A review on social spam detection: Challenges, open issues, and future directions
Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …
applications such as content sharing, chatting, making friends/followers, customer …
A comprehensive survey: Whale Optimization Algorithm and its applications
FS Gharehchopogh, H Gholizadeh - Swarm and Evolutionary Computation, 2019 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …
A cost-efficient IoT service placement approach using whale optimization algorithm in fog computing environment
The rapid development of Internet of Things (IoT)-based applications and the era of 5G
networks has led to an exponential increase in the amount of data required for processing …
networks has led to an exponential increase in the amount of data required for processing …
An intelligent system for spam detection and identification of the most relevant features based on evolutionary random weight networks
With the incremental use of emails as an essential and popular communication mean over
the Internet, there comes a serious threat that impacts the Internet and the society. This …
the Internet, there comes a serious threat that impacts the Internet and the society. This …
An efficient malware detection approach with feature weighting based on Harris Hawks optimization
This paper introduces and tests a novel machine learning approach to detect Android
malware. The proposed approach is composed of Support Vector Machine (SVM) classifier …
malware. The proposed approach is composed of Support Vector Machine (SVM) classifier …
Deep learning to filter SMS Spam
The popularity of short message service (SMS) has been growing over the last decade. For
businesses, these text messages are more effective than even emails. This is because while …
businesses, these text messages are more effective than even emails. This is because while …
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm
Breast cancer is one of the leading causes of death in the current age. It often results in
subpar living conditions for a patient as they have to go through expensive and painful …
subpar living conditions for a patient as they have to go through expensive and painful …
Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals
Z Wang, L Yao, G Chen, J Ding - ISA transactions, 2021 - Elsevier
The rolling bearing vibration signals are complex, non-linear, and non-stationary, it is difficult
to extract the sensitive features and diagnose faults by conventional signal processing …
to extract the sensitive features and diagnose faults by conventional signal processing …
An efficient marine predators algorithm for feature selection
DS Abd Elminaam, A Nabil, SA Ibraheem… - IEEE …, 2021 - ieeexplore.ieee.org
Feature Selection (FS) reduces the number of features by removing unnecessary,
redundant, and noisy information while kee** a relatively decent classification accuracy …
redundant, and noisy information while kee** a relatively decent classification accuracy …
Data poisoning attacks against machine learning algorithms
FA Yerlikaya, Ş Bahtiyar - Expert Systems with Applications, 2022 - Elsevier
For the past decade, machine learning technology has increasingly become popular and it
has been contributing to many areas that have the potential to influence the society …
has been contributing to many areas that have the potential to influence the society …