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Circuit design and image encryption of CNN chaotic system based on memristor
A new general-purpose voltage-controlled memristor with a fourth power term is designed in this paper. Based on this memristor, a new...
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Generalization ability of a CNN γ-ray localization model for radiation imaging
In γ-ray imaging, localization of the γ-ray interaction in the scintillator is critical. Convolutional neural network (CNN) techniques are highly...
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CNN framework for optical image super-resolution and fusion
This paper presents an algorithm for image super-resolution based on CNN. The objective is to work on medical images including images with tumors for...
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CNN: a tool to fuse multi-modality medical images
This paper is concerned with the topic of medical image fusion. Bothe Magnetic Resonance (MR) and Computed Tomography (CT) images are fused using...
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Research on EEG emotion recognition based on CNN+BiLSTM+self-attention model
To address the problems of insufficient dimensionality of electroencephalogram (EEG) feature extraction, the tendency to ignore the importance of...
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Forecast of Oil Content in Oilfield Wastewater by PLS and CNN Based on UV Transmittance Spectrum and Turbidity
Oil content plays an important role in oilfield wastewater treatment. To investigate the forecast of oil content by UV spectrophotometry, samples of...
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Enhanced Hyperspectral Image Classification Through Pretrained CNN Model for Robust Spatial Feature Extraction
Hyperspectral imaging is a crucial technology of remote sensing that captures hundreds of continuous spectral bands. In hyperspectral image (HSI)...
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Modified Mask R-CNN with KNN Algorithm Based Segmentation and Classification for Prediction of Brain Tumor Types
AbstractSeparation of diseased brain tissues from normal brain tissues is one of the most important tasks in any system for detecting brain tumors....
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Color image restoration using DSS-NL-map**-based multi-noiseNet CNN model
Image denoising faces significant challenges, arising from the sources of noise. Specifically, Gaussian, impulse, speckle noises, salt and pepper...
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Efficient classification of different medical image multimodalities based on simple CNN architecture and augmentation algorithms
Convolutional neural networks (CNN) are the best deep learning architecture to perform tumors classification for different imaging modalities: Us,...
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Research on recognition of O-MI based on CNN combined with SST and LSTM
Recognition algorithms have been widely used in brain computer interface (BCI) for neural paradigms classification. To improve the classification and...
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A novel model for hyper spectral image enhancement and classification: PCA, MBAO and CNN integration
Hyperspectral images (HSI) are contiguous band images commonly used in remote sensing applications. Over the past decades, significant advancements...
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Optical handwritten character recognition for Tamil language using CNN-VGG-16 model with RF classifier
In this world of modern data, it is so difficult to recognize handwritten characters for Tamil as many people have different styles of writing, so...
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Performance evaluation of mask R-CNN for lung segmentation using computed tomographic images
Image segmentation techniques based on machine learning are able to improve diagnostic and therapeutic accuracy by localizing target areas. The...
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Underwater optical wireless communication system: Deep learning CNN with NOMA-based performance analysis
This research is looking forward improving the performance for underwater optical wireless communication (UOWC) by applying a Non-orthogonal multiple...
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Geo-localization based on CNN feature matching
A geo-localization method is proposed for military and civilian applications, which is used when no global navigation satellite system (GNSS)...
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CNN-Based Deep Learning Model for Solar Wind Forecasting
This article implements a Convolutional Neural Network (CNN)-based deep-learning model for solar-wind prediction. Images from the Atmospheric Imaging...
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Modulation format recognition using CNN-based transfer learning models
Transfer learning (TL) appears to be a potential method for transferring information from general to specialized activities. Unfortunately,...
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Classification of System Variability Using a CNN
The nature of detected variability (whether the frequency is variable or stable) is decisive in binary systems. Dobrotka and Ness (Month Not R Astron...
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Polarization Image Fusion Algorithm Using NSCT and CNN
Fusion is beneficial to improve the accuracy of target detection in polarization images. In this paper, we propose an image fusion algorithm that...