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A hybrid convolutional neural network model to detect COVID‐19 and pneumonia using chest X‐ray images

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2 Published in 2022 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22829

Abstract: A hybrid convolutional neural network (CNN)‐based model is proposed in the article for accurate detection of COVID‐19, pneumonia, and normal patients using chest X‐ray images. The input images are first pre‐processed to tackle problems associated… read more here.

Keywords: neural network; covid pneumonia; hybrid convolutional; convolutional neural ... See more keywords

Sense and Avoid using Hybrid Convolutional and Recurrent Neural Networks

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1 Published in 2019 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2019.11.070

Abstract: Abstract This work develops a Sense and Avoid strategy based on a deep learning approach to be used by UAVs using only one electro-optical camera to sense the environment. Hybrid Convolutional and Recurrent Neural Networks… read more here.

Keywords: sense avoid; neural networks; convolutional recurrent; hybrid convolutional ... See more keywords

Handwritten-Digit Recognition by Hybrid Convolutional Neural Network based on HfO2 Memristive Spiking-Neuron

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0 Published in 2018 at "Scientific Reports"

DOI: 10.1038/s41598-018-30768-0

Abstract: Although there is a huge progress in complementary-metal-oxide-semiconductor (CMOS) technology, construction of an artificial neural network using CMOS technology to realize the functionality comparable with that of human cerebral cortex containing 1010–1011 neurons is still… read more here.

Keywords: neuron; memristor neuron; hybrid convolutional; convolutional neural ... See more keywords

HDA-Net: Hybrid Convolutional Neural Networks for Small Objects Recognization at Airports

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1 Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3219500

Abstract: Identifying small objects is essential in airport clearances, such as unmanned aerial vehicles (UAVs) and bird flocks, affecting the safety of the entire airport. Due to small objects and complex backgrounds, it is a formidable… read more here.

Keywords: neural networks; structure; hybrid convolutional; small object ... See more keywords

Continuous Scoring of Depression From EEG Signals via a Hybrid of Convolutional Neural Networks

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1 Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2022.3143162

Abstract: Depression score is traditionally determined by taking the Beck depression inventory (BDI) test, which is a qualitative questionnaire. Quantitative scoring of depression has also been achieved by analyzing and classifying pre-recorded electroencephalography (EEG) signals. Here,… read more here.

Keywords: scoring depression; hybrid convolutional; convolutional neural; eeg ... See more keywords

Intelligent recognition and integration of grapical helements into virtual surrounding within augmented reality using hybrid convolutional neural networks.

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2 Published in 2023 at "Artificial Intelligence"

DOI: 10.15407/jai2023.01.074

Abstract: In this paper analysis of modern augmented reality algorithms based on mobile devices was done. As a result, algorithmic shortcomings were identified and the usage of convolutional neural networks was proposed. Within the research the… read more here.

Keywords: neural networks; intelligent recognition; hybrid convolutional; convolutional neural ... See more keywords

HybridMouse: A Hybrid Convolutional-Recurrent Neural Network-Based Model for Identification of Mouse Ultrasonic Vocalizations

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1 Published in 2022 at "Frontiers in Behavioral Neuroscience"

DOI: 10.3389/fnbeh.2021.810590

Abstract: Mice use ultrasonic vocalizations (USVs) to convey a variety of socially relevant information. These vocalizations are affected by the sex, age, strain, and emotional state of the emitter and can thus be used to characterize… read more here.

Keywords: hybridmouse hybrid; hybrid convolutional; ultrasonic vocalizations; model ... See more keywords

Multiscale Hybrid Convolutional Deep Neural Networks with Channel Attention

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1 Published in 2022 at "Entropy"

DOI: 10.3390/e24091180

Abstract: Attention mechanisms can improve the performance of neural networks, but the recent attention networks bring a greater computational overhead while improving network performance. How to maintain model performance while reducing complexity is a hot research… read more here.

Keywords: neural networks; multiscale hybrid; hybrid convolutional; channel attention ... See more keywords