IEEE

Retinal Fundus Image Classification Using Generative Adversarial Networks

Abstract: This study presents an innovative method for classifying retinal fundus images using a novel combination of Generative Adversarial Networks (GANs) and Inception V3. This unique method has ...
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

Smart Agriculture: A CNN-Based Approach for Crop Disease Classification and Detection

Abstract: Agriculture is the backbone of every nation's economy. With the global population steadily increasing, meeting the rising demand for food has become a major challenge. In India, crop ...
KXII

Activists project images of Trump and Epstein onto Windsor Castle during president’s UK visit

(CNN) – Authorities in the United Kingdom have arrested four people after they allegedly projected images of President Donald Trump and Jeffrey Epstein on the walls of Windsor Castle. The Thames ...
Hosted on MSN

$540M Sachs on the Seawall mixed-use project in Galveston advances to planning commission

It will include a Marriott Renaissance hotel, 2 condo towers, office, restaurant and retail space, and four acres of green space and nature preserve. The manhunt in Charlie Kirk’s killing ended with ...
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

S2DBFT: Spectral–Spatial Dual-Branch Fusion Transformer for Hyperspectral Image Classification

Abstract: Convolutional neural network (CNN)- and Transformer-based models have achieved remarkable success in hyperspectral image (HSI) classification tasks due to their outstanding ability to ...
IEEE

IoT-Enabled Real Time Air Quality Monitoring Using Hybrid CNN-RNN with Attention Mechanism

Abstract: Monitoring the environment, particularly air quality, is vital for protecting public health, ensuring safety, and effectively reducing pollution levels. However, using physical models often ...
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

Towards Automated Classification of Adult Attachment Interviews in German Language Using the BERT Language Model

Abstract: Attachment theory, pioneered by John Bowlby, has become a prominent psychological framework that aids in our comprehension of human behavior within close relationships. The Adult Attachment ...
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 ...
IEEE

CNN-Enhanced Hypergraph Attention Network for Hyperspectral Image Classification

Abstract: Recently, graph neural networks (GNNs) have attracted great attention and achieved outstanding success in hyperspectral image (HSI) classification. However, most existing methods rely on ...