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Mostrando publicaciones 1-10 de 10
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Classification of diseased and healthy apple leaves through extreme learning machines
; ; ; ; Barrientos, Ricardo
(2022)
Diseases in agricultural crops are a risk for fruit productivity and quality. Chile is a fruit exporting country; that needs the development of technologies for diseases prevention and treatment. Farmers have been exploring ...
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Detection of obfuscated malware by engineering memory functions applying ELM
(2023)Memory analysis is critical to detecting malicious processes, as it can capture various characteristics and behaviors. However, although it is a field in full research, there are still some major obstacles in malware ...
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Extreme learning machine (ELM) for detection of hazardous near Earth objects
(2023)The protection of planet Earth, its inhabitants, and all living beings requires the identification of potentially dangerous objects, the simulation of impacts with Earth, and the mitigation of such threats. This research ...
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Extreme learning machines as equalizers on optical OFDM systems
(2023)Optical Fiber Radio (RoF) systems based on OFDM meet the needs of high transmission and reception speeds, as well as offering greater reliability in the system. These systems are exposed to various disturbances, such as ...
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Extreme learning machines for detecting the water quality for human consumption
(2023)Determining the potability of water for consumption is crucial for human health. To assess the water quality, levels of minerals and ions are measured, such as pH, hardness, sodium, chloramines, sulfate, conductivity, ...
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Identification of immunoglobulin gene usage in immune repertoires sequenced by nanopore technology
; ; ; Barrientos, Ricardo; ; (2019)
The immunoglobulin receptor represents a central molecule in acquired immunity. The complete set of immunoglobulins present in an individual is known as immunological repertoire. The identification of this repertoire is ...
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PVEIN-MLELM: a novel palm vein identification approach through multilayer extreme learning machine
(2022)Biometric identification systems play an essential role in multiple application areas, such as banking services, e-government, and public security, among others. Particularly, palm vein recognition is considered an emerging ...
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Review of extreme learning machines for the identification and classification of fingerprint databases
(2022)The fingerprint is one of the most popular and used biometric traits for the identification of people, due to its bio-invariant characteristic, precision, and easy acquisition. One of the stages in the identification of ...
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UWB-OFDM System model for breast cancer detection
(2022)This research paper proposes a communication system that can be applied in diagnosis through medical imaging. The objective is to spot abnormalities in breasts with a high level of precision, allowing for diagnostics in ...
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Wine quality classification using physicochemical properties along with extreme learning machines
(2023)Chilean wine is one of the most consumed in the global market due to its excellent quality and wide variety of grape crops throughout the country, with Chile being the largest exporter of wine in the southern hemisphere. ...