AIMC Topic: Neural Networks, Computer

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ICN intrusion detection method based on GA-CNN.

PloS one Jun 3, 2025
The current industrial control system network is susceptible to data theft attacks such as SQL injection in practical applications, resulting in data loss or leakage of enterprise secrets. To solve the network intrusion problem faced by industrial co...
Computer Security Neural Networks, Computer Algorithms
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FIAN: A frequency information-adaptive network for spatial-frequency domain pansharpening.

PloS one Jun 3, 2025
Pansharpening aims to combine the spatial information from high-resolution panchromatic (PAN) images with the spectral information from low-resolution multispectral (LRMS) images generating high-resolution multispectral (HRMS) images. While Convoluti...
Neural Networks, Computer Humans Image Processing, Computer-Assisted Algorithms
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Artificial intelligence for early gastric cancer boundary recognition in NBI and nF-NBI endoscopic images.

Scandinavian journal of gastroenterology Jun 2, 2025
OBJECTIVES: Precise delineation of early gastric cancer (EGC) margins is essential for complete resection during endoscopic submucosal dissection. This study aimed to develop deep learning-based models for EGC boundary detection in narrow-band imagin...
Stomach Neoplasms Male Deep Learning Artificial Intelligence Female Humans Neural Networks, Computer Endoscopic Mucosal Resection Narrow Band Imaging Margins of Excision Early Detection of Cancer Gastroscopy
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Uncertainty Quantification and Temperature Scaling Calibration for Protein-RNA Binding Site Prediction.

Journal of chemical information and modeling Jun 2, 2025
The black-box nature of deep learning has increasingly drawn attention to the reliability and uncertainty of predictive models. Currently, several uncertainty quantification (UQ) methods have been proposed and successfully applied in the fields of mo...
Neural Networks, Computer RNA-Binding Proteins RNA Calibration Temperature Protein Binding Binding Sites Uncertainty
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Data Scaling and Generalization Insights for Medicinal Chemistry Deep Learning Models.

Journal of chemical information and modeling Jun 2, 2025
Predictive models hold considerable promise in enabling the faster discovery of safer, more efficacious therapeutics. To better understand and improve the performance of small-molecule predictive models for drug discovery, we conduct multiple experim...
Drug Discovery Humans Deep Learning Neural Networks, Computer Chemistry, Pharmaceutical
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Artificial Intelligence in Patch Testing: Comprehensive Review of Current Applications and Future Prospects in Dermatology.

JMIR dermatology Jun 2, 2025
BACKGROUND: The integration of artificial intelligence (AI) into patch testing for allergic contact dermatitis (ACD) holds the potential to standardize diagnoses, reduce interobserver variability, and improve overall diagnostic accuracy. However, the...
Humans Neural Networks, Computer Artificial Intelligence Patch Tests Dermatology Dermatitis, Allergic Contact
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Development of a neural network-based risk prediction model for mild cognitive impairment in older adults with functional disability.

BMC public health Jun 2, 2025
BACKGROUND: Mild Cognitive Impairment (MCI) is a critical transitional stage between normal aging and Alzheimer's disease, and its early identification is essential for delaying disease progression.
Cognitive Dysfunction Persons with Disabilities Longitudinal Studies Risk Assessment China Male Humans Risk Factors Middle Aged Neural Networks, Computer Aged Female Aged, 80 and over
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Computational approaches in drug chemistry leveraging python powered QSPR study of antimalaria compounds by using artificial neural networks.

Scientific reports Jun 2, 2025
The application of Machine Learning has become a revolutionary instrument in the domain of pharmaceutical research. Machine learning enables the modelling of Quantitative Structure Property Relationship, a crucial task in forecasting the physiochemic...
Humans Neural Networks, Computer Antimalarials Quantitative Structure-Activity Relationship Machine Learning Algorithms
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Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis.

Scientific reports Jun 2, 2025
Diabetes Mellitus is a chronic metabolic disorder affecting a substantial global population leading to complications such as retinopathy, nephropathy, neuropathy, foot problems, heart attacks, and strokes if left unchecked. Prompt detection and diagn...
Decision Trees Glycated Hemoglobin Middle Aged Diabetes Mellitus Neural Networks, Computer Female Humans Adult Aged Male
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Out-of-distribution reject option method for dataset shift problem in early disease onset prediction.

Scientific reports Jun 2, 2025
Machine learning is increasingly used to predict lifestyle-related disease onset using health and medical data. However, its predictive accuracy for use is often hindered by dataset shift, which refers to discrepancies in data distribution between th...
Dyslipidemias Datasets as Topic Hypertension Diabetes Mellitus Humans Neural Networks, Computer Female Male Machine Learning
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