Epidemiological Characteristics and Prognostic Scoring in Toxic Epidermal Necrolysis and Stevens–Johnson Syndrome: Insights from a 17-Year Burn Center Experience by David Breidung, Sarina Delavari, Ioannis-Fivos Megas, Alexander Geierlehner, Wolfgang Hitzl, Karl J. Bodenschatz, Konrad Karcz, Denis Ehrl, Moritz Billner

Get full text

Management cycle in cooperation between higher education institutions and enterprises by Tatyana O. Platonova

Get full text

Functions of the Language Game in the Internet Discourse by E. S. Efremova

Get full text

Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors by Giacomo Peruzzi, Alessandra Galli, Giada Giorgi, Alessandro Pozzebon

Get full text

A New Robust Classifier on Noise Domains: Bagging of Credal C4.5 Trees by Joaquín Abellán, Javier G. Castellano, Carlos J. Mantas

Get full text

Novel Deep Learning Method in Hip Osteoarthritis Investigation Before and After Total Hip Arthroplasty by Roel Pantonial, Milan Simic

Get full text

Ear Biometric Identification based on Gabor Filters using Backpropagation Neural Networks by Ivano Kumaran, Muchtar Ali Setyo Yudono, Alun Sujjada

Get full text

A Review on Structural Development of Magnetorheological Fluid Damper by Xianju Yuan, Tianyu Tian, Hongtao Ling, Tianyu Qiu, Huanli He

Get full text

Video-Based Plastic Bag Grabbing Action Recognition: A New Video Dataset and a Comparative Study of Baseline Models by Pei Jing Low, Bo Yan Ng, Nur Insyirah Mahzan, Jing Tian, Cheung-Chi Leung

Get full text

Prediction of hemolytic peptides and their hemolytic concentration by Anand Singh Rathore, Nishant Kumar, Shubham Choudhury, Naman Kumar Mehta, Gajendra P. S. Raghava

Get full text

A Reconfigurable Coarse-to-Fine Approach for the Execution of CNN Inference Models in Low-Power Edge Devices by Auangkun Rangsikunpum, Sam Amiri, Luciano Ost

“…This approach can reduce energy consumption and inference time by up to 27.2% and 13.2%, respectively, which can greatly benefit resource-constrained applications.…”
Get full text

Rough Sets Data Analysis in Knowledge Discovery: A Case of Kuwaiti Diabetic Children Patients by Aboul ella Hassanien, Mohamed E. Abdelhafez, Hala S. Own

“…The rough set theory is used to identify the most important attributes and to induce decision rules from 302 samples of Kuwaiti diabetic children patients aged 7–13 years old. To increase the efficiency of the classification process, rough sets with Boolean reasoning discretization algorithm is introduced to discretize the data, then the rough set reduction technique is applied to find all reducts of the data which contains the minimal subset of attributes that are associated with a class label for classification. …”
Get full text

Fast Dynamic Time Warping and Hierarchical Clustering with Multispectral and Synthetic Aperture Radar Temporal Analysis for Unsupervised Winter Food Crop Mapping by Hsuan-Yi Li, James A. Lawarence, Philippa J. Mason, Richard C. Ghail

Get full text

Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…In this study, a predictive maintenance (PdM) system focused on feature selection for the detection and classification of simulated defects in wind turbine blades has been developed. …”
Get full text

Predictors associated with Clavien-Dindo complications in lung cancer surgery: A retrospective cohort study. by Mantana Saetang, Thitikan Kunapaisal, Wirat Wasinwong, Parin Boonthum, Bussarin Sriyanaluk, Kanjana Nuanjun

“…The CD grade ≥ II group had longer surgical time (p = 0.002), greater postoperative pulmonary complications (p < 0.001), and longer length of hospital stay (p < 0.001); CD grade ≥ II was more likely in patients with older age (odds ratio [OR]: 1.08, 95% confidence interval [CI]: 1.02-1.15, p = 0.011), COPD (OR: 4.41, 95% CI: 1.55-13.44, p = 0.005) and smoking history (OR: 2.85, 95% CI: 1.12-7.24, p = 0.028), having undergone pneumonectomy (OR: 14.89, 95% CI: 1.71-334.9, p = 0.045), and who converted to open thoracotomy (OR: 16.33, 95% CI: 2.13-169.71, p = 0.007). …”
Get full text

Multi-Sensor Information Fusion with Multi-Scale Adaptive Graph Convolutional Networks for Abnormal Vibration Diagnosis of Rolling Mill by Rongrong Peng, Changfen Gong, Shuai Zhao

Get full text

Investigating the Effect of Wood Ash–Lime Blend in the Stabilization of Reclaimed Asphalt Pavement for Road Construction. by Byamugisha, Mark

Get full text

Patient-Reported Outcomes in Children Undergoing the Modified Green Procedure for Treating Sprengel’s Deformity: Results from a Multicentric Study by Giovanni Trisolino, Paola Zarantonello, Marco Todisco, Giovanni Luigi Di Gennaro, Grazia Chiara Menozzi, Philipp Scheider, Alessandro Depaoli, Diego Antonioli, Gino Rocca, Sebastian Farr

“…Complications were evaluated according to the modified Clavien–Dindo–Sink classification; Results: The mean follow-up was 5 years (range, 1.0–13.6). …”
Get full text

Analisis Kinerja Intrusion Detection System Berbasis Algoritma Random Forest Menggunakan Dataset Unbalanced Honeynet BSSN by Kuni Inayah, Kalamullah Ramli

Get full text

A New Perspective on Hydrogen Chloride Scavenging at High Temperatures for Reducing the Smoke Acidity of PVC in Fires—III: EN 60754-2 and the Species in Solution Affecting pH and C... by Iacopo Bassi, Claudia Bandinelli, Francesca Delchiaro, Gianluca Sarti

Get full text