Enhancing Undrained Shear Strength Prediction through Innovative Hybridization Techniques by Chisom Samuel, Damilare Adewunmi

“…The issue is addressed by employing cutting-edge data-driven Decision Tree (DT) techniques to analyze the intricate connections between USS and fundamental soil parameters. An innovative approach for predicting USS in soft clays using machine learning methods is pioneered in this study, with a specific focus on a set of five crucial feature variables, such as pre-consolidation stress (PS), vertical effective stress (VES), liquid limit (LL), plastic limit (PL), and natural water content (W), which serve as inputs for the data-driven models. …”
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Human Activity Recognition Based on Point Clouds from Millimeter-Wave Radar by Seungchan Lim, Chaewoon Park, Seongjoo Lee, Yunho Jung

“…The proposed HAR system uses a pillar feature encoder that converts 3D point-cloud data into a 2D image and a classification network based on depth-wise separable convolution for lightweighting. …”
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Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis by Mostafa Alizade-Harakiyan, Amin Khodaei, Ali Yousefi, Hamed Zamani, Asghar Mesbahi

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Construction of a model of subsoil moisture movement in cultivated slope lands by Andrey A. Mikhaylin

“…Insufficient study of the dynamics of moisture movement both in the soil loosened by the tillage tool and in the zone of uncultivated subsoil wall in the conditions of moisture deficient south of Russia necessitated for development of a mathematical model of subsoil moisture transfer. A distinctive feature of this model is the study of moisture transfer in the zone of the upper soil layer of 0.60 m by the developed universal tillage tool for cultivating of sloping and plain lands. …”
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Progressive Conditional Diffusion Model for Multistage Spectral Restoration of Remote Sensing Image by Jinfeng Gao, Gangqiang Li, Ruxian Yao, Qiang Liu, Junming Zhang

“…The spectral-up-sampled multispectral features, combined with the output from the previous diffusion model, serve as a conditional matrix, which is input into the next diffusion model to obtain the final result. …”
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Facial emotion recognition based on VGG16 network by Cai Jing, Du Jiachen, Wang Qing, Zhou Hongren

“…In deep learning, the traditional convolutional neural network can not extract facial expression features sufficiently, and the amount of computer parameters is large, which leads to low classification accuracy. …”
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Development of Model for Traffic Flows on Urban Street and Road Network by D. V. Kapskiy, D. V. Navoy, P. A. Pegin

“…It has been planned to take into account this specific feature when increasing possibilities for algorithmization of traffic management.…”
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Study of Microvessel Density and the Expression of Vascular Endothelial Growth Factors in Adrenal Gland Pheochromocytomas by Magdalena Białas, Grzegorz Dyduch, Joanna Dudała, Monika Bereza-Buziak, Alicja Hubalewska-Dydejczyk, Andrzej Budzyński, Krzysztof Okoń

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S-DCNN: prediction of ATP binding residues by deep convolutional neural network based on SMOTE by Sixi Hao, Sixi Hao, Cai-Yan Li, Xiuzhen Hu, Zhenxing Feng, Gaimei Zhang, Caiyun Yang, Huimin Hu

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An Intelligent Prediction Method of the Karst Curtain Grouting Volume Based on Support Vector Machine by Jiandong Niu, Bin Wang, Haifa Wang, Zhiwei Deng, Jianxin Liu, Zewei Li, Guanjun Chen, Botao Zhang

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A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation by Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

“…Three machine learning models were developed: the benchmark model using laboratory parameters, the multiorgan feature–based AAD complicating MMP (MAM) model based on computed tomography angiography images, and the integrated model combining both data modalities. …”
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BIOTECHNICAL SYSTEM FOR INTEGRATED OLFACTOMETRY DIAGNOSTICS by Yana Nosova, Oleg Avrunin, Valery Semenets

“…The developed biotechnical system is based on the use of a fundamentally new design, combining a rhinomanometer and an olfactometric nozzle with a container for an odorant. A feature of this system is also the capability to determine the energy characteristics of nasal breathing when the sensitivity threshold of the odorivector is reached. …”
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Uncertainty and Stochasticity in Modelling of Microstructure Evolution During Hot Rolling of Steels Uncertainty and Stochasticity in Modelling of Microstructure Evolution During Ho... by D. Szeliga, J. Foryś, J. Kusiak, R. Kuziak, R. Nadolski, M. Pietrzyk, Ł. Rauch

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Comparative analysis of machine learning models for predicting river water quality: a case study of the Zayandeh Rood River by Elham Fazel Najafabadi, Paria Shojaei, Mojgan Askarizadeh

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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

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Online Tool Wear Monitoring via Long Short-Term Memory (LSTM) Improved Particle Filtering and Gaussian Process Regression by Hui Xu, Hui Xie, Guangxian Li

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Modeling of Must Fermentation Processes for Enabling CO₂ Rate-Based Control by Nicoleta Stroia, Alexandru Lodin

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Stagnation Point Flow of EMHD Micropolar Nanofluid with Mixed Convection and Slip Boundary by Shahzada Muhammad Atif, Muhammad Abbas, Umair Rashid, Homan Emadifar

“…The modelled PDEs are converted into ODEs via similarity transformation, and converted ODEs are tackled via the shooting technique. The features of assorted parameters on the axial and angular velocities and energy and concentration fields are sketched. …”
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Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging by Yoshihiro Obata, Dilworth Y. Parkinson, Daniël M. Pelt, Claire Acevedo

“…Low-dose computed tomography (CT) is used to preserve bone's mechanical properties from radiation damage, though it increases noise. …”
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Transformation of Digital Health: Advancing Telerehabilitation with Smartwatch Technology by Marwa Asim, Muhammad Ehab Azim, Furqan Ahmed Siddiqi, Farooq Azam Rathore

“…Monitoring of vitals like heart rate, blood pressure, and oxygen saturation, has been made possible by the help of smartwatches. These features provide the wearer with a real-time picture of their health. …”
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