AIMC Topic: Algorithms
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Applying stacked machine learning models to guide electrochemical oxidation of antibiotics: Key parameter identification and process optimization insights.
Journal of environmental management
Jul 31, 2025
The continuous accumulation of antibiotics in the environment has become an increasingly concerned global environmental problem. Electrochemical advanced oxidation processes (EAOPs) have been attracted much attention in antibiotic degradation due to ...
Data-driven equation discovery reveals nonlinear reinforcement learning in humans.
Proceedings of the National Academy of Sciences of the United States of America
Jul 31, 2025
Computational models of reinforcement learning (RL) have significantly contributed to our understanding of human behavior and decision-making. Traditional RL models, however, often adopt a linear approach to updating reward expectations, potentially ...
A successive framework for brain tumor interpretation using Yolo variants.
Scientific reports
Jul 31, 2025
Accurate identification and segmentation of brain tumors in Magnetic Resonance Imaging (MRI) images are critical for timely diagnosis and treatment. MRI is frequently used to diagnose these disorders; however medical professionals find it challenging...
Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography.
Scientific reports
Jul 31, 2025
Pain assessment in clinical practice largely relies on patient-reported subjectivity. Although previous studies using fMRI and EEG have attempted objective pain evaluation, their focus has been limited to resting conditions. This study aimed to class...
Artificial intelligence-integrated video analysis of vessel area changes and instrument motion for microsurgical skill assessment.
Scientific reports
Jul 31, 2025
Mastering microsurgical skills is essential for neurosurgical trainees. Video-based analysis of target tissue changes and surgical instrument motion provides an objective, quantitative method for assessing microsurgical proficiency, potentially enhan...
Predicting stunting status among under five children in ethiopia using ensemblemachine learning algorithms.
Scientific reports
Jul 31, 2025
Childhood stunting is a persistent public health challenge in Ethiopia, significantly impacting children's physical growth, cognitive development, and overall well-being. This study overcame a key limitation in previous stunting prediction models by ...
Risk assessment of corn borer based on feature optimization and weighted spatial clustering: a case study in Shandong Province, China.
Scientific reports
Jul 31, 2025
As a typical pest affecting corn yield and safety, corn borer causes serious economic losses worldwide. Climate warming has intensified the occurrence of pest outbreaks in recent years, but the associated risk has not been precisely assessed or under...
Investigating the Impact of the Stationarity Hypothesis on Heart Failure Detection using Deep Convolutional Scattering Networks and Machine Learning.
Scientific reports
Jul 31, 2025
Detection of Cardiovascular Diseases (CVDs) has become crucial nowadays, as the World Health Organization (WHO) declares CVDs as the major leading causes of death in the globe. Moreover, the death rate due to CVDs is expected to rise in the next few ...
Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning.
Scientific reports
Jul 31, 2025
Parkinson's disease (PD) is a progressive neurological disorder that impairs movement control, leading to symptoms such as tremors, stiffness, and bradykinesia. Early and accurate PD detection is essential for effective management and improving patie...
Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study.
JMIR research protocols
Jul 31, 2025
BACKGROUND: Depression is a mental health condition that affects millions of people worldwide. Although common, it remains difficult to diagnose due to its heterogeneous symptomatology. Mental health questionnaires are currently the most used assessm...
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