A comprehensive survey on aquila optimizer
Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
[HTML][HTML] Android Malware Detection and Identification Frameworks by Leveraging the Machine and Deep Learning Techniques: A Comprehensive Review
The ever-increasing growth of online services and smart connectivity of devices have posed
the threat of malware to computer system, android-based smart phones, Internet of Things …
the threat of malware to computer system, android-based smart phones, Internet of Things …
Firefly-Aquila optimized Deep Q network for handoff management in context aware video streaming-based heterogeneous wireless networks
U Waghmode, U Kolekar - Web Intelligence, 2023 - content.iospress.com
Handoff management is the method in which the mobile node maintains its connection
active when it shifts from location to other. The devastating success of mobile devices as …
active when it shifts from location to other. The devastating success of mobile devices as …
Combining Lexical, Host, and Content-based features for Phishing Websites detection using Machine Learning Models
S Hamadouche, O Boudraa… - … Endorsed Transactions on …, 2024 - publications.eai.eu
In cybersecurity field, identifying and dealing with threats from malicious websites (phishing,
spam, and drive-by downloads, for example) is a major concern for the community …
spam, and drive-by downloads, for example) is a major concern for the community …
An In-Depth Analysis of Electric Vehicle Charging Station Based on LSTM and SVM Hybrid Model
V Ramkumar, AB Nadaf, MV Ghamande… - 2023 7th …, 2023 - ieeexplore.ieee.org
As part of their future smart city ambitions, many countries hope to increase environmental
sustainability by electrifying their transportation networks. This means that the percentage of …
sustainability by electrifying their transportation networks. This means that the percentage of …
Detection of malware in Android environment using machine learning techniques
FR Salman, AA Abdul Rahman - AIP Conference Proceedings, 2024 - pubs.aip.org
These days, malicious apps represent a serious threat to Android consumers, developers,
and app stores. Because malware has become more complicated, it has undergone …
and app stores. Because malware has become more complicated, it has undergone …
[PDF][PDF] Androidماæنل ةراïلا rماربلا flع Àشكلا تازيملا رايت| ا ةينقت مادختساب
RFR Salman, AA AbdulRahman - 2023 - iasj.net
The use of Android smartphones has been rising quickly as Internetbased services gain
more popularity and develop. The Android operating system's enormous popularity has …
more popularity and develop. The Android operating system's enormous popularity has …