GitHub

The ultimate dual-mode AI model management solution for Stable Diffusion

🎯 Effortlessly browse, download, and manage AI models from Civitai with intelligent dual-mode operation - works both as a WebUI extension and standalone application ...
IEEE

A Hybrid 3D CNN and Artificial Ecosystem-based Optimization (AEO) Model for Thyroid Nodule Detection

Abstract: Generally, doctors frequently require sophisticated diagnostic equipment to identify and do follow-up diagnoses on thyroid nodules. They spend a long time manually extracting features from ...
IEEE

Olfactory Prediction Using CNN-CBAM Model

Abstract: Olfactory perception prediction plays a vital role in multi-modal sensory research, offering insights for health monitoring and personalized experiences. In this work, we propose a novel CNN ...
The Manila Times

Minkang Zhang Improves Medical Image Recognition Through RNN Optimization and Deep Learning Integration

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...
IEEE

Optimized Blood Pressure Prediction With a Hybrid CNN–SVR Model Using Multiwavelength PPG

Abstract: Noninvasive vital sign monitoring, especially blood pressure (BP), is crucial for evaluating overall health and identifying early indicators of medical issues. Photoplethysmography (PPG) is ...
IEEE

Enhanced Lung Disease Classification Using CALMNet: A Hybrid CNN-LSTM-TimeDistributed Model for Respiratory Sound Analysis

Abstract: Lung diseases, such as asthma, pneumonia, and chronic obstructive pulmonary disease (COPD), pose considerable global health issues, making early diagnosis essential for effective treatment.
IEEE

Short-Term Photovoltaic Power Prediction Based on GWO-CNN-LSTM-MATT Hybrid Model

Abstract: This paper proposes a photovoltaic power prediction model based on GWO-CNN-LSTM-MATT. Firstly, the convolutional neural network (CNN) is used to extract the spatial features and local ...
IEEE

Research on Polarity-Linear Attention-Based CNN Models for Emotion Recognition

Abstract: This study proposes an improved CNN model incorporating Polar Linear Attention Mechanism for facial expression recognition tasks. Addressing the limitations of traditional CNNs in capturing ...
IEEE

A Python Programmed Resnet-50 CNN Designed for Low Light Image Enhancement

Abstract: Enhancing the quality of photos taken in low light is the goal of the computer vision problem known as Low-Light Image Enhancement. Increasing the brightness, clarity, and visual ...
IEEE

SDCnet: A Deep Learning Network Model for Road Segmentation Based on CNN and Transformer

Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
IEEE

Estimation of DOA of Low-altitude Moving Source Using 1D-CNN Based on a Single 3-axis Geophone

Abstract: Researches on estimating the direction of low-altitude moving sources using a 3-axis geophone have broad application prospects, such as security, development of low-altitude economy, and ...
IEEE

Lightweight Deep Learning Model for Breast Cancer Malignancy Prediction Using CNN on Embedded Edge Devices

Accurate diagnosis of breast cancer in a timely manner will be a key step to have the right treatment. This study suggests a minimalistic CNN architecture for malignancy prediction intended to be ...