Combustion Control of Ship’s Oil-Fired Boilers Based on Prediction of Flame Images by Chang-Min Lee

“…The combustion control system utilizes oxygen concentration predictions from flame images via SEF+SVM as control inputs and applies internal model control (IMC)-based proportional-integral (PI) control for real-time combustion control. …”
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Criteria for predicting the initiation of rolling contact fatigue damage in the railway wheels and rails by V. I. Sakalo, A. V. Sakalo

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Firefront Forecasting in Boreal Forests: Machine Learning Approach to Predict Wildfire Propagation by A.-M. Raita-Hakola, I. Pölönen

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Prediction of Heavy Oil Production Based on Geomechanical Analysis in Entire Lifecycle of SAGD by Dengke Li, Shaowen Zhu, Yanchao Li, Shijie Shen, Zupeng Chen, Zhanli Ren, Yuxuan Zhou, Yanfang Gao

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Integrating temporal convolutional networks with metaheuristic optimization for accurate software defect prediction. by Ahmed Abdelaziz, Alia Nabil Mahmoud, Vitor Santos, Mario M Freire

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A Convolutional Neural Network-Based Stress Prediction Method for Airfoil Structures by Wendi Jia, Quanlong Chen

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Water quality prediction using LSTM with combined normalizer for efficient water management by N. Mahesh, J. Jagan Babu, K. Nithya, S.A. Arunmozhi

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Settlement Prediction Method of Extra-Large Diameter Tunnels in Soft Rock Strata by Jianguang Zhou, Decai Qiu, Shangqu Sun, Heng Zhou, Diyang Chen, Hao Chen, Huijiang Hu, Huanchun Hu

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Predicting peak ground acceleration using the ConvMixer networkKey points by Mona Mohammed, Omar M. Saad, Arabi Keshk, Hatem M. Ahmed

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The Using Bayesian Networks and Fuzzy Logic to Predict Warehouse Planning Disruption Risks by Kerouich Abdelilah, Azmani Abdellah, Azmani Monir

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Personalized Human Thermal Sensation Prediction Based on Bayesian-Optimized Random Forest by Hao Yang, Maoyu Ran

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Prediction and optimization of robot processing technology based on neural network and genetic algorithm by Fusen WU

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An optimized machine learning framework for predicting and interpreting corporate ESG greenwashing behavior. by Fanlong Zeng, Jintao Wang, Chaoyan Zeng

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Identifying source of predictability for vapor pressure deficit variability in the southwestern United States by Jiale Lou, Youngji Joh, Thomas L. Delworth, Liwei Jia

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Enhanced Dung Beetle Optimizer-Optimized KELM for Pile Bearing Capacity Prediction by Bohang Chen, Mingwei Hai, Gaojian Di, Bin Zhou, Qi Zhang, Miao Wang, Yanxiu Guo

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Machine learning-based prediction of the necessity for the surgical treatment of distal radius fractures by Jongmin Lim, Sehun Chang, Kwangsu Kim, Hee Jin Park, Eugene Kim, Seok Woo Hong

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Neural network quantification for solar radiation prediction: An approach for low power devices by Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante

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Prediction on rock strength by mineral composition from machine learning of ECS logs by Dongwen Li, Xinlong Li, Li Liu, Wenhao He, Yongxin Li, Shuowen Li, Huaizhong Shi, Gaojian Fan

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AD-Diff: enhancing Alzheimer's disease prediction accuracy through multimodal fusion by Lei Han

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Machine learning predicts and provides insights into milk acidification rates of Lactococcus lactis. by Signe Tang Karlsen, Tammi Camilla Vesth, Gunnar Oregaard, Vera Kuzina Poulsen, Ole Lund, Gemma Henderson, Jacob Bælum

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