IEEE

AS-Faster-RCNN: An Improved Object Detection Algorithm for Airport Scene Based on Faster R-CNN

Abstract: Currently, the rapid development of the aviation industry has made the safety of the airport becomes more and more important. The most important part of this is the capability of ...
IEEE

Intelligent fault diagnosis of drill bit using Digital Twin Assisted deep learning classifiers of MLP, CNN, Hybrid MLP-CNN, and Hybrid CNN-MLP with PCA algorithm

Abstract: Intelligent fault diagnosis using AI models is an evolving engineering technique in the manufacturing sector. It detects anomalies in machinery and improves productivity, safety, efficiency, ...
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

Prediction of U2R attack in Wireless Networks using Novel CNN Alexnet in Comparison with Random Forest Algorithm

Abstract: The main objective of proposed research is to employ DL (Deep Learning) models to predict User-to-Root (U2R) attack using CNN (Convolution Neural Network) Alexnet. In this study, the dataset ...
IEEE

A Comprehensive Analysis of Cryptographic Algorithms: Evaluating Security, Efficiency, and Future Challenges

Abstract: Cryptographic techniques are reviewed in this literature review, with particular attention paid to their applicability, importance, contributions, and field strengths. These algorithms ...
IEEE

Categorization of Brain Tumor on MR Images Using Deep Learning Models

Abstract: Convolution Neural Network (CNN) algorithms have demonstrated notable capability in effectively analyzing human body image datasets obtained from MRI or CT with sufficient efficiency to ...
IEEE

Efficiency Evaluation of a Combining Compact 1D CNN and Signal Filtering Prototype Algorithm for Vibration Signal Classification

Abstract: This paper presents an experiment and results of the modified CNN algorithm, it was developed by combining a compact 1D convolution neural network with a tuned signal filter (low-pass filter ...
IEEE

Benchmarking CFAR and CNN-Based Peak Detection Algorithms in ISAC Under Hardware Impairments

Peak detection is a fundamental task in radar and has therefore been studied extensively in radar literature. However, Integrated Sensing and Communication (ISAC) systems for sixth generation (6 G) ...
IEEE

An Improved NGO Algorithm for Optimizing VMD-CNN-BILSTM-Cross Attention Bearing Fault Diagnosis Method

Abstract: Precisely identifying the fault-related operating state of the gear-box bearing represents a vital problem within industrial production. A bearing fault diagnosis method based on effectively ...
IEEE

The Application of Intelligent Recommendation Systems in Personalized Learning Path Planning: Combining CNN and Genetic Algorithms

Abstract: Aiming at the problem that traditional personalized learning path planning methods rely on expert experience and are difficult to accurately capture the deep relationship between learners' ...
Scientific Research Publishing

Ali, A., Mubarak, H., and Durrani, N. (2021) A Comparative Study of Character-Level CNN and RNN Models for Language Identification. IEEE Access, 9, 58702-58713.

ABSTRACT: This study presents a comparative analysis of two distinct machine learning approaches for multilingual text identification: character-level neural networks (CNN/RNN) and traditional Naive ...
IEEE

Development of CNN-Based Semantic Segmentation Algorithm for Crop Classification of Korean Major Upland Crops Using NIA AI HUB

Abstract: Accurately estimating crop cultivation areas is critical for predicting yields and managing overproduction, particularly for staple crops grown in regions like Jeju Island, South Korea, ...