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Nov 28, 2023Open    Access

Human Trafficking Detection System Using EfficientNet Model

Emmanuel Waribo Otiti, Chidiebere Ugwu, Linda Uchenna Oghenekaro, Augustine Ugbari
Human trafficking is the world’s most prevalent and growing crime. Law enforcement agencies have been faced with a lot of challenges worldwide in this area. Over the years different works of literature have tried to sort out methods and techniques for detecting and controlling human trafficking by making use of different types of data available. In this research, an EfficientNet model was developed to help in the detection of human trafficking cases, by classifying an image into a class of chain...
Open Access Library J.   Vol.10, 2023
Doi:10.4236/oalib.1110716


Nov 13, 2023Open    Access

A Study of Lighting Models for Automatic Detection of Regions of Interest and Surface Defects in Cast Metal Parts

George Kyriakides, Alexandros Daskalakis
This paper investigates the influence of ultraviolet (UV) lighting configurations on the automatic detection of Regions of Interest (ROIs) and the visual identification of surface defects in cast metal parts. A meticulous experimental setup was devised employing four UV light bars arranged in a rectangle, with varying combinations of active light sources. The study utilized the OpenCV library to automate the detection of mounting holes (ROIs) on the cast metal parts. Additionally, a visual inspe...
Open Access Library J.   Vol.10, 2023
Doi:10.4236/oalib.1110833


Oct 31, 2023Open    Access

Research on Gamification Teaching Based on ARCS Motivation Model—Taking the Mid-Level “Web Page Production and Practical Training” as an Example

Hong Yu, Wansong Liu
Gamification techniques can be used in the classroom to motivate and engage students significantly. “Web Page Production and Practical Training” is a compulsory course for secondary computer majors with solid practicality. In the context of education, this study shows how gamification has the potential to increase engagement and promote higher-order learning. However, according to the actual survey results so far, the teaching effect of this course could be more satisfactory because it has not s...
Open Access Library J.   Vol.10, 2023
Doi:10.4236/oalib.1110759


Mar 28, 2022Open    Access

Shape Descriptor Based on Curvature

Julio-Alejandro Romero-González, Marcela Herrera-Navarro, Hugo Jiménez-Hernández
Nowadays, the applications developed in the imaging area have focused on image measurement and compression, facial recognition, blurring, or image enhancement, to name a few. Among these activities, shape descriptors play an important role in describing the topology of an object and determining its general and local characteristics. Despite the large number of studies carried out, the idea of a robust shape descriptor remains a difficult problem, the challenges that hinder shape recognition are ...
Open Access Library J.   Vol.9, 2022
Doi:10.4236/oalib.1108422


Oct 26, 2016Open    Access

Facilitating the Automatic Characterisation, Classification and Description of Biological Images with the VisionBioShape Package for R

Biel Stela, Antonio Monleón-Getino
Here, we present the VisioBioshapeR package for R [R Core, 2014]. This new library is a comprehensive, multifunctional toolbox designed to automatically analyse biological images. The package extends other common libraries (Momocs, ShapeR) used for biological shape analysis by allowing the user to extract closed contour outlines automatically from reading binary images. Current functionalities of VisioBioshapeR include: random ext
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Open Access Library J.   Vol.3, 2016
Doi:10.4236/oalib.1103108


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