Results 131 to 140 of about 45,948 (211)

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
wiley   +1 more source

A Two‐Phase Detection Method Based on Ensemble Feature Fusion for Detecting Distributed Denial of Service (DDoS) Attacks in Cloud Computing Using Deep Learning Algorithm

Engineering Reports, Volume 8, Issue 2, February 2026.
This study introduces a two‐phase method for detecting DDoS attacks in cloud environments using ensemble feature fusion and a hybrid CNN‐LSTM model. By combining meta‐heuristic feature selection with deep learning, the approach achieves over 99% accuracy on benchmark datasets, reducing false positives and improving cybersecurity resilience.
Hind Saad Hussein, Fahad Navabifar, Fariba Majidi, Hayder Kadhim Hammood   +3 more
wiley   +1 more source

Mapping Quantum Computing Techniques for NP‐Hard Problems in Operations Management and Operations Research

Engineering Reports, Volume 8, Issue 2, February 2026.
Quantum computing techniques such as Quantum Annealing and Quadratic Unconstrained Binary Optimization are effectively solving NP‐hard problems in operations management and research, particularly in logistics, manufacturing, and finance. This study maps these applications to present a framework for future adoption across industries. ABSTRACT This study
Daniel Bouzon Nagem Assad, Patricia Gomes Ferreira da Costa, Thaís Spiegel, Hélcio de Oliveira Rocha   +3 more
wiley   +1 more source

Appropriate noise addition to metaheuristic algorithms can enhance their performance. [PDF]

Sci Rep, 2023
Choi KP, Kam EHH, Tong XT, Wong WK.
europepmc   +1 more source

Development of a Novel Modified Mean‐Line Approach for Performance Prediction of Axial Compressors

Energy Science &Engineering, Volume 14, Issue 2, Page 843-853, February 2026.
ABSTRACT There is significant importance in accurate prediction of axial flow compressor characteristics at different conditions. Different techniques and models have been proposed for performance prediction of axial compressors. Because of its lower computational cost and high speed the meanline algorithm has been widely applied in preliminary design ...
Sina Hassanlue, Mohammad Alhuyi Nazari, Mohammadreza Pakatchian   +2 more
wiley   +1 more source

A survey on binary metaheuristic algorithms and their engineering applications. [PDF]

Artif Intell Rev, 2023
Pan JS, Hu P, Snášel V, Chu SC.
europepmc   +1 more source

Optimized Asymmetrical Fuzzy‐2DOFTIDF Controller for LFC of Three‐Area Multi‐Sources Interconnected Power System Along With HAE‐FC and UPFC Using a New SOA Algorithm

Energy Science &Engineering, Volume 14, Issue 2, Page 866-886, February 2026.
This study proposes a novel Asymmetrical‐Fuzzy Two‐Degree‐of‐Freedom Tilt‐Integral‐Derivative (AF‐2DOF‐TIDF) controller for load frequency control in a multi‐area, multi‐source power system integrating Hydrogen‐Aqua‐Electrolyzer‐Fuel‐Cell (HAE‐FC) units and a Unified Power Flow Controller (UPFC).
Getaneh Mesfin Meseret, M. Bala Anand
wiley   +1 more source

Performance evaluation of advanced metaheuristic algorithms for directional overcurrent relay coordination in distribution networks. [PDF]

Sci Rep
Arslanoğlu İ, Altaş İH, Kılıç H.
europepmc   +1 more source

Modeling air pollution by integrating ANFIS and metaheuristic algorithms. [PDF]

Model Earth Syst Environ, 2023
Yonar A, Yonar H.
europepmc   +1 more source

A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants

Energy Science &Engineering, Volume 14, Issue 2, Page 887-904, February 2026.
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei, S. Ayoub Mirtavousi, Mohammadreza Dehghan   +2 more
wiley   +1 more source