Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach by Umm-e-Laila Mehdi, Khalid Mahboob, Samar Raza Talpur, Khaliq Ahmed, Mohammad Khurram

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A Novel Prediction Method of Dynamic Wall Pressure for Silos Based on Support Vector Machine by Hanhua Yu, Zhijun Xu, Tingting Liu, Fang Yuan

“…Comparing the results of the proposed prediction model with the results of experiment methods and simulation methods, it can be found that the SVM prediction model shows high accuracy and high generalization ability, and the prediction results of the model fit well with the results of experiment and simulation methods. …”
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Research on Prediction Model of Prestress Loss of Anchor Cable in Soil-Rock Dual-Structure Slope by Xuhe Gao, Weiping Tian, Jiachun Li, Hongliang Qi, Zhipei Zhang

“…The establishment of the prestressed cable loss prediction model is a difficult problem faced by the popularization and use. …”
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Prediction of Deformation of Hexagonal Honeycomb Blast Structure Under Explosive Loading Using Deep Learning by Mihaela MARIN, Florin-Bogdan MARIN

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Characterization and Prediction of the Ghana Stock Exchange Composite Index Utilizing Bayesian Stochastic Volatility Models by Osei K. Tweneboah, Kwesi A. Ohene-Obeng, Maria C. Mariani

“…The paper then advances to predictive modeling, employing an innovative approach with four variations of Stochastic Volatility (SV) models: SV with linear regressors, SV with Student’s <i>t</i> errors, SV with leverage effects, and a hybrid model combining Student’s <i>t</i> errors with leverage. …”
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Hemosiderin-Laden Macrophages in Bronchoalveolar Lavage: Predictive Role for Acute Exacerbation of Idiopathic Interstitial Pneumonias by Toru Arai, Tomoko Kagawa, Yumiko Sasaki, Reiko Sugawara, Chikatoshi Sugimoto, Kazunobu Tachibana, Yoshiki Fujita, Seiji Hayashi, Yoshikazu Inoue

“…This retrospective study examined the ability of HLMs in BALF to predict the acute exacerbation (AE) of chronic idiopathic interstitial pneumonias (IIPs). …”
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Individual-network based predictions of microbial interaction signatures for response to biological therapies in IBD patients by Federico Melograna, Padhmanand Sudhakar, Behnam Yousefi, Behnam Yousefi, Clara Caenepeel, Gwen Falony, Gwen Falony, Gwen Falony, Sara Vieira-Silva, Sara Vieira-Silva, Sara Vieira-Silva, Sreenikhitha Krishnamoorthy, David Fardo, Bram Verstockt, Bram Verstockt, Jeroen Raes, Jeroen Raes, Severine Vermeire, Severine Vermeire, Kristel Van Steen

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A pan-cancer analysis: predictive role of ZNF32 in cancer prognosis and immunotherapy response by Minghan Li, Chang Su, Qianru Wang, Yuetong Chen, Di Jiang, Weijia Wang, Shunjin Chen, Xiangping Li, Ming Fu, Juan Lu

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Random Forest-Based Prediction Model for Stiffness Degradation of Offshore Wind Farm Submarine Soil by Ben He, Mingbao Lin, Xinran Yu, Zhishuai Zhang, Song Dai

“…Based on the experimental results, a random forest prediction model for the elastic modulus of the submarine soil was established, which had high prediction accuracy. …”
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The predictive value of echocardiographic parameters regarding appearance of atrial fibrillation in patients with acute coronary syndrome by V.Y. Tseluyko, F. Ben Salem, N.A. Lopina

“…The aim – to determine the predictive value of echocardiographic indicators for the risk of atrial fibrillation (AF) in patients with acute coronary syndrome (ACS) during the hospital period. …”
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Intelligent prediction and understanding of self-shrinkage in ultra-high performance concrete based on machine learning by Ji Hao, Wenbin Jiao, Xinpo Xie, Dula Man, Shengwei Huang

“…This study innovatively presents a machine learning framework utilizing advanced artificial intelligence technologies to predict the autogenous shrinkage behavior of ultra-high-performance concrete (UHPC). …”
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Model for Predicting Borderline Mental Disorders of Law Enforcement Officers – Participants of Anti-Terrorist Operation by O. V. Zemlianska, P. V. Makarenko

“…The authors of the article have revealed the results of constructing a model for predicting borderline stress disorders of law enforcement officers. …”
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Optimizing Obstructive Sleep Apnea Risk Assessment in Hypertension: Development of a Predictive Nomogram in China by Yang Y, Sun X, Liang J, Liao WF, Ye W, Zheng Z, Du L, Chen M, Zhang Y, Lin W, Huang J, Yao W, Chen R

“…DCA and CICA showed that the nomogram is clinically useful.Conclusion: The nomogram predictive model consisting of the five indicators (gender, age, BMI, NC and ESS) can be useful in determining OSA risk in patients with hypertension. …”
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UAV Path Prediction for CD&R to Manned Aircraft in a Confined Airspace for Cooperative Mission by Chin E. Lin, Ya-Hsien Lai

“…Path prediction algorithm is established to estimate UAV flight trajectory to predict conflict threat to manned aircraft in time advances (front-end process of CD&R system). …”
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Integration of predictive and computational intelligent techniques: A hybrid optimization mechanism for PMSM dynamics reinforcement by Shaswat Chirantan, Bibhuti Bhusan Pati

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White Blood Cell and Granulocyte Counts Are Independent Predictive Factors for Prognosis of Advanced Pancreatic Caner by Lanyun Feng, Shihui Gu, Peng Wang, Hao Chen, Zhen Chen, Zhiqiang Meng, Luming Liu

“…Pancreatic cancer is associated with high death rates and limited therapeutic options, with no effective predictive factors being available for prognosis at present. …”
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Prediction of Surface Roughness in End Milling Process Using Intelligent Systems: A Comparative Study by Abdel Badie Sharkawy

“…It is shown that the RBFN model has the best performance (prediction accuracy) in this particular case.…”
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Torque Prediction In Deep Hole Drilling: Artificial Neural Networks Versus Nonlinear Regression Model by Ngoc Hung- Chu, Hoai Nam- Nguyen, Van Du- Nguyen, Dang Binh- Nguyen

“…This model can be further refined to predict torque for drilling deep holes for future studies.…”
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An Electronic Frailty Index Based on Deficit Accumulation May Predict Glaucomatous Visual Field Progression by Duy W, Pajewski N, Williamson JD, Thompson AC

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Publisher Correction: Speech-based personality prediction using deep learning with acoustic and linguistic embeddings by Martin Lukac

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