Analysis and Recommendation of Outdoor Activities for Smart City Users Based on Real-Time Contextual Data by S. R. Mani Sekhar, D. M. Mushtaq Ahmed, G. M. Siddesh

“…The result shows that the proposed air pollution model predicted 96.06700 PM2.5 concentration levels, subsequently the temperature model predicted 14.06800∘C. …”
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NeuTox 2.0: A hybrid deep learning architecture for screening potential neurotoxicity of chemicals based on multimodal feature fusion by Xudi Pang, Xuejun He, Ying Yang, Ling Wang, Yuzhen Sun, Huiming Cao, Yong Liang

“…We applied the NeuTox 2.0 model to predict the neurotoxicity of 315,790 compounds in the REACH database. …”
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Insights into the contribution of multiple factors on Ixodes ricinus abundance across Europe spanning 20 years using different machine learning algorithms by Samantha Lansdell, Abin Zorto, Misaki Seto, Edessa Negera, Saeed Sharif, Sally Cutler

“…This was measured according to the extent of prediction error increase following exclusion of that factor from the analysis. …”
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Bioinformatics insights into mitochondrial and immune gene regulation in Alzheimer's disease by Tian Meng, Yazhou Zhang, Yuan Ye, Hui Li, Yongsheng He

“…Subsequently, we further analyzed the signaling pathways and potential biological mechanisms of the biomarkers through gene set enrichment analysis, prediction of transcription factors (TFs), miRNAs, and drug prediction. …”
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Decreased Levels of Insulin-Regulated Aminopeptidase (IRAP) in Gestational Diabetes Mellitus: A Prospective Cohort Study by Osman Köse, Koray Gök, Elif Köse, Sezen Irmak Gözükara, Abdullah Tüten, Mehmet Sühha Bostancı

“…These findings suggest that low serum IRAP level could be a novel biomarker for the prediction of GDM. …”
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Laser-induced breakdown spectroscopy applied to cattle compost for phosphorus quantification by Alberto Lencina, Gustavo Romagnoli, Andrea Alonso, Noelia Ramos, Cristian D’Angelo, Lina Lett, Silvia Mestelan

“…Calibrations with a 30 percent of prediction error were achieved, which seems enough as a first approximation to predict the total P content in compost for utilization in farms to recycle nutrients.…”
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Social Service Model and Value Evaluation of Libraries under Sharing Economy by Ping Liu, Lijing Cai, Liqin Luo

“…The proposed prediction model was proved effective through experiments, and the SSS functions of libraries were valued.…”
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Model and Stability Analysis of a Flexible Bladed Rotor

“…Finally, extensive parametric studies including the length and the stagger angle of the blades as well as their flexibility are presented in order to obtain robust criteria for stable and unstable areas prediction.</p>…”
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Numerical Simulation of Effective Properties of 3D Piezoelectric Composites by Ri-Song Qin, Yi Xiao, Haitian Lan

“…The prediction of the overall effective properties of fibre-reinforced piezocomposites has drawn much interest from investigators recently. …”
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Insolvency in Brazilian Football Clubs: Proposition of Models Based on Neural Networks by Fábio Minatto, José Alonso Borba

“…Existing models seek to predict insolvency for organizations in different sectors, but only recently have they been developed for European clubs. …”
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Advances in the Application of New Ultrasound Technology for the Diagnosis and Treatment of Lymphoma by Bao Rui, Chen Lu, Luo Yukun, Zhang Mingbo

“…In addition, we review the biological basis of US prediction of lymphoma and provide an outlook for future research directions.…”
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Numerical Treatment of a Modified MacCormack Scheme in a Nondimensional Form of the Water Quality Models in a Nonuniform Flow Stream by Nopparat Pochai

“…The results obtained indicate that the proposed modified MacCormack scheme does improve the prediction accuracy compared to that of the traditional MacCormack method.…”
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State of Art for Semantic Analysis of Natural Language Processing by Dastan Hussen Maulud, Subhi R. M. Zeebaree, Karwan Jacksi, Mohammed A. Mohammed Sadeeq, Karzan Hussein Sharif

“…The findings suggest that the best-achieved accuracy of checked papers and those who relied on the Sentiment Analysis approach and the prediction error is minimal. …”
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A New Method to Improve the Measurement Accuracy of Autonomous Astronomical Navigation by Yu-Feng Yang, Xiang Han, Ning-Ning Song, Zi-Chen Wang

“…Based on the theory of atmospheric refraction, combined with the atmospheric parameter data of NCEP (National Centers for environmental prediction), the Fourier interpolation fitting algorithm is used to model and analyze the parameters affecting atmospheric refraction on a global scale. …”
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Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm by Hasan Mahamudul, Mekhilef Saad, Metselaar Ibrahim Henk

“…Finally the resultant data has been compared with the theoretical prediction and company specified value to ensure the validity of the system.…”
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Stochastic Behaviour of Mistuned Stator Vane Sectors: An Industrial Application by A.C. Sall, F. Thouverez, L. Blanc, P. Jean

“…Their division into monoblock sectors makes the prediction of their vibratory behaviour difficult by deterministic methods due to the loss of the cyclic symmetry properties and also to a high sensitivity to mistuning. …”
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Artificial Neural Network for Vibration Frequency Measurement Using Kinect V2 by Jiantao Liu, Xiaoxiang Yang

“…The proposed method can provide good frequency prediction within acceptable accuracy compared to an industrial vibrometer, with the advantages of contactless process and easy pipeline implementation.…”
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Microseismic Signal Classification Based on Artificial Neural Networks by Chong-wei Xin, Fu-xing Jiang, Guo-dong Jin

“…The classification of multichannel microseismic waveform is essential for real-time monitoring and hazard prediction. The accuracy and efficiency could not be guaranteed by manual identification. …”
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On nonparametric conditional quantile estimation for non-stationary spatial processes by Kanga, Serge Hippolyte Arnaud, Hili, Ouagnina, Dabo-Niang, Sophie

“…A kernel conditional quantile estimate of a real-valued non-stationary spatial process is proposed for a prediction goal at a non-observed location of the underlying process. …”
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Influence of Turbulence Model for Wind Turbine Simulation in Low Reynolds Number by Masami Suzuki

“…Therefore, the transition area from laminar to turbulent flow becomes wide under these conditions, and the separation point is difficult to predict using turbulence models. The prediction precision decreases dramatically when working with tip speed ratios less than the maximum power point. …”
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