IEEE

Anti-Spoofing and Mask-Supported Face Authentication using mmWave without On-site Registration

Abstract: Face authentication (FA) schemes are universally adopted. However, current FA systems are mainly camera-based and susceptible to masks and vulnerable to spoofing attacks. This paper exploits ...
IEEE

Towards Accurate Renal Micro-Structure Segmentation: An Assessment of YOLOv8 and Mask R-CNN Models

Abstract: In the field of medical imaging, correct instance segmentation is essential. This work attempts to address the problems related to renal micro-structure segmentation by using the power of ...
IEEE

Mask Optimization for Image Inpainting Using No-Reference Image Quality Assessment

Abstract: Image inpainting is a technique designed to remove unwanted regions from images and restore them. This technique is expected to be applied in various applications, including image editing, ...
IEEE

Multi-beam Beamforming in RIS-aided MIMO Subject to Reradiation Mask Constraints – Optimization and Machine Learning Design

Abstract: Reconfigurable intelligent surfaces (RISs) are an emerging technology for improving spectral efficiency and reducing power consumption in future wireless systems. This paper investigates the ...
IEEE

LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
IEEE

Deep Learning-Based Malaria Detection: A Robust CNN Framework for Accurate and Automated Diagnosis

Abstract: This research suggests a strong framework for automated malaria detection using a Convolutional Neural Network (CNN) model. The dataset, sourced from Kaggle, consists of 27,558 ...
IEEE

CLME: Robust Screen-Shooting Watermarking With Contrastive Learning and Mask-Guided Embedding

Abstract: Screen-shooting watermarking technology plays a critical role in copyright protection and traceability. However, existing methods often lack sufficient robustness under strong noise ...
IEEE

Latest Trends in Face Recognition using CNN

Abstract: Face Recognition is a computer vision technology that identifies or verifies a person’s identity using a person’s facial features. It is widely used in different fields like security, ...
IEEE

SegMamba-V2: Long-range Sequential Modeling Mamba For General 3D Medical Image Segmentation

Abstract: The Transformer architecture has demonstrated remarkable results in 3D medical image segmentation due to its capability of modeling global relationships. However, it poses a significant ...
IEEE

Eggplant Size Acquisition using Mask R-CNN

Abstract: Eggplant (Solanum melongena L.) is a widely cultivated vegetable in the Philippines, where accurate size grading plays a crucial role in determining market ...
GitHub

Mask R-CNN Instance Segmentation with OpenCV

This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.
IEEE

Machine Learning-based Customer Segmentation with Optimal Cluster Selection

In Algorithms for Machine Learning Before applying modern clustering algorithms, data was analyzed using rulebased grouping, eye scanning, manual computation of distances, and hierarchical sorting, ...