Düzce University by Nur UYLAŞ SATI

Get full text

Düzce University by Nur UYLAŞ SATI

Get full text

Segmentation protocols in the digital twins of monumental heritage: a methodological development by Valeria Cera, Massimiliano Campi

Get full text

Hodgkin lymphoma in children and adolescents: Advances in pathology, diagnosis, and treatment strategies by Adil Abdelhameed Abbas, Hatim Qasim Almaghraby

Get full text

Coal Seam Roof and Floor Lithology Prediction for Underground Coal Gasification Based on Deep Residual Shrinkage Network by Jialiang Guo, Ruizhao Yang, Fengtao Han

Get full text

A Real Data-Driven Clustering Approach for Countries Based on Happiness Score by Aditya Chakraborty, Chris P Tsokos

Get full text

Caesarean Section Patterns Among PVTGs: A Comparative Analysis in Eastern India by Pradeep Kumar Panda, Rahul Sharma

Get full text

System Flexibility-Oriented Optimized Unit Operation in Wind Farms by Qian LI, Luyang GOU, Fan LI, Anan ZHANG, Yadi ZHENG, Xipeng ZHOU

“…Secondly, based on their operating characteristics, the wind turbines, are classified using FCM classification algorithm in terms of their flexibilities such that the equivalent virtual power dispatch model of the units are established. …”
Get full text

Applying Machine Learning Sampling Techniques to Address Data Imbalance in a Chilean COVID-19 Symptoms and Comorbidities Dataset by Pablo Ormeño-Arriagada, Gastón Márquez, David Araya, Carla Rimassa, Carla Taramasco

“…The dataset obtained from the EPIVIGILA system and the Chilean Epidemiological Surveillance Process contains information on over 6,000,000 patients, but, like many current datasets, it suffers from class imbalance. To address this issue, we applied various machine learning algorithms, both with and without sampling methods, and compared them using different classification and diagnostic metrics such as precision, sensitivity, specificity, likelihood ratio positive, and diagnostic odds ratio. …”
Get full text

AFMF: adaptive fusion of multi-hop neighborhood features in graph convolutional network by Kang Liu, Xinyu Li, Lian Liu, Zhihao Xv, Aohang Pei, Runshi Ji

“…It adopts two different message passing strategies to aggregate node features of multi-hop neighbors, based on which weights are adaptively generated to fuse the aggregated node features for node classification. More specifically, we propose a multi-hop neighborhood feature extraction module (MNFE), which constructs multi-hop adjacency matrices with and without self-loops for extracting node features. …”
Get full text

A transfer learning-based graph convolutional network for dynamic security assessment considering loss of synchronism of wind turbines and unknown faults by Sasan Azad, Mohammad Taghi Ameli, Amjad Anvari-Moghaddam, Miadreza Shafie-khah

Get full text

Unlocking Potential Score Insights of Sentimental Analysis with a Deep Learning Revolutionizes by Ibrahim R. Alzahrani

“…Online hate has emerged as a rapidly growing issue worldwide, often stemming from differences in opinion. …”
Get full text

Area extraction and growth monitoring of sugarcane from multi-source remote sensing images under a polarimetric SAR data compensation based on buildings by Yong Hong, Tianjin Xie, Lengkun Luo, Mi Wang, Deren Li, Qing Zhang, Ting Xu

Get full text

A Retrospective Study of the Impact of the COVID-19 Pandemic on the Utilization and Quality of Antibiotic Use in a Tertiary Care Teaching Hospital in Low-Resource Settings by Vedrana Barišić, Tijana Kovačević, Maja Travar, Ana Golić Jelić, Pedja Kovačević, Dragana Milaković, Ranko Škrbić

“…The COVID-19 pandemic exacerbated this issue. This study aimed to evaluate long-term trends in antibiotic utilization in low-resource settings at a tertiary care teaching hospital, focusing specifically on the changes before, during, and after the COVID-19 pandemic. …”
Get full text

An updated version of the SZ-plugin: From space to space–time data-driven modeling in QGIS by Giacomo Titti, Liwei Hu, Pietro Festi, Letizia Elia, Lisa Borgatti, Luigi Lombardo

“…The first version of the SZ-plugin attempted to mitigate this issue by offering a modeling solution within QGIS. …”
Get full text

Statistical assessment of the activity of collective accommodation facilities and their contribution to the economy of the Russian Federation regions by V. N. Salin, M. V. Vakhrameeva, V. V. Narbut

“…In the paper, the authors considered definitions, classification, a system of indicators that form a methodological basis for statistical observation of the activity of collective accommodation facilities and their presentation in accordance with the current international and national statistical standards. …”
Get full text

ON IMPROVING THE PROBLEMS OF LEGAL REGULATION OF «UNDISCIPLINED» PASSENGER by V. A. Svirkin, T. L. Solovieva

Get full text

Cognitive Safety: Modern Threats to Society and Their Neutralization by A. V. Zabarin, G. V. Marchenko

“…The scientific originality of the issues under consideration is provided by the classification of cognitive threats proposed by the authors and the possible directions of their implementation through the creation and promotion of the relevant subcultures as grounds for the development of psychologically adequate mechanisms of counteracting these threats. …”
Get full text

FedDrip: Federated Learning With Diffusion-Generated Synthetic Image by Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul

Get full text

Classifcation of events in information security systems based on neural networks by A. A. Mikryukov, A. V. Babash, V. A. Sizov

“…These technologies allow accommodating incomplete, inaccurate and unidentified raw data, as well as utilizing previously accumulated information on security issues. To address the problem more effectively, collective methods based on collective neural ensembles aligned with an advanced complex approach were implemented.Materials and methods: When solving complex classification problems, often none of the classification algorithms provides the required accuracy. …”
Get full text