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Optimizing neural networks using spider monkey optimization algorithm for intrusion detection system
The constantly changing nature of cyber threats presents unprecedented difficulties for
people, institutions, and governments across the globe. Cyber threats are a major concern in …
people, institutions, and governments across the globe. Cyber threats are a major concern in …
A review of spider monkey optimization: modification and its biomedical application
In recent times, researchers have increasingly turned their attention to nature-inspired
algorithms that draw insights from the cognitive behaviors of animals, insects, and birds …
algorithms that draw insights from the cognitive behaviors of animals, insects, and birds …
Reliability dependent production-inventory model for redundancy allocation via fuzzy logic
This study deals with a reliability dependent production-inventory model in two scenarios: a
redundancy allocation with crisp structure and the other with fuzzy logic. Here, a …
redundancy allocation with crisp structure and the other with fuzzy logic. Here, a …
A novel importance measure considering multi-constraints for RAP optimization of 1-out-of-n subsystems with mixed redundancy strategy
Intelligent optimization algorithms are the mainstream approach to solving redundancy
allocation problems (RAP) with challenging features. Since importance measures (IM) can …
allocation problems (RAP) with challenging features. Since importance measures (IM) can …
Using particle-based simplified swarm optimization to solve the cold-standby reliability of the gas turbine industry
S Singla, K Kaur - International Journal of System Assurance Engineering …, 2024 - Springer
Simplified swarm optimization (SSO) and particle swarm optimization (PSO) are two types of
modern swarm intelligence techniques that are often used for optimization. In order to …
modern swarm intelligence techniques that are often used for optimization. In order to …
Fine-Tuned T5 Transformer with LSTM and Spider Monkey Optimizer for Redundancy Reduction in Automatic Question Generation
Abstract The significance of Automatic Question Generation (AQG) lies in its potential to
support educators and streamline assessment processes. Notable improvements in AQG …
support educators and streamline assessment processes. Notable improvements in AQG …
Revolutionizing Rice Leaf Disease Detection: Next-Generation SMOREF-SVM Integrating Spider Monkey Optimization and Advanced Machine Learning Techniques.
A Kurniawan, TR Soeprobowati… - International Journal of …, 2024 - search.ebscohost.com
Leaf diseases pose a significant challenge to rice productivity, which is critical as rice is a
staple food for over half of the world's population and a major agricultural commodity. These …
staple food for over half of the world's population and a major agricultural commodity. These …