Stochastic Simulation of Soot Formation Evolution in Counterflow Diffusion Flames by Xiao Jiang, Kun Zhou, Ming Xiao, Ke Sun, Yu Wang

“…However, KM2 mechanism provides much closer prediction compared to measurements for soot gas precursors. …”
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Estimating the Geological Strength Index (GSI) in Regional Seismic-Landslide Zonation Using the Empirical Regression Model by M. E. Mirabedini, E. Haghshenas, N. Ganjian

“…The regression equation predicted GSI in terms of (1) the distance from faults, (2) the distance from thrusts, and (3) the uniaxial compressive strength (σci). …”
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Research on Road Adhesion Condition Identification Based on an Improved ALexNet Model by QiMing Wang, JinMing Xu, Tao Sun, ZhiChao Lv, GaoQiang Zong

“…Finally, the traditional machine learning and improved ALexNet model are compared, focusing on adaptability, prediction output, and error performance, among others. …”
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Rarefied Nozzle Flow Computation Using the Viscosity-Based Direct Simulation Monte Carlo Method by Deepa Raj Mopuru, Nishanth Dongari, Srihari Payyavula

“…Micro-nozzles are essential for enabling precise satellite attitude control and orbital maneuvers. Accurate prediction of performance parameters, including thrust and specific impulse, is critical, necessitating careful design of these nozzles. …”
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Development and validation of a prognostic nomogram model for severe osteomyelitis patients by Yunlong Liu, Yan Zheng, Sheng Ding

“…However, limited research exists on predicting prognosis. Develop a predictive model for 1-year mortality risk in ICU-admitted osteomyelitis patients to inform clinical diagnosis and treatment. …”
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A Reliable Method for Identification of Antibiotics by Terahertz Spectroscopy and SVM by Jin Guo, Hu Deng, Quancheng Liu, Linyu Chen, Zhonggang Xiong, Liping Shang

“…The use of the t-SNE-PSO-SVM model achieved the highest average accuracy on the prediction set, which was 99.91%. Thus, our study does not only confirm that the t-SNE-PSO-SVM model proves to be a reliable method for antibiotics identification, but also confirms that the combination of THz-TDS and chemometric pattern recognition has great potential for drug detection.…”
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Machine and deep learning performance in out-of-distribution regressions by Assaf Shmuel, Oren Glickman, Teddy Lazebnik

“…Our results show that the incorporation of SR-derived features significantly enhances the predictive capabilities of both ML and DL models with 3.70% and 10.20%, on average, of the OOD samples, respectively, without reducing ID performance and in fact improving it to a slightly lower extent. …”
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Single-cell RNA sequencing reveals tumor heterogeneity in small cell neuroendocrine cervical carcinoma by Xuesong Xiang, Xiang Tao, Keqin Hua, Hua Jiang, Jingxin Ding

“…Overall, these findings provide clues for tumorigenesis, precision treatments and prognostic prediction in SCNECC.…”
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Erosion–Seepage System (ESS) for Flow-Induced Soil Erosion Rate with Seepage by Yuhuan Zhang, Lin Cui, Dong-Sheng Jeng, Zheng Wang, Hualing Zhai

“…Critical shear stress and erosion rate are two key factors for the prediction of the incipient motion of sediment and the transport of sediment. …”
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The Prognostic Role and Relationship between E2F1 and SV40 in Diffuse Large B-Cell Lymphoma of Egyptian Patients by Rehab M. Samaka, Hayam A. Aiad, Mona A. Kandil, Nancy Y. Asaad, Nanes S. Holah

“…Upregulation of E2F1 has been implicated in oncogenesis, prognosis, and prediction of therapeutic response but is not seemingly to have a relationship with the accused SV40.…”
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Latent landslide hazard recognition in Fang County using synthetic aperture radar interferometry and geological data by Shunyao Wang, Shunyao Wang, Shunyao Wang, Qingbin Fan, Hui Li

“…The results of this research can contribute to the prediction and early warning of landslides and guide field investigations of geological disasters.…”
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How Big Data Has Changed Technology Roadmapping: A Review on Data-Driven Roadmapping by Jinhong Kim, Gamunnarbi Park, Myoungkyun Woo, Youngjung Geum

“…With the rise of data mining and predictive technologies, systematic data analytics has become popular in business practices. …”
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Effect of Threshold Pressure Gradients on Control Areas Determination of Production Well in CBM Reservoirs by Ruifei Wang, Jiaosheng Yang, Meizhu Wang, Yang Zhao, Weiqing Chen

“…This study provides a quick and reasonable prediction of control radius in CBM reservoir with different water saturation for further adjustment suggestion and sustainable development.…”
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Quantifying Uncertainties in the Quiet‐Time Ionosphere‐Thermosphere Using WAM‐IPE by Weijia Zhan, Alireza Doostan, Eric Sutton, Tzu‐Wei Fang

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Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients. by Yulin Lai, Peiyuan Huang

“…Additionally, we developed a prediction nomogram with an area under the curve of 0.75 to assess the likelihood of developing SPMs.…”
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Piper-PCA-Fisher Recognition Model of Water Inrush Source: A Case Study of the Jiaozuo Mining Area by Pinghua Huang, Xinyi Wang

“…During the one-by-one rediscrimination process of 28 groups of training samples using the Piper-PCA-Fisher water inrush source model, 100% correct discrimination rate was achieved. During the prediction and discrimination process of 13 samples, one water sample was misdiscriminated; hence, the correct prediscrimination rate was 92.3%. …”
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Advancing eHealth in Society 5.0: A Fuzzy Logic and Blockchain-Enhanced Framework for Integrating IoMT, Edge, and Cloud With AI by Joy Dutta, Deepak Puthal

“…We introduce the Health Prediction using Cloud Edge 2.0 (HPCE 2.0) algorithm, which employs fuzzy logic to effectively combine historical Electronic Health Records (EHRs) with real-time IoMT data, providing precise and personalized health severity level predictions. …”
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Magnetopause Standoff Position Changes and Geosynchronous Orbit Crossings: Models and Observations by Y. M. Collado‐Vega, P. Dredger, R. E. Lopez, S. Khurana, L. Rastaetter, D. Sibeck, M. Anastopulos

“…Overall, the models predicted different magnetopause subsolar locations sometimes in the order of 3 RE. …”
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An investigation of hydraulic fracturing initiation and location of hydraulic fracture in preforated oil shale formations by Lianghao Zhai, Yang Xun, Huanan Liu, Bo Qi, Jinghua Wu, Yafei Wang, Chen Chen

“…The findings presented in this paper are anticipated to enhance the prediction of hydraulic fracture initiation pressures and locations in perforation fracturing.…”
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RFMVDA: An Enhanced Deep Learning Approach for Customer Behavior Classification in E-Commerce Environments by Kwanhee Kim, Mingyu Jo, Ilkyeun Ra, Sangoh Park

“…By utilizing the RFMVDA model for customer behavior-based segmentation and classification, we constructed a Deep Neural Network (DNN) to predict customer behavior-based classifications. As a result, the proposed model demonstrated a segmentation prediction accuracy of 92.98% for customers in the e-commerce environment.…”
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