H∞ Control for Network-Based 2D Systems with Missing Measurements by Bu Xuhui, Wang Hongqi, Zheng Zheng, Qian Wei

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Decoding Lung Cancer Radiogenomics: A Custom Clustering/Classification Methodology to Simultaneously Identify Important Imaging Features and Relevant Genes by Destie Provenzano, John P. Lichtenberger, Sharad Goyal, Yuan James Rao

“…The algorithm was run as follows: (1) genetic clusters were initialized using random clusters, binary matrix factorization, or k-means; (2) image classification was run on CT data for these genetic clusters; (3) misclassified subjects were re-classified based on the image classification algorithm; and (4) the algorithm was run until an accuracy of 90% or no improvement after 10 runs. …”
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Challenges and Opportunities for the Agricultural Producers in Sinana District in Reflection of COVID-19 Pandemic by Meskerem Abebe, Alemayehu Legesse, Fekadu Gadisa, Munira Hussen

“…The data were analyzed using multilevel binary logistic random intercept regression models with maximum-likelihood parameter estimation. …”
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A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing by Md. Alamin Talukder, Md. Ashraf Uddin, Suman Roy, Partho Ghose, Smita Sarker, Ansam Khraisat, Mohsin Kazi, Md Momtazur Rahman, Musawer Hakimi

“…Additionally, to mitigate class imbalance, Random OverSampling (ROS) is employed, leading to significant improvements in model performance. …”
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Fall Detection Using Federated Lightweight CNN Models: A Comparison of Decentralized vs. Centralized Learning by Qasim Mahdi Haref, Jun Long, Zhan Yang

“…The models were trained using three random seeds to ensure result robustness and stability across varying data partitions. …”
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Determinants of household-level food and nutrition security in wheat farmers of Arsi Zone, Ethiopia by Mustefa Bati Geda, Jema Haji Mohammed, Kedir Jemal Ibrahim, Fresenbet Zeleke Abshiro

“…Hence, determining the variables influencing the food and nutrition security of wheat farmers in Arsi Zone of Ethiopia’s was the aim of this study. A random sampling technique was used to collect primary data from 422 households spread over three districts. …”
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Exploring Voice Acoustic Features Associated with Cognitive Status in Korean Speakers: A Preliminary Machine Learning Study by Jiho Lee, Nayeon Kim, Ji-Wan Ha, Kyunghun Kang, Eunhee Park, Janghyeok Yoon, Ki-Su Park

“…Four machine learning models were tested for three binary classification tasks. Voice acoustic features were extracted and analyzed. …”
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Plant leaf classification using the multiscale entropy of curvature and feature aggregation by Raphael G. Pinheiro, José G.F. Lopes, Marcelo M.S. Souza, Fátima N.S. Medeiros

“…The texture descriptor combines the statistics of the local binary pattern and gray-level co-occurrence matrix. …”
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Overweight and obesity among Saudi university students and their relationships with various lifestyle habits: a cross-sectional study by Gamil Ghaleb Alrubaiee, Talal Ali Alqalah, Sameer A Alkubati, Nabil A Al-Rabeei

“…Methods A descriptive cross-sectional study was conducted between January and March 2023. A random sample of 420 students aged 21–26 years was selected with a male-to-female ratio of 0.99:1. …”
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Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

“…One hundred twenty-nine online exam data were analyzed by the researcher with three different scenarios to reveal the best model performance in regression and classification. …”
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Comparison of extractive distillation flowsheets for methanol–tetrahydrofuran–water mixtures by V. M. Raeva, A. M. Dubrovsky

“…The flowsheets consist of three (schemes I–III) or four (scheme IV) distillation columns operating at atmospheric pressure. …”
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The value of MRI-based radiomics and clinicoradiological data for the detection of forkhead box protein A1 gene mutated prostate cancer by Lin Deng, Ruchuan Chen, Bingni Zhou, Guoqing Hu, Hualei Gan, Ling Zhang, Liangping Zhou, Kefu Liu, Xiaohang Liu

“…Totally 367 prostate cancer patients (109 with FOXA1 mutations and 258 without) from three centers underwent multiparametric MRI. Patients from Center 1 (n = 236) were randomly divided into training and internal validation sets (7:3). …”
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Chorioamnionitis and its associated factors among women admitted to the maternity unit of Public Hospitals in Addis Ababa, Ethiopia. by Tadios Niguss Derese, Mekdes Dereje Wondafrash, Abel Melese Teka, Hiwot Soboksa Mideksa, Lidia Dagne Mario, Tsegaye Gebreyes Hundie, Robel Bayou Tilahun, Abel Abebe Demie

“…Significance was set at p < 0.05 with a 95% confidence interval, and data were presented in tables and graphs.A total number of 356 patient's data were analysed and the proportion of patients with Chorioamnionitis was found to be 21.3%. After adjustment for possible confounders on multi-variable binary logistic regression analysis age < 25 years [AOR = 0.26, 95% CI (0.09-0.72)], having premature rupture of membrane [AOR = 2.24, 95% CI (1.05-4.78)], duration of labor < 12 hour [AOR = 0.10, 95% CI (0.04-0.24)], and having urinary tract infection [AOR = 3.54, 95% CI (1.72-7.27)] were the significant variable associated with Chorioamnionitis. …”
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Multiple machine learning algorithms identify 13 types of cell death-critical genes in large and multiple non-alcoholic steatohepatitis cohorts by Renao Jiang, Longfei Dai, Xinjian Xu, Zhen Zhang

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Supervised Machine Learning for Real-Time Intrusion Attack Detection in Connected and Autonomous Vehicles: A Security Paradigm Shift by Ahmad Aloqaily, Emad E. Abdallah, Hiba AbuZaid, Alaa E. Abdallah, Malak Al-hassan

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H∞ ILC Design for Discrete Linear Systems with Packet Dropouts and Iteration-Varying Disturbances by Bu Xuhui, Zhang Hongwei, Song YunZhong, Yu Fashan

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hdpGLM: An R Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process by Diogo Ferrari

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Deterministic and Stochastic Machine Learning Classification Models: A Comparative Study Applied to Companies’ Capital Structures by Joseph F. Hair, Luiz Paulo Fávero, Wilson Tarantin Junior, Alexandre Duarte

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Research on mechanisms for optimizing the risk resistance capability of hypernetworks by Lei Chen, Xiujuan Ma, Fuxiang Ma, Yalan Li

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Machine learning-based classification of valvular heart disease using cardiovascular risk factors by Muhammad Usman Aslam, Songhua Xu, Sajid Hussain, Muhammad Waqas, Nafiu Lukman Abiodun

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