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Modified firefly algorithm for workflow scheduling in cloud-edge environment

Neural computing & applications, 2022, Vol.34 (11), p.9043-9068

2022

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Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application

Scientific reports, 2022-04, Vol.12 (1), p.6302-6302, Article 6302

2022

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On the Number of Equivalence Classes of Boolean and Invertible Boolean Functions

IEEE transactions on information theory, 2021-01, Vol.67 (1), p.391-407

2021

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Novel Improved Salp Swarm Algorithm: An Application for Feature Selection

Sensors (Basel, Switzerland), 2022-02, Vol.22 (5), p.1711

2022

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Multi-Swarm Algorithm for Extreme Learning Machine Optimization

Sensors (Basel, Switzerland), 2022-05, Vol.22 (11), p.4204

2022

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Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design

Sensors (Basel, Switzerland), 2021-10, Vol.21 (19), p.6654

2021

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Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization

Mathematics (Basel), 2021-11, Vol.9 (21), p.2705

2021

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Hybrid Fruit-Fly Optimization Algorithm with K-Means for Text Document Clustering

Mathematics (Basel), 2021-08, Vol.9 (16), p.1929

2021

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On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting

Energies (Basel), 2023-02, Vol.16 (3), p.1434

2023

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Tuning attention based long-short term memory neural networks for Parkinson's disease detection using modified metaheuristics

Scientific reports, 2024-02, Vol.14 (1), p.4309-4309, Article 4309

2024

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Tuning Machine Learning Models Using a Group Search Firefly Algorithm for Credit Card Fraud Detection

Mathematics (Basel), 2022-07, Vol.10 (13), p.2272

2022

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Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data

Sensors (Basel, Switzerland), 2023-12, Vol.23 (24), p.9878

2023

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Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm

IEEE access, 2021, Vol.9, p.169135-169155

2021

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Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering

Mathematics (Basel), 2022-11, Vol.10 (22), p.4173

2022

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Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification

PeerJ. Computer science, 2022-04, Vol.8, p.e956-e956, Article e956

2022

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Performance evaluation of metaheuristics-tuned recurrent neural networks for electroencephalography anomaly detection

Frontiers in physiology, 2023-11, Vol.14, p.1267011-1267011

2023

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Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation

Axioms, 2023-03, Vol.12 (3), p.266

2023

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Enhancing Internet of Things Network Security Using Hybrid CNN and XGBoost Model Tuned via Modified Reptile Search Algorithm

Applied sciences, 2023-12, Vol.13 (23), p.12687

2023

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What are preferred water-aromatic interactions in proteins and crystal structures of small molecules?

Physical chemistry chemical physics : PCCP, 2014-01, Vol.16 (43), p.23549-23553

2014

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The Explainable Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate

Atmosphere, 2023-01, Vol.14 (1), p.109

2023

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Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization

Complex & intelligent systems, 2024-04, Vol.10 (2), p.2249-2269

2024

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Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks

Applied sciences, 2023-08, Vol.13 (16), p.9181

2023

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Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach

PeerJ. Computer science, 2023-06, Vol.9, p.e1405-e1405, Article e1405

2023

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Identifying and Understanding Student Dropouts Using Metaheuristic Optimized Classifiers and Explainable Artificial Intelligence Techniques

IEEE access, 2024, Vol.12, p.122377-122400

2024

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Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics

Axioms, 2024-05, Vol.13 (5), p.335

2024

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Modified firefly algorithm for workflow scheduling in cloud-edge environment

Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application

On the Number of Equivalence Classes of Boolean and Invertible Boolean Functions

Novel Improved Salp Swarm Algorithm: An Application for Feature Selection

Multi-Swarm Algorithm for Extreme Learning Machine Optimization

Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design

Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization

Hybrid Fruit-Fly Optimization Algorithm with K-Means for Text Document Clustering

On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting

Tuning attention based long-short term memory neural networks for Parkinson's disease detection using modified metaheuristics

Tuning Machine Learning Models Using a Group Search Firefly Algorithm for Credit Card Fraud Detection

Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data

Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm

Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering

Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification

Performance evaluation of metaheuristics-tuned recurrent neural networks for electroencephalography anomaly detection

Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation

Enhancing Internet of Things Network Security Using Hybrid CNN and XGBoost Model Tuned via Modified Reptile Search Algorithm

What are preferred water-aromatic interactions in proteins and crystal structures of small molecules?

The Explainable Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate

Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization

Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks

Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach

Identifying and Understanding Student Dropouts Using Metaheuristic Optimized Classifiers and Explainable Artificial Intelligence Techniques

Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics

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