AIMC Topic: Algorithms

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Temporal user interest modeling for online advertising using Bi-LSTM network improved by an updated version of Parrot Optimizer.

Scientific reports May 29, 2025
In the era of digitization, online digital advertising is one of the best techniques for modern marketing. This makes advertisers rely heavily on accurate user interest and behavior modelling to deliver precise advertisement impressions and increase ...
Internet Marketing Advertising Humans Algorithms Computer Simulation
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Bioinformatics prediction of function of T-cell exhaustion related genes in ischemic stroke.

Scientific reports May 29, 2025
Ischemic stroke (IS) is a multifactorial disease caused by the interaction of a variety of environmental and genetic factors, which can lead to severe disability and heavy social burden. This study aimed to find potential biomarkers related to T cell...
Gene Expression Profiling Gene Regulatory Networks Computational Biology Biomarkers T-Lymphocytes Databases, Genetic Ischemic Stroke T-Cell Exhaustion Humans Machine Learning Algorithms
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees.

Scientific reports May 29, 2025
Due to imbalanced data values and high-dimensional features of lung cancer from CT scans images creates significant challenges in clinical research. The improper classification of these images leads towards higher complexity in classification process...
Humans Machine Learning Algorithms Tomography, X-Ray Computed Lung Neoplasms Image Processing, Computer-Assisted Decision Trees
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An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution.

Scientific reports May 29, 2025
High-quality whole-slide scanning is expensive, complex, and time-consuming, thus limiting the acquisition and utilization of high-resolution histopathology images in daily clinical work. Deep learning-based single-image super-resolution (SISR) techn...
Neural Networks, Computer Algorithms Deep Learning Humans Image Processing, Computer-Assisted Lung Neoplasms
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Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms.

PloS one May 29, 2025
Breast cancer is a significant health issue for women, characterized by its high rates of mortality and sickness. However, its early detection is crucial for improving patient outcomes. Thermography, which measures temperature variations between heal...
Female Breast Neoplasms Diagnosis, Computer-Assisted Neural Networks, Computer Nonlinear Dynamics Humans Support Vector Machine Machine Learning Thermography Algorithms Early Detection of Cancer Fractals Breast
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Evaluating anti-VEGF responses in diabetic macular edema: A systematic review with AI-powered treatment insights.

Indian journal of ophthalmology May 28, 2025
Recent advances in deep learning and machine learning have greatly increased the capabilities of extracting features for evaluating the response to anti VEGF treatment in patients with Diabetic Macular Edema (DME). In this review, we explore how thes...
Vascular Endothelial Growth Factor A Intravitreal Injections Machine Learning Humans Visual Acuity Algorithms Diabetic Retinopathy Angiogenesis Inhibitors Tomography, Optical Coherence Macular Edema
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Ecofriendly Extraction of Polyphenols from Leaves Coupled with Response Surface Methodology and Artificial Neural Network-Genetic Algorithm.

Molecules (Basel, Switzerland) May 28, 2025
This study aimed to optimize a novel deep eutectic solvents (DESs)-assisted extraction process for polyphenols in the leaves of (AGPL) with response surface methodology (RSM) and a genetic algorithm-artificial neural network (GA-ANN). Under the infl...
Plant Leaves Antioxidants Genetic Algorithms Chromatography, High Pressure Liquid Plant Extracts Neural Networks, Computer Solvents Polyphenols Algorithms
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Personalized prediction of gait freezing using dynamic mode decomposition.

Scientific reports May 28, 2025
Freezing of gait (FoG) is a common severe gait disorder in patients with advanced Parkinson's disease. The ability to predict the onset of FoG episodes early on allows for timely intervention, which is essential for improving the life quality of pati...
Aged Male Deep Learning Algorithms Female Humans Machine Learning Parkinson Disease Gait Gait Disorders, Neurologic
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Improving ACS prediction in T2DM patients by addressing false records in electronic medical records using propensity score.

Scientific reports May 28, 2025
Our study aims to improve the prediction performance of machine learning (ML) models by addressing false records (i.e., false positive, false negative, or missingness) in binary categorical variables in electronic medical records (EMRs) using propens...
Humans Middle Aged Machine Learning Comorbidity Female Algorithms Propensity Score Diabetes Mellitus, Type 2 Aged Electronic Health Records Male Republic of Korea
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An automatic approach for the classification of lumpy skin disease in cattle.

Tropical animal health and production May 28, 2025
Lumpy Skin Disease (LSD) presents significant risks and economic challenges to global cattle farming. Effective and accurate classification of LSD is essential for managing the disease and reducing its impacts. Manual diagnosis is time-consuming, lab...
Machine Learning Algorithms Lumpy Skin Disease Animals Cattle Support Vector Machine
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