Improved dipper-throated optimization for forecasting metamaterial design bandwidth for engineering applications
Metamaterials have unique physical properties. They are made of several elements and are
structured in repeating patterns at a smaller wavelength than the phenomena they affect …
structured in repeating patterns at a smaller wavelength than the phenomena they affect …
Advancements and Applications of Convolutional Neural Networks in Image Analysis: A Comprehensive Review
Abstract Convolutional Neural Networks (CNNs) have revolutionized image analysis,
extracting meaningful features from raw pixel data for accurate predictions. This paper …
extracting meaningful features from raw pixel data for accurate predictions. This paper …
Multi-objective chaos game optimization
Abstract The Chaos Game Optimization (CGO) has only recently gained popularity, but its
effective searching capabilities have a lot of potential for addressing single-objective …
effective searching capabilities have a lot of potential for addressing single-objective …
ANNA: advanced neural network algorithm for optimisation of structures
The purpose of this study is to develop an advanced neural network algorithm as a new
optimisation for the optimal design of truss structures. The central concept of the algorithm is …
optimisation for the optimal design of truss structures. The central concept of the algorithm is …
M2F-Net: A deep learning-based multimodal classification with high-throughput phenoty** for identification of overabundance of fertilizers
Amaranth, a pseudocereal crop which is rich in nutrients and climate resistant, can provide
an opportunity to increase food security and nutritional content for the growing population …
an opportunity to increase food security and nutritional content for the growing population …
Aquila optimizer: review, results and applications
This survey presents a new optimization method named aquila optimizer (AO), motivated by
the hunting behavior of aquila. This optimizer is divided into four steps: choosing the search …
the hunting behavior of aquila. This optimizer is divided into four steps: choosing the search …
A comparative study of the coulomb's and franklin's laws inspired algorithm (cfa) with modern evolutionary algorithms for numerical optimization
Coulomb and Franklin's electricity laws are used in this paper to model an efficient
optimization algorithm based on electric particle searches, which has been named CFA. For …
optimization algorithm based on electric particle searches, which has been named CFA. For …
[PDF][PDF] khodadadi, N.; Abualigah, L.; Khafaga, DS; Ahmed, AE Improved Dipper-Throated Optimization for Forecasting Metamaterial Design Bandwidth for Engineering …
Metamaterials have unique physical properties. They are made of several elements and are
structured in repeating patterns at a smaller wavelength than the phenomena they affect …
structured in repeating patterns at a smaller wavelength than the phenomena they affect …
A related convolutional neural network for cancer diagnosis using microRNA data classification
This paper develops a method for cancer classification from microRNA data using a
convolutional neural network (CNN)‐based model optimized by genetic algorithm. The …
convolutional neural network (CNN)‐based model optimized by genetic algorithm. The …
Marine predator's algorithm: a survey of recent applications
L Abualigah, S Odah, AM Ikotun, AR Alsoud… - Metaheuristic …, 2024 - Elsevier
Marine predator's algorithm (MPA) is a new optimization algorithm. It is a nature-inspired
metaheuristic that simulates predator behaviors when hunting prey. This paper presented a …
metaheuristic that simulates predator behaviors when hunting prey. This paper presented a …