Browse Items (5 total)
- Collection: Vol. 13 No. 4 (2024) December 2024
Sort by:
Deep Learning Model for Crop Diseases and Pest Classification
The study on deep learning models for crop diseases and pest classification looked at how these models may enhance agricultural practices, specifically for the purpose of more precise pest and crop disease classification. The research brought…
Embedded Feature Selection Augmented Thyroid Disorder Prediction using MLP
Due to its considerable fatality rate and increasing frequency, thyroid disorders pose a severe hazard to people's health in the modern era. Thus, it has become a useful topic to predict thyroid disease early on using a few basic physical indications…
Enhancing Image Processing Capabilities based on Optimized Neural Networks.
Image processing is the ability of machines to interpret and understand visual data, has been significantly advanced by Convolutional Neural Networks (CNNs). This study investigates the enhancement of image procesing performance through the…
Ensemble Feature Selection for Network Intrusion Detection: Combining Information Gain and Random Forest with Recursive Feature Elimination
Network intrusion detection systems (NIDS) are essential for protecting computer networks against cyberattacks. The selection of a nominal set of essential features that may adequately discriminate malicious traffic from the normal traffic is…
Multi Moving Objects Detection in Video Using Pre-trained Deep Convolutional Neural Networks
Abstract- Nowadays object tracking is a critical concern in the field of machine vision. With the advent of powerful computers, affordable cameras, and growing demand for automatic video analysis, researchers have shown significant interest in object…