Deep Learning Methods for Inferring Industrial CO₂ Hotspots from Co-Emitted NO₂ Plumes by Erchang Sun, Shichao Wu, Xianhua Wang, Hanhan Ye, Hailiang Shi, Yuan An, Chao Li

“…Deep learning, leveraging its strengths in the automated and rapid analysis of image datasets, holds significant potential to enhance the efficiency and effectiveness of data processing in the GST. …”
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ARIMA Markov Model and Its Application of China’s Total Energy Consumption by Chingfei Luo, Chenzi Liu, Chen Huang, Meilan Qiu, Dewang Li

“…Comparative analysis demonstrates that the ARIMAMKM model outperforms five other competitive models: the grey model (GM(1,1)), ARIMA(0,4,2), quadratic function model (QFM), nonlinear auto regressive neural network (NAR), and fractional grey model (FGM(1,1)) in terms of fitting performance. …”
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DETERMINANTS OF PROFITABILITY OF SMALL-SCALE PLANTAIN PROCESSING ENTREPRENEURS IN OSUN STATE, NIGERIA by Adeyose Emmanuel AKINBOLA, Oluyede Adeleke ATURAMU

“…Descriptive statistics, gross margin, and Ordinary Least Square (OLS) were used for the analysis of the data. The results showed that the enterprise was dominated by female households (70.8%) with an average age of 30 years. …”
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Hyperspectral Imaging for Non-Destructive Moisture Prediction in Oat Seeds by Peng Zhang, Jiangping Liu

“…Subsequently, a dual-optimized neural network model, termed Bayes-ASFSSA-BP, was developed by incorporating Bayesian optimization and the Adaptive Spiral Flight Sparrow Search Algorithm (ASFSSA). …”
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Evaluating the slope behavior for geophysical flow prediction with advanced machine learning combinations by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom

“…In this research work, learning abilities of the Class Noise Two (CN2), Stochastic Gradient Descent (SGD), Group Method of Data Handling (GMDH) and artificial neural network (ANN) have been investigated in the prediction of the factor of safety (FOS) of slopes. …”
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A VCA Combined MHSA-CNN for Aero-Engine Hot Jet Remote Sensing Mixed Spectral Feature Extraction by Zhenping Kang, Yurong Liao, Xinyan Yang, Zhaoming Li

“…Initially, the vertex component analysis (VCA) algorithm was utilized to decompose the mixed spectra. …”
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Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets by Retinderdeep Singh, Sheifali Gupta, Ashraf Osman Ibrahim, Lubna A. Gabralla, Salil Bharany, Ateeq Ur Rehman, Seada Hussen

“…This study proposes a novel ensemble deep learning system for accurate brain tumor classification using MRI data. The proposed system integrates fine-tuned Convolutional Neural Network (CNN), ResNet-50 and EfficientNet-B5 to create a dynamic ensemble framework that addresses existing challenges. …”
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Optimizing sustainable blended concrete mixes using deep learning and multi-objective optimization by Rupesh Kumar Tipu, Preeti Rathi, Kartik S. Pandya, Vijay R. Panchal

“…The Bayesian hyperparameter tuning technique produces an optimal network configuration which delivers an average $$R^2$$ of 0.936 together with an RMSE of 5.71 MPa during 5-fold cross-validation. …”
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Augmented Reality Interactive Guide System and Method for Tourist Attractions Based on Geographic Location by Xueqiu Zhuang, Huihua Jiao, Kai Lu

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An Optimized GWO-BPNN Model for Predicting Corrosion Fatigue Performance of Stay Cables in Coastal Environments by Liping Zhou, Guowen Yao

“…Sensitivity analysis identifies stress range, average stress, and mass loss as primary determinants of fatigue life, highlighting the dominant influence of corrosion and stress factors on structural degradation. …”
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A Refined Multipath Correction Model for High-Precision GNSS Deformation Monitoring by Yan Chen, Ran Lu, Xingyu Zhou, Mingkun Su, Mingyuan Zhang

“…We propose a novel GNSS multipath correction approach that leverages multi-day post-fit residual data and principal component analysis to extract stable multipath signals, integrating them into an enhanced spatial repeatability multipath correction model. …”
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Application of Vis/NIR Spectroscopy in the Rapid and Non-Destructive Prediction of Soluble Solid Content in Milk Jujubes by Yinhai Yang, Shibang Ma, Feiyang Qi, Feiyue Wang, Hubo Xu

“…Regression models, including support vector regression (SVR), partial least squares regression (PLSR), multiple linear regression (MLR), and backpropagation neural network (BP), were compared. Based on a comprehensive analysis of the above results, the DAUASE + KS + SG + SNV + CARS + SVR model exhibited the highest prediction performance. …”
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Degradation and Migration Characteristics and Water‐Inrush Mechanism of Overburden Roof Under High‐Intensity Mining by Min Cao, Shangxian Yin, Xu Wang, Shuqian Li, Qixing Li, Yulong Di

“…For 90% of the predicted data, the error rate of the BP neural network model was less than 0.5%, with an average error of approximately 3%. (2) Through two similar simulation tests, where only the mining height of the coal seam (3 and 6 m) was varied while controlling other variables, it was concluded that higher mining heights lead to more severe damage and obvious fracture development in overlying rock. …”
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Determinação da equação intensidade-duração-frequência para três estações meteorológicas do Estado de Mato Grosso Determination of the intensity-duration-frequency equation for thr... by Samantha S. Garcia, Ricardo S. S. Amorim, Eduardo G. Couto, Werico H. Stopa

“…The historical series of average maximum intensity of precipitation, corresponding to the different durations were submitted to statistical analysis to identify the probabilistic model that presented best fit for the data, this identification being performed using the adherence test of Kolmogorov-Smirnov at 5% level of significance. …”
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Prevalence of stillbirth deliveries and associated factors at Princess Christian Maternity Hospital, Sierra Leone, 2019 to 2022 by Lilian Kumba Admire-Taylor, Adel Hussein Elduma, Amara Alhaji Sheriff, Solomon Aiah Sogbeh, Umaru Sesay, Anna Jammeh, Awol Yemane, Kofi Mensah Nyarko, Aminata Koroma, Joseph Kanu, James Sylvester Squire, Mohamed Vandi, Gebrekrstos Negash Gebru

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Worldwide distribution of genetic factors related to severity of COVID-19 infection by María Esther Esteban, Débora Pino, Alicia Romero-Lorca, Apolonia Novillo, María Gaibar, José A. Riancho, Augusto Rojas-Martínez, Carlos Flores, Pablo Lapunzina, Ángel Carracedo, Georgios Athanasiadis, Ana Fernández-Santander

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Variability of Hydro-Meteorological Fluxes in North West Himalayan Basins for Hydrological and Sustainability Studies by Rachit, A. Masiwal, S. Singla, G. Singhal, P. K. Thakur, V. Garg, S. Romshoo, S. Romshoo

“…The study employs near real-time (~1-day latency) hydrological flux data from the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) at a spatial resolution of 0.01°. …”
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Application of Mask R-CNN for automatic recognition of teeth and caries in cone-beam computerized tomography by Yujie Ma, Maged Ali Al-Aroomi, Yutian Zheng, Wenjie Ren, Peixuan Liu, Qing Wu, Ye Liang, Canhua Jiang

“…For the verification of tooth recognition, the data from the validation set were randomly selected for analysis. …”
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Risk factors for and a preliminary prediction model of coronary artery calcification in patients beginning hemodialysis by Hao Xiong, Cuifang Sun, Jie Song, Yan Yu, Chang Wang, Fang Yuan

“…Abstract Background and hypothesis Vascular calcification (VC) is an important risk factor for cardiovascular events in patients undergoing maintenance hemodialysis (MHD); however, there is limited data on VC-related factors in patients beginning hemodialysis. …”
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Prediction of transcript isoforms and identification of tissue-specific genes in cucumber by Wenjiao Wang, Chengcheng Shen, Xinqiang Wen, Anqi Li, Qi Gao, Zhaoying Xu, Yuping Wei, Yushun Li, Dailu Guan, Bin Liu

“…This study presented here adds the great value to the public data and offers insights for further exploration of a more comprehensive tissue regulatory network in cucumber.…”
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