IEEE

An SAGPSO-CNN Approach for Supervised Fault Classification in MVdc Shipboard Power Systems

Abstract: All-electric ships (AESs) utilizing medium-voltage dc (MVdc) shipboard power systems (SPSs) rely on a limited number of generators to supply power to propulsion units and onboard loads. To ...
IEEE

Text Classification Techniques: A Holistic Review, Observational Analysis, and Experimental Investigation

Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...
IEEE

Hybrid CNN-GCN Network for Hyperspectral Image Classification

Abstract: In recent years, convolutional neural networks (CNNs) have been impressive due to their excellent feature representation abilities, but it is difficult to learn long-distance spatial ...

Trump to sign order easing restrictions on marijuana this week, media reports say

U.S. President Donald Trump is expected to sign an executive order on Thursday reclassifying marijuana to ease federal ...
IEEE

Advanced CNN Architectures for Improved Garbage Image Classification: An In-depth Evaluation

Abstract: Convolutional Neural Networks (CNNs) have become instrumental in advancing image classification, particularly in the context of garbage image classification, a critical component for ...
IEEE

Hybrid CNN and Transformer-Based Sequential Learning Techniques for Plant Disease Classification

Abstract: Plant diseases have important consequences for livelihoods and economies, both on local and global scales, whereby the spread of plant pathogens can lead to high levels of damage to ...
IEEE

Music Genre Classification Using CNN and MobileNetV2

Abstract: This paper represents a significant advancement in the field of music genre classification and recommendation by harnessing the power of MobileNet’s transfer learning capabilities and custom ...
IEEE

AI-Driven Dermatology: CNN-RF Hybrid Model for Skin Lesion’s Disease Classification

Abstract: The spectrum of skin diseases, based on their nature, poses significant barriers to health that affect individuals internationally. Thus, basic procedures such as accurate and early ...
IEEE

Deep Learning for Lung Disease Classification Using Transfer Learning and a Customized CNN Architecture with Attention

Abstract: Many people die from lung-related diseases every year. X-ray is an effective way to test if one is diagnosed with a lung-related disease or not. This study concentrates on categorizing three ...
IEEE

Dysgraphia Handwriting Image Augmentation for CNN Model Classification

Abstract: Dysgraphia affects a person’s ability to write consistently and properly especially among school children. It is a challenging condition as it needs effective intervention to help the ...
IEEE

A Spatiotemporal Feature Extraction Technique Using Superlet-CNN Fusion for Improved Motor Imagery Classification

Abstract: In the realm of Brain-Computer Interface (BCI) research, the precise decoding of motor imagery electroencephalogram (MI-EEG) signals is pivotal for the realization of systems that can be ...
IEEE

Handwritten Text Recognition in Ancient Manuscripts Using Convolutional Neural Networks (CNN)

Abstract: Handwritten Text Recognition (HTR) in ancient manuscripts is a crucial task for preserving and analyzing historical records. Convolutional Neural Networks (CNN) offer a powerful approach to ...