Recent advances in harris hawks optimization: A comparative study and applications
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
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 …
pressure on the healthy parts of the brain, it can lead to significant health problems …
Modified firefly algorithm for workflow scheduling in cloud-edge environment
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 …
Things. This technology brings computing resources closer to the location where they are …
Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application
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 …
application domains, such as visual and face recognition, natural language processing …
Performance of a novel chaotic firefly algorithm with enhanced exploration for tackling global optimization problems: Application for dropout regularization
Swarm intelligence techniques have been created to respond to theoretical and practical
global optimization problems. This paper puts forward an enhanced version of the firefly …
global optimization problems. This paper puts forward an enhanced version of the firefly …
Tuning machine learning models using a group search firefly algorithm for credit card fraud detection
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 …
19 global pandemic has led to a significant escalation in the number of online transactions …
Novel improved salp swarm algorithm: An application for feature selection
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 …
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
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 …
adopted firefly algorithm and its application for tuning and optimising XGBoost classifier …
Artificial neural networks hidden unit and weight connection optimization by quasi-refection-based learning artificial bee colony algorithm
Artificial neural networks are one of the most commonly used methods in machine learning.
Performance of network highly depends on the learning method. Traditional learning …
Performance of network highly depends on the learning method. Traditional learning …
Feature selection by hybrid brain storm optimization algorithm for covid-19 classification
A large number of features lead to very high-dimensional data. The feature selection method
reduces the dimension of data, increases the performance of prediction, and reduces the …
reduces the dimension of data, increases the performance of prediction, and reduces the …