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

DYMRO-SLAM: A Robust Stereo Visual SLAM for Dynamic Environments Leveraging Mask R-CNN and Optical Flow

Abstract: Simultaneous localization and mapping (SLAM) enables robots to localize in uncertain environments and has been widely used in the field of robotics. However, traditional vision SLAM systems ...
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

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

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

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

An Intelligent Cable Arrangement Detection Algorithm via Improved CNN Architecture and Edge Rectification Technology

Abstract: This research proposes an intelligent cable arrangement detection algorithm integrating improved convolutional neural network (CNN) and edge rectification, focusing on the elongated object ...