[HTML][HTML] An optimized ensemble model with advanced feature selection for network intrusion detection
In today's digital era, advancements in technology have led to unparalleled levels of
connectivity, but have also brought forth a new wave of cyber threats. Network Intrusion …
connectivity, but have also brought forth a new wave of cyber threats. Network Intrusion …
[PDF][PDF] Applying Customized Convolutional Neural Network to Kidney Image Volumes for Kidney Disease Detection.
A Altalbe, AR Javed - Computer Systems Science & …, 2023 - cdn.techscience.cn
Kidney infection is a severe medical issue affecting individuals worldwide and increasing
mortality rates. Chronic Kidney Disease (CKD) is treatable during its initial phases but can …
mortality rates. Chronic Kidney Disease (CKD) is treatable during its initial phases but can …
EFS-XGBoost: A robust framework for precision classification of COVID-19 cases
The emergence of the novel COVID-19 virus has had a profound impact on global
healthcare systems and economies, underscoring the imperative need for the development …
healthcare systems and economies, underscoring the imperative need for the development …
Graph Neural Network and Its Applications
S Biswas - Concepts and Techniques of Graph Neural Networks, 2023 - igi-global.com
Graph neural network (GNN) is an emerging field in deep learning. Graphs have more
expressive power than any other data structure. Graph neural network is one of the …
expressive power than any other data structure. Graph neural network is one of the …
Driving with Deep Learning: A Robust Traffic Sign Detection and Classification System
H Patel, I Chippa, D Kumar, VR Maske… - … on Intelligent Data …, 2024 - ieeexplore.ieee.org
Intelligent Transport Systems, such as self-driving automobiles, represent a prime example
of applications utilizing traffic sign recognition technology. The increasing demand for …
of applications utilizing traffic sign recognition technology. The increasing demand for …
Comprehensive Study of Face Recognition Using Feature Extraction and Fusion Face Technique
J Mehra, N Singh - Concepts and Techniques of Graph Neural …, 2023 - igi-global.com
Face recognition is a process by which the identity of a person is determined from the face
images stored in a face database. Face recognition is one of the most successful …
images stored in a face database. Face recognition is one of the most successful …