IEEE

Implementation of the Convolutional Neural Network (CNN) Method to Detect Traffic Congestion and Determine the Best Route Using the Heuristic Search Algorithm on Palembang City ...

Abstract: The city of Palembang is facing a significant increase in traffic density, causing various problems such as congestion. Research was conducted to overcome this problem by using various ...
IEEE

Accelerating Meta-Learning with the Enhanced Reptile Algorithm for Rapid Adaptation in Neural Networks

Abstract: Reptile is an innovative meta-learning approach that improves the process of neural networks training across diverse tasks. Reptile differs from the preference gradient strategies. It ...
IEEE

Research on Artificial Intelligence-Assisted Personalized Learning Path Generation Algorithm Based on Deep Learning

Abstract: This study presents deep learning models' design, implementation, and evaluation to generate personalized learning paths in educational environments. Data was collected from diverse sources, ...
IEEE

Intelligent Prediction and Optimization Algorithm of Intelligent Building Energy Management System Based on Deep Learning

Abstract: An intelligent prediction and optimization algorithm of intelligent building energy management system (EMS) with deep learning is proposed. The system architecture includes three modules: ...

Teen Develops Flood-Detecting CubeSat

High school sophomore Abigail Merchant has made it her mission to use technology to reduce flood-related deaths. The ...
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

Deep Learning Models for Precision Agriculture: Evaluating CNN Architectures for Accurate Plant Disease Detection

Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
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 ...
IEEE

Fault Diagnosis of Photovoltaic Power Stations Based on the CNN-LSTM-BP Algorithm

Abstract: Driven by the strategic goals of carbon peak and carbon neutrality, photovoltaic (PV) power generation has developed rapidly. However, PV power stations are prone to failures such as ...
IEEE

Optimization of Federated Learning Algorithm for Non-lID Data: Improvements to the FedDyn Algorithm

Abstract: This paper investigates the optimization of the FedDyn algorithm in Federated Learning (FL). Federated Learning is a distributed machine learning framework that enables model training on ...