Anomaly-Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms by Belal Al-Fuhaidi, Zainab Farae, Farouk Al-Fahaidy, Gawed Nagi, Abdullatif Ghallab, Abdu Alameri

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Features of distillation separation of multicomponent mixtures by A. K. Frolkova, A. V. Frolkova, V. M. Raeva, V. I. Zhuchkov

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Enhancing Lithium Titanate Battery Charging: Investigating the Benefits of Open-Circuit Voltage Feedback by Danijel Pavković, Mihael Cipek, Karlo Kvaternik, Nursultan Faiz, Alua Shambilova

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Biomedical Data Analysis Systems for the Diagnosis of Skin Neoplasms by O. O. Myakinin

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Determinants of livestock farmers’ adaptation strategies to climate change in Gandaki province, Nepal by VIKASH KUMAR KC, ANANTA RAJ DHUNGANA, PURNA BAHADUR KHAND, RAJENDRA P UPADHAYAYA, MADHAB P BARAL

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Scheduling External Trucks Appointments in Container Terminals to Minimize Cost and Truck Turnaround Times by Ahmed M. Abdelmagid, Mohamed Gheith, Amr Eltawil

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Ultrahigh-Dimensional Model and Optimization Algorithm for Resource Allocation in Large-Scale Intelligent D2D Communication System by Minxin Liang, Jiandong Liu, Jinrui Tang, Ruoli Tang

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A hybrid ensemble framework with particle swarm optimization for network anomaly detection by Narinder Verma, Neerendra Kumar, Gourav Kumar, Kuljeet Singh

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Machine learning algorithms in constructing prediction models for assisted reproductive technology (ART) related live birth outcomes by Junwei Peng, Xiaoyujie Geng, Yiyue Zhao, Zhijin Hou, Xin Tian, Xinyi Liu, Yuanyuan Xiao, Yang Liu

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Prevalence of road traffic accidents during the COVID-19 pandemic: A systematic review and meta-analysis by Kavous Shahsavarinia, Hanieh Salehi-Pourmehr, Hooman Zafardoust, Sepideh Harzand-Jadidi, Robab Mehdipour, Neda Kabiri

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An annual 30 m cultivated-pasture dataset of the Tibetan Plateau from 1988 to 2021 by B. Han, J. Bi, S. Tao, T. Yang, Y. Tang, M. Ge, H. Wang, Z. Jin, J. Dong, Z. Nan, J.-S. He, J.-S. He

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Sleep quality in older adults with cognitive frailty: current status and influencing factors by Mei He, XiaoLi Yuan, XiaoLing Zhao, Heting Liang, Yuhong Long, Yan Zhang, Dan Meng, Pan Cai

“…Analysis by χ 2 found that factors such as marital status, place of residence, average monthly household income per capita, smoking status, drinking status, types of chronic diseases, degree of anxiety, participation in social activities, and physical exercise showed significant differences in relation to sleep disorders among older adults with CF (p < 0.05). Further analysis by binary logistic regression indicated that living in rural areas (OR = 0.706, 95% CI: 0.537–0.930, p = 0.013), drinking alcohol (OR = 0.584, 95% CI: 0.382–0.893, p = 0.013), an average monthly household income per capita of less than 2,000 yuan (OR = 1.413, 95% CI: 1.070–1.866, p = 0.015), participating in social activities daily (OR = 0.607, 95% CI: 0.381–0.967, p = 0.036), participating in social activities 1–3 times a week (OR = 0.507, 95% CI: 0.377–0.682, p < 0.001), and the state of anxiety (OR = 2.393, 95% CI: 1.831–3.126, p < 0.001) were all independent factors affecting the sleep quality of older adults with cognitive frailty (p < 0.05). …”
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Validation of a deep learning model for cattle lameness detection: Comparison of human scorer performance and automated gait analysis by Sandra Reitmaier, Serhan Narli

“…The system was trained using two strategies: a direct multi-class Random Forest model and a hierarchical model combining binary and multi-class stages. …”
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Predictors of Fetal Attachment, Anxiety, Stress, and Worry in Unintended Pregnancies in the Primary Care Center in Southern Iran by Hajar Tahmasebi, Ruth Nukpezah Nimota, Andrew Fournier, Zohreh Hosseini Marznaki, Ali Mohammad Parviniannasab, Fatemeh Keshavarzi

“…The participants were selected using the two-stage random cluster sampling method from November 2022 to February 2023. …”
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Exploring the value of arterial spin labeling and six diffusion MRI models in differentiating solid benign and malignant renal tumors by Mengmeng Gao, Shichao Li, Guanjie Yuan, Weinuo Qu, Kangwen He, Zhouyan Liao, Ting Yin, Wei Chen, Qian Chu, Zhen Li

“…The mean and peak renal blood flow (RBFmean and RBFpeak) from ASL and fourteen diffusion parameters from mono-exponential DWI (Mono_DWI), intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI), stretched exponential model (SEM), fractional order calculus (FROC), and continuous-time random-walk (CTRW) model were analyzed. Binary logistic regression was used to determine the optimal parameter combinations. …”
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Calibrating multiplex serology for Helicobacter pylori by Emmanuelle A. Dankwa, Martyn Plummer, Daniel Chapman, Rima Jeske, Julia Butt, Michael Hill, Tim Waterboer, Iona Y. Millwood, Ling Yang, Christiana Kartsonaki

“…We discuss these challenges and propose a novel solution to optimize the translation of the continuous measurements from multiplex serology into probabilities of H. pylori infection, using classification algorithms (Bayesian additive regressive trees (BART), multidimensional monotone BART, logistic regression, random forest and elastic net). We (i) calibrate and apply classification models to predict probabilities of H. pylori infection given multiplex measurements, (ii) compare the predictive performance of the models using immunoblot as reference, (iii) discuss reasons for the differences in predictive performance and (iv) apply the calibrated models to gain insights on the relative strengths of infection evidence provided by the various antigens. …”
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Quality of Counselling, Exposure to Vaccination Messages, and Caregivers’ Knowledge on the Uptake of Pentavalent Vaccine in Six Northern Nigerian States by Matthew Alabi, Leanne Dougherty, Eno-Obong Etim, Adebola Adedimeji

“…Penta uptake was coded as binary; hence, binary logistic regression was performed using Stata 14. …”
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Cervical Cancer Prediction Based on Imbalanced Data Using Machine Learning Algorithms with a Variety of Sampling Methods by Mădălina Maria Muraru, Zsuzsa Simó, László Barna Iantovics

“…To identify the best imbalanced technique for this medical dataset, the performances of eleven important resampling methods are compared, combined with the following state-of-the-art ML models that are frequently applied in predictive healtchare research: K-Nearest Neighbors (KNN) (with <i>k</i> values of 2 and 3), binary Logistic Regression (bLR), and Random Forest (RF). …”
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Design and Hardware Implementation of a Highly Flexible PRNG System for NIST-Validated Pseudorandom Sequences by María de Lourdes Rivas Becerra, Juan José Raygoza Panduro, Edwin Christian Becerra Alvarez, Susana Ortega Cisneros, José Luis González Vidal

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Single Valued Neutrosophic Number Ensemble Learning Model for Stability Classification of Open Pit Mine Slopes by Hanzhong Wang, Jun Ye, Rui Yong

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