Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning by Ferdian Maulana Akbar, Robby Hermansyah, Sofian Lusa, Dana Indra Sensuse, Nadya Safitri, Damayanti Elisabeth

“…Results showed that the Random Forest model, after hyperparameter tuning, had the best performance with an F1 score of 0.765. …”
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Recursive Quantum Relaxation for Combinatorial Optimization Problems by Ruho Kondo, Yuki Sato, Rudy Raymond, Naoki Yamamoto

“…Combining this finding with the concept of quantum random access codes (QRACs) for encoding bits into quantum states on fewer qubits, we propose an efficient recursive quantum relaxation method called recursive quantum random access optimization (RQRAO) for MAX-CUT. …”
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Research on Pore Structure of Foam Gypsum Modified by Portland–Sulphoaluminate Composite Cement (PSACC) by Jiansen Yang, Hanxi Zhu, Xiangyang Cao

“…In the process of porosity filling of foam gypsum, three types of pore size small set phenomenon were exhibited, and the gypsum with small and uniformly distributed pore size had excellent thermal performance; MATLAB random distribution model and COMSOL finite element software joint simulation could effectively predict the thermal performance of porous materials.…”
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An Exploration of the Triplet Periodicity in Nucleotide Sequences with a Mature Self-Adaptive Spectral Rotation Approach by Bo Chen, Ping Ji

“…In this paper, the behaviors of the walks for random nucleotide sequences are further investigated qualitatively. …”
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Conditional Stochastic Simulations of Flow and Transport with Karhunen-Loève Expansions, Stochastic Collocation, and Sequential Gaussian Simulation by Mina E. Ossiander, Malgorzata Peszynska, Veronika S. Vasylkivska

“…Our method relies on projections to an appropriate subspace of random weights applied to the eigenfunctions of the covariance operator. …”
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Estimation of Finite Population Mean in Multivariate Stratified Sampling under Cost Function Using Goal Programming by Atta Ullah, Javid Shabbir, Zawar Hussain, Bander Al-Zahrani

“…In practical utilization of stratified random sampling scheme, the investigator meets a problem to select a sample that maximizes the precision of a finite population mean under cost constraint. …”
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Multiple Machine Learning Algorithms-based NBA Team Playoffs Prediction by Yeung Manho

“…Among the models, Random Forest outperformed the others, achieving the highest ROC-AUC score of 0.841. …”
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Reliability Evaluation of Multiple DCFP System subject to Shifting Threshold by Chunping Li, Huibing Hao, Fang Xu, Guotao Zhao

“…Numerical results indicate that both random shocks and shifting threshold have significant effect on system reliability. …”
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A Hybrid Machine Learning Framework for Soccer Match Outcome Prediction: Incorporating Bivariate Poisson Distribution by Chen Zhong An

“…While Random Forests achieved the highest accuracy (56.25%), predicting draws remains challenging. …”
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Massive access technology in 6G cellular Internet of things network by Feiyan TIAN, Xiaoming CHEN, Caijun ZHONG, Zhaoyang ZHANG

“…To realize Internet of everything (IoE),the 6G cellular Internet of things (IoT) network need to provide wireless access with low power,massive connectivity and wide coverage.Through the analysis and research on the massive access technology in 6G cellular IoT network,especially in combination with the sporadic characteristics of IoT applications,a new access framework based on the grant-free random access protocol was designed to facilitate efficient massive access with limited spectrum resources.The proposed framework consisted of two phases.One was joint activity detection and channel estimation.The other was data transmission,which was divided into two categories,uplink data transmission and downlink data transmission,according to the different directions of data transmission.Due to the uncertainty of channel state information at the base station under the massive grant-free random access and considering the low power demand of 6G IoT devices,two robust uplink and downlink access algorithms were designed by maximizing the system energy efficiency.Extensive simulation results validate the effectiveness and robustness of the proposed algorithm.…”
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Adaptive Self-Occlusion Behavior Recognition Based on pLSA by Hong-bin Tu, Li-min Xia, Lun-zheng Tan

“…Firstly, the Markov random field was used to represent the occlusion relationship between human body parts in terms an occlusion state variable by phase space obtained. …”
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Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…Random Forest Classifier investigated the diabetes estimate. …”
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The Application of New Educational Concepts in Digital Educational Media by Chun Yang

“…It is found that there are multilayer linear regression < mild gradient advance < extreme gradient advance < random forest in each indicator. In addition, in the two integration models, bagging idea represented by the random forest is more suitable for this group than two gradient boosting.…”
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The moderating role of strategy and environment on the relationship between corporate liquidity and investment: evidence from panel data by Celísia Baptista, Fernanda Matias, Patrícia Oom do Valle

“…The estimated model was validated through the Breusch-Pagan/Cook-Weisberg and Wald Modified tests (heteroscedasticity tests), Lagrange Multiplier (industry random effects test, using the two-digit National Classification of Economic Activities), Hausman robust test (fixed effects model vs. random effects model test) and likelihood-ratio test (joint effect of industry and time test). …”
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Formulation of energy loss due to magnetostriction to design ultraefficient soft magnets by Hiroshi Tsukahara, Haodong Huang, Kiyonori Suzuki, Kanta Ono

“…The estimated effective random magnetoelastic anisotropy for nanocrystalline α-Fe reached as low as 18.6 J/m3, but this static effect could not explain the high excess loss at high frequencies observed in the experiments. …”
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Survival Analysis of Fatigue and Rutting Failures in Asphalt Pavements by Pabitra Rajbongshi, Sonika Thongram

“…Thus, the deterministic failure time which is known as design life (yr) of pavement becomes random in nature. Reliability analysis of such time (t) dependent random variable is the survival analysis of the structure. …”
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Probabilistic Harmonic Calculation in Distribution Networks with Electric Vehicle Charging Stations by Jianxue Wang, Yanlin Cui, Minghui Zhu

“…Due to the uncertainty of the EV charging process, the harmonic currents brought by EV charging stations have a random nature. This paper proposed a mathematical simulation method for studying the working status of charging stations, which considers influencing factors including random leaving factor, electricity price, and waiting time. …”
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Degradation and reliability assessment of accuracy life of RV reducers by XU Hang, NIE Yixuan, WEN Dongjie, REN Jihua, HONG Zhihui

“…Therefore, the degradation characteristics of precision reducers were analyzed.MethodsTaking the RV80E reducer as an example, a random degradation model based on Gamma process was proposed. …”
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Analysis of Financing Efficiency of Chinese Agricultural Listed Companies Based on Machine Learning by Lixia Liu, Xueli Zhan

“…The influencing factors of financing efficiency are analyzed using the Tobit regression model and the random forest regression model. And we find the following: (1) The random forest regression model significantly outperformed the Tobit regression model, with determination coefficients (R2) greater than 0.9 in full sample sets. (2) Total liability, financial expenses, return on total assets, and inventory turnover rate are important factors affecting financing efficiency of agricultural listed companies. (3) Return on total assets and inventory turnover rate promote the financing efficiency, while total liability and financial expenses reduce financing efficiency. …”
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