Feature selection and aggregation for antibiotic resistance GWAS in Mycobacterium tuberculosis: a comparative study by Kirill Reshetnikov, Daria Bykova, Daria Bykova, Konstantin Kuleshov, Konstantin Kuleshov, Konstantin Chukreev, Egor Guguchkin, Alexey Neverov, Gennady Fedonin

“…However, ABESS yielded lower prediction accuracy compared to logistic regression methods with regularization.…”
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Assessment of a Hyperspectral Remote Sensing Model Performance for Particulate Phosphorus in Optically Shallow Lake Water by Banglong Pan, Wuyiming Liu, Zhuo Diao, Qianfeng Gao, Lanlan Huang, Shaoru Feng, Juan Du, Qi Wang, Jiayi Li, Jiamei Cheng

“…This study aims to propose an algorithm to accurately predict the PP concentration and to assess the performance of the model. …”
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STRUCTURE OF THE JOINT DETECTION DEVICES AIRCRAFT in electrostatic multi-sensor system of passive location by D. S. Nefedov

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Ethical AI in Social Sciences Research: Are We Gatekeepers or Revolutionaries? by Remus Runcan, Vasile Hațegan, Ovidiu Toderici, Gabriel Croitoru, Mihaela Gavrila-Ardelean, Lavinia Denisia Cuc, Dana Rad, Alina Costin, Tiberiu Dughi

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Pemodelan Sistem Monitoring Kualitas Udara Pintar Berbasis Internet of Things dengan Pendekatan Machine Learning by Eddy Prasetyo Nugroho, Ani Anisyah, Deva Shofa Al Fathin, Muhammad Nur Yasin Amadudin, Muhammad Satria Ramadhani, Yosafat

“…The combination of the real-time sensor and the LSTM algorithm resulted in an air quality prediction accuracy rate of 88%. …”
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An indoor positioning method based on bluetooth array/PDR fusion using the SVD-EKF by Chenhui Li, Jie Zhen, Jianxin Wu

“…The dynamic test results in the room show that after SVD-EKF algorithm optimization, the positioning error is reduced by 0.05m, which is equivalent to the EKF algorithm. …”
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Wind Turbine Performance in Controlled Conditions: BEM Modeling and Comparison with Experimental Results by David A. Johnson, Mingyao Gu, Brian Gaunt

“…Predictions of the performance of operating wind turbines are challenging for many reasons including the unsteadiness of the wind and uncertainties in blade aerodynamic behaviour. …”
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ABC and HML-methods application for determination and optimization of stock for electrical equipment accessory parts by A. V. Beloglazov, A. G. Rusina, O. V. Fomenko, D. A. Pekhota, V. A. Fyodorova

“…To describe the use of ABC and HML-methods for predicting the volume of emergency stock for main electrical equipment accessory parts. …”
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Optimal design of solar cells grid electrodes based on quadratic curves by Yongjiang Liu, Kai Li, Bo Zhou, Xiangquan Li, Peizheng Li

“…For 12-busbar architectures, more pronounced benefits were achieved, with efficiency gains reaching 4.71 %, 5.33 %, 5.87 % and remarkable volume reductions of 46.55 %, 49.42 %, 51.51 % across all cell sizes. …”
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Integrating Multiple Hierarchical Parameters to Achieve the Self-Compensation of Scale Factor in a Micro-Electromechanical System Gyroscope by Rui Zhou, Rang Cui, Daren An, Chong Shen, Yu Bai, Huiliang Cao

“…This is achieved by integrating the primary and secondary relevant parameters of the scale factor using the partial least squares regression (PLSR) algorithm. In this paper, a scale factor prediction model is presented. …”
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In-situ real-time monitoring of flavonoids extraction from propolis extracts based on near infrared spectroscopy by WANG Wuli, MA Haile, LI Han, ZHANG Yong, XIA Hong

“…The Rp (prediction correlation coefficient) and RMSEP (the root mean square prediction error) were 0.929 1 and 0.242 7 respectively, which showed that the in-situ monitoring of the model had good regression and prediction ability.ConclusionNear-infrared spectroscopy can be used to quickly and accurately monitor the flavonoid content in the extraction process of propolis residue, and realize real-time monitoring in situ.…”
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Short-term forecasting method for net load considering the impact of high proportion of distributed renewable energy by Yuhang Song, Haibo Zhang, Hanru Wu, Joseph Ndonji

“…Example validation shows that the proposed combination algorithm not only enhances the prediction accuracy, but also exhibits excellent generalization capabilities.…”
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Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

“…Conventional prediction methods encounter difficulties in adapting data with the assumptions used, necessitating the application of the Weighted Fuzzy Time Series (WFTS) method. …”
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Dual Stabilization of the Multidimensional Regression Object at the Given Level by V. S. Mukha, N. F. Kako

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CODEWORDS CORRECTION ON THE BASIS OF PARITY CHECKS by A. S. Poljakov, V. E. Samsonov

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Research and practice on self-organization architecture of smart pipe in mobile internet by Fei XUE, Yuhui XU, Liang ZHANG, Ying LI

“…According to the 3GPP specification,a new self-organization network of smart pipe in mobile internet was addressed.By introducing integrated policy control function,the external signals were supervised periodically,and the best optimized network strategies were predicted by the recurrent neural network algorithm,delivered by PCRF,and updated automatically with feedback of the regulations.This solution was effectively applied in scenarios such as speed limit of large traffic users,network protection under high load,and online advertisement recommendation etc.…”
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Strong verb lemmas from a corpus of old english. Advances and issues by Darío Metola Rodríguez

“…The conclusions of the article insist on the limits of automatic lemmatisation as well as the paths of refinement of the lemmatisation method in order to accomodate less predictable forms.…”
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Classification of Phishing Email Using Random Forest Machine Learning Technique by Andronicus A. Akinyelu, Aderemi O. Adewumi

“…This paper investigates and reports the use of random forest machine learning algorithm in classification of phishing attacks, with the major objective of developing an improved phishing email classifier with better prediction accuracy and fewer numbers of features. …”
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STRATEGIC PLANNING AT THE ENTERPRISE: APPLICATION OF A METHOD OF THE ANALYSIS OF HIERARCHIES FOR THE STRATEGIC ACTIVITY MONITORING by Ilya V. Samarin, Alexander N. Fomin

“…An algorithm for solving the problem of determination of the integral strategic risk the implementation of the set ofevents. …”
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FastGEMF: Scalable High-Speed Simulation of Stochastic Spreading Processes Over Complex Multilayer Networks by Mohammad Hossein Samaei, Faryad Darabi Sahneh, Caterina Scoglio

“…Predicting stochastic spreading processes across large-scale multi-layered networks remains a significant computational challenge due to the intricate interplay between network structure and spread dynamics. …”
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