Investigating Trends and Costs Associated with Designing Concrete Mixes Using Different Methods by Computer Programs by Mohammed Abdul Qader, Ahmed Ibrahim, Al-Badr Alaidaros, Abdul Kareem Abdulkareem, Abdullah Alwuayl, Abdullah Alsaluli, Mamdooh Alwetaishi, Mishal Alsehli, Saleh Alghamdi

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Development of wastewater treatment methods for palm oil mill effluent (POME): A comprehensive review by Andriy Anta Kacaribu, Yuliani Aisyah, Febriani, Darwin

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Advances in Concrete Demolition Technologies: A Review of Conventional and Emerging Methods for Sustainable Waste Management by Mohsen Mohammadi, Saman Mostafa Mohammad, Mehdi Roshanbin, Gilson R. Lomboy, Shahriar Abubakri

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Non-parametric Statistical Methods to Predict the Benefits of Switching to E-learning, by Application on Saudi Universities by Afrah Yahya AL Alrezami

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Video Spectral Methods and Tools for Monitoring of Controlled Parameters of Forest Fires and Oil Spill Accidents by A. S. Sizikov, Y. V. Belyaev, I. M. Tsykman, A. P. Popkov

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Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

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Application of high-level methods of compromise optimization for control of autonomous robotized open pit mining by S. A. Golovin, S. V. Zykov, Yu. P. Korablin, D. A. Kryukov

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A Multisource Data Fusion Modeling Prediction Method for Operation Environment of High-Speed Train by Decang Li, Juhui Zhang, Ruxun Xu, Jianjun Meng, Jianming Wang, Xiaoqiang Chen, Xin Jia, Junhui Ma

“…Therefore, this paper proposes a novel multisource sensor data fusion method based on a three-level information fusion framework. …”
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Tissue Is the Issue: A Systematic Review of Methods for the Determination of Infarct Volume in Acute Ischaemic Stroke by Fatimah Al Ahmed, Patrick Kennelly, Darragh Herlihy, Jorin Bejleri, David J. Williams, John J. Thornton, Shona Pfeiffer

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High-Quality Development Evaluation of Cultural and Tourism Integration Empowered by the Digital Economy under Double Valued Neutrosophic Sets by Jun Wang, Xiong Hu

“…Two methods are used in this study, such as Entropy method to compute the criteria weights and the MABAC method to rank the alternatives. …”
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Novel cost-effective method for forecasting COVID-19 and hospital occupancy using deep learning by Nabil I. Ajali-Hernández, Carlos M. Travieso-González

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Delay Constrained Hybrid Task Offloading of Internet of Vehicle: A Deep Reinforcement Learning Method by Chenhao Wu, Zhongwei Huang, Yuntao Zou

“…To perform optimal offloading decision-making, we introduce a dynamic decision-making method, namely deep Q networks (DQN). …”
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Optimal Equipment Configuration Method for Electric Vehicle Charging Stations Considering User Response Characteristics by Jun YAN, Yujie LUO, An YAN, Wei HE, Tao HAN, Jun YANG

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Software engineering teaching quality assessment system based on dempster’s formula and hierarchical analysis method by Tinghong Gao

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A Condition Monitoring Method of Hydraulic Gear Pumps Based on Multilevel Mechanism-Data Fusion by Linlin Ren, Hongbo Ma, Wen Zhou, Shuhan Huang, Xueying Wu

“…Experimental verification shows that the accuracy of the three levels of fusion models exceeds 96.9%. Compared to the single data-driven model or other traditional data-driven models, the accuracy of the proposed method has improved by 3% to 33%, demonstrating the effectiveness of the mechanism-data fusion model.…”
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Priority setting of teleoncology services, and their barriers, and facilitators from oncologists and patients perspectives: a mixed-methods study by Sareh Keshvardoost, Kambiz Bahaadinbeigy, Soodabeh Shahidsales, Farhad Fatehi, Sharareh Rostam Niakan Kalhori

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Study on the effect of simulation-based case teaching method on the preclinical teaching of tooth defects restoration by Xiaoshi Jia, Jiawen Guo, Maodan Wu, Xiaodong Wang, Le Fan, Yichen Yao, Xiaoyi Deng, Ling Yang

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Machine learning for efficient CO2 sequestration in cementitious materials: a data-driven method by Yanjie SUN, Chen ZHANG, Yuan-Hao WEI, Haoliang JIN, Peiliang SHEN, Chi Sun POON, He YAN, Xiao-Yong WEI

“…To address these challenges, this paper applies three advanced machine-learning techniques (Decision Tree, Random Forest, and eXtreme Gradient Boosting (XGBoost)), with existing datasets coupling with data collected from the literature. …”
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An Analytical Method for Fast Optimization of Multireservoir Hydropower Systems Operations Considering Risk‐Return Tradeoffs by S. Jamshid Mousavi, Kumaraswamy Ponnambalam

“…Earlier implementations have developed expressions for mean and variance of storages and releases, including deficits and surpluses, to estimate fairly accurate values of the linear and quadratic objective functions when compared with other well‐known methods. This paper introduces analytical derivations of hydropower equations to be used in the recent extension of the FP method and applies it to a long‐term operations optimization problem of a three‐reservoir system in Iran. …”
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Prediction of coal dust particle size after spraying dust reduction in roadway based on orthogonal experiment and regression analysis by Bingyou JIANG, Yuqian ZHANG, Changfei YU, Ben JI, Haoyu WANG, Zhuang LIU

“…Based on the comprehensive experimental platform for spray dust removal, orthogonal experiments and regression analysis methods were applied to study the change rule of coal dust characteristic particle size D90 after spray dust reduction under the effect of three factors, namely, spray frame distance from dust source, tunnel wind speed and nozzle water supply pressure, and correlation analysis was carried out on 25 groups of experimental results. …”
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