[HTML][HTML] Artificial neural networks based optimization techniques: A review

MGM Abdolrasol, SMS Hussain, TS Ustun, MR Sarker… - Electronics, 2021 - mdpi.com
In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …

Network intrusion detection system: A systematic study of machine learning and deep learning approaches

Z Ahmad, A Shahid Khan, C Wai Shiang… - Transactions on …, 2021 - Wiley Online Library
The rapid advances in the internet and communication fields have resulted in a huge
increase in the network size and the corresponding data. As a result, many novel attacks are …

[HTML][HTML] Analyzing RNA-seq gene expression data using deep learning approaches for cancer classification

L Rukhsar, WH Bangyal, MS Ali Khan, AA Ag Ibrahim… - Applied Sciences, 2022 - mdpi.com
Ribonucleic acid Sequencing (RNA-Seq) analysis is particularly useful for obtaining insights
into differentially expressed genes. However, it is challenging because of its high …

Detection of Fake News Text Classification on COVID‐19 Using Deep Learning Approaches

WH Bangyal, R Qasim, NU Rehman… - … methods in medicine, 2021 - Wiley Online Library
A vast amount of data is generated every second for microblogs, content sharing via social
media sites, and social networking. Twitter is an essential popular microblog where people …

[HTML][HTML] Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data

E Chondrodima, H Georgiou, N Pelekis… - International Journal of …, 2022 - Elsevier
Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …

[PDF][PDF] New Modified Controlled Bat Algorithm for Numerical Optimization Problem.

WH Bangyal, A Hameed, J Ahmad, K Nisar… - … , Materials & Continua, 2022 - academia.edu
Bat algorithm (BA) is an eminent meta-heuristic algorithm that has been widely used to solve
diverse kinds of optimization problems. BA leverages the echolocation feature of bats …

Network intrusion detection system: a survey on artificial intelligence‐based techniques

MS Habeeb, TR Babu - Expert Systems, 2022 - Wiley Online Library
High data rate requirements in recent years have resulted in the massive expansion of
communication systems, network size and the amount of data generated and processed …

[HTML][HTML] Improved opposition-based particle swarm optimization algorithm for global optimization

N Ul Hassan, WH Bangyal, MS Ali Khan, K Nisar… - Symmetry, 2021 - mdpi.com
Particle Swarm Optimization (PSO) has been widely used to solve various types of
optimization problems. An efficient algorithm must have symmetry of information between …

Intrusion detection systems for IoT based on bio-inspired and machine learning techniques: a systematic review of the literature

R Saadouni, C Gherbi, Z Aliouat, Y Harbi, A Khacha - Cluster Computing, 2024 - Springer
Recent technological advancements have significantly expanded both networks and data,
thereby introducing new forms of attacks that pose considerable challenges to intrusion …

Unknown, Atypical and Polymorphic Network Intrusion Detection: A Systematic Survey

U Sabeel, SS Heydari, K El-Khatib… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Agile network security is paramount in our modern world which is currently dominated by
Internet systems and expanding digital spaces. This rapid digital transformation has created …