Application of data twinning based on deep time series model in smart city traffic flow prediction by Li Gao

“…The system implements dynamic feedback adjustment to optimize the model in real time according to the prediction error. …”
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Novel methods for selecting stock portfolio in conditions of uncertainty and forecasting with RR-DEA, ANFIS, FGP: A case study of Tehran stock exchange. by Mohammadmahdi Taheri, Amir Azizi, Emran Mohammadi, Abbas Saghaei

“…To overcome the challenges involved in the selection of a stock portfolio, this article presents a three-stage optimization model. In the first stage, the pharmaceutical industry data collected from the Tehran Stock Exchange (TSE) website is used to apply the robust ratio data envelopment analysis (RR-DEA) in GAMS software with respect to some specific financial indicators to determine efficient stocks in conditions of data uncertainty. …”
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NGBoost algorithm-based prediction of mechanical properties of a hot-rolled strip and its interpretability research with ANOVA values by Hongyi Wu, Jinwen Jin, Zhiwei Li

“…Furthermore, the analysis of variance (ANOVA) method was employed to identify factors that significantly impact mechanical performance, providing theoretical support for optimizing design schemes and enhancing structural safety and reliability.…”
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Forecasting water discharges on the mountain river Arpa (Armenia) by Gaidukova Ekaterina, Margarian Varduhi, Mirzoev Vagif, Batmazova Anna, Vinokurov Igor

“…It was revealed that the model parameters can be optimized with a large error, in particular, the coefficient responsible for the intensity of snowmelt. …”
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A Comparison of the Hot Deformation Behavior and Constitutive Model of the GH4079 Alloy by Weifeng Ying, Jia Hou, Shengnan Jiang, Jianan Wang

“…Finally, a certain microstructural analysis was combined. It can be concluded that the rheological stress of alloy GH4079 gradually decreases with the increase in temperature and strain rate. …”
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Prediction of thermospheric temperature over the South Pole based on two-layer LSTM network by Hao Yang, Yanshi Huang, Pingbing Zuo, Kun Zhang, Mengqi Shao, Huan Shi

“…The euclidean distance analysis also demonstrates better performance of the LSTM model. …”
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TECHNOLOGICAL ADVANCES IN ELECTROPLATING: ARTIFICIAL INTELLIGENCE TO PREDICT ZINC COATING THICKNESS ON SAE 1008 LOW CARBON STEELS by Luciano M. L. de Oliveira, Fabiana L. da Silva, Paulo R. Janissek, Juliano C. Toniolo

“…They allow for the optimization of input parameters to achieve desired coating thicknesses and improve corrosion resistance. …”
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Data-Driven Prediction Methods for Lithium-Ion Battery State of Health Based on Elbow Rule by Liu Zhang, Bo Xing, Yanbing Gao, Lei Yao, Dengfeng Zhao, Jinquan Ding, Yanyan Li

“…To eliminate data redundancy, a novel principal component analysis strategy based on the elbow optimization rule was introduced. …”
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Computational methods and technical means of processing signals of side electromagnetic emanation by Danil A. Shinyaev, Leonid N. Kessarinskiy, Egor A. Simakhin

“…Due to the 10-bit noise-resistant encoding of video information for digital data transmission interfaces, signal analysis and image restoration are most difficult. …”
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An interpretable deep learning model for the accurate prediction of mean fragmentation size in blasting operations by Baoqian Huan, Xianglong Li, Jianguo Wang, Tao Hu, Zihao Tao

“…Additionally, several machine learning prediction models, including CNN-LSSVM, CNN, LSSVM, Support Vector Machine (SVM), and Support Vector Regression (SVR), are developed for comparative analysis. The results showed that the NRBO-CNN-LSSVM model achieved remarkable prediction accuracy on the training dataset, with a coefficient of determination (R 2) as high as 0.9717 and a root mean square error (RMSE) as low as 0.0285. …”
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Explicit and explainable artificial intelligent model for prediction of CO2 molecular diffusion coefficient in heavy crude oils and bitumen by Saad Alatefi, Okorie Ekwe Agwu, Ahmad Alkouh

“…Optimizing CO2 injection for enhanced oil recovery (EOR) requires a precise estimation of the CO2-diffusivity coefficient in porous media. …”
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Statistical Multiscore Functional Atlas Creation for Image-Guided Deep Brain Stimulation by Xiongbiao Luo, Zhuo Zeng, Song Zheng, Jianhui Chen, Pierre Jannin

“…It still remains challenging to determine the optimal electrode contact location to obtain the optimal surgical outcome and simultaneously minimize adverse effects. …”
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Measurement of intelligent computing via Levenberg Marquardt algorithm (LMA) for accurate prediction of fluid forces in a transient non-Newtonian thermal flow by Atif Asghar, Rashid Mahmood, Afraz Hussain Majeed, Ahmed S. Hendy, Mohamed R. Ali

“…Fast second-order LMA, a top-tier approach, was used to train the network. Both the Mean Square Error (MSE) and the coefficient of determination (R) provide statistical evidence that the ANN projected values for the drag and lift coefficients and average Nusselt number obtained from the finite element analysis are accurate. …”
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Determining mosquito age using surface-enhanced Raman spectroscopy and artificial neural networks: insights into the influence of origin and sex by Zili Gao, Yuzhen Zhang, Laura C. Harrington, Courtney C. Murdock, Elisabeth Martin, Dalton Manbeck-Mosig, Steve Vetrone, Nicolas Tremblay, Christopher M. Barker, John M. Clark, Lili He, Wei Zhu

“…Classification tasks used cross-entropy loss; regression applied mean squared error. Models were trained with a 70–30 training–validation split and optimized using the Adam optimizer over 10,000 iterations. …”
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Continuous Monitoring of Recruits During Military Basic Training to Mitigate Attrition by Robbe Decorte, Jelle Vanhaeverbeke, Sarah VanDen Berghe, Maarten Slembrouck, Steven Verstockt

“…The preliminary results revealed that recruits at risk of attrition tend to cluster in specific areas of the feature space in both Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA). …”
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Forecasting Human Core and Skin Temperatures: A Long-Term Series Approach by Xinge Han, Jiansong Wu, Zhuqiang Hu, Chuan Li, Boyang Sun

“…The comparative analysis revealed that the optimized training method significantly improved prediction accuracy for forecasts extending up to 10 min into the future. …”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…In radiology, AI aims to assist with image analysis and interpretation, potentially reducing human error and alleviating the radiological workload. …”
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An improving secure communication using multipath malicious avoidance routing protocol for underwater sensor network by Vignesh Prasanna Natarajan, Senthil Jayapal

“…UWSN communication networks are particularly susceptible to malicious attacks owing to high bit error rates, significant propagation delay variations, and low bandwidth. …”
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Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints by Daxing Lei, Yaoping Zhang, Zhigang Lu, Hang Lin, Yifan Chen

“…Furthermore, feature importance analysis reveals that normal stress has the most significant influence on joint shear strength. …”
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Performance assessment of sustainable evacuated tube heat pipe solar collector driven seawater desalination system by Manish Sonkar, B. Kiran Naik

“…Performance analysis indicates that using cooling water from seawater, alongside enhanced effectiveness of condenser and optimized fluid flow rate ratio, improves the system's performance. …”
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