Results 151 to 160 of about 55,623 (279)
Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease [PDF]
Olaide N. Oyelade, Absalom E. Ezugwu
openalex +1 more source
Deep learning pipeline developed to filter high‐speed bat flight recordings captured inside a custom flight tunnel. ABSTRACT This research aims to investigate the flying kinematics of bats, drawing inspiration from nature to benefit humans in achieving vision‐independent flights. The project uses 50 cameras mounted inside a specially designed tunnel to
D. P. Jayathunga +4 more
wiley +1 more source
Proposed approach for this study. ABSTRACT This study introduces a dynamically memory‐adjusted whale optimization algorithm (DMA‐WOA) for feature selection in polycystic ovary syndrome (PCOS) diagnosis. To overcome the standard WOA's limitations in balancing exploration and exploitation, DMA‐WOA incorporated adaptive memory control to improve ...
Daniel Kwame Amissah +4 more
wiley +1 more source
RETRACTED: An Enhanced K-Nearest Neighbor Predictive Model through Metaheuristic Optimization [PDF]
Allemar Jhone P. Delima
openalex +1 more source
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 +3 more
wiley +1 more source
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 +3 more
wiley +1 more source
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 +3 more
wiley +1 more source
Breast Cancer Classification Using Synthesized Deep Learning Model with Metaheuristic Optimization Algorithm. [PDF]
Thirumalaisamy S +7 more
europepmc +1 more source
Development of a Novel Modified Mean‐Line Approach for Performance Prediction of Axial Compressors
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 +2 more
wiley +1 more source
Optimization of Dye and Plasticizer Concentrations in Halochromic Sensor Films for Rapid pH Response Using Bird-Inspired Metaheuristic Algorithms [PDF]
Daeuk Kim +3 more
openalex +1 more source

