A Digital Twin Comprehensive Monitoring System for Ship Equipment by Miao Zhe, Zhao Yong, Su Shaojuan, Song Nanzhe

“…Through data-driven models and operational monitoring system analysis, our PSO-SVM-based time series prediction method demonstrated excellent predictive capabilities for catamaran equipment, achieving efficient fault warnings using a threshold method. …”
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Computer Simulation of Water Flow Animation Based on Two-Dimensional Navier-Stokes Equations by Rushi Cao, Ruyun Cao

“…The results show that FluidsNet has considerable performance in accelerating large scene animation simulation on the basis of ensuring the rationality of prediction, and the motion of water wave is realistic. …”
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Evaluation Method of Music Teaching Effect Based on Fusion of Deep Neural Network under the Background of Big Data by Yifan Fan

“…The research results show that the CNN and LSTM methods can better extract the three features in the evaluation of music teaching effect, and the maximum prediction error is only 2.23%. Hybrid CNN-LSTM with LSTM neural network has higher accuracy in predicting music teaching effect than single neural network technique. …”
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Determination of the Transport Properties of Structural Concrete Using AC Impedance Spectroscopy Techniques by Lipeng Wu, Peng Dai, Yong Li

“…Among many transport parameters, the chloride ion diffusion coefficient is the most important one, which provides important information on material design and service life prediction. In this paper, AC impedance spectroscopy technology was employed in the measurement of chloride ion diffusion coefficient. …”
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Key Performance Indicators in Freestyle Swimming: Comparing Start, Turn, and Swimming Velocity in Top-Elite Female Junior and Adult Swimmers by Chantal Widmer, Julia Hernandez, Michael Romann, Wolfgang Taube, Dennis-Peter Born

“…While the effect of start performance decreased from short to long race distances, turn performances showed a U-shaped, hence largest effect on middle-distance races, i.e. 200 m and 400 m. The prediction tool that was developed from the regression model allows the prediction of individual performance progressions and rankings at international swimming competitions by combining isolated performance analysis with race analysis data. …”
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Implementasi Algoritma Catboost Dan Shapley Additive Explanations (SHAP) Dalam Memprediksi Popularitas Game Indie Pada Platform Steam by Mohammad Teddy Syamkalla, Siti Khomsah, Yohani Setya Rafika Nur

“…The SHAP method reveals the influence of features on prediction results. The existence of steam trading cards category, RPG genre and compatibility on mac operating system will increase the popularity. …”
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Comprehensive symptom assessment using Integrated Palliative care Outcome Scale in hospitalized heart failure patients by Yasuhiro Hamatani, Moritake Iguchi, Yurika Ikeyama, Atsuko Kunugida, Megumi Ogawa, Natsushige Yasuda, Kana Fujimoto, Hidenori Ichihara, Misaki Sakai, Tae Kinoshita, Yasuyo Nakashima, Masaharu Akao

“…The total IPOS score on admission was not correlated with the HF severity, including LVEF (Spearman's ρ = −0.05, P = 0.43), NT‐proBNP levels (Spearman's ρ = 0.08, P = 0.20) or in‐hospital mortality prediction model (GWTG‐HF risk score) (Spearman's ρ = 0.01, P = 0.90). …”
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Assessment of prognosis and responsiveness to immunotherapy in colorectal cancer patients based on the level of immune cell infiltration by Kaili Liao, Minqi Zhu, Lei Guo, Zijun Gao, Jinting Cheng, Bing Sun, Yihui Qian, Bingying Lin, Jingyan Zhang, Tingyi Qian, Yixin Jiang, Yanmei Xu, Qionghui Zhong, Xiaozhong Wang

“…Furthermore, an accurate prognostic risk prediction model based on the co-expression of relevant genes by immune cells was developed, enabling precise prediction of survival of colon cancer patients. …”
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Validity of a machine learning estimation of blood volumes during altitude training by Basile Moreillon, Bastien Krumm, Lena Mettraux, Julian Wackernell, James Spragg, Martin Faulhaber, Raphael Faiss

“…Conversely, predicted values for Hbmass underestimated the actual gains, indicating that the predictive model may not be sensitive enough to discriminate actual variations due to a prolonged hypoxic expopsure. …”
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Programmed cell death-related gene IL20RA facilitates tumor progression and remodels tumor microenvironment in thyroid cancer by Yuqi Wang, Yunlong Zhang, Min Liu, Yu Liu, Yu Zeng, Wei Zhang, Shuping Wu, Linfei Hu, Xianhui Ruan, Xiangqian Zheng, Ming Gao, Jingzhu Zhao

“…We constructed a prognostic prediction model and identified several PCD-related genes. …”
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Analisis Perilaku Entitas untuk Pendeteksian Serangan Internal Menggunakan Kombinasi Model Prediksi Memori dan Metode PCA by Rahmat - Budiarto, Yanif Dwi Kuntjoro

“…The memory-prediction model recognizes bottom-up inputs that matched in hierarchy and evokes a series of top-down expectations. …”
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Mitochondrial reactive oxygen species trigger metformin-dependent antitumor immunity via activation of Nrf2/mTORC1/p62 axis in tumor-infiltrating CD8T lymphocytes by Kazuhiro Kakimi, Hirokazu Matsushita, Masaaki Komatsu, Eiryo Kawakami, Mikako Nishida, Nahoko Yamashita, Taisaku Ogawa, Keita Koseki, Eiji Warabi, Tomoyuki Ohue, Katsuyuki Shiroguchi, Heiichiro Udono

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Penerapan Metode K-Means Clustering dan Simple Moving Average untuk Memprediksi Jenis Penyakit di Provinsi Jawa Timur by Shynta Ayu Dwi Darmawan, Karmilasari

“…The research objectives are to cluster cases into relevant and identifiable groups, predict trends in disease cases based on historical data in each region from year to year, build a website-based system as a medium for implementing predictions and clustering. …”
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The Partial Power Control Algorithm of Underwater Acoustic Sensor Networks Based on Outage Probability Minimization by Yun Li, Yishan Su, Zhigang Jin, Sumit Chakravarty

“…The proposed algorithm captures transmission loss (TL) using the Markov chain Monte Carlo (MCMC) method and estimates CSI in the next moment using AR prediction. The simulation results show that the proposed algorithm can effectively reduce the accumulative interference to the receiver and then reduce the outage probability by 19.3% at the maximum.…”
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Assimilation of MWHS-2/FY-3C 183 GHz Channels Using a Dynamic Emissivity Retrieval and Its Impacts on Precipitation Forecasts: A Southwest Vortex Case by Keyi Chen, Jiao Fan, Zhipeng Xian

“…The dynamic emissivity retrieved from window channels of the microwave humidity sounder II (MWHS-2) onboard the China Meteorological Administration’s FengYun (FY)-3C polar orbiting satellite can provide more realistic emissivity over lands and potentially improve the numerical weather prediction (NWP) forecasts. However, whether the assimilation with the dynamic emissivity works for the precipitation forecasts over the complex geography is less investigated. …”
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Building occupancy type classification and uncertainty estimation using machine learning and open data by Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad

“…We address strategies to handle significant class imbalance and introduce Bayesian neural networks to handle prediction uncertainty. The 100-year flood in North Carolina is provided as a practical application in disaster preparedness.…”
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The Sensitivity of Heavy Precipitation to Horizontal Resolution, Domain Size, and Rain Rate Assimilation: Case Studies with a Convection-Permitting Model by Xingbao Wang, Peter Steinle, Alan Seed, Yi Xiao

“…The result indicates that model resolution and domain size should be considered as part of probabilistic precipitation forecasts and ensemble prediction system design besides the model initial field uncertainty.…”
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Copula-Based Probabilistic Hazard Assessment Model for Debris Flow Considering the Uncertainties of Multiple Influencing Factors by Mi Tian, Yuan Shen, Long Fan, Xiao-Tao Sheng

“…The developed model is then used to make probabilistic prediction of debris-flow volume for a specific hazard level, and compared with the empirical approaches. …”
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Morphological Biomarker Differentiating MCI Converters from Nonconverters: Longitudinal Evidence Based on Hemispheric Asymmetry by Xiaojing Long, Chunxiang Jiang, Lijuan Zhang

“…Hemispheric asymmetry in specific brain regions as a neuroimaging biomarker can provide helpful information for prediction of MCI conversion.…”
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Bifurcation Scenarios of Neural Firing Patterns across Two Separated Chaotic Regions as Indicated by Theoretical and Biological Experimental Models by Huaguang Gu, Baobao Pan, Jian Xu

“…The deterministic dynamics of the chaotic firing patterns were identified using a nonlinear prediction method. These results provided details regarding the processes and dynamics of bifurcation containing the chaotic bursting between period-1 and period-2 burstings and other chaotic firing patterns within the comb-shaped chaotic region. …”
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