Buildings, Causalities, and Injuries Innovative Fuzzy Damage Model during Earthquakes by Mohammad Reza Amiri Shahmirani, Abbas Akbarpour Nikghalb Rashti, Mohammad Reza Adib Ramezani, Emadaldin Mohammadi Golafshani

“…One of the human concerns has always been to estimate the damage caused before the earthquake and predict the extent of injuries and causalities. An effective model should be developed based on the field survey data for appropriate prediction. …”
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Public-Transportation-Assisted Data Delivery Scheme in Vehicular Delay Tolerant Networks by Yong Feng, Ke Liu, Qian Qian, Feng Wang, Xiaodong Fu

“…In this paper, we firstly present a destination-gathering-based driving path prediction method for taxis, which can make taxis' driving paths prescient in the initial stage of carrying passengers every time. …”
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5-DOF Dynamic Modeling of Rolling Bearing with Local Defect considering Comprehensive Stiffness under Isothermal Elastohydrodynamic Lubrication by Pengfei Yan, Changfeng Yan, Kai Wang, Fengtao Wang, Lixiao Wu

“…This model is helpful for the optimization, the correct use of lubricants, and life prediction of rolling bearing.…”
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Research status and development trends of dust concentration monitoring technology by ZHANG Yongqi, WANG Jie, ZHOU Yuhao, YANG Junni, DENG Bin

“…It is proposed that future efforts should be dedicated to integrating dust concentration monitoring technologies with emerging technologies such as machine learning, deep learning, computer vision, and big data analysis and prediction. This integration will facilitate the integration and application of intelligent detection technologies with dust-related occupational hazard monitoring and early warning systems and provide reference for intelligent and automated dust control in future industrial scenarios.…”
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Quantitative Characterization Model of Macroscopic Mechanical Properties of Recycled Concrete Based on Porosity and Pore Sizes by Haiyu Chen, Fuwei Xu

“…In comparison to existing models of the strength-pore structure, the established quantitative characterization model provided a more precise depiction of the relationship of the macroscopic mechanical properties of the recycled concrete between porosity and pore sizes, resulting in enhanced accuracy in prediction outcomes.…”
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A New Technique of Removing Blind Spots to Optimize Wireless Coverage in Indoor Area by A. W. Reza, K. Dimyati, K. A. Noordin, M. J. Islam, M. S. Sarker, H. Ramiah

“…Moreover, in terms of experimental analysis, the coverage prediction successfully reaches 99% and, thus, the proposed coverage model effectively guarantees the removal of blind spots.…”
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Floor Disturbance and Failure Characteristics of Super-Large Mining Height Working Face by Cunjin Lu, Jinpeng Xu, Hui Zhao, Heng Zhang, Yian Zhang, Mingyue Chen

“…The failure depth of the working face floor caused by mining is a key parameter to predict water inrush from the working face floor. …”
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Fog Study at Ardabil Airport for the Statistical Period From 2011 to 2020 by Razieh Pahlavan, Mohammad Moradi, Sahar Tajbakhsh, Majid Azadi, Mehdi Rahnama

“…Climatology of fog can help better diagnosis and prediction of fog. In this study, METAR data from 2011 to 2020 were used to detect fog events at Ardebil Airport and according to the classification algorithm of Tardif and Rasmussen (2007), the types of events were determined. …”
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Schwinger-Type Pair Production in Non-SUSY AdS/CFT by Udit Narayan Chowdhury

“…From the later investigation, we note the resemblance with our earlier prediction. However, we also see that for and below another certain value of the parameter δ, the pair production rate of particle/antiparticle pairs blows up as the external electric field is taken to zero. …”
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Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Cat Swarm Optimization by Kuan-Cheng Lin, Yi-Hung Huang, Jason C. Hung, Yung-Tso Lin

“…Recently, applications of Internet of Things create enormous volumes of data, which are available for classification and prediction. Classification of big data needs an effective and efficient metaheuristic search algorithm to find the optimal feature subset. …”
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Preparation and Characterization of Chitosan/Feldspar Biohybrid as an Adsorbent: Optimization of Adsorption Process via Response Surface Modeling by Maryam Yazdani, Hajir Bahrami, Mokhtar Arami

“…The adequacy of the model was investigated by the correlation between experimental and predicted data of the adsorption and the calculation of prediction errors. …”
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Ensemble learning-based predictor for driver synonymous mutation with sequence representation. by Chuanmei Bi, Yong Shi, Junfeng Xia, Zhen Liang, Zhiqiang Wu, Kai Xu, Na Cheng

“…EPEL is designed with flexibility, allowing users to retrain the prediction model and generate effect scores for synonymous mutations in human cancers. …”
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Measuring Spatial Expansion of Tehran Metropolis and its Impact on Environmental Changes by Asghar Teymouri, Jamileh Tavakolinia, Abolfazl Meshkini

“…The results of the Markov Chain Model prediction of the probability of land use changes and land cover up to 1405 also indicate that land use and land cover changes will continue in favor of constructed lands. …”
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Persistence of Soil Enthalpy Drives the Winter and Summer Climate Connection in the Tibetan Plateau by Zouxing Lin, Zhiyan Zuo, Renhe Zhang, Dong Xiao, Qinglong You, Liang Qiao

“…Abstract Although some outcomes have been reported, our knowledge of the Tibetan Plateau (TP) climate and its prediction remains unclear due to land surface complexity and observational uncertainty. …”
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Experimental Accuracy and Stability of Gas Outburst Experimental System by Yanbao Liu, Haitao Sun, Bo Wang, Linchao Dai, Jie Cao

“…At present, the gas-rock coupling change mechanism and intensity prediction of gas outburst are not clear. The research of gas outburst simulation experiment is particularly important. …”
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Field Observations During the Tenth Microwave Water and Energy Balance Experiment (MicroWEX-10): from March 1, 2011 through January 5, 2012 by Tara Bongiovanni, Pang-Wei Liu, Karthik Nagarajan, Daniel Preston, Patrick Rush, Xueyang Duan, Guanbo Chen, Robert Terwilleger, Alejandro Monsivais-Huertero, Roger De Roo, Jasmeet Judge, Ruzbeh Akbar, Mary Morris, Olivia Williams, Lindsey Marks, Courtnay Cardozo, Mahta Moghaddam, Anthony England

“… For accurate weather prediction, accurate modeling of surface hydrological processes is very important. …”
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Established Digital Model of Fruit Body Growth of Agrocybe cylindracea Based on Network Programming by Long Wang, Lingli Li, Qingping Zhou

“…Crop growth models, as one of their core components, can dynamically simulate the crop growth and development process and its relationship with climate factors, soil properties, and management techniques, thus effectively overcoming the strong spatial and temporal limitations in traditional agricultural production management research and providing quantitative tools for early warning and effect assessment of crop productivity prediction under different conditions. This study focuses on the general technical approach, the latest research progress, and future development thinking developed by the authors in the construction and application of the tea mushroom growth model. …”
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Wave Attenuation and Dispersion in a 6 mm Diameter Viscoelastic Split Hopkinson Pressure Bar and Its Correction Method by Haotian Zhang, Linjian Ma, Zongmu Luo, Ning Zhang

“…A feasible method by waveform prediction was proposed to verify the validity and applicability of the propagation coefficient. …”
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Using Simplified Models to Assist Fault Detection and Diagnosis in Large Hydrogenerators by Geraldo Carvalho Brito Junior, Roberto Dalledone Machado, Anselmo Chaves Neto

“…These changes prevent the accurate determination of bearing dynamic coefficients and make the prediction of these machines dynamic behavior unfeasible, even using refined models. …”
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Biochar-amended soil can further sorb atmospheric CO2 for more carbon sequestration by Xiangyang Gui, Xiaoyun Xu, Zehong Zhang, Liyang Hu, Wenfeng Huang, Ling Zhao, Xinde Cao

“…Further, the country-level prediction showed that all cultivated top soils with biochar application in China could achieve 7.38–12.5 billion tons of carbon sequestration and an additional 0.34–2.66 billion tons of CO2 sorption. …”
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