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

Enhancing Semi-Supervised Brain Tumor Segmentation via Dual-Uncertainty Guided 2.5-D CNN–Transformer and Voxel-Wise Contrastive Learning

Abstract: Data annotation in medical image segmentation is time-consuming and expensive. Semi-supervised learning (SSL) presents a viable solution. However, unlike organ segmentation, current ...
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

Data-Driven Solutions for Human Trafficking: Detection and Impact Analysis Using Machine Learning

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...
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 ...
IEEE

Learning Domain Generalized Remote Sensing Image Segmentation by Multiscale Instance Disentanglement

Abstract: Remote sensing image segmentation is a fundamental task in Earth observation. Rapid development has been made in the past decade owing to the deep learning techniques. Most of the existing ...
IEEE

Automated Optic Disc and Cup Segmentation Using Mask R-CNN for Glaucoma Assessment

Abstract: Glaucoma, a leading cause of irreversible blindness, requires precise segmentation of the optic disc and optic cup in fundus images for early diagnosis and progression monitoring. This study ...
IEEE

Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation

Abstract: The poultry industry has been driven primarily by broiler chicken production and has grown into the world’s largest animal protein sector. Automated detection of chicken carcasses on ...
IEEE

Memristor based Crossbar Array using CNN for Image Processing Applications

Abstract: Image processing has become one of the popular neuromorphic computing applications in recent years. Most of the application areas require an efficient and real time image processing system.
IEEE

A Consistent Navigation System Using CNN-LSTM Assisted by IMU Recomputed Method

Abstract: The integrated Global Navigation Satellite System (GNSS)/Inertial Navigation System (INS) system has been widely used in vehicular positioning and navigation. However, the complex ...
IEEE

Enhanced Pneumonia Diagnosis using Mask R-CNN and ResNet50-Based Deep Learning on Chest X-Rays

Abstract: This study proposes a robust and efficient two-stage deep learning framework aimed at the accurate classification of Chest X-ray images into NORMAL and PNEUMONIA categories. The methodology ...