Aircraft Flight Autonomous Decision-Making Method Based on Target Predicted Trajectory and Markov Decision Process by Yang Zhou, Xinmin Tang, Xuanming Ren

Subjects: “…target motion state prediction…”
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Prediction of key biological processes from intercellular DNA damage differences through model-based fitting by Kensuke Otsuka, Kouki Uchinomiya, Yuki Yaguchi, Atsushi Shibata

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Prediction of fatal pancreatogenic shock in the first phase of the disease in patients with hyperergic inflammatory process in acute pancreatitis by A. N. Shcherbyuk, S. V. Morozov, A. V. Grishin, B. I. Yaremin, V. M. Manuylov, D. A. Tsarev, D. A. Mokhov, Ya. E. Nemstsveridze, A. A. Shcherbyuk

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A Deep Learning Approach for General Aviation Trajectory Prediction Based on Stochastic Processes for Uncertainty Handling by Houru Hu, Ye Yuan, Qingwen Xue

“…This paper proposes a deep learning method based on stochastic processes aimed at addressing uncertainty issues in general aviation trajectory prediction. …”
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Utilizing an Innovative Gaussian Process Regression Machine Learning Algorithm for Estimating Unconfined Compressive Strength Predictions by Hazel Abraham

“…This article offers an advanced argument in using a Machine Learning algorithm known as Gaussian Process Regression to predict the UCS for mixtures of soils. …”
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Long-Term Prediction of Biological Wastewater Treatment Process Behavior via Wiener-Laguerre Network Model by Yasaman Sanayei, Naz Chaibakhsh, Ali Chaibakhsh, Ali Reza Pendashteh, Norli Ismail, Tjoon Tow Teng

“…The influent COD, MLVSS, and reaction time were selected as the process inputs and the effluent COD and BOD as the process outputs. …”
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Remaining Useful Life (RUL) Prediction Based on the Bivariant Two-Phase Nonlinear Wiener Degradation Process by Lijun Sun, Yuying Liang, Zaizai Yan

Subjects: “…two-phase Wiener process…”
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Nitrogen reduction with supplemental irrigation enhances yield by delaying leaf senescence and optimizing grain-filling process for ridge-furrow film mulching winter wheat by Xiaobo Gu, Yang Xu, Tongtong Zhao, Yadan Du, Yuanling Zhang, Yuyu Tian, Zhikai Cheng, Huanjie Cai, Zhandong Liu

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Using process-based life cycle assessment to help companies identify emission reduction potentials in their value chain: a case study in the petroleum industry by Mia Emborg, C. H. Gebara, S. I. Olsen

“…There is a need for minimizing inconsistency, boundary incompleteness, and activity exclusion in scope 3 accounting. Process-based life cycle assessment (pLCA) proposes a framework for systematic, in-depth process-level analysis which may strengthen scope 3 inventory boundary setting and activity prioritization. …”
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The development of mathematical model of process of information system monitoring by N. R. Storozhenko, A. I. Goleva

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Assessing the temporal transferability of machine learning models for predicting processing pea yield and quality using Sentinel-2 and ERA5-land data by Michele Croci, Manuele Ragazzi, Alessandro Grassi, Giorgio Impollonia, Stefano Amaducci

“…Accurate pre-harvest prediction of yield and quality (tenderometric reading, TR) is crucial for the processing pea industry due to a narrow optimal harvest window. …”
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Anime popularity prediction before huge investments: a multimodal approach using deep learning by Jesús Armenta-Segura, Grigori Sidorov

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Recent Progress in Hybrid Intelligent Modeling Technology and Optimization Strategy for Industrial Energy Consumption Processes by Sheng Du, Li Jin, Zixin Huang, Xiongbo Wan

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Determination of optimum nanofiltration conditions for the manufacturing process of human normal immunoglobulin G for intravenous administration by N. V. Zubkova, A. M. Nikolaeva, A. V. Ivanov, O. V. Beliakova, M. V. Razumikhin, N. V. Vinokurova, I. S. Efimova, T. I. Smolyanova, E. I. Sakanyan

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CFP-AL: Combining Model Features and Prediction for Active Learning in Sentence Classification by Keuntae Kim, Yong Suk Choi

“…In this study, we propose a new insight, CFP-AL (Combining model Features and Prediction for Active Learning), from the perspective of feature space by analyzing and diagnosing methods that have shown good performance in NLP (Natural Language Processing) sentence classification. …”
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Enhanced degradation of lindane in water by sulfite-assisted ultrasonic (SF/US) process: The critical role of generated aqueous electrons by Alin Xia, Haitao Yu, Longyuan Tan, Laxiang Yang

“…This study investigates the degradation of lindane (LND), a perchlorinated pesticide, using a sulfite-assisted ultrasonic (SF/US) process, focusing on the critical role of aqueous electrons (eaq–) in reductive dechlorination. …”
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InvarNet: Molecular property prediction via rotation invariant graph neural networks by Danyan Chen, Gaoxiang Duan, Dengbao Miao, Xiaoying Zheng, Yongxin Zhu

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Enhanced Multistep Prediction of Multivariate Market Indices Using Weighted Optical Reservoir Computing by Fang Wang, Ting Bu, Yuping Huang

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Prediction of ultimate tensile strength of Al‐Si alloys based on multimodal fusion learning by Longfei Zhu, Qun Luo, Qiaochuan Chen, Yu Zhang, Lijun Zhang, Bin Hu, Yuexing Han, Qian Li

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Nutritional value and prediction of digestible and metabolizable energy of full-fat deactivated soybeans for pigs by Teresinha Marisa Bertol, Jorge Vitor Ludke, Arlei Coldebella, Herbert Rech

“…This study shows that the processing conditions are the main factors affecting the energetic value of full-fat deactivated soybeans for pigs, which can be accurately predicted using a combination of chemical composition, quality indicators, and processing parameters.…”
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