A measure of the difference between test sets for generating controlled random tests by V. N. Yarmolik, V. V. Petrovskaya, I. Mrozek

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Binary classification of Low-Rate DoS attacks using Long Short-Term Memory Feed-Forward (LSTM-FF) Intrusion Detection System (IDS) by Suhaila ZeinElabideen Omer, Fazirulhisyam Hashim, Aduwati Sali, Faisul Arif Ahmad

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Response of Olive Trees (Olea europaea L.) cv. Zaity to Bio health and Foliar Spray of Tecamin max and Boron by Araz Siyar Faris, Shaymaa Mahfodh Abdulqader

“…A factorial experiment with three replications was carried out in a randomized complete block design (RCBD), using one tree for each experimental unit. …”
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Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection by A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, M. Murugappan

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Measurement of Vapor Liquid Equilibrium for Difluoromethane (R32) +Fluoroethane (R161) + 2,3,3,3-Tetrafluoroprop-1-ene (R1234yf) by Yang Tao, Hu Xiaozhen, Meng Xianyang, Wu Jiangtao

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COMPARATIVE STUDY OF SURVIVAL SUPPORT VECTOR MACHINE AND RANDOM SURVIVAL FOREST IN SURVIVAL DATA by Ni Gusti Ayu Putu Puteri Suantari, Anwar Fitrianto, Bagus Sartono

“…Random Survival Forest is tree based method that using boostrapping algorithm, and Survival Support Vector Machine using hybrid approaches between regression and ranking constrain. …”
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Analysis of pedestrian crossing violations at an overpass location by using a logit model by Göker Aksoy

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Wake-up timer and binary exponential backoff for ZigBee-based wireless sensor network for flexible movement control system of a self-lifting scaffold by Hua Liang, Guangxiang Yang, Ye Xu, Iqbal Gondal, Chao Wu

“…The variant binary exponential backoff algorithm reduces packet collisions during simultaneous access by increasing the randomizing moments at nodes attempting to access the wireless channels. …”
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PKS 2131−021—Discovery of Strong Coherent Sinusoidal Variations from Radio to Optical Frequencies: Compelling Evidence for a Blazar Supermassive Black Hole Binary by S. Kiehlmann, P. V. de la Parra, A. G. Sullivan, A. Synani, I. Liodakis, P. Mróz, S. K. Næss, A. C. S. Readhead, M. C. Begelman, R. D. Blandford, K. Chatziioannou, Y. Ding, M. J. Graham, F. Harrison, D. C. Homan, T. Hovatta, S. R. Kulkarni, M.L. Lister, R. Maiolino, W. Max-Moerbeck, B. Molina, C. P. O’Dea, V. Pavlidou, T. J. Pearson, M.F. Aller, C. R. Lawrence, T. J. W. Lazio, S. O’Neill, T. A. Prince, V. Ravi, R.A. Reeves, K. Tassis, M. Vallisneri, J. A. Zensus

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Investigating the contributory factors influencing speeding behavior among long-haul truck drivers traveling across India: Insights from binary logit and machine learning technique... by Balamurugan Shandhana Rashmi, Sankaran Marisamynathan

“…While conventional statistical methods like binary logit technique lacked prediction capabilities, machine learning (ML) algorithms including decision tree (DT), random forest (RF), adaptive boosting (AdaBoost), and extreme gradient boosting (XGBoost) were employed to model speeding behavior among LHTDs. …”
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Navigating Mendelian Randomization in Sleep Medicine: Challenges, Opportunities, and Best Practices by BaHammam AS, Jahrami H

“…Ahmed S BaHammam,1,2 Haitham Jahrami3,4 1The University Sleep Disorders Center, Department of Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia; 2King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia; 3Department of Psychiatry, Government Hospitals, Manama, Bahrain; 4Department of Psychiatry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, BahrainCorrespondence: Ahmed S BaHammam, Department of Medicine, College of Medicine, University Sleep Disorders Center, King Saud University, Box 225503, Riyadh, 11324, Saudi Arabia, Tel +966-11-467-9495, Fax +966-11-467-9179, Email ashammam2@gmail.comAbstract: Mendelian randomization (MR) has become an influential method for elucidating causal links between sleep traits and disorders, and health outcomes. …”
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Bernoulli trials and permutation statistics by Don Rawlings

“…The distributions of a general class of random variables known as binary tree statistics are also given.…”
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OPTIMIZING HEART ATTACK DIAGNOSIS USING RANDOM FOREST WITH BAT ALGORITHM AND GREEDY CROSSOVER TECHNIQUE by Safrizal Ardana Ardiyansa, Natasha Clarissa Maharani, Syaiful Anam, Eric Julianto

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Efficient certificateless aggregate signcryption scheme with conditional privacy protection for V2G networks by LIU Jie, FAN Xinyue, HE Jiahui

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Contract farming for vegetable producers: challenges and the way forward in the Central Rift Valley Ethiopia by Abdisa Abe Neme, Tesfaye Lemma Tefera, Bedru Beshir Abdi, Chaneyalew Siyoum Aweke

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Synthesis of Sources of Common Randomness Based on Keystream Generators with Shared Secret Keys by Dejan Cizelj, Milan Milosavljević, Jelica Radomirović, Nikola Latinović, Tomislav Unkašević, Miljan Vučetić

“…In this work, we propose a novel SKD architecture that synthesizes CR by combining a keystream of a shared-key keystream generator <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>K</mi><mi>S</mi><mi>G</mi><mo>(</mo><msub><mrow><mi>K</mi></mrow><mrow><mi>G</mi></mrow></msub><mo>)</mo></mrow></semantics></math></inline-formula> with locally generated binary Bernoulli noise. …”
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Mass, Luminosity, and Stellar Age of Early-type Stars from the LAMOST Survey by Qida Li, Jianping Xiong, Jiao Li, Yanjun Guo, Zhanwen Han, Xuefei Chen, Chao Liu

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An Improved Fault Diagnosis Method for Rolling Bearing Based on Relief-F and Optimized Random Forests Algorithm by Yueyi Yang, Jiabo Zhai, Haiquan Wang, Xiaobin Xu, Yabo Hu, Jinxia Wen

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Protecting Dynamically Obfuscated Scan Chain Architecture from DOSCrack with Trivium Pseudo-Random Number Generation by Jiaming Wu, Olivia Dizon-Paradis, Sazadur Rahman, Damon L. Woodard, Domenic Forte

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Prediction of bacteremia using routine hematological and metabolic parameters based on logistic regression and random forest models by Ting-Qiang Wang, Ying Zhuo, Chun-E Lv, Jing Shi, Ling-Hui Yao, Shi-Yan Zhang, Jinbao Shi

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