News

IEEE23h
CNN-Genetic Algorithm Hybrid Approach for Rapid Inverse Design of Ultra-Wideband Metasurfaces
This paper presents a novel inverse design approach combining Convolutional Neural Networks (CNN) and Genetic Algorithm for metasurfaces. This method leverages CNN's advantages in feature extraction ...
IEEE1d
A Deep 1-D CNN and Bidirectional LSTM Ensemble Model With Arbitration Mechanism for LDDoS Attack Detection
However, the traditional detection models are normally in a dilemma condition since LDDoS ... Next, a competitive network composed of 1-D Convolutional Neural Network (1-D CNN) and a bidirectional ...
IEEE2d
Software Defect Prediction Using Random Forest Algorithm
The prediction of the software defect can be useful for the development of good quality software. For the prediction, the PROMISE public dataset will be used and random forest (RF) algorithm will be ...
IEEE4d
Multi-Objective Discrete Extremal Optimization of Variable-Length Blocks-Based CNN by Joint NAS and HPO for Intrusion Detection in IIoT
The individual-based discrete multi-objective evolutionary process of MODEO is designed to obtain the Pareto-optimal CNN models. Three widely-used IIoT intrusion detection datasets, including the Gas ...
IEEE4d
Detection of PV Solar Panel Surface Defects using Transfer Learning of the Deep Convolutional Neural Networks
The application of transfer learning with AlexNet CNN provided a very promising performance and reveal the potential of the approach for the detection of various defects in the surface of the solar ...
IEEE5d
A Simple Confidence-Supervised Model for High-Resolution Defect Recognition
Abstract: This paper addresses the critical role of chip manufacturing in advancing the high-tech industry. It emphasizes the need for quality control in the delicate and complex chip manufacturing ...
IEEE5d
Numerical nondestructive testing simulations for the detection of defects in thin multilayer composite material models
Abstract: By using numerical electromagnetic simulations in time domain, multilayer CAD models ... material defects by using a nondestructive testing simulation setup. Gaussian pulses with a duration ...
IEEE6d
YOLOv8s-D2: A Novel Object Defect Detection Algorithm Based on Improved YOLOv8s
Abstract: Addressing the issues of low efficiency and poor accuracy in current surface defect ... detection algorithm. This approach optimizes and enhances the YOLOv8s object detection neural network ...