Comprehensive systematic review of intelligent approaches in UAV-based intrusion detection, blockchain, and network security
Abstract Unmanned Aerial Vehicles (UAVs) have evolved into a pivotal component of
electronic devices deployed across a diverse array of sectors and industries in recent years …
electronic devices deployed across a diverse array of sectors and industries in recent years …
AI-driven adaptive learning for enhancing business intelligence simulation games
GP Bharathi, I Chandra, DPR Sanagana… - Entertainment …, 2024 - Elsevier
This study investigates how automated adaptable learning (BSG) may improve business
simulating games (BSG) and its transformation possibilities. The rapid increase of …
simulating games (BSG) and its transformation possibilities. The rapid increase of …
Transactive energy management system for smart grids using Multi-Agent Modeling and Blockchain
Technological approaches for effective energy regulation are required due to incorporating
contemporary electrical systems with sustainable power resources. Our article suggests a …
contemporary electrical systems with sustainable power resources. Our article suggests a …
Accelerating autonomous vehicle safety through Real-Time Immersive virtual reality gaming simulations
Although autonomous vehicles (AVs) have great potential for improving traffic safety, several
questions about their practicality persist. Although it is crucial, doing tests on the road may …
questions about their practicality persist. Although it is crucial, doing tests on the road may …
Accurate Detection of Forgery in Signature using Deep Learning Algorithm in Comparison with Random Forest Model
P Jayaprakash, G Ramkumar - 2023 9th International …, 2023 - ieeexplore.ieee.org
This research is about the detection of forgery in signature images from the parameters
taken from the data set using the Novel Random Forest Model (RFM) deep learning …
taken from the data set using the Novel Random Forest Model (RFM) deep learning …
A Novel Detection of Hazardous Fires from CCTV Images using Novel YOLOv7 in Comparison with Faster R-CNN
PR VP, G Ramkumar - 2023 9th International Conference on …, 2023 - ieeexplore.ieee.org
Main objective of this research is to detect hazardous fire. This works utilizes Novel YOLOv7,
and compares its precision and performance with Faster R-CNN. Two groups of 34 samples …
and compares its precision and performance with Faster R-CNN. Two groups of 34 samples …