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CNET22h
Do You Really Learn When You Use AI? What MIT Researchers Found
The LLM group showed "weaker memory traces, reduced self-monitoring and fragmented authorship," the study authors wrote. That ...
IEEE2d
Enhancing Healthcare Image Record Security via CNN-based Tamper Detection, Watermarking, and Digital Signatures - IEEE Xplore
Computers have been seamlessly integrated into every domain including health care where one of its applications is in the storage of health care records such as medical images. Electronic healtheare ...
IEEE2d
Review of Image Semantic Segmentation Research Based on Deep Learning - IEEE Xplore
Image semantic segmentation based on deep learning has made great progress in recent years. This paper summarizes the application and development of convolutional neural network (CNN), full ...
IEEE3d
Quaternion CNN With Salient Features for Color Image Denoising
Deep convolutional neural networks have significantly advanced color image denoising. However, existing models often apply grayscale denoising techniques to color images without accounting for ...
IEEE4d
BEFNet: A Hybrid CNN-Mamba Architecture for Accurate Skin Lesion Image Segmentation - IEEE Xplore
Accurate image segmentation of skin lesions is crucial for the detection and treatment of skin cancer. Based on the modern state space model Mamba, a novel hybrid CNN-Mamba network (BEFNet) is ...
IEEE4d
CIMUS: 3D-Stacked Computing-in-Memory Under Image Sensor Architecture for Efficient Machine Vision - IEEE Xplore
Computational image sensors with CNN processing capabilities are emerging to alleviate the energy-intensive and time-consuming data movement between sensors and external processors. However, deploying ...
IEEE5d
CTCNet: A CNN-Transformer Dual Branch Network for Sand Dune Image Segmentation - IEEE Xplore
Dune images typically display intricate details and relatively uniform spectral characteristics, making them a unique challenge for image segmentation tasks. Due to the limitations of traditional ...
IEEE5d
Impact of Colour Image and Skeleton Plotting on Sign Language Recognition Using Convolutional Neural Networks (CNN) - IEEE Xplore
The significance of sign language lies in its role in communicating and expressing the views of the deaf and hard-of-hearing community. In a world where verbal communication is one of the highest ...
IEEE6d
Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution - IEEE Xplore
Hyperspectral image (HSI) super-resolution without additional auxiliary image remains a constant challenge due to its high-dimensional spectral patterns, where learning an effective spatial and ...
IEEE7d
Mask R-CNN: Detection Performance on SPEED Spacecraft With Image Degradation - IEEE Xplore
Some of our main findings include that supplementing training on degraded images improve significantly the detection results. In low degradation scenarios, the improvement is better than the baseline ...
IEEE7d
Deep Learning-Based Classification of Areca Nut Yellow Leaf Disease with ResNet-50 CNN - IEEE Xplore
Detecting healthy arecanut leaves, yellow leaf disease in arecanut, and differentiating these from other types of leaves using deep learning involves designing an advanced neural network model for ...
IEEE7d
Research on Medical Image Classification Based on Machine Learning - IEEE Xplore
In this paper, we propose a new method for CT pathological image analysis of brain and chest to extract image features and classify images. Because the deep neural network needs a large number of ...