IEEE

Classification of Eye Diseases Using CNN on Fundus Images

Abstract: Eye diseases represent a critical global health concern, affecting approximately 2.2 billion individuals with visual impairments or blindness and underscoring the urgent need for accessible ...
IEEE

Depthwise Convolution with Winograd Algorithm for Efficient CNN Acceleration

This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...
IEEE

Exploring Color Features with Nasnet CNN and Improved Water Cycle Algorithm for Product Emotional Design

Abstract: This research investigates the multidimensional domain of color image optimization design for emotional product color design, in this case, tricolor product color schemes. By introducing ...
IEEE

Deep Parallel CNN and LSTM for Enhanced Breast Cancer Classification

Abstract: Breast cancer is a leading cause of mortality among women, necessitating early detection for effective treatment. Accurate classification remains challenging due to the limited ability of ...
IEEE

Research on the Precision Compensation of Light-Quantum Flowmeter With CPO–PSO–CNN Algorithm

Abstract: In the petroleum industry, light-quantum flowmeters can perform multiphase measurement of gas, liquid, and solid phases, which has attracted significant attention. However, their measurement ...
IEEE

Dynamic AI Tissue Analysis For Enhanced Medical Diagnosis using TSDM

Abstract: The aim of the study is to propose TSDM-Net, a model that enhances tissue analysis accuracy through adaptation to various tissue types, and compare its performance with conventional CNN ...
IEEE

Investigating SAR Data Denoising: A Comparative Analysis of CNN Models with Multi-Channel Signal Processing Features

Abstract: This paper investigates the necessity for denoising in Synthetic Aperture Radar (SAR) dataset, emphasizing the comparison of three distinct neural networks: U-Net, ResNet, and DeepDeblur.
IEEE

A Hybrid Technique based on Fusion of Bat Algorithm (BA) - Grey Wolf Optimizer (GWO) - Deep CNN for Classification of Military Ground Vehicles in SAR Aerial Imagery

Abstract: This paper proposes a novel hybrid classification model obtained by fusion of two Swarm Intelligence techniques (Bat Algorithms (BA) and Grey Wolf Optimizer (GWO)) with a Deep Convolutional ...
IEEE

Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm

Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...
IEEE

CNN-LSTM for Dynamic Gesture Recognition in Hand Electrostatic Signal Processing

Abstract: As a ubiquitous interaction modality in daily life, hand gestures convey rich interactive information. Particularly under the evolving paradigm of Natural User Interface (NUI), gesture ...
IEEE

Deep Learning-Based Dermatological Disease Detection Using CNN and Image Processing

Abstract: Skin diseases have become more and more common in humans in recent years. Conditions like ringworm, yeast infections, and allergies are often caused by infection or germs. As infections ...
IEEE

Pattern Recognition of GIS Partial Discharge Optical Signal Based on GWO-CNN Algorithm

Abstract: During the manufacturing, transportation, and assembly processes of Gas Insulated Switchgear (GIS), internal insulation defects can lead to partial discharge (PD), posing risks to ...