Empirical Analysis of Data Sampling-Based Decision Forest Classifiers for Software Defect Prediction by Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Hussaini Mamman, Luiz Fernando Capretz, Shuib Basri, Rafiat Ajibade Oyekunle, Hammed Adeleye Mojeed, Abimbola Ganiyat Akintola

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Application of Machine Learning in Predicting Quality Parameters in Metal Material Extrusion (MEX/M) by Karim Asami, Maxim Kuehne, Tim Röver, Claus Emmelmann

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Predicting the Relationship of Antecedent Variables of Intention to Use: Empirical Analysis on E-Money Application by Ganesha Triutomo Iswara, Kevin Wialdy, Sabrina Oktaria Sihombing

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Predicting pulmonary function using thoracic deformity parameters in early onset scoliosis patients. by Mattan R Orbach, Patrick J Cahill, Annalise Noelle Larson, Ron El-Hawary, Oscar H Mayer, Sriram Balasubramanian

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Operational data analytics for failure prediction and availability improvement in gas turbine power plants by Ahiamadu Jonathan Okirie, Ebigenibo Genuine Saturday, Mathew Izuchukwu Gift, Dickens Ewe

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Mechanical Design of McKibben Muscles Predicting Developed Force by Artificial Neural Networks by Michele Gabrio Antonelli, Pierluigi Beomonte Zobel, Muhammad Aziz Sarwar, Nicola Stampone

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Prediction of cholesterol level in patients with myocardial infarction based on medical data mining methods by Cemil Colak, Mehmet C. Colak, Necip Ermis, Nevzat Erdil, Ramazan Ozdemir

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Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid

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Predicting anemia management in dialysis patients using open-source machine learning libraries by Takahiro Inoue, Norio Hanafusa, Yuki Kawaguchi, Ken Tsuchiya

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Do changes in the implied volatility of stock options predict future changes in CDS spreads? by Changsoo Hong, Yuen Jung Park

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Identifying a Pattern of Predictable Decadal North Pacific SST Variability in Historical Observations by Emily M. Gordon, Noah S. Diffenbaugh

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Improved maximum growth rate prediction from microbial genomes by integrating phylogenetic information by Liang Xu, Emily Zakem, JL Weissman

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Machine learning applications for chloride ingress prediction in concrete: insights from recent literature by Quynh-Chau Truong, Anh-Thu Nguyen Vu

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An Approach to Improving the 4DEnVar‐Initialized Deterministic Prediction Skill for Global Weather by Shujun Zhu, Bin Wang, Lin Zhang, Juanjuan Liu, Yongzhu Liu, Jiandong Gong, Lan Xu, Shiming Xu, Yong Wang, Wenyu Huang, Li Liu, Yujun He, Xiangjun Wu, Bin Zhao, Fajing Chen

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Predicting Clay Swelling Pressure: A Comparative Analysis of Advanced Symbolic Regression Techniques by Esteban Díaz, Roberto Tomás

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Comprehensive comparison between artificial intelligence and multiple regression: prediction of Palmerston North’s temperature by M. Y. Tufail, S. Gul

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Predicting Mobile Payment Behavior Through Explainable Machine Learning and Application Usage Analysis by Myounggu Lee, Insu Choi, Woo-Chang Kim

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A machine learning approach for multimodal data fusion for survival prediction in cancer patients by Nikolaos Nikolaou, Domingo Salazar, Harish RaviPrakash, Miguel Gonçalves, Rob Mulla, Nikolay Burlutskiy, Natasha Markuzon, Etai Jacob

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Prediction-Based Filter Updating Policies for Top- Monitoring Queries in Wireless Sensor Networks by Jiping Zheng, Hui Zhang, Baoli Song, Haixiang Wang, Yongge Wang

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Wavelet and Deep Learning Framework for Predicting Commodity Prices Under Economic and Financial Uncertainty by Lyubov Doroshenko, Loretta Mastroeni, Alessandro Mazzoccoli

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