Image Classification Project in Python Using CNN

Hyper-LKCNet: Exploring the Utilization of Large Kernel Convolution for Hyperspectral Image Classification

Abstract: Recently, transformers have garnered significant attention due to their exceptional capability to capture long-range dependencies in data. A critical factor contributing to their superior ...

IEEE

An Explainable Approach to Land-Use Classification Using CNN-LSTM and LIME

Abstract: The evolution of landscapes has opened the opportunity to utilize previously unused land for various purposes, such as agriculture and urban development. This approach promotes sustainable ...

IEEE

Vehicle Classification in Motorized Traffic Analysis Using CNN

Abstract: Over the recent decade, the auto-influx pressure on existing infrastructure and traffic management systems has been substantial. There are over a billion active vehicles worldwide, and in ...

IEEE

Shallow Convolutional Neural Network for Defect Classification in Composite Materials Using Terahertz Images

Abstract: Terahertz (THz) imaging has emerged as a highly promising technique for nondestructive testing (NDT), particularly for more advanced composite materials that are widely used in aerospace, ...

IEEE

AI-Driven Solutions for Automated Fish Freshness Classification Using CNN Architectures

Abstract: Ensuring fish freshness is essential for market value, consumer health, and seafood quality. In Sri Lanka, traditional sensory-based methods for assessing freshness are subjective and often ...

IEEE

A CNN-Transformer Approach for Image-Text Multimodal Classification with Cross-Modal Feature Fusion

Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...

IEEE

Deep Learning for Skin Cancer Detection: Multi-Class Lesion Classification Using CNN Architecture

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...

IEEE

Multilevel Multimodal CNN–Transformer Fusion Network for Land Use and Land Cover Classification

Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...

IEEE

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...

The Business Journals

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Hyper-LKCNet: Exploring the Utilization of Large Kernel Convolution for Hyperspectral Image Classification

An Explainable Approach to Land-Use Classification Using CNN-LSTM and LIME

Vehicle Classification in Motorized Traffic Analysis Using CNN

Shallow Convolutional Neural Network for Defect Classification in Composite Materials Using Terahertz Images

AI-Driven Solutions for Automated Fish Freshness Classification Using CNN Architectures

A CNN-Transformer Approach for Image-Text Multimodal Classification with Cross-Modal Feature Fusion

Deep Learning for Skin Cancer Detection: Multi-Class Lesion Classification Using CNN Architecture

Multilevel Multimodal CNN–Transformer Fusion Network for Land Use and Land Cover Classification

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Dublin's Bridge Street District set to expand with massive mixed-use development

A Lightweight Spatial–Spectral Deformable CNN for UAV Hyperspectral Image Classification

An Interpretable Brain Tumour Classification Approach using Machine Learning and CNN-based features