Results 21 to 30 of about 561,945 (263)
Plant Disease Detection Using Deep Convolutional Neural Network
Applied Sciences, 2022 In this research, we proposed a novel 14-layered deep convolutional neural network (14-DCNN) to detect plant leaf diseases using leaf images. A new dataset was created using various open datasets.
J. Arun Pandian +5 more
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Optimizing Persistent Random Searches [PDF]
Physical Review Letters, 2012 4 pages, 4 ...
Tejedor, Vincent +2 more
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Generalization of navigation memory in honeybees
Frontiers in Behavioral Neuroscience, 2023 Flying insects like the honeybee learn multiple features of the environment for efficient navigation. Here we introduce a novel paradigm in the natural habitat, and ask whether the memory of such features is generalized to novel test conditions. Foraging
Eric Bullinger +2 more
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Agent-Based Collaborative Random Search for Hyperparameter Tuning and Global Function Optimization
Systems, 2023 Hyperparameter optimization is one of the most tedious yet crucial steps in training machine learning models. There are numerous methods for this vital model-building stage, ranging from domain-specific manual tuning guidelines suggested by the oracles ...
Ahmad Esmaeili +2 more
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Diffusion–Advection Equations on a Comb: Resetting and Random Search
Mathematics, 2021 This review addresses issues of various drift–diffusion and inhomogeneous advection problems with and without resetting on comblike structures. Both a Brownian diffusion search with drift and an inhomogeneous advection search on the comb structures are ...
Trifce Sandev +3 more
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Journal of Applied Informatics and Computing, 2023 Classification is one of the important tasks in the field of Machine Learning. Classification can be viewed as an Optimization Problem (Optimization Problem) with the aim of finding the best model that can represent the relationship/pattern between data ...
Muhamad Fajri, Aji Primajaya
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Machine Learning and Knowledge Extraction, 2023 In an era characterised by rapid technological advancement, the application of algorithmic approaches to address complex problems has become crucial across various disciplines.
Samuel Corecco +2 more
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Optimum Design of Reinforced Cylindrical Shells Under Combined Axial Compression and Internal Pressure [PDF]
Journal of Mechanical Engineering, 2021 This paper discusses the use of the random search method for the optimal design of single-layered rib-reinforced cylindrical shells under combined axial compression and internal pressure with account taken of the elastic-plastic material behavior.
Heorhii V. Filatov
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Search for the smallest random forest [PDF]
Statistics and Its Interface, 2009 Random forests have emerged as one of the most commonly used nonparametric statistical methods in many scientific areas, particularly in analysis of high throughput genomic data. A general practice in using random forests is to generate a sufficiently large number of trees, although it is subjective as to how large is sufficient.
Heping, Zhang, Minghui, Wang
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Random Search Hyperparameter Optimization for BPNN to Forecasting Cattle Population [PDF]
E3S Web of ConferencesBackpropagation Neural Network (BPNN) is a suitable method for predicting the future. It has weaknesses, namely poor convergence speed and instability, requiring parameter tuning to overcome speed problems, and having a high bias.
Khotimah Bain Khusnul +6 more
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