Prediction of mung bean production using machine learning algorithms by Azanu Mirolgn Mequanenit, Aleka Melese Ayalew, Ayodeji Olalekan Salau, Eyerusalem Alebachew Nibret, Million Meshesha

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Machine Learning in the National Economy by Azamjon A. Usmonov

“…The main methods include an analysis of scientific literature, statistical data analysis, modeling using machine learning algorithms, and practical implementation of economic models with programming languages such as Python and machine learning libraries.To analyze economic data, methods such as linear regression, decision trees, and neural networks were selected, as they effectively predict changes in key macroeconomic indexes such as GDP, inflation, exchange rates, and unemployment levels. …”
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Regional Photovoltaic Consumption Control Strategy Based on Non-MPPT Algorithm by Geng NIU, Lingfeng KOU, Xiaogang HOU, Xiaoyun QU, Hui XIE, Bo GAO

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A simple and efficient algorithm for genome‐wide homozygosity analysis in disease by Wei Liu, Jinhui Ding, Jesse Raphael Gibbs, Sue Jane Wang, John Hardy, Andrew Singleton

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Positioning Guselkumab in The Treatment Algorithm of Patients with Crohn’s Disease by D'Amico F, Bencardino S, Magro F, Dignass A, Gutiérrez Casbas A, Verstockt B, Hart A, Armuzzi A, Peyrin-Biroulet L, Danese S

“…Ferdinando D’Amico,1,* Sarah Bencardino,1,* Fernando Magro,2 Axel Dignass,3 Ana Gutiérrez Casbas,4 Bram Verstockt,5 Ailsa Hart,6 Alessandro Armuzzi,7,8 Laurent Peyrin-Biroulet,9 Silvio Danese1 1Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Milan, Italy; 2CINTESIS@RISE, Faculty of Medicine of the University of Porto, Porto, Portugal; 3Department of Medicine I, Agaplesion Markus Hospital, Goethe University, Frankfurt/Main, Germany; 4Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, España; Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, España; 5Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, KU, Belgium; 6Inflammatory Bowel Disease Unit, St Mark’s Hospital, LNWUH NHS Trust, Harrow, UK; 7IBD Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy; 8Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy; 9Department of Gastroenterology, INFINY Institute, INSERM NGERE, CHRU Nancy, Vandœuvre-lès-Nancy, F-54500, France*These authors contributed equally to this workCorrespondence: Silvio Danese, Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Tel +390226432069, Fax +390282242591, Email sdanese@hotmail.comAbstract: Guselkumab, a selective interleukin-23 (IL-23) inhibitor, has emerged as a promising biologic therapy for the management of patients with moderate-to-severe Crohn’s disease (CD) and has been recently approved for its treatment. …”
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Car Price Prediction and Recognition Using Deep Learning and Computer Vision Algorithms by Hira Farman, Saad Ahmed, Muhammad Hussain Mughal, Qurat -ul-ain Mastoi, Govari Shankar Lalwani

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Fuzzy Decision-Making Analysis of Quantitative Stock Selection in VR Industry Based on Random Forest Model by Jia-Ming Zhu, Yu-Gan Geng, Wen-Bo Li, Xia Li, Qi-Zhi He

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Coverage Enhancement Algorithms for Distributed Mobile Sensors Deployment in Wireless Sensor Networks by Muhammad Sirajo Aliyu, Abdul Hanan Abdullah, Hassan Chizari, Thabit Sabbah, Ayman Altameem

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Development of Algorithms and Software Systems for Motion Control of a Robotic Tillage Unit by Yakov P. Lobachevsky, Sergey E. Lonin, Ilya S. Alekseev, Nikolay T. Goncharov, Irina I. Afonina, Ekaterina N. Il'chenko

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ANALISIS JENIS BUDIDAYA TEBU MENGGUNAKAN ALGORITMA RANDOM FOREST (STUDI KASUS KECAMATAN TAJINAN, KABUPATEN MALANG) by Muhammad Nurhadi, Prima Widayani, Sandy Budi Wibowo

“…To address this issue, this research utilized the Random Forest (RF) algorithm on PlanetScope satellite imagery to classify the types of sugarcane cultivation, i.e. early planted sugarcane and pressed sugarcane. …”
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A dynamic programming algorithm for generating chemical isomers based on frequency vectors by Ryota Ido, Naveed Ahmed Azam, Jianshen Zhu, Hiroshi Nagamochi, Tatsuya Akutsu

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Prognostic algorithm for early diagnosis of subcritical conditions as predictors of sudden cardiac death by A. V. Bykov, P. S. Azarova, S. A. Parkhomenko, A. V. Bykov, A. V. Polyakova, M. V. Alymova, A. V. Vinnikov

“…The basis is to improve the efficiency of predictive algorithms.Material and methods. This pilot, controlled, open-label, randomized, prospective clinical trial included 220 patients at risk of SCD and 150 patients without risk of SCD. …”
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A New Encryption Algorithm Utilizing DNA Subsequence Operations for Color Images by Saeed Mirzajani, Seyed Shahabeddin Moafimadani, Majid Roohi

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Leveraging mixed-effects regression trees for the analysis of high-dimensional longitudinal data to identify the low and high-risk subgroups: simulation study with application to g... by Mina Jahangiri, Anoshirvan Kazemnejad, Keith S. Goldfeld, Maryam S. Daneshpour, Mehdi Momen, Shayan Mostafaei, Davood Khalili, Mahdi Akbarzadeh

“…Previous studies have shown that this model can be sensitive to parametric assumptions and provides less predictive performance than non-parametric methods such as random effects-expectation maximization (RE-EM) and unbiased RE-EM regression tree algorithms. …”
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High-Order Spectral Method of Density Estimation for Stochastic Differential Equation Driven by Multivariate Gaussian Random Variables by Hongling Xie

“…Our main techniques are (1) we build a new multivariate orthogonal basis by adopting the Gauss–Schmidt orthogonalization; (2) with the newly constructed orthogonal basis in hand, we first assume the unknown function in the SPDE has the stochastic general polynomial chaos (gPC) expansion, second implement the stochastic gPC expansion for the SPDE in the multivariate Gaussian measure space, and third we obtain and numerical calculation deterministic differential equations for the coefficients of the expansion; (3) we used high-order algorithm of gPC-based for density estimation and moment estimation. …”
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Intelligent energy management of microgrids using machine learning: Leveraging random forest models for solar and wind power by Hasanur Zaman Anonto, Md Ismail Hossain, Abu Shufian, Md. Shaoran Sayem, S M Tanvir Hassan Shovon, Protik Parvez Sheikh, Sadman Shahriar Alam

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Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm by Tengjie Yang, Tengjie Yang, Xinqiang Gao, Xinqiang Gao, Lichuan Wang, Yongqing Xue, Haobo Fan, Zhengguo Zhu, Zhengguo Zhu, Jingbo Zhao, Beiyi Dong, Beiyi Dong

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A hybrid evolution strategies algorithm for non-permutation flow shop scheduling problems by Bilal Khurshid, Shahid Maqsood, Muhammad Salman Habib, Muhammad Omair, Seung-June Hwang

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Mechanism- and data-driven algorithms of electrical energy consumption accounting and prediction for medium and heavy plate rolling by Qiang Guo, Zimeng Zhou, Jie Li, Fengwei Jing

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WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches by Shehla Gul, Sobia Arshad, Sanay Muhammad Umar Saeed, Adeel Akram, Muhammad Awais Azam

“…While applying learning techniques to intrusion detection, researchers are facing challenges mainly due to the imbalanced training sets and the high dimensionality of datasets, resulting from the scarcity of attack data and longer training periods, respectively. …”
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