Using Hybrid Artificial Intelligence Approaches to Predict the Fracture Energy of Concrete Beams by Qinghua Xiao, Congming Li, Shengxiang Lei, Xiangyu Han, Qiaofeng Chen, Zemin Qiu, Biao Sun

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ANN prediction of the CO2 solubility in water and brine under reservoir conditions by Shuo Yang, Dong Wang, Zeguang Dong, Yingge Li, Dongxing Du

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Surface Roughness Prediction of Bearing Ring Precision Grinding Based on Feature Extraction by Chaoyu Shi, Bohao Chen, Yao Shi, Jun Zha

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High frequency radar error classification and prediction based on K-means methods by Zhaoyi Wang, Zhaoyi Wang, Marie Drevillon, Pierre De Mey-Frémaux, Elisabeth Remy, Nadia Ayoub, Dakui Wang, Bruno Levier

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Collecting Performance Prediction for the Rubber Collector in Horizontal Wellbore Based on AutoML by Shaohua Li, Yang Li, Longlin Chen, Xianbin Wang, Weihang Kong

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Prediction of Corroded Pipeline Failure Pressure Based on Empirical Knowledge and Machine Learning by Hongbo Liu, Xiangzhao Meng

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Social opinions prediction utilizes fusing dynamics equation with LLM-based agents by Junchi Yao, Hongjie Zhang, Jie Ou, Dingyi Zuo, Zheng Yang, Zhicheng Dong

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An urban road traffic flow prediction method based on multi-information fusion by Xiao Wu, Hua Huang, Tong Zhou, Yudan Tian, Shisen Wang, Jingting Wang

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Evaluation of machine learning and deep learning algorithms for fire prediction in Southeast Asia by Aditya Eaturu, Krishna Prasad Vadrevu

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Application of phase analysis to predict long-term dynamics of atmospheric air temperature by L.  T. Sozaeva

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Risk prediction of new energy vehicle based on dynamic-static feature fusion by Xiang Zhang, Xiaoxuan Yin, Shubing Huang, Ge Zhang, Chongming Wang

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Development and external validation of a nomogram for predicting sepsis following flexible ureteroscopy by Sheng-Shan Liu, Da-Qing Zhu, Jun-Tao Tan, Hai Hu, Chi Feng, Qing-Hua Luo

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Putting into practice domain-linear motif interaction predictions for exploration of protein networks. by Katja Luck, Sadek Fournane, Bruno Kieffer, Murielle Masson, Yves Nominé, Gilles Travé

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AISMPred: A Machine Learning Approach for Predicting Anti-Inflammatory Small Molecules by Subathra Selvam, Priya Dharshini Balaji, Honglae Sohn, Thirumurthy Madhavan

“…<b>Results:</b> A total of 15 ML models were developed using 2D, FP, and Hybrid feature sets, with the ET model with hybrid features achieving the highest accuracy of 92% and an AUC of 0.97 on the independent test dataset. …”
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Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction by Chao Wang, Ruogu Wang, Yuhan Lin, Jiafei Zhang, Xiaofei Xie, Zidan Zhao, Yunlin Xu

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Drug–Target Affinity Prediction Based on Cross-Modal Fusion of Text and Graph by Jucheng Yang, Fushun Ren

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Comparative Investigation of Machine Learning and Deep Learning Approaches for Air Quality Prediction by Zhang Borui

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Hybridisation of artificial neural network with particle swarm optimisation for water level prediction by Sarah J. Mohammed, Salah L. Zubaidi

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S-I-R Model and COVID-19 Data-Based Numerical Ro Estimation for Pandemic Modeling by Fayzan Ahmed, Majid Iqbal, Arshad Iqbal, Zaheer Uddin

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Automatic smart brain tumor classification and prediction system using deep learning by Qurat Ul Ain Ishfaq, Rozi Bibi, Abid Ali, Faisal Jamil, Yousaf Saeed, Rana Othman Alnashwan, Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna

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