A survey on 6G enabled light weight authentication protocol for UAVs, security, open research issues and future directions
This paper demonstrates a broad exploration of existing authentication and secure
communication of unmanned aerial vehicles (UAVs) in a '6G network'. We begin with an …
communication of unmanned aerial vehicles (UAVs) in a '6G network'. We begin with an …
Machine learning-based regression framework to predict health insurance premiums
Artificial intelligence (AI) and machine learning (ML) in healthcare are approaches to make
people's lives easier by anticipating and diagnosing diseases more swiftly than most …
people's lives easier by anticipating and diagnosing diseases more swiftly than most …
Faster rcnn target detection algorithm integrating cbam and fpn
W Sheng, X Yu, J Lin, X Chen - Applied Sciences, 2023 - mdpi.com
In the process of image shooting, due to the influence of angle, distance, complex scenes,
illumination intensity, and other factors, small targets and occluded targets will inevitably …
illumination intensity, and other factors, small targets and occluded targets will inevitably …
Predicting secondary school student performance using a double particle swarm optimization-based categorical boosting model
Z Fan, J Gou, C Wang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Knowing the potential students who will fail the final exam at early stages is very challenging
but important for the decision-makers in the educational institutions to take proper actions to …
but important for the decision-makers in the educational institutions to take proper actions to …
Chaos embed marine predator (CMPA) algorithm for feature selection
Data mining applications are growing with the availability of large data; sometimes, handling
large data is also a typical task. Segregation of the data for extracting useful information is …
large data is also a typical task. Segregation of the data for extracting useful information is …
Artificial intelligence for energy processes and systems: applications and perspectives
In recent years, artificial intelligence has become increasingly popular and is more often
used by scientists and entrepreneurs. The rapid development of electronics and computer …
used by scientists and entrepreneurs. The rapid development of electronics and computer …
How does the development of COVID-19 affect the public's engagement to fake news rebuttal microblogs?
Z Li, Y Zhao, X Du, S Wang, Y Ma, Y Zhang - Telematics and Informatics, 2023 - Elsevier
COVID-19 infodemics are intertwined with the dynamic development of the pandemic.
During infodemics, the challenges and difficulties are to reveal the dynamic evolution of …
During infodemics, the challenges and difficulties are to reveal the dynamic evolution of …
[HTML][HTML] Automobile Insurance Fraud Detection Using Data Mining: A Systematic Literature Review
Insurance is a pivotal element in modern society, but insurers face a persistent challenge
from fraudulent behaviour performed by policyholders. This behaviour could be detrimental …
from fraudulent behaviour performed by policyholders. This behaviour could be detrimental …
How Do Machine Learning (ML) Techniques Benefit the Insurance Industry?: An Exploratory Study
T Pal, M Irfan, SB Kassim - The Impact of AI Innovation on Financial …, 2023 - igi-global.com
In the present time, machine learning technologies are used for commercial purposes in
many industries, not only the insurance sector. The insurance sector is essential to the …
many industries, not only the insurance sector. The insurance sector is essential to the …
Research on the Improvement of Semi-Global Matching Algorithm for Binocular Vision Based on Lunar Surface Environment
YQ Guo, M Gu, ZD Xu - Sensors, 2023 - mdpi.com
The low light conditions, abundant dust, and rocky terrain on the lunar surface pose
challenges for scientific research. To effectively perceive the surrounding environment, lunar …
challenges for scientific research. To effectively perceive the surrounding environment, lunar …