Yield of TB screening in prisons in Tajikistan by S. Moe, M. Asozoda, A. Aung, Z. Dusmatova, F. Akintore, E. Nshimiyimana, A. Zavqibekov, N. Sitali, W.K. Mulanda, T. Cullip, A. Sinha

“…METHODS: A systematic TB screening was conducted between July 2022 and September 2023, following a locally adapted algorithm based on WHO recommendations. The screening yield was calculated as the proportion of confirmed TB cases, with categorical variables compared using a χ 2 test. …”
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A METHODOLOGICAL FRAMEWORK FOR IDENTIFYING EMPLOYMENT GROWTH DRIVERS IN THE ARCTIC ECONOMY by Vladimir Nikolaevich Myakshin

“…The study’s primary contribution lies in developing an algorithm for identifying key employment growth drivers through structural change analysis and specialization analysis. …”

Numerical analysis of mathematical model of nanofluid flow through stagnation point involving thermal radiation, activation energy, and living organisms by Munaza Chaudhry, Muhammad Abdul Basit, Muhammad Imran, Madeeha Tahir, Aiedh Mrisi Alharthi, Jihad Younis

“…Convergent implications of nonlinear systems are produced by MATLAB software’s built-in bvp4c algorithm. To indicate the physical importance, a thorough examination of relevant characteristics, such as heat sink/source, porosity, and magnetic parameter is conducted. …”
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Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis by Monalisa Ghosh, Goutam Sanyal

“…The performance of the algorithm is measured by evaluation methods such as precision, recall, and F-measure. …”
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Machine Learning-Integrated Usability Evaluation and Monitoring of Human Activities for Individuals With Special Needs During Hajj and Umrah by Ghadah Naif Alwakid

“…Using clustering, anomaly detection, and predictive modeling, it was intended to enhance the safety and security of sensitive participants. Using the K-Means algorithm and the Elbow Method as the initial indicators to classify the clusters, we reveal four clusters that relate to different human activities that are further visualized through principal component analysis (PCA). …”
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Optimal Dependence of Performance and Efficiency of Collaborative Filtering on Random Stratified Subsampling by Samin Poudel, Marwan Bikdash

“…Dropping fractions of users or items judiciously can reduce the computational cost of Collaborative Filtering (CF) algorithms. The effect of this subsampling on the computing time and accuracy of CF is not fully understood, and clear guidelines for selecting optimal or even appropriate subsampling levels are not available. …”
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Dynamic Response Simulation of Lining Structure for Tunnel Portal Section under Seismic Load by Guoqing Liu, Juntao Chen, Ming Xiao, Yang Yang

“…According to the characteristics of dynamic interaction between the lining and rock, and based on the dynamic contact force algorithm, an analytical model for joint loading between the lining and rock was built. …”
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A Feature-Extraction-Based Lightweight Convolutional and Recurrent Neural Networks Adaptive Computing Model for Container Terminal Liner Handling Volume Forecasting by Bin Li, Yuqing He

“…The abovementioned two deep learning experimental performances with FEB-LCR-ACM are so far ahead of the forecasting results by the classical machine learning algorithm that is similar to Gaussian support vector machine. …”
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Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

“…To find the relevant features efficiently, we further develop a novel search algorithm that does not require calculating the message length for all possible subsets of features. …”
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INNOVATIVE STRATEGIES FOR ENTERPRISES’ DEVELOPMENT IN THE CONDITIONS OF MODERN CHALLENGES by Roman Sherstiuk, Artem Kozlovskyy

“…The conditions for successful implementation of the enterprise innovation strategy are determined: defining the mission, goals and objectives of the enterprise innovation activity; breaking the process into stages and determin­ing the expected results; applying flexible models of the innovation process; developing indicators for objective evaluation of the innovation activity results; improving the innovation culture; identi­fying and developing creative talents; introducing and implementing innovative initiatives; main­taining customer feedback; inter-organizational cooperation. An algorithm for building inter-organ­izational cooperation in the innovation activities of enterprises is designed. …”
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Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images by Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen

“…This study investigates an improved codebook model for the fined-grained medical image representation with the following three advantages: (1) instead of SIFT, we exploit the local patch (structure) as the local descriptor, which can retain all detailed information and is more suitable for the fine-grained medical image applications; (2) in order to more accurately approximate any local descriptor in coding procedure, the sparse coding method, instead of K-means algorithm, is employed for codebook learning and coded vector calculation; (3) we evaluate retrieval performance of focal liver lesions (FLL) using multiphase computed tomography (CT) scans, in which the proposed codebook model is separately learned for each phase. …”
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Model of a Photovoltaic Module for the MatLab/Simulink SimPowerSystems Library by D. I. Zalizny

“…The model solved the problems of the algorithm stability for calculating algebraic cycles by introducing constraint the current and the voltage parameters. …”
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ECT Image Recognition of Pipe Plugging Flow Patterns Based on Broad Learning System in Mining Filling by Xuebin Qin, ChenChen Ji, Yutong Shen, Pai Wang, Mingqiao Li, Junle Zhang

“…Slurry flow in pipeline is regarded as a two-phase flow, and the multishape distribution was reconstructed into images by ECT and intelligently recognized by broad learning system (BLS) algorithm. BLS is a feedforward neural network with few optimization parameters and fast training speed. …”
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A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE) by Rebwar M. Nabi, Soran Ab. M. Saeed, Habibollah Harron

“…Finally, seven ensemble machine learning (ML) algorithms are used and compared to discover the ultimate collaboration prediction model. …”
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Metaheuristics Approach for Hyperparameter Tuning of Convolutional Neural Network by Hindriyanto Purnomo, Tad Gonsalves, Evangs Mailoa, Fian Julio Santoso, Muhammad Rizky Pribadi

“…The computational times for the ACO, GA and HS algorithms are 27.9 s, 22.3 s, and 56.4 s, respectively. …”
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ARES: A Parallel Discrete Ordinates Transport Code for Radiation Shielding Applications and Reactor Physics Analysis by Yixue Chen, Bin Zhang, Liang Zhang, Junxiao Zheng, Ying Zheng, Cong Liu

“…ARES uses the Koch-Baker-Alcouffe parallel sweep algorithm to obtain high parallel efficiency. Verification and validation for the ARES transport code system have been done by lots of benchmarks. …”
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Fluid flow characteristics estimation of a new integrated bifluid/airbased photovoltaic thermal system utilizing a hybrid optimization method by Ghassan A. Bilal, Abdullateef A. Jadallah, Omayma M. Abdulmajeed, Müslüm Arıcı

“…For the reliability of the proposed algorithm, the mean absolute percentage error was used for error estimation detection. …”
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Predictive Control for PV- Water Pumping System based of Interconnected High Gain Observer by Lamouchi Zakaria, Allal Abderrahim, Abderrahmane Khechekhouche, Antonio Marcos de Oliveira Siqueira, Júlio Cesar Costa Campos, Kheireddine Lamamra

“…Transitioning from 1000 W/m² to 700 W/m² insolation, the system exhibits stability in Vpv and rapid Ipv adjustment at MPP. The InC algorithm extends PV array operation, showcasing a decrease in power output to 2204 W at 60% flow rate. …”
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Rapid qualitative and quantitative analysis of strong aroma base liquor based on SPME-MS combined with chemometrics by Zongbao Sun, Junkui Li, Jianfeng Wu, Xiaobo Zou, Chi-Tang Ho, Liming Liang, Xiaojing Yan, Xuan Zhou

“…Partial least squares (PLS), successive projection algorithm partial least squares (SPA-PLS) model, and competitive adaptive reweighed sampling-partial least squares (CARS-PLS) were established for the prediction of the four esters in the SABL. …”
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Automatical sampling with heterogeneous corpora for grammatical error correction by Shichang Zhu, Jianjian Liu, Ying Li, Zhengtao Yu

“…Finally, we enhance typical Seq2Seq and Seq2Edit grammatical error correction models with pre-trained language models and design a model ensemble algorithm for integrating the advantages of heterogeneous models and weighted samples. …”
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