AIMC Topic: Neural Networks, Computer

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Comparative machine learning strategies for improving antioxidant properties and aroma quality in fermented mung bean milkby Lactobacillus plantarum PC4.

International journal of food microbiology Sep 12, 2025
This study compares least squares support vector machine (LSSVM) and artificial neural network (ANN) models, integrated with the NSGA-II algorithm, to optimize the fermentation of mung bean milk by Lactobacillus plantarum PC4. Given its superior pred...
Support Vector Machine Food Microbiology Lactobacillus plantarum Machine Learning Antioxidants Fermented Foods Volatile Organic Compounds Vigna Odorants Fermentation Gas Chromatography-Mass Spectrometry Neural Networks, Computer
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Dynamic forecasting of beef freshness using multi-step time series analysis of electronic nose signals.

Biosensors & bioelectronics Sep 12, 2025
The preservation of microbial quality in meat products represents a fundamental challenge in contemporary food supply chain management due to the highly perishable nature of these commodities. Although modern testing techniques, particularly electron...
Animals Cattle Biosensing Techniques Neural Networks, Computer Forecasting Electronic Nose Food Microbiology Red Meat
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FAC-Z analysis of edible oils: The application of electrochemical impedance (Z) spectroscopy for supervised machine learning-based prediction of fatty acid composition (FAC) in edible oils.

Food chemistry Sep 12, 2025
The primary fatty acid makeup of a comprehensive set of edible oils was ascertained using an electrochemical impedance spectroscopic approach. The electrical signatures of edible oils (i.e impedance spectra) were recorded and a neural network was use...
Supervised Machine Learning Fatty Acids Dielectric Spectroscopy Gas Chromatography-Mass Spectrometry Neural Networks, Computer Plant Oils
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Genetic algorithm-optimized neural network outperforms TNM staging in predicting rapidly progressive nasopharyngeal carcinoma: Reassessing adjuvant chemotherapy benefit via propensity score matching.

European journal of cancer (Oxford, England : 1990) Sep 12, 2025
PURPOSE: To establish machine learning-based predictive models for rapidly progressive nasopharyngeal carcinoma (RP-NPC), defined as disease progression within 24 months post-initial treatment, and to assess differential survival benefits of adjuvant...
Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Genetic Algorithms Chemoradiotherapy Chemotherapy, Adjuvant Male Middle Aged Neoplasm Staging Propensity Score Disease Progression Aged Young Adult Adult Retrospective Studies Female Humans Machine Learning Neural Networks, Computer Algorithms
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Multi-objective optimization of printer control parameters for 3D printing of millet dough.

Journal of the science of food and agriculture Sep 11, 2025
BACKGROUND: Three-dimensional (3D) food printing enables precise customization and intricate shapes of food materials. The influence of printer control parameters on the printing performance of millet-based dough is still underexplored. OBJECTIVE: Th...
Millets Flour Neural Networks, Computer Printing, Three-Dimensional Food Handling
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A Machine Learning-Driven Cyclic Optimizing Strategy for the Construction of Paper-Based Microfluidic Devices in the Early Diagnosis of Periodontitis.

ACS sensors Sep 11, 2025
The lack of effective optimization strategies hinders the optimal performance of paper-based microfluidic analytical devices (μPADs). In this work, a Machine Learning-driven Computer vision-BP Neural Networks-Genetic Algorithm-based Cyclic Optimizing...
Periodontitis Limit of Detection Saliva Hemoglobins Paper Neural Networks, Computer Machine Learning Colorimetry Humans Early Diagnosis Lab-On-A-Chip Devices
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Transferable Neural Network Potentials and Condensed Phase Properties.

Journal of chemical information and modeling Sep 11, 2025
Transferable neural network potentials (NNP) are undergoing rapid development. Many practical applications of NNPs focus on single molecules; e.g., using NNPs as a fast replacement for quantum chemical methods for dihedral angle scans in force field ...
Neural Networks, Computer Solvents
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Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data.

ACS sensors Sep 10, 2025
In recent AI-driven disease diagnosis, the success of models has depended mainly on extensive data sets and advanced algorithms. However, creating traditional data sets for rare or emerging diseases presents significant challenges. To address this is...
Algorithms Mobile Applications Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted
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Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network.

Journal of chemical theory and computation Sep 10, 2025
Coarse-grained (CG) lipid models enable efficient simulations of large-scale membrane events. However, achieving both speed and atomic-level accuracy remains challenging. Graph neural networks (GNNs) trained on all-atom (AA) simulations can serve as ...
Neural Networks, Computer Lipids Lipid Bilayers Graph Neural Networks Molecular Dynamics Simulation
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Automatic infant 2D pose estimation from videos: Comparing seven deep neural network methods.

Behavior research methods Sep 10, 2025
Automatic markerless estimation of infant posture and motion from ordinary videos carries great potential for movement studies "in the wild", facilitating understanding of motor development and massively increasing the chances of early diagnosis of d...
Posture Deep Learning Video Recording Humans Reproducibility of Results Neural Networks, Computer Image Processing, Computer-Assisted Infant
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