IEEE

Improved Transformer Network Based on Multiscale Grouping Feature Fusion for Hyperspectral Image Classification

Abstract: In recent years, hyperspectral image classification methods based on convolutional neural networks and Transformer architectures have achieved remarkable success. However, existing ...
IEEE

Cross-Domain Hyperspectral Image Classification via Mamba–CNN and Knowledge Distillation

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
IEEE

Novel Mask R-CNN Based Mushroom Cluster Tracking in Time-Lapse Images From a Farm Environment

Abstract: This study aims to develop a novel deep learningbased approach to support the automated mushroom growth monitoring using an object tracking algorithm in conjunction with instance ...
IEEE

A Novel CNN-Based Approach for Accurate Binary Classification of Diabetes Using Clinical Data

Abstract: Millions of individuals worldwide suffer from a chronic metabolic disease called diabetes. Conventional diagnos-tic techniques frequently depend on expert interpretation and clinical testing ...
IEEE

CNN-Based Plant Disease Classification: An Image Analysis Approach

Abstract: The agriculture industry faces significant challenges in maintaining sustainable plant growth while combating diseases that threaten crops. Traditional disease prevention methods rely on ...
IEEE

Bone Fracture Classification Using Deep Learning Models with Transfer Learning

Abstract: Bone fracture can be defined as the complete or partial disruption of the integrity of bone tissue. Early and accurate diagnosis of fractures plays a decisive role in the effectiveness of ...
IEEE

Sentence-based Sign Language Recognition using CNN and NLP

Abstract: This paper presents a comprehensive real-time sign language gesture recognition framework using a combination of Convolutional Neural Networks (CNNs) and Natural Language Processing (NLP).
IEEE

SwinCNN+OE: A Swin Transformer and CNN Architecture for Breast Histopathology Classification with OOD and Grad-CAM Integration

Abstract: This study aimed to design and evaluate a fusion deep learning architecture (SwinCNN + OE) for robust and interpretable breast cancer classification using histopathological images. The ...
IEEE

Global–Local Residual Fusion Network for Hyperspectral Image Classification

Abstract: As hyperspectral images (HSIs) continue to increase in data resolution and information richness, current deep learning models need to enhance their feature extraction and understanding ...
IEEE

Image Classification using Quantum Convolutional Neural Network (QCNN)

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
IEEE

FPGA-based Medical Image Processing Using Hardware-Software Co-design Approach

Abstract: This paper presents a field-programmable gate array (FPGA) based medical image processing framework using a hardware-software co-design approach for biomedical tasks such as Malaria and ...