Borromean supercounterfluids at finite temperatures by Alexandru Golic, Igor Timoshuk, Egor Babaev, Boris Svistunov

“…We formulate and study Borromean XY and loop statistical models, capturing the universal long-range properties and allowing us to perform efficient worm algorithm simulations. Numeric results demonstrate perfect agreement with analytic predictions. …”
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Frequency Response Function-Based Finite Element Model Updating Using Extreme Learning Machine Model by Yu Zhao, Zhenrui Peng

“…The results show that, compared with second-order response surface (RS), radial basis function (RBF), traditional ELM, and other optimized ELM, a LWOA-ELM model has higher prediction accuracy. After updating, the FRF data and frequencies have a significant match to the experimental model. …”
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Regulation of replication timing in Saccharomyces cerevisiae. by Rosie Berners-Lee, Eamonn Gilmore, Francisco Berkemeier, Michael A Boemo

“…After developing an algorithm to fit this model to replication timing data, we validated the model by reproducing experimental inter-origin distances, origin efficiencies, and replication fork directionality. …”
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Building accurate numerical models by Sharapov Dmitry

“…Key strategies such as algorithm optimization, parallel computing, and efficient data management are essential for maximizing computational resources. …”
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Pochva: a new hydro-thermal process model in soil, snow, and vegetation for application in atmosphere numerical models by O. Drofa

“…The results of coupling Pochva to the numerical weather prediction limited-area model Bolam are presented.</p>…”
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Influence of Absorbing Material Distribution on Double Slope Sound Decay in L-Shaped Room by Mirosław MEISSNER

“…Two different material configurations were considered and their effects on a double slope sound decay were analysed. In order to predict the behaviour of decay curve, a numerical implementation based on the wave theory was applied. …”
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Intelligent Cyber-Attack Detection in IoT Networks Using IDAOA-Based Wrapper Feature Selection by Mohammed Abdullah, Ryna Svyd

“…This study presents an innovative framework that integrates the Improved Dynamic Arithmetic Optimization Algorithm (IDAOA) with a Bagging technique to enhance the performance of intelligent cyber intrusion detection systems. …”
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Unsupervised detection of semantic correlations in big data by Santiago Acevedo, Alex Rodriguez, Alessandro Laio

“…This recognition enables, for instance, the prediction of missing parts of an image or text based on their context. …”
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Optimal sampling of tensor networks targeting wave function's fast decaying tails by Marco Ballarin, Pietro Silvi, Simone Montangero, Daniel Jaschke

“…Our method generates samples based on an exact cumulative bounding function, without prior knowledge, in the minimal amount of tensor network contractions. The algorithm avoids sample repetition and, thus, is efficient at sampling distribution with exponentially decaying tails. …”
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RELIABILITY ANALYSIS OF REACTION FORCE DEVELOPED IN THE LUBRICATED REVOLUTE JOINT FOR A SLIDER-CRANK SYSTEM INCLUDING JOINT WITH CLEARANCE AND LUBRICATION by ZHAO Kuan, XUE He, CHEN JianJun, QIAO XinZhou

“…The system dynamic model was set up based on Newton-Euler method,The prediction accurary of Support Vector Machine Regression is difficult to reach the target accurary because the selection of parameters isn’t accurate. …”
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ATKB-PID: an adaptive control method for micro tension under complex hot rolling conditions by Xinkai Xu, Xiangrong Song, Zheng Qi

“…This method incorporates a linear attention layer and utilizes a K-Nearest Neighbors (KNN) algorithm to predict the optimal learning rate and inertia coefficient under actual operating conditions. …”
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A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical Informatics by Fatéma Zahra Benchara, Mohamed Youssfi

“…The proposed Fuzzy logic method is based on a distributed approach of type-2 Fuzzy logic algorithm and merges the HPC (High Performance Computing) and cognitive aspect on one model. …”
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Pruning Bayesian networks for computationally tractable multi-model calibration by Nicolas Gratius, Mario Bergés, Burcu Akinci

“…In this work, we propose a graph pruning algorithm to reduce computational cost while minimizing the loss in calibration ability by incorporating domain-driven metrics for selection purposes. …”
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Modern technologies for hiding people's faces using object tracking based on YOLOv5 and DeepSort by А. Щур, О. Польшакова

“…To achieve this goal, it is proposed to use a modern detector - the YOLO convolutional neural network and the DeepSORT object tracking algorithm, which uses classical approaches to filtering input data and predicting the position of an object in space, as well as a modern neural network capable of distinguishing between people's faces. …”
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Symmetrifying Smart Home by Sungyong Ahn

“…It describes a smart home as a topological continuum that could unfold lots of functional spaces—those optimized for a variety of predictable user behaviors and intentions, such as going to bed, working out, and energy-saving—according to how software applications redeploy its embedded sensors and actuators into certain algorithmic orders. …”
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A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining by Honghuan Chen

“…This method is complemented by Particle Swarm Optimization (PSO) algorithm to optimize the number of IMFs and penalty factor, with Sample Entropy (SE) serving as a fitness function. …”
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A Synergistic CNN-DF Method for Landslide Susceptibility Assessment by Jiangang Lu, Yi He, Lifeng Zhang, Qing Zhang, Jiapeng Tang, Tianbao Huo, Yunhao Zhang

“…In addition, the SHAP algorithm was used to quantify the contribution of features to the prediction results both globally and locally, further explaining the model. …”
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A scalable framework for soil property mapping tested across a highly diverse tropical data-scarce regionZENODO by Rodrigo de Q. Miranda, Rodolfo L.B. Nóbrega, Anne Verhoef, Estevão L.R. da Silva, Jadson F. da Silva, José C. de Araújo Filho, Magna S.B. de Moura, Alexandre H.C. Barros, Alzira G.S.S. Souza, Wanhong Yang, Hui Shao, Raghavan Srinivasan, Feras Ziadat, Suzana M.G.L. Montenegro, Maria do S.B. Araújo, Josiclêda D. Galvíncio

“…We developed a machine learning framework that integrates the Soil-Landscape Estimation and Evaluation Program (SLEEP) with gradient boosting to predict soil properties at regional scales and multiple depths. …”
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A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

“…Secondly, the deep learning object detection model was used to infer and predict the processed images to label soybean seedlings. …”
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Least travel time ray tracer version 2 (LTT v2) adapted to the grid geometry of the OpenIFS atmospheric model by M. Vasiuta, A. Navarro Trastoy, S. Motlaghzadeh, L. Tuppi, T. Mayer-Gürr, H. Järvinen

“…In principle, the LTT-based RT algorithm is seen as an extension of an atmospheric model for signal delay evaluation. …”
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