IEEE

Bridging the Style Gap: Style-Guided Distillation Domain Adaptation for Hyperspectral Image Classification

Abstract: Land cover in different hyperspectral images (HSIs) commonly exhibits style differences and similarities in the same category and distinct categories. However, most of the existing ...
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AWS activates Project Rainier: One of the world’s largest AI compute clusters comes online

The collaborative infrastructure innovation delivers nearly half a million Trainium2 chips in record time, with Anthropic scaling to more than one million chips by the end of 2025. Project Rainier, ...
IEEE

Hybrid CNN-LSTM Networks for Enhanced Lung Cancer Detection and Classification from CT Images

Abstract: In this paper, a hybrid deep learning model based on Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks are introduced for the automated detection of lung cancer ...
IEEE

Research on Surface Discharge Image Classification of High-Voltage Cables Based on ResNet Network

Abstract: This paper proposes an image classification method based on ResNet for detecting surface discharge faults in high-voltage cables. By collecting and labeling a dataset of high-voltage cable ...
IEEE

3D CT Liver Images Lesion Extraction and Classification for Using 3D-CNN with GLRLM

Abstract: The imaging technique known as computed tomography (CT) is often considered to be the most reliable way for non-invasive diagnosis. Through the use of three-dimensional (3D) computed ...
IEEE

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
IEEE

An Efficient Method for Heart and Lung Disease Classification Using Siasme-BiLSTM Model

Abstract: Systemic inflammation is a key factor in the development of chronic obstructive lung disease (COPD), heart failure (CHF), and cardiovascular disease (CAD). These three illnesses frequently ...
IEEE

Image Enhancement using GAN-based Augmentation in CNN Models for Classification Dyslexia Severity

Abstract: Dyslexia, a complex neurodevelopmental disorder, poses formidable challenges to individuals in acquiring proficient reading skills despite adequate instruction and cognitive abilities, with ...
IEEE

Deep Learning Based - Brain Stroke Detection System on CT Images using CNN and Federated Learning (CNN-FL)

Abstract: Brain Stroke is one of the leading causes of death and long-term disability worldwide, with early detection being crucial for successful intervention and treatment. The use of deep learning ...
IEEE

Generative Images of Microscopy Cell Arrangements Using AI Conditional Training

Abstract: Advances in artificial intelligence-driven techniques are poised to revolutionize our understanding of cellular biology. Synthetic imaging capabilities elevate the precision and efficiency ...
IEEE

Aerial Targets Classification Using Micro-Doppler Signatures

Abstract: In recent years, the growing use of small unmanned aerial vehicles (UAVs) has raised significant national security concerns, necessitating advanced surveillance systems capable of ...
IEEE

Enhanced ECG Classification using a Hybrid Signal Processing Framework

Abstract: Accurate Electrocardiogram (ECG) classification is crucial for real-time cardiac monitoring. This study integrates static and wavelet-based scattering transform features to classify four ...