Predicting troponin biomarker elevation from electrocardiograms using a deep neural network by Truls Råmunddal, Erik Andersson, Zacharias Mandalenakis, Kristofer Skoglund, Araz Rawshani, Elmir Omerovic, Jan Borén, Petur Petursson, Aidin Rawshani, Peter Lundgren, Christian Dworeck, Lukas Hilgendorf, Vibha Gupta, Charlotta Ljungman, Gustav Smith

“…On this dataset, a residual convolutional neural network (ResNet) was trained 10 times, each on a unique split of the data. …”
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Herpes Zoster Burden in Canadian Provinces: A Narrative Review and Comparison with Quebec Provincial Data by Marie-Claude Letellier, Rachid Amini, Vladimir Gilca, Gisele Trudeau, Chantal Sauvageau

“…These publications reported data from eleven studies. Ten studies used provincial databases, and one study used the Canadian Primary Care Sentinel Surveillance Network electronic database. …”
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Online Persian/Arabic Writer Identification using Gated Recurrent Unit Neural Networks by Mahsa Aliakbarzadeh, Farbod Razzazi

“…In this paper, we propose an end-to-end model for online text-independent writer identification on Persian/Arabic online handwritten scripts by using Gated Recurrent Unit (GRU) neural networks. The method does not require any specific knowledge for handwriting data analysis. …”
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A three year review of Tuberculosis surveillance data in Montserrado County, Liberia, 2016-2018 by Alberta Berlynda Corvah, Himiede Wilson Sesay, Delia Akosua Bando, Patrick Konwloh, Benedict Calys-Tagoe, Ernest Kenu

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Innovative Dombi Aggregation Operators in Linguistic Intuitionistic Fuzzy Environments for Optimizing Telecommunication Networks by Dilshad Alghazzawi, Misbah Hayat, Ghaliah Alhamzi, Abdul Wakil Baidar

“…These technologies utilize live and predictive network data to advance the network to its full potential, proactively resolving performance issues prior to the impact on subscribers. …”
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The neural network for measuring IOP by Maklakov method: comparison between neuronal net and experts by A.A. Rascheskov, I.A. Frolychev, N.A. Pozdeeva

“…Polyak (groups II1, II2, II3), the experts’ data were averaged in order to create a «comparison standard» (group IIM) for analysis. …”
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Simulation and Identification of the Habitat of Antarctic Krill Based on Vessel Position Data and Integrated Species Distribution Model: A Case Study of Pumping-Suction Beam Trawl... by Heng Zhang, Yuyan Sun, Hanji Zhu, Delong Xiang, Jianhua Wang, Famou Zhang, Sisi Huang, Yang Li

“…The Convolutional Neural Network–attention model (CNN–attention model) was used to identify the fishing status of the vessel position data of Norwegian pump-suction beam trawlers for Antarctic krill during the fishing seasons from 2021 to 2023. …”
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Self-supervised denoising method for single neutron image based on the S2S-NR network by Wangtao Yu, Peng Xu, Xinghui Cai, Man Zhou, Jie Bao

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Detection and Classification of Abnormal Power Load Data by Combining One-Hot Encoding and GAN–Transformer by Ting Yang, Hongyi Yu, Danhong Lu, Shengkui Bai, Yan Li, Wenyao Fan, Ketian Liu

“…The explosive growth of power load data has led to a substantial presence of abnormal data, which significantly reduce the accuracy of power system operation planning, load forecasting, and energy usage analysis. …”
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INTERBLOCK ZONES IN THE CRUST OF THE SOUTHERN REGIONS OF EAST SIBERIA: TECTONOPHYSICAL INTERPRETATION OF GEOLOGICAL AND GEOPHYSICAL DATA by K. Zh. Seminsky, N. O. Kozhevnikov, A. V. Cheremnykh, E. V. Pospeeva, A. A. Bobrov, V. V. Olenchenko, M. A. Tugarina, V. V. Potapov, R. M. Zaripov, A.S. Cheremnykh

“…Average sizes of the zones, that were crossed by the transect, are estimated from the depth of their penetration into the crust; it is shown that Scale Invariant 2.2 (previously set for estimates of square areas) is valid also for the analysis of volumes of interblock structures. …”
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Assessing the Impact of Calendar Events upon Urban Vehicle Behaviour and Emissions Using Telematics Data by Junjun Xiang, Omid Ghaffarpasand, Francis D. Pope

“…Employing vehicle telematics data, this study investigates the transport environment across urban and major road networks during a two-week period encompassing the Easter holidays, considered as a case study. …”
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An artificial neural network and Levenberg-Marquardt training algorithm-based mathematical model for performance prediction by Farheen Bano, Suhail H. Serbaya, Ali Rizwan, Mohammad Shabaz, Faraz Hasan, Hany S. Khalifa

“…The numerical solutions to this mathematical model and a thorough analysis are included in this study. Four categories – average candidates, poor candidates, below average candidates, and good candidates – are used to build the mathematical model that was built. …”
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Approaches to Proxy Modeling of Gas Reservoirs by Alexander Perepelkin, Anar Sharifov, Daniil Titov, Zakhar Shandrygolov, Denis Derkach, Shamil Islamov

“…The methodology integrates graph neural networks to account for spatial interdependencies between wells with recurrent and convolutional neural networks for time-series analysis. …”
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Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks by Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao

“…Abstract To facilitate rapid and precise predictions of pile bearing capacity, a Back Propagation (BP) neural network model has been developed utilizing data sourced from existing literature. …”
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Intelligent fault diagnosis and operation condition monitoring of transformer based on multi-source data fusion and mining by Jingping Cui, Wei Kuang, Kai Geng, Pihua Jiao

“…Then, the combination of bidirectional long short-term memory network, attention mechanism, and convolution neural network is employed to predict the load rate, upper oil temperature, winding temperature data, and the fusion indices of dissolved gas components in the transformer. …”
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Dynamic sink movement strategy for expedited query processing in Internet of things-based sensor networks by Dongliang Xu

“…Abstract Wireless sensor networks (WSNs) represent an essential infrastructure that supports the Internet of things (IoT) and enables intelligent data collection from various contexts. …”
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Multi-label text classification via secondary use of large clinical real-world data sets by Sai Pavan Kumar Veeranki, Akhila Abdulnazar, Diether Kramer, Markus Kreuzthaler, David Benjamin Lumenta

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Artificial Neural Network (ANN) Modeling of Plasma and Ultrasound-assisted Air Drying of Cumin Seeds by M. Namjoo, M. Moradi, M. A. Nematollahi, H. Golbakhshi

“…Numerical investigations can effectively bypass the challenges associated with experimental analysis. Therefore, the wavelet-based neural network (WNN), the multilayer perceptron neural network (MLPNN), and the radial-basis function neural network (RBFNN), as three well-known artificial neural networks models, were used to map the inputs and output data and the results were compared with the Multiple Quadratic Regression (MQR) analysis. …”
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A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

“…Subsequently, the Gated Recurrent Unit (GRU) network utilizes data from other sensors to reconstruct the IMFs and residuals, ultimately producing the data reconstruction results. …”
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Ensemble Network Graph-Based Classification for Botnet Detection Using Adaptive Weighting and Feature Extraction by Muhammad Aidiel Rachman Putra, Tohari Ahmad, Dandy Pramana Hostiadi, Royyana Muslim Ijtihadie

“…Since botnet attack activity forms a relatively small percentage compared with millions of recorded network flow data, the data is grouped using time gap analysis to handle the imbalance problem. …”
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