IEEE

Real Time Traffic Management System using Mask R-CNN and Dynamic Scheduling Algorithm

Abstract: Conventional manual, semi automated and timed traffic control systems are being replaced by more effective technology based systems. A low cost, real time, automated system is necessary for ...
IEEE

Hybrid Attention Driven CNN-Mamba Multimodal Fusion Network for Remote Sensing Image Semantic Segmentation

Abstract: In recent years, the increase of multimodal image data has offered a broader prospect for multimodal semantic segmentation. However, the data heterogeneity between different modalities make ...
Journal of Medical Internet Research

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
IEEE

Cutting-Edge Image Recognition Leveraging Deep Learning and Machine Learning for Enhanced Accuracy

Abstract: This paper investigates advanced techniques in image recognition and classification by integrating deep learning and machine learning approaches to achieve higher accuracy. Through the ...
IEEE

Real-Time Road Traffic Incident Management System Using CNN

Abstract: Millions of people die or are injured due to traffic accidents each year, where delayed responses to emergency situations are one of major causes of fatal incidents. To address the issue, ...
IEEE

Deep Learning for Aerial and Satellite Image Analysis: a CNN-Based Approach

Abstract: Applications like disaster management, urban planning, and environmental monitoring rely on satellite image categorization. This project develops a machine learning pipeline using ...
IEEE

A Multi-Resolution Hybrid CNN-Transformer Network With Scale-Guided Attention for Medical Image Segmentation

Abstract: Medical image segmentation remains a challenging task due to the intricate nature of anatomical structures and the wide range of target sizes. In this paper, we propose a novel U-shaped ...
IEEE

Asymmetric Mamba–CNN Collaborative Architecture for Large-Size Remote Sensing Image Semantic Segmentation

Large-size remote sensing images contain rich geographical information. Efficient and accurate semantic segmentation of these images is of significant importance in various fields. However, the ...
IEEE

A Verilog based Approach for Object Detection using CNN

Abstract: A Convolutional Neural Network (CNN) are a class of artificial neural networks specifically designed to process data with a grid-like topology, such as images, making them well-suited for ...
IEEE

Detection of Coffee Bean Defects on Conveyor Machines Using the Mask-RCNN Algorithm

Abstract: In the coffee industry, the quality of coffee beans directly affects market value and consumer acceptance. This study addresses the challenge of defect detection in coffee beans, which is ...
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 ...