Temporal and Spatial Evolution Features of Precipitable Water in China during a Recent 65-Year Period (1951–2015) by Hao Wang, Jianxin He

“…This study utilized the National Centers for Environmental Prediction (NCEP) and Climate Prediction Center Merged Analysis of Precipitation (CMAP) reanalysis data to probe the temporal and spatial distribution features of atmospheric precipitable water (PW) in China during a recent 65-year period (1951–2015), and the relationship between PW and actual precipitation was also studied. …”
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Potential Use and Limitation of Artificial Intelligence to Screen Diabetes Mellitus in Clinical Practice: A Literature Review by Aqsha Nur, Defin Yumnanisha, Sydney Tjandra, Adang Bachtiar, Dante Saksono Harbuwono

“…., machine learning and deep learning) have yielded prediction performances of up to 98% in various diseases. …”
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QSAR modeling of benzoquinone derivatives as 5-lipoxygenase inhibitors by T.K. Shameera Ahamed, Vijisha K. Rajan, K. Muraleedharan

“…Performance of the QSAR models was measured by using cross-validation technique as well as through the external test set prediction. RF model outperforms all other models. SVM and MLR models failed due to the poor performance of the external test set prediction. …”
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A Short-Term Load Forecasting Model of LSTM Neural Network considering Demand Response by Xifeng Guo, Qiannan Zhao, Shoujin Wang, Dan Shan, Wei Gong

“…In order to solve the problem of rough feature engineering processing and low prediction accuracy, a short-term load forecasting model of LSTM neural network considering demand response is proposed. …”
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Optimization of Backpropagation Neural Network under the Adaptive Genetic Algorithm by Junxi Zhang, Shiru Qu

“…Finally, three different cases are proposed based on the actual scenario of traffic flow prediction to analyse the optimized algorithm on the matrix laboratory (MATLAB) platform by simulation. …”
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Advancements in the Application of Convolutional Neural Networks in Ultrasound Imaging for Breast Cancer Diagnosis and Treatment by An Zichen, Li Fan

“…It summarizes the use of DL models in breast cancer screening and in preoperative prediction of molecular subtypes, response to neoadjuvant chemotherapy (NAC), and axillary lymph node (ALN) metastasis status. …”
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A New Type of Eye Movement Model Based on Recurrent Neural Networks for Simulating the Gaze Behavior of Human Reading by Xiaoming Wang, Xinbo Zhao, Jinchang Ren

“…The model uses the eye movement data of a reader reading some texts as training data to predict the eye movements of the same reader reading a previously unseen text. …”
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Analysis of Hydraulic Fracture Propagation Using a Mixed Mode and a Uniaxial Strain Model considering Geomechanical Properties in a Naturally Fractured Shale Reservoir by Youngho Jang, Gayoung Park, Seoyoon Kwon, Baehyun Min

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A New Production Forecasting Method of the Multifractured Horizontal Wells Based on Cluster Analysis by Mingjing Lu, Zenglin Wang

“…The error between the new well production predicted by the chart and the actual production is 4.7%, which meets the requirements of the field error. …”
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Dielectric Properties of Φ(BZT-BCT)-(1−Φ) Epoxy Composites with 0-3 Connectivity by P. Mishra, P. Kumar

“…Effective medium theory (EMT) model and Yamada models were found to be useful for the prediction of the effective dielectric constant of studied composites.…”
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Are University Students Willing to Participate in Environmental Protection Activities (EPAs)? – Sub-dimensions of Ecological Intelligence as Predictors by Nalan Akkuzu-Guven, Melis Arzu Uyulgan

“…According to the results, the model to predict participation in EPAs indicated that a good discriminative ability with a prediction accuracy of 79.3%. …”
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Study on Early Warning of Karst Collapse Based on the BP Neural Network by Dongqin Chen

“…BP neural network prediction can effectively predict karst collapse, with higher prediction accuracy, and can effectively simulate the actual collapse risk.…”
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Developing Financial Forecast Modeling With Deep Learning On Silver/Ons Parity by Adem Üntez, Mümtaz İpek

“…In this study, financial prediction models have been developed over the silver / ounce parity using deep learning architectures. …”
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Spring phenological models combining the effects of temperature and photoperiod are successfully transferred to various spatial and temporal scales: a case study of Aesculus hippoc... by Korsakova Svetlana, Korsakov Pavel, Evstigneev Vladislav

“…Amongst models, those combining the effects of temperature and photoperiod showed the best phenophase prediction, suggesting the influence of photoperiod on the leaf unfolding and flowering of A. hippocastanum. …”
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Dynamic Behaviour Analysis of Turbocharger Rotor-Shaft System in Thermal Environment Based on Finite Element Method by Zhihao Liu, Renren Wang, Fang Cao, Pidong Shi

“…The results show that accurate prediction of internal damping energy dissipation in a temperature field is crucial for accurate prediction of rotor dynamic performance. …”
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Investigation of Flexural Fatigue Behavior of Concrete Beams Reinforced with Intelligent CFRP-OFBG Plates by Langni Deng, Yang Liu, Ling Liao, Hong Xie, Xiaoxia Huang, Shijin Lai, Mengjun Zhong

“…Besides, based on the real-time monitoring data of the intelligent CFRP-OFBG plates, a fatigue accumulative damage model was established using flexural bending stiffness for the prediction of fatigue life. Through example verification, it was found that the fatigue life predicted by the model had less error and was safer than the fatigue failure cycle number of the reinforced beam obtained by experimental tests.…”
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Antenna Optimization Based on Auto-Context Broad Learning System by Wei-Tong Ding, Fei Meng, Yu-Bo Tian, Hui-Ning Yuan

“…Based on the previous prediction results, AC learns an iterated low-level and context model and then iterates to approach the ground truth, which is very general and easy to implement. …”
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A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution. by Sheng Miao, Guoqing Ni, Guangze Kong, Xiuhe Yuan, Chao Liu, Xiang Shen, Weijun Gao

“…Petroleum hydrocarbon pollution causes significant damage to soil, so accurate prediction and early intervention are crucial for sustainable soil management. …”
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Analytical Solution of Three-Dimensional Heaving Displacement of Ground Surface during Tunnel Freezing Construction Based on Stochastic Medium Theory by Hai-bing Cai, Meng-kai Li, Xiao-fang Li, Sheng Li, Rong-bao Hong

“…When the inclination angle is equal to 0°, the analytical solution of three-dimensional ground surface heaving displacement is in good agreement with that of the two-dimensional prediction model, which further verified the reliability of the established analytical solution of the three-dimensional frost heave prediction model.…”
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Study on Downhole Throttling Characteristics of High Water Content Gas by Jie Zheng, Zhenzhen Li, Yihua Dou, Yarong Zhang, Cheng Bi, Xu Yang, Jiahui Li

“…Based on the wellbore gas-liquid two-phase pipe flow theory and heat transfer theory, the temperature and pressure coupling prediction model of a high water-bearing gas well is established. …”
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