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Raspberries-LITRP database: RGB images database for the industrial applications of red raspberries’ automatic quality estimation
(2022)
This work presents a free new database designed from a real industrial process to recognize,
identify, and classify the quality of the red raspberry accurately, automatically, and in real time.
Raspberry trays with ...
Using heaps on GPU
(2022)
Nowadays, searching algorithms are a key component in modern computer science applications. However, traditional approaches of exact search techniques are practicallyan unfeasible solution with the rise of data in ...
Parallel training of a set of online sequential extreme learning machines
(2022)
Size databases have constantly increased from advances in technology and the Internet, so processing this vast amount of information has been a great challenge. The neural network Extreme Learning Machine (ELM) have been ...
A new fast training algorithm for autoencoder neural networks based on extreme learning machine
(2022)
Autoencoders are neural networks that are characterized by having the same inputs and outputs. This kind of Neural Networks aim to estimate a nonlinear transformation whose parameters allow to represent the input patterns ...
Fingerprint classification with the extreme learning machine algorithm for multilayer perceptron
(2022)
Fingerprint classification comes to be a relevant guarantee for efficient as well as accurate fingerprint identification, in particular in the case of dealing with one-to-many fingerprint identification. Nevertheless, owing ...
Fast tuning of extreme learning machine neural networks based with simple optimization algorithms
(2022)
Extreme Learning Machine (ELM) is a neural network training paradigm that is characterized by simplicity, speed and high level of accuracy. The tuning of the network parameters is normally carried out with non-linear ...
Off-line writer verification based on small segments of handwritten text and convolutional neural networks
(2022)
This paper proposes a new method for writer identification based on small fragments of handwritten text randomly obtained from a paragraph. The main contribution of this work is to show that small fragments carry enough ...
Fruit-scan: system to automatically detect raspberry quality using computer vision techniques
(2022)
Chile ranks tenth among the countries that export raspberries. In the Maule Region there are approximately 1,200 families who obtain their economic livelihood based on raspberry production. Raspberry exporting companies ...
Training of an extreme learning machine autoencoder based on an iterative shrinkage-thresholding optimization algorithm
(2022)
Orthogonal transformations, proper decomposition, and the Moore–Penrose inverse are traditional methods of obtaining the output layer weights for an extreme learning machine autoencoder. However, an increase in the number ...
Water status estimation of cherry trees using infrared thermal imagery coupled with supervised machine learning modeling
(2022)
The implementation of artificial intelligence (AI) in parallel with remote sensing could be a powerful tool to manage irrigation scheduling on crops with narrow thresholds between water stress levels, such as cherry trees. ...