The Influence of Principal's Leadership on Teacher Performance in State Elementary Schools by Almaria Br. Perangin-angin, Juliana, Dyan Wulan Sari HS, Antonius Remigius Abi, Anton Sitepu, Patri Janson Silaban

“…The instrument validation test used the help of data processing results from SPSS version 25.0, while the instrument reliability used the Alpha Cronbach formula. …”
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Network intrusion detection method based on VAE-CWGAN and fusion of statistical importance of feature by Taotao LIU, Yu FU, Kun WANG, Xueyuan DUAN

“…Considering the problems of traditional intrusion detection methods limited by the class imbalance of datasets and the poor representation of selected features, a detection method based on VAE-CWGAN and fusion of statistical importance of features was proposed.Firstly, data preprocessing was conducted to enhance data quality.Secondly, a VAE-CWGAN model was constructed to generate new samples, addressing the problem of imbalanced datasets, ensuring that the classification model no longer biased towards the majority class.Next, standard deviation, difference of median and mean were used to rank the features and fusion their statistical importance for feature selection, aiming to obtain more representative features, which made the model can better learn data information.Finally, the mixed data set after feature selection was classified through a one-dimensional convolutional neural network.Experimental results show that the proposed method demonstrates good performance advantages on three datasets, namely NSL-KDD, UNSW-NB15, and CIC-IDS-2017.The accuracy rates are 98.95%, 96.24%, and 99.92%, respectively, effectively improving the performance of intrusion detection.…”
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Interpolation methods for creating a scatter radiation exposure map by Elicardo Alves de Souza Goncalves, Celio Simonacci Gomes, Luis Fernando Oliveira, Marcelino Jose Anjos, Davi Ferreira Oliveira, Ricardo Tadeu Lopes

“…The computational and graphic treatment was performed with GNU OCTAVE software and its image processing package. The data were acquired from a bunker where a 6MeV betatron was used as a primary source. …”
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LABOR PRODUCTIVITY IN ROMANIA'S AGRICULTURE IN THE PERIOD 2011-2020 AND ITS FORECAST FOR 2021-2025 HORIZON by Agatha POPESCU, Cristiana TINDECHE, Alina MĂRCUȚĂ, Liviu MĂRCUȚĂ, Adelaida HONȚUȘ

“…The paper analyzed labor productivity in Romania's agriculture in the period 2011-2020 and established the forecast for 2021-2025 horizon using the Eurostat data. The processing procedures included fixed basis index, average growth rate, average annual growth, regression models, determination coefficient, descriptive statistics (mean standard deviation and variation coefficient), comparison methods and forecast modeling. …”
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The Best Measurement of Tax Aggressiveness in Predicting Corporate Risk by Verani Carolina, O Oktavianti

“…This study used a sample of manufacturing companies listed on the Indonesia Stock Exchange. The data processing method used is Confirmatory Factor Analysis to see which measurement is the best in predicting corporate risk. …”
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The Performance of Venturi Microbubble Generator Type with a 60° Twisted Baffles by Fatma Roshanti, Sigit Deddy Purnomo Sidhi, Samsul Kamal, Deendarlianto, Indarto

“…The data were analyzed by MATLAB R2022b with the technique image processing method. …”
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A security authentication scheme in RFID system for smart park by Rongrong LI, Jiantao KOU, Gang DONG, Liangrui TANG

“…There exist many security vulnerabilities in device’s identity verification and the information transmition through RFID system，the computations and procedures in the classical RFID authentication protocols are so complex that will impose processing burdens on the data base or readers，leading to the problem of low effective information rate. …”
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Prediction of high-risk pregnancy based on machine learning algorithms by Xinyu Pi, Junzhi Wang, Liangliang Chu, Guochun Zhang, Wenli Zhang

“…With the computational support of an NVIDIA GPU RTX3050Ti, the model demonstrated excellent data processing capabilities, capable of predicting and processing 500 sets of data items per second. …”
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Dynamic and static analysis of environmental variables in coronavirus spread by Mirko Di Stefano, Leonardo Aragão, Giuseppe Ambrosio, Diego Ciangottini, Cristina Duma, Pasquale Lubrano, Barbara Martelli, Davide Salomoni, Giusy Sergi, Daniele Spiga, Fabrizio Stracci, Elisabetta Ronchieri, Loriano Storchi, Sara Cutini

“…Abstract Although a worldwide health crisis, the COVID-19 pandemic affected several geographical areas in Italy in very different ways in terms of infection rate, morbidity, and death. In the present work, we carefully studied the incidence rate in several Italian provinces and propose a complete data analysis strategy to explore, preprocess, and analyse the time series of COVID-19 positive and hospitalised cases with a daily cadency. …”
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Demonstration of 50 Gbps Long-Haul D-Band Radio-over-Fiber System with 2D-Convolutional Neural Network Equalizer for Joint Phase Noise and Nonlinearity Mitigation by Yachen Jiang, Sicong Xu, Qihang Wang, Jie Zhang, Jingtao Ge, Jingwen Lin, Yuan Ma, Siqi Wang, Zhihang Ou, Wen Zhou

“…This methodology allows for the extraction of intricate features from data preprocessed using traditional Digital Signal Processing (DSP) techniques, enabling concurrent compensation for phase noise and nonlinear distortions. …”
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Weld seam location with adaptive fracture repair on minor-caliber pipe by Yong Yan, Jingyu Zhang, Lingjiang Guo, Heming Zhao, Fan Zhang

“…The framework consists of three primary stages: (1) Image preprocessing utilizes a hybrid median filter and fixed threshold segmentation to enhance contrast, suppress salt-and-pepper noise, and preserve edge details. (2) Centerline extraction employs an improved maximal disk-based skeleton algorithm to generate single-pixel-width centerlines, followed by Freeman chain code tracking and data storage. …”
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Integrated Correction of Nonlinear Dynamic Drift in Terrestrial Mobile Gravity Surveys: A Comparative Study Based on the Northeastern China Gravity Monitoring Network by Zhaohui Chen, Jinzhao Liu

“…A comprehensive correction framework—integrating a gravimetric line drift rate computation, multi-model validation, and absolute datum cross-validation—reveals gravity value discrepancies up to ±10 μGal across models. …”
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A predictive analytics approach with Bayesian-optimized gentle boosting ensemble models for diabetes diagnosis by Behnaz Motamedi, Balázs Villányi

“…Two Kaggle datasets—a diabetes dataset from multiple healthcare providers and a Survey Lung Cancer dataset from existent medical records—are utilized. Data preprocessing involves outlier removal, min–max normalization, class balancing, and Pearson correlation-based feature selection. …”
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Ensemble stacked model for enhanced identification of sentiments from IMDB reviews by Komal Azim, Alishba Tahir, Mobeen Shahroz, Hanen Karamti, Annia Almeyda Vazquez, Angel Rojas Vistorte, Imran Ashraf

“…The Urdu hack library was used to preprocess the Urdu data, which includes preprocessing operations including normalizing individual letters, merging them, including spaces, etc. concerning punctuation. …”
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Predictive Modeling of Heart Failure Outcomes Using ECG Monitoring Indicators and Machine Learning by Jia Liu, Dan Zhu, Lingzhi Deng, Xiaoliang Chen

“…The top predictors included ST depression (Oldpeak), maximum heart rate (MaxHR), ST‐segment slope, and serum cholesterol. …”
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Classification of Ship Type from Combination of HMM–DNN–CNN Models Based on Ship Trajectory Features by Dae-Woon Shin, Chan-Su Yang

“…For model optimization, both ship datasets were transformed into various formats corresponding to multiple models, incorporating data enhancement and augmentation approaches. Speed over ground, course over ground, rate of turn, rate of turn in speed, berth distance, latitude/longitude, and heading were used as input parameters. …”
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Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification. by Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

“…The proposed method incorporates three key stages: preprocessing, segmentation of lesions, and classification of lesions. …”
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Frontal Anatomical Correlates of Cognitive and Speech Motor Deficits in Amyotrophic Lateral Sclerosis by Yana Yunusova, Jamal Ansari, Joel Ramirez, Sanjana Shellikeri, Greg J. Stanisz, Sandra E. Black, Susan M. Gillingham, Alex Kiss, Donald T. Stuss, Lorne Zinman

“…Partial least square regressions (PLS) were used to predict behavioral (cognitive and speech rate) outcomes using volumetric measures. The data supported the overall hypothesis that distinct behavioral changes in cognition and speaking rate in ALS were related to specific regional neurostructural brain changes. …”
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Machine learning-based prediction of 6-month functional recovery in hypertensive cerebral hemorrhage: insights from XGBoost and SHAP analysis by Menghui He, Zhongsheng Lu, Yiwei Lv, Zihai Cheng, Qiang Zhang, Xiaoqing Jin, Pei Han

“…After data preprocessing, data from June 2020 to December 2023 (n = 716) were randomly split into training (n = 497) and test sets (n = 219) at a 7:3 ratio. …”
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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Then, domain-specific features related to network traffic patterns, including packet size distribution, packet count, and packet rate, were extracted. Statistical measures, including mean, variance, and entropy, were calculated from these features to determine temporal and spatial variations in the network data. …”
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