Adaptive Weighted Diversity Ensemble Learning Approach for Fetal Health Classification on Cardiotocography Data by K. Aditya Shastry, Mohan Sellappa Gounder, T. G. Mohan Kumar, D. U. Karthik, V. Sushma, D. Subashree

“…EDA provided insights into class distribution and feature correlations, guiding subsequent analysis. Data pre-processing ensured uniformity in model training. The adaptive weighting mechanism in the ensemble module assigns weights based on accuracy scores, with diversity computation ensuring a diverse ensemble capturing various prediction patterns. …”
Get full text

A SIMPLIFIED MODEL OF THREE-PHASE BANK OF CURRENT TRANSFORMERS IN THE DYNAMIC SIMULATION SYSTEM by I. V. Novash, Yu. V. Rumiantsev

“…Thus, the simulation under consideration enables the assessment of technical feasibility of the CT from viewpoint of correct functioning of the relay protective devices during transient processes in the electric energy systems.Employing the model, the authors conduct computational experiments simulating the CT typical operating modes: short-circuit current passage with presence/absence of the direct component and short-circuit current passage with presence of the direct component and residual magnetic induction of the CT. …”
Get full text

Straightness monitoring of scraper conveyor based on CUDA-accelerated dynamic programming and optimized panoramic stitching by LI Bo, SHI Shouyi, ZHANG Jianjun, XIA Rui, WANG Xuewen, CUI Weixiu, NI Qiang

“…CUDA was employed to accelerate the processing by assigning tasks such as Sobel operator reading, gradient computation, total energy difference calculation, loop initialization of weights and paths, and optimal seam finding to different threads. …”
Get full text

Adaptive Transformer-Based Deep Learning Framework for Continuous Sign Language Recognition and Translation by Yahia Said, Sahbi Boubaker, Saleh M. Altowaijri, Ahmed A. Alsheikhy, Mohamed Atri

Get full text

NAIA: A Multi-Technology Virtual Assistant for Boosting Academic Environments—A Case Study by Adrian Pabon Mendoza, Kenneth J. Barrios Quiroga, Samuel D. Solano Celis, Christian M. Quintero

“…The system integrates AI technologies including Large Language Models (LLM), Computer Vision, and voice processing to create an immersive and efficient interaction through animated digital avatars. …”
Get full text

Application of virtual assembly for complex mechanical structures based on digital twin technology by Jin Chuyun, Lin Mu

“…The research aims to develop high-fidelity virtual assembly models that enable precise simulation and optimization of mechanical assembly processes. By integrating multi-level information modeling techniques and incorporating gesture recognition technology to enhance human-computer interaction, the proposed approach significantly improves the efficiency and accuracy of mechanical assembly operations. …”
Get full text

Research and application of water drainage borehole design method based on three-dimensional geological model by Zhenrong WANG

Get full text

PHOTONICS TECHNOLOGY AS A WAY FOR UPGRADING KEY TECHNICAL FEATURES OF RADIO-SIGNAL DELAY DEVICES by T. N. Bakhvalova, M. E. Belkin, I. V. Gladyshev, S. A. Kudzh, A. S. Sigov

“…They include: (1) distributed structure of low-power emitters based on dense wavelength division multiplexing, (2) multicore optical fiber as retarding medium, (3) two-stage processing including optoelectronic repeater unit, and (4) optical recirculation time-delay circuit. …”
Get full text

Advancing non-target analysis of emerging environmental contaminants with machine learning: Current status and future implications by Alexa Canchola, Lillian N. Tran, Wonsik Woo, Linhui Tian, Ying-Hsuan Lin, Wei-Chun Chou

“…However, interpreting the vast datasets generated by HRMS is complex and requires advanced data processing techniques. Recent advancements in machine learning (ML) models offer great potential for enhancing NTA applications. …”
Get full text

Cyberattack Risk Assessment in Electronic banking Technologies (the Case of Software Implementation) by A. A. Berdyugin, P. V. Revenkov

“…The authors investigate the risks of computer attacks on automated banking systems. The relevance of the study is due to the need to revise the approaches to risk assessment based on the technical components of banking business processes and the consequences of cyber-attacks aimed at banking automated systems in credit institutions. …”
Get full text

Non-Newtonian Convective Heat Transfer in Annuli: Numerical Investigation on the Effects of Staggered Helical Fins by Luca Pagliarini, Fabio Bozzoli, Rasoul Fallahzadeh, Sara Rainieri

Get full text

A comprehensive review and future perspectives of simulation approaches in wire arc additive manufacturing (WAAM) by Zhonghao Chen, Lei Yuan, Zengxi Pan, Hongtao Zhu, Ninshu Ma, Donghong Ding, Huijun Li

Get full text

Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning by Mohammad Hossein Sarkhosh, Mohammad Hossein Sarkhosh, Hadis Edrisnia, Mohammad Reza Raveshi, Mahkame Sharbatdar

“…IntroductionUnderstanding the hemodynamics of blood circulation is crucial to reveal the processes contributing to stenosis and atherosclerosis development.MethodComputational fluid dynamics (CFD) facilitates this understanding by simulating blood flow patterns in coronary arteries. …”
Get full text

Numerical modeling and parameter optimization of the combustion chamber in a tower-type zinc refining furnace by Zhengzong Huang, Liu Liu, Lu Chen, Changhong Wang, Guofu Wang, Zhaohong Fan, Hongjie Yan

“…To address this issue, this study conducted a full-scale modeling of the combustion and heat transfer processes in the TZRF combustion chamber using computational fluid dynamics. …”
Get full text

Experimental Demonstration of 40-Gb/s I-SC-FDM With 10G-Class Optics and Low-Complexity DSP for Next-Generation PON by Xizi Tang, Ji Zhou, Mengqi Guo, Jia Qi, Shuangyue Liu, Xuekai Xu, Yueming Lu, Yaojun Qiao

“…At the receiver, the digital signal processing is of low computational complexity since very few taps of joint equalization are needed. 10G-class optics are used both in transmitter and receiver to maintain a low-cost system. …”
Get full text

Targeted K‐Edge Nanoprobes From Praseodymium and Hafnium for Ratiometric Tracking of Dual Biomarkers using Spectral Photon Counting CT by Nivetha Gunaseelan, Parikshit Moitra, Pranay Saha, Teresa Aditya, Mahdieh Moghiseh, Kevin Jonker, Steven Gieseg, Anthony Butler, Fadia Kamal, Dipanjan Pan

“…Abstract Utilizing metal nanoprobes with unique K‐edge identities to visualize complementary biological activities simultaneously can provide valuable information about complex biological processes. This study describes the design and preparation of an innovative pair of K‐edge metal nanoprobes and demonstrates the feasibility of their simultaneous quantitative detection using spectral photon‐counting computed tomography (SPCCT). …”
Get full text

Teatro anatômico digital: práticas de representação do corpo na ciência The digital anatomical theater: scientific practices for representing the body by Marko Monteiro

Get full text

CHANGES IN MICROMORPHOMETRIC PARAMETERS OF VOIDS ALONG THE PROFILE OF ZONAL SOILS IN EUROPEAN RUSSIA by E. B. Skvortsova, K. N. Abrosimov, K. A. Romanenko

“…On the other hand, it makes possible to use the profile of the pore space as a diagnostic parameter of soils and soil formation processes.…”
Get full text

Deep Learning Methods and UAV Technologies for Crop Disease Detection by S. G. Mudarisov, I. R. Miftakhov

“…The paper also addresses challenges associated with the use of unmanned aerial vehicles, such as data quality limitations, the complexity of processing large volumes of images, and the need for the development of more advanced models. …”
Get full text

Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies by Nuray Vakitbilir, Abrar Islam, Alwyn Gomez, Kevin Y. Stein, Logan Froese, Tobias Bergmann, Amanjyot Singh Sainbhi, Davis McClarty, Rahul Raj, Frederick A. Zeiler

“…Analyzing these signals is crucial for understanding complex brain processes, identifying subtle patterns, and detecting anomalies. …”
Get full text