Urban traffic flow prediction based on the multisource heterogeneous spatio-temporal data fusion by Yang AN, Jianwei SUN, Qian LI, Yongshun GONG

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Establishing a Predictive Model for the Occurrence of CI-AKI After PCI in Patients With Coronary Heart Disease Based on Serum-Derived Biomarkers by Qin-yu Sun, Min-jia Tang, Lin Shi, Yi-fan Deng, Zhen Fang, Jun Ji, Sheng-hu He, Jing Zhang

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In vivo percutaneous microwave ablation with ECO system in swine kidney and liver: comparison of ablation-zone size to manufacturer predictions and assessment of new antenna design by Théo Bonnefoy, Georges Tarris, Kévin Guillen, Olivia Poupardin, Olivier Chevallier, Ludwig Serge Aho Glele, Jean-Michel Correas, Romaric Loffroy

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A Deep Learning Model for NOx Emissions Prediction of a 660 MW Coal-Fired Boiler Considering Multiscale Dynamic Characteristics by Jianrong Huang, Yanlong Ji, Haiquan Yu

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Application of ANN in Prediction of Vibration Caused By Blast Operation, Case Study Shur River Dam by Mohammad reza Motahari, Amin Vafaei

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Exploring the Potential of Lateritic Aggregates in Pervious Concrete: A Study on Mechanical Properties and Predictive Techniques by Pushparaj A. Naik, Shriram Marathe

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SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning by Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng

“…The SGCL-LncLoc web server is available at http://csuligroup.com:8000/SGCL-LncLoc. The source code can be obtained from https://github.com/CSUBioGroup/SGCL-LncLoc.…”
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SpatConv Enables the Accurate Prediction of Protein Binding Sites by a Pretrained Protein Language Model and an Interpretable Bio-spatial Convolution by Mingming Guan, Jiyun Han, Shizhuo Zhang, Hongyu Zheng, Juntao Liu

“…Traditional protein binding site prediction models usually extract residue features manually and then employ a graph or point-cloud-based architecture borrowed from other fields. …”
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Estimated ultimate recovery prediction of shale gas wells based on stacked integrated learning algorithm by Min Pang, Zheyuan Zhang, Zhaoming Zhou, Wendi Zhou, Qiong Li

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Artificial intelligence in predicting chronic kidney disease prognosis. A systematic review and meta-analysis by Qinyu Pan, Mengli Tong

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Designing a Model for Virtual Training of Information Literacy Skills on the Website of Libraries of Medical Sciences Universities in the Country by Afshan Tajbakhsh, Nadjla Hariri, Mohammad Hassanzadeh

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Predicting Water Distribution and Optimizing Irrigation Management in Turfgrass Rootzones Using HYDRUS-2D by Jan Cordel, Ruediger Anlauf, Wolfgang Prämaßing, Gabriele Broll

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Predictive biomarkers and molecular subtypes in DLBCL: insights from PCD gene expression and machine learning by Tiantian He, Jie Geng, Chuandong Hou, Hongyi Li, Hong Zhang, Peng Zhao, Peifeng He, Xuechun Lu

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Slope Deformation Prediction Combining Particle Swarm Optimization-Based Fractional-Order Grey Model and <i>K</i>-Means Clustering by Zhenzhu Meng, Yating Hu, Shunqiang Jiang, Sen Zheng, Jinxin Zhang, Zhenxia Yuan, Shaofeng Yao

“…Overall, the proposed model offers a robust and data-efficient solution for slope deformation prediction, providing substantial potential for early warning systems and risk management.…”
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Nonlinear Grey Prediction Model with Convolution Integral NGMC (1,n) and Its Application to the Forecasting of China’s Industrial SO2 Emissions by Zheng-Xin Wang

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An Effective Prediction Approach for the Management of Children Victims of Road Accidents by F. Saadi, Baghdad Atmani, F. Henni, H. Benfriha, Z. Addou, R. Guerbouz

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Positionnements et postures des agents de la coopération linguistique et éducative face aux actions de formation, entre universalisation et diversification by Catherine Carras, Stéphanie Galligani, Thierry Soubrié

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Robust extreme gradient boosting model for predicting the behavior of RC slabs under impact loading: key influencing factors and performance insights by Ammar Babiker

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Explore deep auto-coder and big data learning to hard drive failure prediction: a two-level semi-supervised model by Yan Ding, Yunan Zhai, Yujuan Zhai, Jia Zhao

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Experimental Investigation of Land Mobile Prediction Methods and Modeling of Radio Planning Tool Parameters along Indian Rail Road Rural Zones by M. V. S. N. Prasad, P. K. Dalela, M. Chaitanya

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