Long-Term Prediction of Biological Wastewater Treatment Process Behavior via Wiener-Laguerre Network Model by Yasaman Sanayei, Naz Chaibakhsh, Ali Chaibakhsh, Ali Reza Pendashteh, Norli Ismail, Tjoon Tow Teng

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Time-Dependent Reliability Analysis of Fracture Failure of Corroded Cast Iron Water Pipes and Bayesian Updating for Lifetime Prediction by Jian Ji, Xiaolei Xie, Guoyang Fu, Jayantha Kodikara

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Initiation and intensification of antihyperglycemic therapy in type 2 diabetes mellitus: Update of Russian Association of Endocrinologists expert consensus document (2015) by Ivan Ivanovich Dedov, Marina Vladimirovna Shestakova, Alexander Sergeevich Ametov, Mikhail Borisovich Antsiferov, Gagik Radikovich Galstyan, Alexander Yur'evich Mayorov, Ashot Musaelovich Mkrtumyan, Nina Alexandrovna Petunina, Olga Yur'evna Sukhareva

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Advanced intrusion detection in internet of things using graph attention networks by Aamir S. Ahanger, Sajad M. Khan, Faheem Masoodi, Ayodeji Olalekan Salau

“…Abstract Internet of Things (IoT) denotes a system of interconnected devices equipped with processors, sensors, and actuators that capture and exchange meaningful data with other smart systems. IoT technology has been successfully applied across various sectors, including agriculture, supply chain management, education, healthcare, traffic control, and utility services. …”
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Detect Multi Spoken Languages Using Bidirectional Long Short-Term Memory by Fawziya Ramo, Mohammed Kannah

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Online Behavior Analysis-Based Student Profile for Intelligent E-Learning by Kun Liang, Yiying Zhang, Yeshen He, Yilin Zhou, Wei Tan, Xiaoxia Li

“…Adopting the similarity computation and Jaccard coefficient algorithm, we designed a system model to clean and dig into the educational data and also the students’ learning attitude and the duration of learning behavior to establish student profile. …”
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Advanced evaluation of performance of machine learning models for soapstock splitting optimisation under uncertainty by Bartosz Szeląg, Krzysztof Barbusiński, Michał Stachura, Przemysław Kowal, Adam Kiczko, Eldon R. Rene

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Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

“…This study aims to identify the best deep learning and machine learning models to identify the unethical behavior patterns of learners using distance education exam data of an educational institution. …”
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Evaluating the efficiency of teaching basic cardiopulmonary resuscitation among medical university students in Ukraine by H.Yu. Tsymbaliuk, A.M. Chervatiuk, V.O. Krylyuk

“…A survey of 1239 third-year students from 13 medical universities in Ukraine, subordinated to the Ministry of Health of Ukraine, was conducted to collect data on their satisfaction with the educational process and confidence in preparedness to perform BCPR. …”
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IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning by U. A. Vishniakou, Xia YiWei

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Predicting the Activity Level of the Great Gerbil (Rhombomys opimus) via Machine Learning by Fan Jiang, Peng Peng, Zhenting Xu, Yu Xu, Ding Yang, Shouquan Chai, Shuai Yuan, Limin Hua, Dawei Wang, Xuanye Wen

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Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

“…Due to that this study aimed to predict short birth interval and associated factors among women (15–49) in Ethiopia using ensemble learning algorithms. Methods A secondary data analysis of Ethiopian demographic health servey from 2016 to 2019 was performed. a total of weighted sample of 12,573 women in the reproductive age group was included in this study. …”
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Prevalence of Orthosomnia in a General Population Sample: A Cross-Sectional Study by Haitham Jahrami, Khaled Trabelsi, Waqar Husain, Achraf Ammar, Ahmed S. BaHammam, Seithikurippu R. Pandi-Perumal, Zahra Saif, Michael V. Vitiello

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Combinations of multimodal neuroimaging biomarkers and cognitive test scores to identify patients with cognitive impairment by Yuriko Nakaoku, Soshiro Ogata, Kiyotaka Nemoto, Chikage Kakuta, Eri Kiyoshige, Kanako Teramoto, Kiyomasa Nakatsuka, Gantsetseg Ganbaatar, Masafumi Ihara, Kunihiro Nishimura

“…Finally, MCI identification models were developed using a penalized logistic regression model with an elastic net algorithm.ResultsAmong the 148 participants (mean age, 78.6 ± 5.2 years), 44.6% were identified as having MCI. …”
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Machine Learning and Neural Networks for IT-Diagnostics of Neurological Diseases by U. A. Vishniakou, Y. W. Xia, Ch. Y. Yu

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Interpretable XGBoost model identifies idiopathic central precocious puberty in girls using four clinical and imaging features by Lu Tian, Yan Zeng, Helin Zheng, Jinhua Cai

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Comparison of Spatial Predictability Differences in Truck Activity Patterns: An Empirical Study Based on Truck Tracking Dataset of China by Lianghua Li, Peng Du, Guohua Jiao, Xin Fu

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The use of technical vision in flexible production systems to determine coordinates of randomly located objects by K. V. Averkov, D. S. Makashin

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The role of magnetic resonance imaging in radiation Diagnosis of abdominal aortic aneurysm by S. S. Saidov, S. K. Skul'skiy, N. P. Morozova, Ya. A. Lubashev, V. A. Ratnikov

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Investigation of combustion patterns in furnace type chemical reactor with non-stoichiometric combustion of fuel in the Ansys CFX software package by P. A. Batrakov, D. G. Mumladze

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