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Spark-based multi-verse optimizer as wrapper features selection algorithm for phishing attack challenge
Nowadays, phishing attacks have grown rapidly, and there is an urgent need to introduce a suitable detection method that has the ability to detect...
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Particle Swarm Optimizer Without Communications Among Particles
Particle Swarm Optimizer (PSO) is a kind of population-based evolutionary optimizer. Many PSO variants have been proposed and most of them require...
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Automatic software bug prediction using adaptive golden eagle optimizer with deep learning
In the software maintenance and development process, the software bug detection is an essential problem because it related with the complete software...
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Elk herd optimizer: a novel nature-inspired metaheuristic algorithm
This paper proposes a novel nature-inspired swarm-based optimization algorithm called elk herd optimizer (EHO). It is inspired by the breeding...
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The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
Optimization algorithms are used to improve model accuracy. The optimization process undergoes multiple cycles until convergence. A variety of...
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Marine Goal Optimizer Tuned Deep BiLSTM-Based Self-Configuring Intrusion Detection in Cloud
A Self-configuring intrusion detection system (IDS) present in the cloud monitors the suspicious activities affecting the user’s system and data by...
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Analysis of traffic flow prediction from spatial-temporal data using hybrid GSA-Adam optimizer based LSTM network for intelligent transport system
In recent decades, the intelligent transportation system (ITS) has gotten extensive consideration, because of greater levels of popularity for road...
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Grey wolf optimizer based IQA of mixed and multiple distorted images
Due to quality degradations induced at various phases of visual signal capture, compression, transmission, and display, perceptual quality...
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An Adaptive Learning Rate Deep Learning Optimizer Using Long and Short-Term Gradients Based on G–L Fractional-Order Derivative
Deep learning model is a multi-layered network structure, and the network parameters that evaluate the final performance of the model must be trained...
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Development of multi-objective equilibrium optimizer: application to cancer chemotherapy
Any multi-objective optimization algorithms are usually introduced by develo** a single-objective algorithm. In the current study, a recently...
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Prostate cancer grading framework based on deep transfer learning and Aquila optimizer
Prostate cancer is the one of the most dominant cancer among males. It represents one of the leading cancer death causes worldwide. Due to the...
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Red fox optimizer based feature selection with optimal deep learning based Intrusion detection for network security
In recent times, increasing severity and complication of security assaults on computer networks are simulated security researchers to incorporate...
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An efficient meta-heuristic algorithm based on water flow optimizer for data clustering
Clustering is a popular data analysis technique that can explore the structure of data through cluster analysis. Similar data are put into the same...
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Black eagle optimizer: a metaheuristic optimization method for solving engineering optimization problems
This paper proposes a new intelligent optimization algorithm named Black Eagle Optimizer (BEO) based on the biological behaviour of the black eagle....
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Modified Aquila Optimizer Feature Selection Approach and Support Vector Machine Classifier for Intrusion Detection System
With the ever-expanding ubiquity of the Internet, wireless networks have permeated every facet of modern life, escalating concerns surrounding...
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Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
This paper proposes a novel swarm intelligence-based metaheuristic called as sea-horse optimizer (SHO), which is inspired by the movement, predation...
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A boosted chimp optimizer for numerical and engineering design optimization challenges
Chimp optimization algorithm (ChoA) has a wholesome attitude roused by chimp’s amazing thinking and hunting ability with a sensual movement for...
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A hybrid of modified YOLOv3 with BBO/EE optimizer for lung cancer detection
The human body comprises various essential organs, including the lungs responsible for gas exchange during respiration. The prevalence of modern...
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Improved team learning-based grey wolf optimizer for optimization tasks and engineering problems
Optimization refers to finding the optimal solution to minimize or maximize the objective function. In the field of engineering, this plays an...
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Multi-objective Biological Survival Optimizer with Application in Engineering Problems
Biological survival optimizer is a recent proposed swarm-based optimization algorithm, which is inspired by the nature behavior of prey and has two...