A binary waterwheel plant optimization algorithm for feature selection
The vast majority of today's data is collected and stored in enormous databases with a wide
range of characteristics that have little to do with the overarching goal concept. Feature …
range of characteristics that have little to do with the overarching goal concept. Feature …
A recommendation system for electric vehicles users based on restricted Boltzmann machine and waterwheel plant algorithms
Ensuring reliable and easily accessible charging infrastructure becomes crucial as more
people adopt electric vehicles. This study introduces a recommendation system designed to …
people adopt electric vehicles. This study introduces a recommendation system designed to …
Diagnosis of monkeypox disease using transfer learning and binary advanced dipper throated optimization algorithm
The virus that causes monkeypox has been observed in Africa for several years, and it has
been linked to the development of skin lesions. Public panic and anxiety have resulted from …
been linked to the development of skin lesions. Public panic and anxiety have resulted from …
Classification of breast cancer using transfer learning and advanced al-biruni earth radius optimization
Breast cancer is one of the most common cancers in women, with an estimated 287,850 new
cases identified in 2022. There were 43,250 female deaths attributed to this malignancy. The …
cases identified in 2022. There were 43,250 female deaths attributed to this malignancy. The …
BAOA: binary arithmetic optimization algorithm with K-nearest neighbor classifier for feature selection
The Arithmetic Optimization Algorithm (AOA) is a recently proposed metaheuristic algorithm
that has been shown to perform well in several benchmark tests. The AOA is a metaheuristic …
that has been shown to perform well in several benchmark tests. The AOA is a metaheuristic …
Integrated CNN and waterwheel plant algorithm for enhanced global traffic detection
Traffic detection is critical in ensuring road safety and efficient traffic management,
demanding deploying accurate and practical algorithms. This research explores the fusion …
demanding deploying accurate and practical algorithms. This research explores the fusion …
A Novel Artificial-Intelligence-Based Approach for Classification of Parkinson's Disease Using Complex and Large Vocal Features
Parkinson's disease (PD) affects a large proportion of elderly people. Symptoms include
tremors, slow movement, rigid muscles, and trouble speaking. With the aging of the …
tremors, slow movement, rigid muscles, and trouble speaking. With the aging of the …
A novel metaheuristic inspired by horned lizard defense tactics
H Peraza-Vázquez, A Peña-Delgado… - Artificial Intelligence …, 2024 - Springer
This paper introduces HLOA, a novel metaheuristic optimization algorithm that
mathematically mimics crypsis, skin darkening or lightening, blood-squirting, and move-to …
mathematically mimics crypsis, skin darkening or lightening, blood-squirting, and move-to …
Optimizing truss structures using composite materials under natural frequency constraints with a new hybrid algorithm based on cuckoo search and stochastic paint …
This article highlights the absence of published paradigms hybridized by The Cuckoo
Search (CS) and Stochastic Paint Optimizer (SPO) for optimizing truss structures using …
Search (CS) and Stochastic Paint Optimizer (SPO) for optimizing truss structures using …
In Search of Excellence: SHOA as a Competitive Shrike Optimization Algorithm for Multimodal Problems
HK AbdulKarim, TA Rashid - IEEE Access, 2024 - ieeexplore.ieee.org
This paper proposes the Shrike Optimization Algorithm (SHOA) as a swarm intelligence
optimization algorithm. Many creatures, who live in groups and survive for the next …
optimization algorithm. Many creatures, who live in groups and survive for the next …