AIMC Topic: Neural Networks, Computer

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Out-of-Distribution Detection via outlier exposure in federated learning.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2025
Among various out-of-distribution (OOD) detection methods in neural networks, outlier exposure (OE) using auxiliary data has shown to achieve practical performance. However, existing OE methods are typically assumed to run in a centralized manner, an...
Machine Learning Algorithms Humans Neural Networks, Computer Federated Learning
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Artificial Neural Network-Based Validation, DFT, Thermal and Biological Evaluation of 4-Aminoantipyrine-Derived Ru(III) Complexes.

Applied biochemistry and biotechnology Jan 17, 2025
New methodologies have been evaluated for validating analytical characterization with artificial neural networks (ANNs). Compared to previous machine learning models, these provide more accurate and automated results with high testing accuracy. The S...
Anti-Bacterial Agents Antineoplastic Agents Antifungal Agents Humans Neural Networks, Computer Ampyrone Density Functional Theory Coordination Complexes Ruthenium
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Development of a Deep Learning Tool to Support the Assessment of Thyroid Follicular Cell Hypertrophy in the Rat.

Toxicologic pathology Jan 17, 2025
Thyroid tissue is sensitive to the effects of endocrine disrupting substances, and this represents a significant health concern. Histopathological analysis of tissue sections of the rat thyroid gland remains the gold standard for the evaluation for a...
Neural Networks, Computer Animals Male Deep Learning Thyroid Gland Image Processing, Computer-Assisted Rats Hypertrophy
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The application of design of experiments and artificial neural networks in the evaluation of the impact of acidic conditions on cloud point extraction.

Journal of chromatography. A Jan 17, 2025
This study aimed to analyze the impact of acidic conditions on the recovery of ciprofloxacin and levofloxacin for cloud point extraction with the Design of Experiments and Artificial Neural Networks. The design included 27 experiments featuring three...
Reproducibility of Results Neural Networks, Computer Chemical Fractionation Polyethylene Glycols Ciprofloxacin Levofloxacin Temperature Chromatography, High Pressure Liquid Hydrogen-Ion Concentration Hydrochloric Acid Sodium Chloride
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Automatic segmentation of MRI images for brain radiotherapy planning using deep ensemble learning.

Biomedical physics & engineering express Jan 17, 2025
This study aimed to develop and evaluate an efficient method to automatically segment T1- and T2-weighted brain magnetic resonance imaging (MRI) images. We specifically compared the segmentation performance of individual convolutional neural network ...
Ensemble Learning Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy, Image-Guided Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging Brain Neoplasms Deep Learning Humans Neural Networks, Computer Algorithms
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Multidimensional free shape-morphing flexible neuromorphic devices with regulation at arbitrary points.

Nature communications Jan 17, 2025
Biological neural systems seamlessly integrate perception and action, a feat not efficiently replicated in current physically separated designs of neural-imitating electronics. This segregation hinders coordination and functionality within the neurom...
Silver Electronics Biomimetics Nanowires Neural Networks, Computer Animals Robotics
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An open source convolutional neural network to detect and localize distal radius fractures on plain radiographs.

European journal of trauma and emergency surgery : official publication of the European Trauma Society Jan 17, 2025
PURPOSE: Distal radius fractures (DRFs) are often initially assessed by junior doctors under time constraints, with limited supervision, risking significant consequences if missed. Convolutional Neural Networks (CNNs) can aid in diagnosing fractures....
Humans Neural Networks, Computer Trauma Centers Adult Wrist Injuries Male Wrist Fractures Middle Aged Convolutional Neural Networks Radiography Algorithms Radius Fractures Female Retrospective Studies Aged Aged, 80 and over
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Enhanced AMD detection in OCT images using GLCM texture features with Machine Learning and CNN methods.

Biomedical physics & engineering express Jan 17, 2025
Global blindness is substantially influenced by age-related macular degeneration (AMD). It significantly shortens people's lives and severely impairs their visual acuity. AMD is becoming more common, requiring improved diagnostic and prognostic metho...
Humans Neural Networks, Computer Retina Machine Learning Algorithms Macular Degeneration Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Tomography, Optical Coherence
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Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation.

PloS one Jan 17, 2025
CNN is considered an efficient tool in brain image segmentation. However, neonatal brain images require specific methods due to their nature and structural differences from adult brain images. Hence, it is necessary to determine the optimal structure...
Magnetic Resonance Imaging Infant, Newborn Convolutional Neural Networks Image Processing, Computer-Assisted Algorithms Brain Humans Neural Networks, Computer
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The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture.

PloS one Jan 17, 2025
This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm-Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. To achieve this, irrigation flow prediction in agricultural...
Neural Networks, Computer Artificial Intelligence Algorithms Agriculture Agricultural Irrigation
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