Two-Dimensional DOA Estimation for Coprime Planar Arrays: From Array Structure Design to Dimensionality-Reduction Root MUSIC Algorithm by Yunhe Shi, Xiaofei Zhang, Shengxinlai Han

“…On the algorithmic side, we introduce a dimensionality-reduction root MUSIC algorithm tailored for uniform planar arrays after virtualization. …”
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Process Line for Waste Heat Recovery in the Production of Stretch Film Based on Compressor Heat Pumps with Environmentally Friendly Refrigerants by Paweł Obstawski, Jacek Słoma, Krzysztof Górnicki, Michał Awtoniuk

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Accurately predict product temperature during high-temperature Daqu fermentation process based on mathematical modelling by YAO Cuiping, LI Yuping, WU Zhongyu, ZHU Chutian, ZHU Zhiyu, CHENG Yanbo, JIAO Fu, GONG Jiaxin, JIA Wensheng, MOU Mingyue, HUANG Yongguang

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Research progress on synergistic efficiency of pollution reduction and carbon reduction based on microalgae technology by ZHANG Xiao, ZHANG Lijie, WANG Bo, CHEN Junren, REN Zian, QI Yuejun

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The impact of institutional openness on the synergistic effect of air pollution reduction and carbon reduction in China by Yang Wang, Kexin Zhang, Junhua Guo

“…Mechanism analysis found that upgrading industrial structures, energy efficiency, green technology innovation, and public environmental awareness are the critical mechanisms for realizing this process. Spatial spillover effects found that institutional openness significantly reduces the synergistic effect of air pollution reduction and carbon reduction in adjacent areas.…”
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A Natural Language Processing Model for Predicting Five-Star Ratings of Video Games on Short-Text Reviews by Piyush Jaiswal, Hardik Setia, Pranshu Raghuwanshi, Princy Randhawa

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Predicting oil accumulation by fruit image processing and linear models in traditional and super high-density olive cultivars by Giuseppe Montanaro, Antonio Carlomagno, Angelo Petrozza, Francesco Cellini, Ioanna Manolikaki, Georgios Koubouris, Vitale Nuzzo

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Author Correction: Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality by Mohammad Zangane, Mohammad Shahbazi, Seyed Ali Niknam

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Legal Judgment Prediction using Natural Language Processing and Machine Learning Methods: A Systematic Literature Review by Nasa Zata Dina, Sri Devi Ravana, Norisma Idris

“…Legal Judgment Prediction (LJP) study is experiencing a growing need for automating legal judgment process to predict court decisions. …”
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Hybrid framework for improved PM2.5 prediction based on seasonal-trend decomposition and tailored component processing by Dongbao Jia, Wenjun Ruan, Rui Ma, Shiwei Zhao, Yichen Wang, Wei Xu, Weijie Zhou, Xinxin Ge, Zhongxun Xu

“…Abstract Precise prediction of PM2.5 concentrations is crucial for effective environmental management and the safeguarding of public health. …”
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Development and Evaluation of Neural Network Architectures for Model Predictive Control of Building Thermal Systems by Jevgenijs Telicko, Andris Krumins, Agris Nikitenko

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Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction by Seiya Takano, Tomohiko Jimbo

“…To achieve high accuracy through recursive multi-step-ahead prediction using GP, large computational resources are required. …”
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Improving the Performance Prediction of Process Simulation Models for TBM Tunneling Using Real-Time Project Data by Annika Jodehl, Judith Berns, Markus Thewes, Markus König

“…The benefits of using real-time data in process simulation during construction are discussed, highlighting the improved accuracy in performance prediction and the potential for more efficient project management.…”
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Data-Driven Loan Default Prediction: A Machine Learning Approach for Enhancing Business Process Management by Xinyu Zhang, Tianhui Zhang, Lingmin Hou, Xianchen Liu, Zhen Guo, Yuanhao Tian, Yang Liu

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Multimodal deep learning for enhanced temperature prediction with uncertainty quantification in directed energy deposition (DED) process by Adrian Matias Chung Baek, Taehwan Kim, Minkyu Seong, Seungjae Lee, Hogyeong Kang, Eunju Park, Im Doo Jung, Namhun Kim

“…The accurate and reliable prediction of temperature history is crucial in meeting the ever-increasing demands for part quality and process reliability in metal additive manufacturing (AM). …”
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Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms by WANG Yongshun, CUI Dongwen

Subjects: “…TN prediction…”
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EventFormer: a hierarchical neural point process framework for spatio-temporal clustering events prediction by Shanshan Yu, Danhuai Guo, Yanjie Fu, Wei Jin

Subjects: “…Event sequence prediction…”
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Experimental investigation on modelling and prediction of optimal process parameters for the wear behaviour of hybrid polymer matrix composite by K. Karthik, K. Elavarasan, Beemkumar Nagappan, Subhaprada Dash, Krishna Kumar Shukla, Arpit Arora, Venkata Ramesh Reddy V, Kamakshi Priya Kumar

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Hybrid Gaussian Process Regression Models for Accurate Prediction of Carbonation-Induced Steel Corrosion in Cementitious Mortars by Teerapun Saeheaw

Subjects: “…Gaussian Process Regression…”
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Machine learning-based prediction of pervaporation permeation using physicochemical properties of permeant-membrane and process conditions by Muhammad Mujiburohman, Marwen Elkamel, Farzad Hourfar, Ali Elkamel

“…It is well accepted that the pervaporation (PV) permeation was affected by the physicochemical properties of permeant-membrane materials and process conditions. Given many experimental data of PV, a predictive model on PV permeation based on their physicochemical properties and process conditions can be constructed. …”
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