IEEE

A Reliable Estimation of Solar Energy Prediction Through the use of Hybrid CNN-LSTM Algorithm

Abstract: The unpredictability of solar resources increases the difficulty of grid management as solar dispersion rates rise. Because renewable energy sources provide electricity in unpredictable and ...
IEEE

Lightweight Dental Lesion Segmentation Algorithm Based on Transformer and CNN

Abstract: In the application scenario of automatic segmentation diagnosis for dental lesions, the focus of semantic segmentation tasks lies in how to design a lightweight segmentation network enabling ...
IEEE

Harmonic Emission Level Estimation Method Based on CNN-LSTM Algorithm

Abstract: In order to realize the effective prediction of harmonic emission level in power system, a harmonic emission level estimation method based on CNN-LSTM algorithm is proposed. The harmonic ...
IEEE

Utility-Driven Data Analytics Algorithm for Transaction Modifications Using Pre-Large Concept With Single Database Scan

Abstract: Utility-driven pattern analysis is a fundamental method for analyzing noteworthy patterns with high utility for diverse quantitative transactional databases. Recently, various approaches ...
IEEE

Optimized Quantum CNN With Improvised iHow Algorithm for MRI-Based Dementia Diagnosis

Abstract: Dementia, a neurodegenerative disorder, requires early prediction and effective diagnosis for providing better treatment to avert the loss. The detection and classification of disease is ...
IEEE

Research on ice thickness prediction of power transmission lines based on SO-CNN-LSTM algorithm

One of the fundamental requirements for the operation of power systems is safety and stability. However, in recent years, natural disasters such as rain, snow, and freezing weather have posed a ...
IEEE

Enhanced Sugarcane Leaf Disease Detection via Hybrid Deep Capsule Autoencoder CNN Optimized by Improved Whale Algorithm

Abstract: This research uses a Hybrid Deep Capsule Autoencoder-based Convolutional Neural Network and an Improved Whale Optimization (IWO) model to classify sugarcane leaf diseases. It starts with ...
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

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

Short-Term Power Load Forecasting Based on CNN-BiLSTM Optimized by Snow Ablation Algorithm

Abstract: To enhance the accuracy of short-term power load forecasting, this paper proposes a hybrid prediction model based on the Snow Ablation Optimization (SAO) algorithm, integrating Convolutional ...
IEEE

Impact Analysis of Feature Parameter Selection on CNN-Based Fault Detection Algorithms in LCC HVDC Transmission Systems

Abstract: Line-Commutated Converter High Voltage Direct Current (LCC HVDC) is a prominent method for HVDC power transmission. This paper addresses the fault identification challenge in LCC HVDC ...