AIMC Topic: Neural Networks, Computer

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Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI Sequences.

Journal of imaging informatics in medicine Aug 13, 2024
Segmentation of infarcts is clinically important in ischemic stroke management and prognostication. It is unclear what role the combination of DWI, ADC, and FLAIR MRI sequences provide for deep learning in infarct segmentation. Recent technologies in...
Diffusion Magnetic Resonance Imaging Middle Aged Deep Learning Stroke Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Female Aged Male Humans Neural Networks, Computer
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Ensemble of Deep Learning Architectures with Machine Learning for Pneumonia Classification Using Chest X-rays.

Journal of imaging informatics in medicine Aug 13, 2024
Pneumonia is a severe health concern, particularly for vulnerable groups, needing early and correct classification for optimal treatment. This study addresses the use of deep learning combined with machine learning classifiers (DLxMLCs) for pneumonia...
Neural Networks, Computer Machine Learning Deep Learning Humans Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Support Vector Machine Pneumonia
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A machine learning-based pipeline for multi-organ/tissue patient-specific radiation dosimetry in CT.

European radiology Aug 13, 2024
OBJECTIVES: To develop a machine learning-based pipeline for multi-organ/tissue personalized radiation dosimetry in CT.
Tomography, X-Ray Computed Female Humans Aged Neural Networks, Computer Machine Learning Radiation Dosage Retrospective Studies Male Monte Carlo Method Middle Aged Radiometry Adult
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Universal approximation theorem for vector- and hypercomplex-valued neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 13, 2024
The universal approximation theorem states that a neural network with one hidden layer can approximate continuous functions on compact sets with any desired precision. This theorem supports using neural networks for various applications, including re...
Neural Networks, Computer Algorithms
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Real-time monitoring of activated sludge flocs via enhanced mask region-based Convolutional Neural networks.

Environmental research Aug 13, 2024
The functionality of activated sludge in wastewater treatment processes depends largely on the structural and microbial composition of its flocs, which are complex assemblages of microorganisms and their secretions. However, monitoring these flocs in...
Algorithms Sewage Environmental Monitoring Waste Disposal, Fluid Neural Networks, Computer Flocculation Wastewater
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Bayesian learning of feature spaces for multitask regression.

Neural networks : the official journal of the International Neural Network Society Aug 13, 2024
This paper introduces a novel approach to learn multi-task regression models with constrained architecture complexity. The proposed model, named RFF-BLR, consists of a randomised feedforward neural network with two fundamental characteristics: a sing...
Machine Learning Algorithms Regression Analysis Humans Neural Networks, Computer Bayes Theorem Nonlinear Dynamics
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FLAT: Fusing layer representations for more efficient transfer learning in NLP.

Neural networks : the official journal of the International Neural Network Society Aug 13, 2024
Parameter efficient transfer learning (PETL) methods provide an efficient alternative for fine-tuning. However, typical PETL methods inject the same structures to all Pre-trained Language Model (PLM) layers and only use the final hidden states for do...
Humans Deep Learning Neural Networks, Computer Natural Language Processing Machine Learning Algorithms Transfer, Psychology Language
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Artificial neural networks as a tool for seasonal forecast of attack intensity of Spodoptera spp. in Bt soybean.

International journal of biometeorology Aug 13, 2024
Soybean (Glycine max) is the world's most cultivated legume; currently, most of its varieties are Bt. Spodoptera spp. (Lepidoptera: Noctuidae) are important pests of soybean. An artificial neural network (ANN) is an artificial intelligence tool that ...
Neural Networks, Computer Glycine max Plants, Genetically Modified Spodoptera Larva Forecasting Weather Animals Seasons
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LSPR-susceptible metasurface platform for spectrometer-less and AI-empowered diagnostic biomolecule detection.

Analytica chimica acta Aug 13, 2024
In response to the growing demand for biomolecular diagnostics, metasurface (MS) platforms based on high-Q resonators have demonstrated their capability to detect analytes with smart data processing and image analysis technologies. However, high-Q re...
Metal Nanoparticles Artificial Intelligence Humans Immunoassay Surface Plasmon Resonance Neural Networks, Computer Biosensing Techniques Gold
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Spatial source, simulating improvement, and short-term health effect of high PM exposure during mutation event in the key urban agglomeration regions in China.

Environmental pollution (Barking, Essex : 1987) Aug 13, 2024
Air quality in China has significantly improved owing to the effective implementation of pollution control measures. However, mutation events caused by short-term spikes in PM in urban agglomeration regions continue to occur frequently. Identifying t...
Humans Neural Networks, Computer Cities Environmental Monitoring China Particulate Matter Air Pollutants Environmental Exposure Air Pollution
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