Porosity Analysis and Thermal Conductivity Prediction of Non-Autoclaved Aerated Concrete Using Convolutional Neural Network and Numerical Modeling by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Diana Elshaeva, Andrei Chernil’nik, Irina Razveeva, Ivan Panfilov, Alexey Kozhakin, Emrah Madenci, Ceyhun Aksoylu, Yasin Onuralp Özkılıç

“…Currently, the visual study of the structure of building materials and products is gradually supplemented by intelligent algorithms based on computer vision technologies. These algorithms are powerful tools for the visual diagnostic analysis of materials and are of great importance in analyzing the quality of production processes and predicting their mechanical properties. …”
Get full text

Surgical Hemostasis for Severe Multisystem Pelvic Injuries by I. V. Kazhanov, A. Y. Demko, V. A. Manukovsky, S. I. Mikityuk, V. A. Reva, E. A. Kolchanov, D. V. Pavlov

“…For the treatment of patients with severe multysistem pelvic trauma accompanied by pelvic bleeding, many algorithms have been proposed that have different procedures for the use of various methods of surgical hemostasis, but none of them may guarantee the complete arrest of pelvic bleeding. …”
Get full text

Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems by Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, Warna Karunasena, Hadi Nourizadeh, Shima Entezam, Shahab Hosseini, Naj Aziz

“…For this purpose, after building the dataset and dividing it randomly into two training and testing datasets, five different XGBoost models were developed: a standalone XGBoost model and four hybrid models incorporating Harris hawk optimisation (HHO), the jellyfish search optimiser (JSO), the dragonfly algorithm (DA), and the firefly algorithm (FA). These models were subsequently evaluated for their ability to predict peak load values. …”
Get full text

Methodology and results of creating 3D models of historical and cultural objects using a smartphone equipped with a LiDAR scanner by I. Kovalchuk, V. Yukhymyuk, V. Bogdanets

“…This algorithm is the basis for a substantiated methodology for creating 3D models of objects of historical, cultural and scientific heritage of Ukraine.In the design of mobile devices, LiDAR technology first appeared on rear cameras in 2020 with the release of the iPad Pro and iPhone 12 Pro/iPhone 12 Pro Max. …”
Get full text

Patterns and risk factors of falls among older adults: a systematic review by Tetiana Yermakova

“…Ten key topics were identified, reflecting two main research algorithms. Conclusions. The analysis identified key risk factors for falls among older adults, including cognitive impairments, reduced sensorimotor function, changes in gait parameters, as well as physiological and external factors. …”
Get full text

Automated detection of hard exudates in retinal fundus images for diabetic retinopathy screening using textural-based radon transform and morphology reconstruction by Esmat Ramezanzadeh, Naser Shoeibi, Akram Feizabadi, Touka Banaee, Mohammad Hossein Bahreyni Tussi, Meysam Tavakoli

“…Method: The proposed algorithm was evaluated on two datasets, DIARETDB1 (89 images) and MUMS-DB (32 images). …”
Get full text

Prediction of coalbed methane productivity based on neural network models by JIN Yi, ZHENG Chenhui, SONG Huibo, MA Jiaheng, YANG Yunhang, LIU Shunxi, ZHANG Kun, NI Xiaoming

“…ObjectivesThe productivity of coalbed methane is mainly affected by geological and engineering factors. …”
Get full text

Selección del periodo para la minimización del hiperperiodo by Vicent Brocal, Patricia Balbastre

“…Palabras clave: Tiempo-real, Modelo, Algoritmos de planificación, Keywords: Real-time, Model, Scheduling algorithms…”
Get full text

The Role of Landscape Metrics and Spatial Processes in Performance Evaluation of GEOMOD (Case Study: Neka River Basin) by Shrif Joorabian Shooshtari, Kamran Shayesteh, Mehdi Gholamalifard, Mahmood Azari, Juan Ignacio López-Moreno

“…Performance evaluation is crucial for land cover change modeling. The main objective of this study is performance evaluation of GEOMOD using landscape metrics and spatial processes in landscape transformation for modeling change patterns of forest cover in Neka River Basin, north of Iran. …”
Get full text

The node importance evaluation method based on graph convolution in multilayer heterogeneous networks by Zhixing Chen, Jian Shu, Linlan Liu

“…Existing node importance evaluation methods are mainly oriented to homogeneous networks, which ignore the heterogeneity of node types and edges. …”
Get full text

Improved Variable Structure Interacting Multimodels for Target Trajectory Tracking and Extrapolation by Xuanming Ren, Xinmin Tang, Yang Zhou, Xiangmin Guan

“…To improve the lengthy computation time of conventional variable structure interacting multiple model (VSIMM) algorithm and increase the precision of target prediction and extrapolation, the target state and flight intent information captured by the Automatic Dependent Surveillance-Broadcast (ADS-B) are used as the model’s prior information; combining this information with VSIMM theoretical framework, we purpose an intent variable structure interacting multiple model (INT-VSIMM) algorithm. …”
Get full text

Comparison between Spectral-domain and Swept-source OCT Angiography Scans for the Measurement of Hyperreflective Foci in Age-related Macular Degeneration by Gissel Herrera, MD, Yuxuan Cheng, PhD, Yamini Attiku, MD, Farhan E. Hiya, MD, Mengxi Shen, MD, PhD, Jeremy Liu, MD, Jie Lu, PhD, Alessandro Berni, MD, Omer Trivizki, MD, Jianqing Li, MD, Robert C. O’Brien, PhD, Giovanni Gregori, PhD, Ruikang K. Wang, PhD, Philip J. Rosenfeld, MD, PhD

“…The total area measurements of the HRF within the 5-mm circle centered on the fovea were obtained from the algorithm using each imaging method. Main Outcome Measures: Agreement of the square root (sqrt) of the HRF total areas obtained from SS-OCTA and SD-OCTA. …”
Get full text

Computability of the Zero-Error Capacity of Noisy Channels by Holger Boche, Christian Deppe

“…Our main result shows that the zero-error capacity of noisy channels is not Banach–Mazur-computable and therefore is also not Borel–Turing-computable. …”
Get full text

Lightweight LDA-UNet for accurate and interpretable visualization of retinopathy of prematurity by Honghao Lu, Madhavi Devaraj

“…Abstract Retinopathy of prematurity (ROP) is one of the main causes of blindness in children. Timely prevention and treatment can effectively control its progression. …”
Get full text

Bulk Heterojunction Organic Solar Cell Area-Dependent Parameter Fluctuation by A. J. Trindade, L. Pereira

“…These results are discussed considering the main influences for the observed efficiency data. …”
Get full text

Aspects of aluminum alloy utilization in vertical cylindrical tank construction by Shuvalov Alexander, Mitrofanov Dmitry, Doroshin Ivan, Kazaryan Ruben

“…Results: The characteristics of aluminum alloy 1915T when used at low temperatures have been revealed. An algorithm for calculating and designing tanks using aluminum alloy 1915T and steel 09G2S as materials has been determined. …”
Get full text

CALCULATION OF A MECHANICAL CHARACTERISTIC OF ELECTRIC TRACTION MOTOR OF ELECTRIC VEHICLE by Phuong Le Ngo, G. I. Gulkov

“…The traction characteristic of an electric vehicle is the main characteristic of mechanical system that reflects its key performance indicators. …”
Get full text

Automatic detection of non-convulsive seizures: A reduced complexity approach by Tazeem Fatma, Omar Farooq, Yusuf U. Khan, Manjari Tripathi, Priyanka Sharma

“…Normalized modified Wilson amplitude is used as a key feature to classify between normal and seizure activity. The main advantage of this study lies in the fact that no classifier is used here and hence algorithm is very simple and computationally fast. …”
Get full text

Simulation of orographic precipitation’s component on the Mount Elbrus example by P. A. Toropov, A. A. Shestakova, J. I. Yarynich, S. S. Kutuzov

“…This means that the proposed model can be used as a tool for conformity between methods of accumulation reconstruction and for substantiation of their physical justification (correctness). In addition, this algorithm can be used to calculate monthly and annual sums of precipitation on mountain slopes of various exposures and to estimate annual accumulation on mountain glaciers.…”
Get full text

A novel approach for energy- and memory-efficient data loss prevention to support Internet of Things networks by Pooya Hejazi, Gianluigi Ferrari

“…In order to successfully cope with the abovementioned issues, two main approaches—data-centric storage and distributed data storage—have been proposed in the literature. …”
Get full text