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A review of convolutional neural network applied to fruit image processing
(2020)
Agriculture has always been an important economic and social sector for humans. Fruit production is especially essential, with a great demand from all households. Therefore, the use of innovative technologies is of vital ...
Off-line writer verification using segments of handwritten samples and SVM
(2021)
This works presents a method to verify a person identity based on off-line handwritten strokes analysis. Its main contribution is that the descriptors are obtained from the constitutive segments of each grapheme, in contrast ...
Conditioning of extreme learning machine for noisy data using heuristic optimization
(2020)
This article provides a tool that can be used in the exact sciences to obtain good approximations to reality when noisy data is inevitable. Two heuristic optimization algorithms are implemented: Simulated Annealing and ...
Extreme learning machine adapted to noise based on optimization algorithms
(2020)
The extreme learning machine for neural networks of feedforward of a single hidden layer randomly assigns the weights of entry and analytically determines the weights the output by means the Moore-Penrose inverse, this ...
Multilayer extreme learning machine as equalizer in OFDM-based radio-over-fiber systems
(2021)
Mobile/wireless networks aim to support diverse services with numerous and sophisticated requirements, such as energy efficiency, spectral efficiency, negligible latency, robustness against time and frequency selective ...
Writer verification based on simple graphemes and extreme learning machine approaches
(2020)
Traditional literature presents complex biometric sources, descriptors, and classifiers to solve the writer's verification problem. The simple graphemes have been studied recently considering classifiers such as multilayer ...
A model based on clusters of similar color and NIR to estimate oil content of single olives
(2021)
Lipid extraction using the traditional, destructive Soxhlet method is not able to measure oil content (OC) on a single olive. As the color and near infrared spectrum are key parameters to build an oil estimation model (EM), ...
Convolutional neural networks for off-line writer identification based on simple graphemes
(2020)
The writer’s identification/verification problem has traditionally been solved by analyzing complex biometric sources (text pages, paragraphs, words, signatures, etc.). This implies the need for pre-processing techniques, ...
The extreme learning machine algorithm for classifying fingerprints
(2020)
Fingerprint recognition is the most employed bio-metric method for identification and verification purposes. Fingerprint images are classified into five categories according to the morphology of their ridges, which decreases ...
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 ...