Beyond averaging: A transformer approach to decoding event related brain potentials by Philipp Zelger, Manuel Arnold, Sonja Rossi, Josef Seebacher, Franz Muigg, Simone Graf, Antonio Rodríguez-Sánchez

“…Our investigation focuses on determining whether a transformer-based deep learning approach, specifically utilizing attention maps, an essential component of transformer networks, can provide deeper insights into ERP data compared to traditional averaging-based analyses.We investigated the data of an experiment on loudness perception. …”
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Prediction of the Next Solar Rotation Synoptic Maps Using an Artificial Intelligence–based Surface Flux Transport Model by Hyun-Jin Jeong, Mingyu Jeon, Daeil Kim, Youngjae Kim, Ji-Hye Baek, Yong-Jae Moon, Seonghwan Choi

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Connectivity Analysis of Millimeter-Wave Device-to-Device Networks with Blockage by Haejoon Jung, In-Ho Lee

“…Through analysis and simulation, we show that, as the network size increases, PFC and γ decrease. …”
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COMPARISON OF ANN METHOD AND LOGISTIC REGRESSION METHOD ON SINGLE NUCLEOTIDE POLYMORPHISM GENETIC DATA by Adi Setiawan, Rachel Wulan Nirmalasari Wijaya

“…The scoring is based on the smallest alphabetical order given a low score. The average accuracy, precision, recall and F1 score were determined using the neural network method if the genetic code was used with variations in the proportion of test data 10%, 20%, 30% and 40% and repeated B = 1000 times. …”
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Enhancing smart healthcare networks: Integrating attribute-based encryption for optimization and anti-corruption mechanisms by Yanzhao Zeng, Xin Guan, Jingjing Sun, Yanrui Chen, Zeyu Wang, Peng Nie

“…The study provides a comprehensive analysis of current vulnerabilities in these networks, identifying potential data security risks. …”
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Effects of missing data imputation methods on univariate blood pressure time series data analysis and forecasting with ARIMA and LSTM by Nicholas Niako, Jesus D. Melgarejo, Gladys E. Maestre, Kristina P. Vatcheva

“…We evaluated the prediction performance of autoregressive integrated moving average (ARIMA) and long short-term memory (LSTM) network models on imputed time series data using ten different imputation techniques. …”
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A novel robust network construction and analysis workflow for mining infant microbiota relationships by Wei Jiang, Yue Zhai, Dongbo Chen, Qinghua Yu

“…This methodology could also be applied to future studies of genomic, metabolic, and proteomic data.IMPORTANCEAs a research method and strategy, network analysis holds great potential for mining the relationships of bacteria. …”
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Leveraging Spatial and Temporal Data to Predict Heavy Freight Vehicle Traffic Flow on Rural Road Network by Alireza Gholami, Seyedehsan Seyedabrishami

“…The results indicate that while the seasonal autoregressive integrated moving average with exogenous variables (SARIMAX) model performs well on the training data, it exhibits limitations in predicting test data. …”
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Data-Driven Optimization Method for Recurrent Neural Network Algorithm: Greenhouse Internal Temperature Prediction Model by Kwang Cheol Oh, Sunyong Park, Seok Jun Kim, La Hoon Cho, Chung Geon Lee, Dae Hyun Kim

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A spatial clustering-based approach to design monitoring networks of infectious diseases: a case study of hand, foot, and mouth disease by Shuting Li, Yuanhua Liu, Ke Li, Zengliang Wang, Michael P. Ward, Wei Tu, Jiayao Xu, Rui Yuan, Lele Zhang, Na Wang, Jidan Zhang, Yu Zhao, Henry S. Lynn, Zhaorui Chang, Zhijie Zhang

“…Methods To improve monitoring efficiency for hand, foot, and mouth disease (HFMD), we used SCSS to design a monitoring network, which involved four main steps. First, we used Spatial Kluster Analysis by Tree Edge Removal (SKATER) to stratify the data. …”
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Komparasi Data Mining Naive Bayes dan Neural Network memprediksi Masa Studi Mahasiswa S1 by Azahari Azahari, Yulindawati Yulindawati, Dewi Rosita, Syamsuddin Mallala

“…Lama masa studi setiap mahasiswa bisa disebabkan dengan berbagai faktor.  Dengan  menggunakan data mining algoritma naive bayes dan neural network dapat  dilakukan  prediksi  kelulusan  mahasiswa di  STMIK  Widya  Cipta  Dharma (WiCiDa) Samarinda . …”
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Cybersecurity Challenges in PV-Hydrogen Transport Networks: Leveraging Recursive Neural Networks for Resilient Operation by Lei Yang, Saddam Aziz, Zhenyang Yu

“…This paper explores the intricate dynamics of cybersecurity in PV-powered hydrogen vehicle networks, focusing on the real-time challenges posed by cyber threats such as False Data Injection Attacks (FDIAs) and their impact on network operations. …”
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Comparative Analysis of Machine Learning Algorithms and Statistical Techniques for Data Analysis in Crop Growth Monitoring with NDVI by M. Arunachalam, S. Sekar, A. M. Erdmann, V. V. Sajith Variyar, R. Sivanpillai

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EVOLUTION OF WIRELESS (CELLULAR) COMMUNICATION NETWORKS by L. F. Chernogor, M. B. Shevelev

“…Results. Using average data on the parameters of 1G to 5G communication networks and 6G in development, we have built regression models representative of the evolution of information transfer rates and data transmission durations until the year 2050. …”
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The work of rails under conditions of various average static axial loads of rolling stock by M. I. Titarenko

“…The features of the change in the intensity of rail failure are considered at all stages of their operation, both for the specified and for the average network level of the static load. The obtained statistical data on the effect of axial loads of rolling stock on the operation of rails can be used in the practice of track maintenance. …”
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Analysis and Research on Intelligent Logistics Data under Internet of Things and Blockchain by Yige Li

“…First, BC is adopted to improve the ILS under IoT, and ILS under IoT combined with BC is established. Next, an analysis of the relationship between the information service provider and the transportation provider in the logistics transaction process is conducted to perform data analysis and to establish an incentive mechanism for logistics transportation under BC. …”
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Data analysis and evaluation of road weather information system integrated in Lithuania by Alfredas Laurinavičius, Donatas Čygas, Kęstutis Čiuprinskas, Lina Juknevičiūtė

“…It also enables to collect external data on the weather conditions, which, upon its statistical analysis, can be used for road design, construction, repair and maintenance.…”
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Transcriptome profiling and co-expression network analysis of 96 Haematococcus pluvialis samples by Bin Hu, Kai Liu, Feichao Du, Hailiang Xing, Xiaoyuan Su, Tao Hu, Feng Chen, Yujie Qin, Zhaozhen Dong, Xue Sun, Liuquan Zhang, Jagroop Pandhal, Nianjun Xu, Chaoyang Hu

“…Gene expression was quantified as transcripts per million (TPM), and genes with similar expression patterns were clustered. A co-expression network, constructed with a soft threshold of β = 7 (R² > 0.9), identified 39 co-expression modules, each averaging 732 genes. …”
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Trust Region Policy Learning for Adaptive Drug Infusion with Communication Networks in Hypertensive Patients by Mai The Vu, Seong Han Kim, Ha Le Nhu Ngoc Thanh, Majid Roohi, Tuan Hai Nguyen

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Description of network meta-analysis geometry: A metrics design study. by Fernanda S Tonin, Helena H Borba, Antonio M Mendes, Astrid Wiens, Fernando Fernandez-Llimos, Roberto Pontarolo

“…<h4>Background</h4>The conduction and report of network meta-analysis (NMA), including the presentation of the network-plot, should be transparent. …”
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