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Deep learning for biological image classification
(2017-11-01)
A number of industries use human inspection to visually classify the quality of their products and the raw materials used in the production process, this process could be done automatically through digital image processing. ...
Feasibility study of optical spectroscopy as a medical tool for diagnosis of skin lesions
(Sciencie & Information SAI Organization, 2016-10)
Skin cancer is one of the most frequently encountered types of cancer in the Western world. According to the Skin Cancer Foundation Statistics, one in every five Americans develops skin cancer during his/her lifetime. ...
City safety perception model based on street images using machine learning and image processing techniques
(2018-03-18)
Abstract: Safety perception measurement has been a subject of interest in many cities of the world. This importance is due to its social relevance, and to its influence on many of the economic activities that take place ...
Development of an Intelligent Classifier Model for Denial of Service Attack Detection
The prevalence of Internet of Things (IoT) systems deployment is increasing across various domains, from residential to industrial settings. These systems are typically characterized by their modest computationa requirements ...
Exploring Supervised Techniques for Automated Recognition of Intention Classes from Portuguese Free Texts on Agriculture
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2022)
Machine Learning-based Prediction Model for Treatment of Acromegaly with First-generation Somatostatin Receptor Ligands
(2021-07-01)
Context: Artificial intelligence (AI), in particular machine learning (ML), may be used to deeply analyze biomarkers of response to first-generation somatostatin receptor ligands (fg-SRLs) in the treatment of acromegaly. ...
Detecção de mawares em dispositivos móveis utilizando machine learning
(Universidade Estadual Paulista (Unesp), 2018-11-13)
The evolution of technology in mobile devices has made it possible to offer many facilities in today's world that have attracted malicious individuals into this scenario, making it extremely difficult to deal with the ...
Método de conjuntos de nivel para máquinas de soporte vectorial
(Universidad de los AndesMatemáticasFacultad de CienciasDepartamento de Matemáticas, 2020)
We propose an empirical sampling procedure to solve the problem of support vector machines in large datasets. The general idea is to take a greater number of samples close to regions where, in distribution, a greater number ...
Automatic Multichannel Volcano-Seismic Classification Using Machine Learning and EMD
(Institute of Electrical and Electronics Engineers, 2020-03-27)
This article proposes the design of an automatic classifier using the empirical mode decomposition (EMD) along with machine learning techniques for identifying the five most important types of events of the Ubinas volcano, ...