Results 191 to 200 of about 57,781 (308)
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
Hybrid Pigeon Inspired Optimizer-Gray Wolf Optimization for Network Intrusion Detection
openaire +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
American Journal of Hematology, Volume 101, Issue 3, Page 628-632, March 2026.
Zhenbin Wei +19 more
wiley +1 more source
Artificial intelligence and big data platforms are transforming oncology clinical practice. This review proposes a physician‐centered framework to integrate AI tools with real‐world data, supporting more precise diagnosis, individualized treatment, and improved patient outcomes.
Binliang Liu +7 more
wiley +1 more source
Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization-Simulated Annealing for Feature Selection and Gray Wolf Optimization-Optimized LightGBM Algorithm. [PDF]
Han D, Li H, Fu X.
europepmc +1 more source
White‐Tailed Deer Baiting Altered Black Bear Site Use but Not Movements or Range Size
Black bears (Ursus americanus) in the Upper Peninsula of Michigan, USA visited sites more often and for longer durations following the application of bait targeting white‐tailed deer (Odocoileus virginianus). However, black bear home ranges and movement rates were not influenced by the application of bait.
Nathaniel H. Wehr +5 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
Data-Aided Maximum Likelihood Joint Angle and Delay Estimator Over Orthogonal Frequency Division Multiplex Single-Input Multiple-Output Channels Based on New Gray Wolf Optimization Embedding Importance Sampling. [PDF]
Abdelkhalek M, Ben Amor S, Affes S.
europepmc +1 more source

