IEEE

AI-Based Automated Weed Detection System Using YOLOv5 and Mask R-CNN for Sustainable Agriculture

Abstract: Weeds are a big problem for farming, leading to lower crop yields and more use of herbicides and chemicals, affecting economic and environmental sustainability. AI algorithms, especially ...
IEEE

Advanced Teeth Instance Segmentation Using Contextual Spatial Attention and Deeper Mask Head

Abstract: Dental image analysis has advanced significantly with deep learning, yet achieving accurate teeth segmentation remains challenging, particularly with complex structures like adjacent or ...
IEEE

3D CT Liver Images Lesion Extraction and Classification for Using 3D-CNN with GLRLM

Abstract: The imaging technique known as computed tomography (CT) is often considered to be the most reliable way for non-invasive diagnosis. Through the use of three-dimensional (3D) computed ...
IEEE

Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Imagery Using Deep Learning Transformer and Convolutional Attention Networks

Abstract: Wildfires continue to occur every year, resulting in millions of acres of burned areas. This makes the task of mapping the burned areas arduous, and it is exacerbated by the fact that many ...
IEEE

Image Segmentation using Mask R-CNN for Tumor Detection from Medical Images

Abstract: One of the dreadful diseases that the world encounters today is brain tumor. When abnormal cells form in the brain, it is called a brain tumor. There are lot of variations in sizes and ...
IEEE

Single Image Dehazing Using Fuzzy Region Segmentation and Haze Density Decomposition

Abstract: Images captured under haze weather conditions usually suffer from visual quality degradations, such as blurred details, faded colors, and decreased saturation. Existing physics-based ...
IEEE

DAM-UNET: Dual Attention Module Based UNET for Lung Tumor Segmentation Using CT Scans

Abstract: The increasing incidence of lung cancer demands urgent attention from medical scientists. Advanced deep learning-based methods have demonstrated promising capabilities in detecting even ...
IEEE

KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity

Abstract: Limited labeled data could compromise the robustness of segmentation models trained on medical images. In medical imaging, manual segmentation is time-consuming and financially costly since ...
IEEE

Damaged Artwork Restoration Using Mask R-CNN and CA-GAN

Abstract: Art restoration plays a vital role in preserving cultural heritage and maintaining the beauty and history of damaged artwork. Traditional methods require experts, making the process ...
IEEE

Emotion Recognition from Speech Signals Using Hybrid CNN Model

Abstract: The fast growth of internet and communications networks has drastically enhanced data transport, allowing tasks like Speech Emotion Recognition (SER), an essential aspect of human-computer ...
Yahoo

Republicans Caught Using Fake Image to Lie About Portland “Riots”

President Donald Trump called Portland a war zone last week, and now state Republicans are trying to deliver one—by sharing fake photos of a fake riot. The official social media accounts of the Oregon ...