|
|
|
|
|
Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini and Marco A. Deriu
This paper presents the intrinsic limit determination algorithm (ILD Algorithm), a novel technique to determine the best possible performance, measured in terms of the AUC (area under the ROC curve) and accuracy, that can be obtained from a specific data...
ver más
|
|
|
|
|
|
|
|
|
|
|
Giuseppe Acri, Valentina Venuti, Stefano Costa, Barbara Testagrossa, Salvatore Pellegrino, Vincenza Crupi and Domenico Majolino
We propose here a spectroscopic method to diagnose and differentiate inflammatory bowel diseases (IBD), such as ulcerative colitis (UC) and Crohn?s disease (CD) with pediatric onset, in a complete noninvasive way without performing any duodenal biopsy. I...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anis Hazirah Rodzi, Zalhan Bin Mohd Zin, Norazlin Ibrahim
Pág. 15 - 26
|
|
|
|
|
|
|
|
|
|
|
Qianqian Wang, Dongchuan Wang, Yong Huang, Zhiheng Wang, Lihui Zhang, Qiaozhen Guo, Wei Chen, Wengang Chen and Mengqin Sang
Landslides are usually initiated under complex geological conditions. It is of great significance to find out the optimal combination of predisposing factors and create an accurate landslide susceptibility map based on them. In this paper, the Informatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mimi Mukherjee and Matloob Khushi
Real-world datasets are heavily skewed where some classes are significantly outnumbered by the other classes. In these situations, machine learning algorithms fail to achieve substantial efficacy while predicting these underrepresented instances. To solv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cristian Rios-Escalante, Silvia Albán-Fernández, Rubén Espinoza-Rojas, Lorena Saavedra-Garcia, Noël C. Barengo and Jamee Guerra Valencia
The escalating prevalence of overall and abdominal obesity, particularly affecting Latin America, underscores the urgent need for accessible and cost-effective predictive methods to address the growing disease burden. This study assessed skinfold thickne...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ping Wan, Chaozhong Wu, Yingzi Lin and Xiaofeng Ma
-
|
|
|
|
|
|
|
|
|
|
|
Jingyun Gui, Ignacio Pérez-Rey, Miao Yao, Fasuo Zhao and Wei Chen
Spatial landslide susceptibility assessment is a fundamental part of landslide risk management and land-use planning. The main objective of this study is to apply the Credal Decision Tree (CDT), adaptive boosting Credal Decision Tree (AdaCDT), and random...
ver más
|
|
|
|
|
|
|
|
|
|
|
Miroslaw Kaminski
The paper discusses the impact that the quality of the digital elevation model (DEM) has on the final result of landslide susceptibility modeling (LSM). The landslide map was developed on the basis of the analysis of archival geological maps and the Ligh...
ver más
|
|
|
|
|
|
|
|
|
|
|
Leslie R. Pendrill, Jeanette Melin, Anne Stavelin and Gunnar Nordin
The justification for making a measurement can be sought in asking what decisions are based on measurement, such as in assessing the compliance of a quality characteristic of an entity in relation to a specification limit, SL. The relative performance of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei Xie, Xiaoshuang Li, Wenbin Jian, Yang Yang, Hongwei Liu, Luis F. Robledo and Wen Nie
Landslide susceptibility mapping (LSM) could be an effective way to prevent landslide hazards and mitigate losses. The choice of conditional factors is crucial to the results of LSM, and the selection of models also plays an important role. In this study...
ver más
|
|
|
|
|
|
|
|
|
|
|
Felicia Anisoara Damian, Simona Moldovanu, Nilanjan Dey, Amira S. Ashour and Luminita Moraru
(1) Background: In this research, we aimed to identify and validate a set of relevant features to distinguish between benign nevi and melanoma lesions. (2) Methods: Two datasets with 70 melanomas and 100 nevi were investigated. The first one contained ra...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lingfeng He, John Coggan, Mirko Francioni and Matthew Eyre
This paper proposes a novel method to incorporate unfavorable orientations of discontinuities into machine learning (ML) landslide prediction by using GIS-based kinematic analysis. Discontinuities, detected from photogrammetric and aerial LiDAR surveys, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zuoquan Nie, Qiuling Lang, Yichen Zhang, Jiquan Zhang, Yanan Chen and Zengkai Pan
Based on the data from two field surveys in 2015 and 2022, this paper calculates the weight of values using the entropy weight method and the variation coefficient method, and evaluates risk using the information quantity method. The information quantiti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mustapha Ikirri, Said Boutaleb, Ismael M. Ibraheem, Mohamed Abioui, Fatima Zahra Echogdali, Kamal Abdelrahman, Mouna Id-Belqas, Tamer Abu-Alam, Hasna El Ayady, Sara Essoussi and Farid Faik
An assessment of potential groundwater areas in the Ifni basin, located in the western Anti-Atlas range of Morocco, was conducted based on a multicriteria analytical approach that integrated a set of geomorphological and hydroclimatic factors influencing...
ver más
|
|
|
|
|
|
|
|
|
|
|
William Villegas-Ch and Jaime Govea
This article addresses the need for early emergency detection and safety monitoring in public spaces using deep learning techniques. The problem of discerning relevant sound events in urban environments is identified, which is essential to respond quickl...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiaming Song, Xiaojuan Wang, Mingshu He and Lei Jin
In computer networks, Network Intrusion Detection System (NIDS) plays a very important role in identifying intrusion behaviors. NIDS can identify abnormal behaviors by analyzing network traffic. However, the performance of classifier is not very good in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Angelo Cannarile, Vincenzo Dentamaro, Stefano Galantucci, Andrea Iannacone, Donato Impedovo and Giuseppe Pirlo
Recognition of malware is critical in cybersecurity as it allows for avoiding execution and the downloading of malware. One of the possible approaches is to analyze the executable?s Application Programming Interface (API) calls, which can be done using t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luiz Henrique A. Salazar, Valderi R. Q. Leithardt, Wemerson Delcio Parreira, Anita M. da Rocha Fernandes, Jorge Luis Victória Barbosa and Sérgio Duarte Correia
The health sector faces a series of problems generated by patients who miss their scheduled appointments. The main challenge to this problem is to understand the patient?s profile and predict potential absences. The goal of this work is to explore the ma...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vikas Tomer and Sachin Sharma
Malicious attacks are becoming more prevalent due to the growing use of Internet of Things (IoT) devices in homes, offices, transportation, healthcare, and other locations. By incorporating fog computing into IoT, attacks can be detected in a short amoun...
ver más
|
|
|
|
|
|