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

Impact of Image Augmentation Techniques on CNN-Based Lemongrass Leaf Classification

Abstract: This study investigates the impact of image augmentation techniques on the performance of Convolutional Neural Networks (CNNs) for classifying lemongrass leaves into three categories: ...
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

Optimisation of Attentional EEG Signal Classification Model Based on Attentional Mechanism of CNN-LSTM Algorithm

Abstract: Deep learning has been widely applied to EEG signal classification in recent years, and this study aims to optimise and validate the effectiveness and performance advantages of an EEG signal ...
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 ...
TWCN Tech News

Use Pixverse to create Video from generated Image

The first step is to generate an image. You can use any tool to generate an image. I have used Meta AI and Google AI Studio. I generated two images using the simple prompts written below: A dog riding ...
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 ...
IEEE

Comparative Analysis of SVM and CNN Classifiers for EEG Signal Classification in Response to Different Auditory Stimuli

Abstract: This study aims to classify brainwave patterns using electroencephalogram (EEG) signals in response to various auditory stimuli, specifically Quran recitation, participants’ favorite music, ...
IEEE

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

Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
Hosted on MSN

USF moves forward with plans for new mixed-use project at former golf course site

USF Board of Trustees voted to approve plans for a mixed-use project called the Fletcher District. Plans include housing, a hotel, retail space and restaurants. Dog spends days digging large hole, ...
IEEE

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

Abstract: Cancer, a disease that does not discriminate; impacting people from all walks of life. Numerous types of cancer affect humans, each with distinct characteristics and treatment approaches.
IEEE

Multi-Scale Feature Extraction for ECG Beat Classification Using a CNN-Transformer Network with Imbalance Mitigation

Abstract: Deep learning models have become popular for classifying electrocardiogram (ECG) heartbeats, yet traditional Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have ...