AIMC Topic: Algorithms

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LKDA-Net: Hierarchical transformer with large Kernel depthwise convolution attention for 3D medical image segmentation.

PloS one Aug 8, 2025
Since Transformers have demonstrated excellent performance in the segmentation of two-dimensional medical images, recent works have also introduced them into 3D medical segmentation tasks. For example, hierarchical transformers like Swin UNETR have r...
Algorithms Imaging, Three-Dimensional Humans Neural Networks, Computer Image Processing, Computer-Assisted
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Application of AI-based techniques for anomaly management in wastewater treatment plants: A review.

Journal of environmental management Aug 7, 2025
Effective anomaly management of wastewater treatment plants (WWTPs) is crucial for environmental conservation and public health security. Traditional monitoring methods often struggle with challenges such as multivariate coupling, nonlinear dynamics,...
Wastewater Algorithms Waste Disposal, Fluid Artificial Intelligence
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Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques.

Scientific reports Aug 7, 2025
Skin cancer, especially melanoma, has become one of the most widespread and deadly diseases today. The chances of successful treatment are greatly reduced if the melanoma is not treated in its early stages because it could spread aggressively. Hence,...
Deep Learning Melanoma Humans ROC Curve Skin Neoplasms Algorithms
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Lightweight grape leaf disease recognition method based on transformer framework.

Scientific reports Aug 7, 2025
Grape disease image recognition is an important part of agricultural disease detection. Accurately identifying diseases allows for timely prevention and control at an early stage, which plays a crucial role in reducing yield losses. This study addres...
Plant Diseases Plant Leaves Vitis Algorithms Image Processing, Computer-Assisted
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Explainable illicit drug abuse prediction using hematological differences.

Scientific reports Aug 7, 2025
This study aimed to develop a reliable and explainable predictive model for illicit drug use (IDU). The model uses a machine learning (ML) algorithm to predict IDU using hematological differences between illicit drug users (IDUr) and non-users (n-IDU...
Illicit Drugs Middle Aged Substance-Related Disorders Adult Male Humans Machine Learning Female Algorithms Young Adult
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A Comprehensive Behavioral Dataset for the Abstraction and Reasoning Corpus.

Scientific data Aug 7, 2025
The Abstraction and Reasoning Corpus (ARC) is a visual program synthesis benchmark designed to test out-of-distribution generalization in machines. Comparing AI algorithms to human performance is essential to measure progress on these problems. In th...
Humans Artificial Intelligence Algorithms Problem Solving Behavior
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CAS-Colon: A Comprehensive Colonoscopy Anatomical Segmentation Dataset for Artificial Intelligence Development.

Scientific data Aug 7, 2025
Artificial intelligence (AI) holds immense potential to transform gastrointestinal endoscopy by reducing manual workload and enhancing procedural efficiency. However, the development of robust AI algorithms is hindered by limited access to high-quali...
Algorithms Colon Humans Colonoscopy Video Recording Artificial Intelligence
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Multi-module UNet++ for colon cancer histopathological image segmentation.

Scientific reports Aug 7, 2025
In the pathological diagnosis of colorectal cancer, the precise segmentation of glandular and cellular contours serves as the fundamental basis for achieving accurate clinical diagnosis. However, this task presents significant challenges due to compl...
Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Colonic Neoplasms Algorithms Deep Learning Humans
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Development of several machine learning based models for determination of small molecule pharmaceutical solubility in binary solvents at different temperatures.

Scientific reports Aug 7, 2025
Analysis of small-molecule drug solubility in binary solvents at different temperatures was carried out via several machine learning models and integration of models to optimize. We investigated the solubility of rivaroxaban in both dichloromethane a...
Solubility Solvents Temperature Bayes Theorem Rivaroxaban Neural Networks, Computer Machine Learning Algorithms
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Developing an Equitable Machine Learning-Based Music Intervention for Older Adults At Risk for Alzheimer Disease: Protocol for Algorithm Development and Validation.

JMIR research protocols Aug 7, 2025
BACKGROUND: Given the high prevalence and cost of Alzheimer disease (AD), it is crucial to develop equitable interventions to address lifestyle factors associated with AD incidence (eg, depression). While lifestyle interventions show promise for redu...
Machine Learning Algorithms Humans Aged, 80 and over Female Rural Population Music Therapy Male Aged Alzheimer Disease Music
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