Research of the Effective Diffusion Coefficient and Activation Energy for the Purpose of Energy Saving during Convection Dryin by J. E. Safarov, Sh. A. Sultanova, G. Gunes, A. S. Ponasenko, D. I. Samandarov, M. M. Pulatov, A. M. Mirkomilov, M. A. Nasirova

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Evaluation of Pollution load and Factors on Water Quality based on Watershed Model in Okjeong Lake by Yong-Hoon Jeong, Yong-Ho Choi, Hong-Hue Thi Nguyen, Seung-Hyun Yoon, In-Gyong Yi, Dong-Heui Kwak

“…The results of correlation analysis, multiple regression analysis, and factor analysis using hydrological and water quality data from Okjeong Lake and its upstream watersheds indicated that the water quality load from Seomjin River had a greater impact on the water quality of Okjeong Lake than the inflow from Churyeong-cheon. …”
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A Copula-Driven CNN-LSTM Framework for Estimating Heterogeneous Treatment Effects in Multivariate Outcomes by Jong-Min Kim

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MONETARY AND CREDIT FACTORS OF INCREASING DOMESTIC INVESTMENT DEMAND IN THE RUSSIAN ECONOMY by M. A. Abramova, L. L. Igonina

“…The study is based on the use of systematic, evolutionary and institutional approaches and the artificial neural network method. To calculate data about the volumes and dynamics of investment loans the authors applied the method of indirect calculation using data from Bank of Russia of loans to non-financial enterprises and the Federal state statistics service on the value of business investment in fixed capital, and the share of Bank loans in total sources of financing investments in fixed capital.Result. …”
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Driving innovations in cancer research through spatial metabolomics: a bibliometric review of trends and hotspot by Shupeng Chen, Yuzhe Zhang, Xiaojian Li, Ye Zhang, Yingjian Zeng

“…Analysis of key authors and institutions identifies He Jiuming as the most prolific author and Song Xiaowei as the researcher with the highest average citations. …”
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Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete by George Uwadiegwu Alaneme, Kolawole Adisa Olonade, Ebenezer Esenogho, Mustapha Muhammad Lawan, Edward Dintwa

“…Performance analysis of the AI models showed that the ANN model had an average MSE of 1.338, RMSE of 1.157, MAE of 3.104, and R2 of 0.989, while the ANFIS model outperformed with an MSE of 0.345, RMSE of 0.587, MAE of 1.409, and R2 of 0.998. …”
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Spatiotemporal Variation Characteristics and Influencing Factors of Water Transparency in the Pilot Zone of Yangtze River Delta by WANG Yu, ZHOU Wei-qi, BAI Meng-yu, SU Han, HU Wei

“…[Objective] This study focuses on typical water bodies (lakes, rivers inside the polder area, and rivers outside the polder area) in the pilot zone of the Yangtze River Delta, aiming to: (1) analyze the spatiotemporal differentiation characteristics of water transparency (Secchi Depth,SD) in the three typical water bodies; (2) identify the key drivers of SD through correlation and regression models; (3) propose SD improvement thresholds based on the light compensation requirements of submerged vegetation restoration, providing scientific evidence for precise water quality management in plain river networks. [Methods] The study was based on field monitoring data from April to December 2023, focusing on water transparency and other water quality indicators in the Pilot Zone. …”
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A Simulation Model for the Transient Characteristics of No-Insulation Superconducting Coils Based on <i>T–A</i> Formulation by Zhihao He, Yingzhen Liu, Chenyi Yang, Jiannan Yang, Jing Ou, Chengming Zhang, Ming Yan, Liyi Li

“…To verify the model’s accuracy, simulation results are compared against the <i>H</i> formulation, distributed circuit network (DCN) model, and experimental data. The proposed <i>T–A</i> model accurately reproduces key transient characteristics, including magnetic field evolution and radial current distribution, in both circular and racetrack NI coils. …”
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A three stage attention enabled stacked deep CNN-BiLSTM (ASDCBNet) model for end-to-end monitoring of wastewater treatment plant by S. Ullas, B. Uma Maheswari, Seshaiah Ponnekant, T. M. Mohan Kumar

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Detection and interpretation of the time-varying seasonal signals in China with multi-geodetic measurements by Liansheng Deng, Yugang Xiao, Qusen Chen, Wei Peng, Zhao Li, Hua Chen, Zhiwen Wu

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Machine learning to identify suitable boundaries for band-pass spectral analysis of dynamic [ $$^{11}$$ 11 C]Ro15-4513 PET scan and voxel-wise parametric map generation by Zeyu Chang, Colm J. McGinnity, Rainer Hinz, Manlin Wang, Joel Dunn, Ruoyang Liu, Mubaraq Yakubu, Paul Marsden, Alexander Hammers

“…The process currently requires the manual selection of frequency ranges based on the data. To enhance the efficiency of band-pass spectral analysis and extend its application to a broader range of tracers, we propose employing machine learning to automate the selection of spectral boundaries. …”
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Rapid screening and optimization of CO2 enhanced oil recovery operations in unconventional reservoirs: A case study by Shuqin Wen, Bing Wei, Junyu You, Yujiao He, Qihang Ye, Jun Lu

“…Three different methods, namely random forest (RF), support vector regression (SVR), and artificial neural network (ANN), were used to establish proxy models using the data from a specific unconventional reservoir, and the RF model demonstrated a preferable performance. …”
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Sustainable AI for plant disease classification using ResNet18 in few-shot learning by Fareeha Naveed, Adven Masih, Jabar Mahmood, Moeez Ahmed, Aitizaz Ali, Aysha Saddiqa, Mohamed Shabbir Hamza Abdulnabi, Ebenezer Agbozo

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Assessing the interactions between time series signals using weighted horizontal visibility graphs by Arya Teymourlouei, James Reggia, Rodolphe Gentili

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Computational modelling reveals neurobiological contributions to static and dynamic functional connectivity patterns by Linnea Hoheisel, Linnea Hoheisel, Hannah Hacker, Gereon R Fink, Gereon R Fink, Silvia Daun, Silvia Daun, Joseph Kambeitz, Joseph Kambeitz

“…In addition, we used a group-average perturbation approach to investigate the effect of coupling in each region on overall network connectivity.Our models could replicate empirical sFC and TC but not the FC variance or node cohesion (NC). …”
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Comparison of processing speed of NRS-ANN hybrid and ANN models for oil production rate estimation of reservoir under waterflooding by Paul Theophily Nsulangi, Werneld Egno Ngongi, John Mbogo Kafuku, Guan Zhen Liang

“…This study compared the predictive performance and processing speed of an artificial neural network (ANN) and a hybrid of a numerical reservoir simulation (NRS) and artificial neural network (NRS-ANN) models in estimating the oil production rate of the ZH86 reservoir block under waterflood recovery. …”
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Combining Endpoint Detection and One-Dimensional CNN-Based Classifier for Non-Technical Loss Screening in Smart Grids by Ping-Tzan Huang, Feng-Chang Gu, Chia-Hung Lin, Chao-Lin Kuo, Neng-Sheng Pai, Yung-Chang Luo, Wen-Cheng Pu

“…These standard electricity-consumption models (SECM), along with their associated consumption patterns, can be further used for applications in load forecasting, technical loss (TL) analysis, and non-technical loss (NTL) detection. Therefore, this study applies the SECM to NTL detection by proposed novel screening model that combines the endpoint detection (EPD) and short-time Fourier transform (STFT) with a one-dimensional (1D) convolutional neural network (1D CNN) based classifier. …”
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Thermodynamic Modeling of Hashtag Dynamics for Social Media Clustering: A Maxwell-Boltzmann Approach by Krishnan Batri, Rajermani Thinakaran, Bhuvana Jayabalan, L. Karthikeyan, S. Lakshmi, R. Sowrirajan, Sivaram Murugan

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Semantic analysis of social media messages of patients with neovascular age-related macular degeneration and diabetic macular edema by open Internet sources — a study of patients'... by V. V. Neroev, O. V. Zaytseva, A. Yu. Berdieva, Z. M. Gabdullina, M. N. Pudikov, A. A. Leonova, V. F. Khoroshevsky

“…The posts were analyzed in several steps with the technologies of automated analysis of unstructured natural language texts including semantic technologies aimed at processing large volumes of data. …”
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A Coupled Least Absolute Shrinkage and Selection Operator–Backpropagation Model for Estimating Evapotranspiration in Xizang Plateau Irrigation Districts with Reduced Meteorological... by Qiang Meng, Jingxia Liu, Fengrui Li, Peng Chen, Junzeng Xu, Yawei Li, Tangzhe Nie, Yu Han

“…This study addresses the challenge of estimating reference crop evapotranspiration (ET_O) in Xizang Plateau irrigation districts with limited meteorological data by proposing a coupled LASSO-BP model that integrates LASSO regression with a BP neural network. …”
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