depressive Disorder, Major Young Adult
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A novel hybrid vision UNet architecture for brain tumor segmentation and classification.

Scientific reports Jul 3, 2025
This paper focuses on designing and developing novel architectures termed Hybrid Vision UNet-Encoder Decoder (HVU-ED) segmenter and Hybrid Vision UNet-Encoder (HVU-E) classifier for brain tumor segmentation and classification, respectively. The propo...
Algorithms Brain Neoplasms Image Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning Support Vector Machine Magnetic Resonance Imaging
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Enhancing game outcome prediction in the Chinese basketball league through a machine learning framework based on performance data.

Scientific reports Jul 3, 2025
Basketball remains among the most globally popular sports, with its various competitions drawing substantial attention. The analysis and modeling of basketball game data have long been central topics in sports analytics. In recent years, integrating ...
Athletic Performance Basketball Support Vector Machine Humans East Asian People Machine Learning Bayes Theorem Algorithms Male China
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Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction.

Scientific reports Jul 3, 2025
Leukemia is the most prevalent form of blood cancer, affecting individuals across all age groups. Early and accurate diagnosis is crucial for effective treatment and improved clinical outcomes. Peripheral blood smear analysis, a key non-invasive diag...
Leukemia Deep Learning Humans Support Vector Machine Neural Networks, Computer Precursor Cell Lymphoblastic Leukemia-Lymphoma Machine Learning
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