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

Adapting a Segmentation Foundation Model for Medical Image Classification

Abstract: Recent advancements in foundation models, such as the Segment Anything Model (SAM), have shown strong performance in various vision tasks, particularly image segmentation, due to their ...
IEEE

Transformer-CNN Interactive Learned Image Compression for Resource-Deficient Industrial Visual Information Communication

Abstract: The application of image compression in industrial information systems has significantly enhanced data processing efficiency and emerged as a supportive technique for realizing Industry 4.0.
IEEE

Image Caption Generation using CNN and Transformers

Abstract: Image caption generation from the combination of computer vision with NLP is a critically important task for machines being able to describe images, and this project leverages the power of ...
IEEE

Data Acquisition and Fusion System Using 1-D CNN Network for Real-Time Bearing Fault Detection

Abstract: A classification system that utilizes the convolutional neural network (CNN) is established for real-time bearing fault detection. The system consists of acquiring the vibration signals ...
IEEE

WTC-HST: Wavelet Transform Convolutions and Hierarchical Spatial Transformers for Polarimetric SAR Image Classification

Abstract: Polarimetric synthetic aperture radar (PolSAR) image classification is an important task in remote sensing. However, due to its complex scattering mechanism and high-dimensional features, ...
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

Pothole detection on Roads using CNN for Autonomous vehicles

Abstract: Pothole is a large fissure while the vehicles are on the roadways. The potholes usually lead to underneath caverns and pits in the road to make it difficult to ride. If the vehicles are ...
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 ...
IEEE

Visual Malware Classification Using a CNN

Abstract: Malware classification m ethods a re o ften costly, requiring constant retraining and large amounts of computing power in order to support large models that analyze software in numerous ways ...
IEEE

SpectralDINO: Dual Mixture-of-Subspaces Low-Rank Adaptation for Cross-Domain Hyperspectral Image Few-Shot Classification

Abstract: Recently, few-shot learning (FSL)-based methods have achieved impressive results in cross-domain hyperspectral classification. However, existing approaches often ignore differences in ...