Long Short-Term Memory Networks and Bayesian Optimization for Predicting the Time-Weighted Average Pressure of Shield Supporting Cycles by Wanzi Yan, Junhui Wang, Jingyi Cheng, Zhijun Wan, Keke Xing, Kuidong Gao

“…Despite the leap-forward development of underground data collection and transmission, mining and regional correlation analysis of massive shield data remains challenging. …”
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Impact of COVID-19 pandemic in the Brazilian maternal mortality ratio: A comparative analysis of Neural Networks Autoregression, Holt-Winters exponential smoothing, and Autoregress... by Mayara Carolina Cañedo, Thiago Inácio Barros Lopes, Luana Rossato, Isadora Batista Nunes, Izadora Dillis Faccin, Túlio Máximo Salomé, Simone Simionatto

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Analysis of clinical nurse educators’ mentoring feedback on new nurse journals at a tertiary hospital in South Korea: utilizing text network analysis by Shinhye Ahn, Hye Won Jeong

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A Field data- based method to determine the pressure-burst relationships in urban water distribution networks by Yasaman Taj Abadi, Mohamadreza Jalili Ghazizade, Iman Moslehi

“…Therefore, the development of models to predict precisely failure based on effective factors is necessary to achieve optimal leakage management in water distribution networks. Materials and methods: In the present study, using a developed model and Pressure and burst field data analysis in urban water distribution network, the relationship between pressure and burst rate for a district of Tehran has been determined. …”
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Slip Tendency Analysis From Sparse Stress and Satellite Data Using Physics‐Guided Deep Neural Networks by Thomas Poulet, Pouria Behnoudfar

“…In this paper, we propose a novel approach using a physics‐informed neural network that integrates stress orientation and satellite displacement observations in a top‐down multi‐scale framework to estimate two‐dimensional slip tendency analyses even in regions lacking comprehensive stress data. …”
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Optimization of machine learning methods for de-anonymization in social networks by Nurzhigit Smailov, Fatima Uralova, Rashida Kadyrova, Raiymbek Magazov, Akezhan Sabibolda

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Cloud server aging prediction method based on hybrid model of auto-regressive integrated moving average and recurrent neural network by Haining MENG, Xinyu TONG, Yuekai SHI, Lei ZHU, Kai FENG, Xinhong HEI

“…In view of the nonlinear, stochastic and sudden characteristics of operating environment of cloud server system, a software aging prediction method based on hybrid auto-regressive integrated moving average and recurrent neural network model (ARIMA-RNN) was proposed.Firstly, the ARIMA model performs software aging prediction of time series data in cloud server.Then the grey relation analysis method was used to calculate the correlation of the time series data to determine the input dimension of RNN model.Finally, the predicted value of ARIMA model and historical data were used as the input of RNN model for secondary aging prediction, which overcomes the limitation that ARIMA model has low prediction accuracy for time series data with large fluctuation.The experimental results show that the proposed ARIMA-RNN model has higher prediction accuracy than ARIMA model and RNN model, and has faster prediction convergence speed than RNN model.…”
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Topological Attention-Based Convolution Neural Networks in Analyzing and Predicting Particulate Matter Pollution Level by Zixin Lin, Nur Fariha Syaqina Zulkepli, Mohd Shareduwan Mohd Kasihmuddin, R. U. Gobithaasan

“…Objective To improve the prediction of hourly PM10 pollution levels by integrating topological data analysis (TDA) with attention-based convolutional neural networks (ABCNNs), focusing on classifying air quality into eight severity levels. …”
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Forecasting of Stock Returns based on the Approach of Bayesian Models Averaging; Quantum Finance and Continuous Wavelet Analysis by Fatemeh Sarraf, Zahra Nasiri, Mohammad Reza Tanhayi, Qudratullah Emam verdi, Ali Najafi aghdam

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Trading Community Analysis of Countries’ Roll-On/Roll-Off Shipping Networks Using Fine-Grained Vessel Trajectory Data by Shichen Huang, Tengda Sun, Jing Shi, Piqiang Gong, Xue Yang, Jun Zheng, Huanshuai Zhuang, Qi Ouyang

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3D tomographic analysis of equatorial plasma bubble using GNSS-TEC data from Indonesian GNSS Network by Ihsan Naufal Muafiry, Prayitno Abadi, Teguh N. Pratama, Dyah R. Martiningrum, Sri Ekawati, Yuandhika G. Wismaya, Febrylian F. Chabibi, Gatot H. Pramono

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Time to Onset of Action for Biologics and Targeted Treatments in Psoriasis: Systematic Targeted Literature Review and Network Meta-Analysis by Kim A. Papp, Ron Vender, Kerri Purdy, Fiona Lovegrove, Irina Oroz, Parbeer Grewal, Perla Lansang, Laura Park-Wyllie, Nastaran Abbarin, Ya-Wen Yang, Becky Hooper, Sandra Vigelis, Tim Disher, Richard G. Langley

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Probabilistic coupled EV‐PV hosting capacity analysis in LV networks with spatio‐temporal modelling and copula theory by Chathuranga D. W. Wanninayaka Mudiyanselage, Kazi N. Hasan, Arash Vahidnia, Mir Toufikur Rahman

“…Abstract The authors present an innovative approach for probabilistic coupled electric vehicle (EV) and solar photovoltaics (PV) hosting capacity analysis in low‐voltage (LV) distribution networks. …”
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Analysis of Deep Learning Techniques for Vehicle Detection and Reidentification Using Data from Multiple Drones and Public Datasets by FELIPE P.A. EUPHRÁSIO, RAFAEL M. DE ANDRADE, ELCIO H. SHIGUEMORI, LIANGRID L. SILVA, MOISÉS JOSÉ S. FREITAS, NATHAN AUGUSTO Z. XAVIER, ARGEMIRO S.S. SOBRINHO

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Efficiency evaluation of Taiwan’s commercial banks after IFRS adoption: A two-system network data envelopment approach by Hsiung Nan-Hsing, Chao Chuang-Min, Yua Ming-Miin

“…This study introduces an extended non-convex two-system network data envelopment analysis (DEA) model, which decomposes the production process into two sub-processes: profitability and marketability stages. …”
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Construction of an Intelligent Analysis System for Crop Health Status Based on Drone Remote Sensing Data and CNN by Haolin Yang, Peilong Xu, Shengtian Zhang, Hyeonseok Kim, Incheol Shin

“…To address the shortcomings of traditional monitoring methods, which are characterized by high labor intensity, low efficiency, and insufficient timeliness, this paper proposes an innovative intelligent analysis system. The system uses remote sensing data from drones and convolutional neural network technology to achieve efficient crop classification and accurate identification of pests and diseases. …”
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DuPont profitability analysis of different types of agricultural farms in Croatia by Vesna OČIĆ, Zoran GRGIĆ, Branka ŠAKIĆ BOBIĆ, Kristina BATELJA LODETA, Tihana KOVAČIĆEK

“…The Farm Accountancy Data Network (FADN) is a European data collection system with the aim of annual determination of the farm income and business analysis of the agricultural farm. …”
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Markov-CVAELabeller: A Deep Learning Approach for the Labelling of Fault Data by Christian Velasco-Gallego, Nieves Cubo-Mateo

“…The lack of fault data is still a major concern in the area of smart maintenance, as these data are required to perform an adequate diagnostics and prognostics of the system. …”
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Automatic plant disease detection using computationally efficient convolutional neural network by Muhammad Rizwan, Samina Bibi, Sana Ul Haq, Muhammad Asif, Tariqullah Jan, Mohammad Haseeb Zafar

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Evaluation and Analysis of Environmental Noise Pollution in Seven Major Cities of India by Naveen GARG, A. K. SINHA, M. DAHIYA, V. GANDHI, R. M. BHARDWAJ, A. B. AKOLKAR

“…The paper describes the noise monitoring data acquired from the pilot project on the establishment of National Ambient Noise Monitoring Network (NANMN) across seven major cities in India for continuous noise monitoring throughout the year. …”
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