Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives

U Raghavendra, A Gudigar, A Paul, TS Goutham… - Computers in Biology …, 2023 - Elsevier
A brain tumor is an abnormal mass of tissue located inside the skull. In addition to putting
pressure on the healthy parts of the brain, it can lead to significant health problems …

[HTML][HTML] Recent advances in harris hawks optimization: A comparative study and applications

AG Hussien, L Abualigah, R Abu Zitar, FA Hashim… - Electronics, 2022 - mdpi.com
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …

[HTML][HTML] Tuning machine learning models using a group search firefly algorithm for credit card fraud detection

D Jovanovic, M Antonijevic, M Stankovic, M Zivkovic… - Mathematics, 2022 - mdpi.com
Recent advances in online payment technologies combined with the impact of the COVID-
19 global pandemic has led to a significant escalation in the number of online transactions …

Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application

N Bacanin, M Zivkovic, F Al-Turjman… - Scientific Reports, 2022 - nature.com
Deep learning has recently been utilized with great success in a large number of diverse
application domains, such as visual and face recognition, natural language processing …

Modified firefly algorithm for workflow scheduling in cloud-edge environment

N Bacanin, M Zivkovic, T Bezdan… - Neural computing and …, 2022 - Springer
Edge computing is a novel technology, which is closely related to the concept of Internet of
Things. This technology brings computing resources closer to the location where they are …

Novel improved salp swarm algorithm: An application for feature selection

M Zivkovic, C Stoean, A Chhabra, N Budimirovic… - Sensors, 2022 - mdpi.com
We live in a period when smart devices gather a large amount of data from a variety of
sensors and it is often the case that decisions are taken based on them in a more or less …

[HTML][HTML] Novel hybrid firefly algorithm: An application to enhance XGBoost tuning for intrusion detection classification

M Zivkovic, M Tair, K Venkatachalam, N Bacanin… - PeerJ Computer …, 2022 - peerj.com
The research proposed in this article presents a novel improved version of the widely
adopted firefly algorithm and its application for tuning and optimising XGBoost classifier …

Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm

N Bacanin, V Simic, M Zivkovic, M Alrasheedi… - Annals of Operations …, 2023 - Springer
Computer resources provision over the internet resulted in the wide spread usage of cloud
computing paradigm. With the use of such resources come certain challenges that can …

[HTML][HTML] Multi-swarm algorithm for extreme learning machine optimization

N Bacanin, C Stoean, M Zivkovic, D Jovanovic… - Sensors, 2022 - mdpi.com
There are many machine learning approaches available and commonly used today,
however, the extreme learning machine is appraised as one of the fastest and, additionally …