IEEE

CNN-Transformer based Automated Neural Architecture Search for Ultrasonic Railway Track Defect Classification

Abstract: This paper introduces a novel Neural Architecture Search (NAS)-based framework for the automated detection of ultrasonic railway track defects. To facilitate model training, a ...
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 ...
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

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 ...
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 ...
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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

Semi-Supervised Triple-GAN with Similarity Constraint for Automatic Underground Object Classification Using Ground Penetrating Radar Data

Abstract: Automatic underground object classification based on deep learning has been widely used in ground penetrating radar (GPR) fields. However, its excellent performance heavily depends on ...
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

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

Adaptive SimSiam Self-Supervised Networks with Hybrid PIO for Hyperspectral Image Classification

Abstract: Hyperspectral imaging (HSI) provides rich spectral information across hundreds of bands, offering significant potential for fine-grained classification in remote sensing. However, the high ...