P. I. E. N. O.–Petrol-Filling Itinerary Estimation aNd Optimization by Marco Savarese, Antonio de Blasi, Carmine Zaccagnino, Carlo Augusto Grazia

“…It achieves this by merging data from the vehicle through a CAN Access Module (CAM) and data outside the vehicle through a mobile application connected to the internet. …”
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SPT-AD: Self-Supervised Pyramidal Transformer Network-Based Anomaly Detection of Time Series Vibration Data by Seokhyun Gong, Taeyong Kim, Jongpil Jeong

“…Our proposed model tackles the data imbalance issue by generating four types of synthetic anomalies from normal vibration data and incorporates a pyramid-structured attention module to reduce computational costs and enhance the handling of long-term dependencies. …”
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DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma by Davide Chicco, Luca Oneto, Davide Cangelosi

“…Electronic health records of patients with this disease contain valuable data on patients that can be analyzed using computational intelligence and statistical software by biomedical informatics researchers. …”
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Deep Learning as a New Framework for Passive Vehicle Safety Design Using Finite Elements Models Data by Mar Lahoz Navarro, Jonas Siegfried Jehle, Patricia A. Apellániz, Juan Parras, Santiago Zazo, Matthias Gerdts

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Parameter Disentanglement for Diverse Representations by Jingxu Wang, Jingda Guo, Ruili Wang, Zhao Zhang, Liyong Fu, Qiaolin Ye

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Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study by Prasanta Kumar Samal, R. Srinidhi, Pramod Kumar Malik, H. J. Manjunatha, Imran M. Jamadar

“…This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in condition monitoring systems. …”
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ICE-RAFTED SEDIMENTS OF THE YERMAK PLATEAU AND FRAM STRAIT: NEW DATA ON SPORE-POLLEN SPECTRA, MINERALOGY AND GEOCHEMISTRY by A.V. Maslennikova, V.P. Shevchenko, E.V. Belogub, A.V. Maslov, I.A. Blinov

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Towards Efficient HPC: Exploring Overlap Strategies Using MPI Non-Blocking Communication by Yuntian Zheng, Jianping Wu

“…Overlapping communication with computation is particularly important for enhancing the performance of large-scale scientific applications, such as numerical simulations, climate modeling, and other data-intensive tasks. …”
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Tactics of Primary Emergency Radiation Diagnosis of Politrauma by Yu. G. Shapkin, P. A. Seliverstov, N. Yu. Stekolnikov

“…Literary sources were searched in the MedLine/ PubMed and eLibrary databases published from 2009 to 2019.The tactics of selective radiation diagnosis of polytrauma involves performing sequential studies (sonography, X-ray, computed tomography) of body areas in which damage is suspected by the mechanism of injury and clinical data, which limits the accuracy of the diagnosis and increases the duration of the examination. …”
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Research on Missing Data Estimation Method for UPFC Submodules Based on Bayesian Multiple Imputation and Support Vector Machines by Xiaoming Yu, Jun Wang, Ke Zhang, Zhijun Chen, Ming Tong, Sibo Sun, Jiapeng Shen, Li Zhang, Chuyang Wang

“…To overcome the computational complexity, poor real-time performance, and limited generalization of existing methods like GRU-GAN and SOM-LSTM, this study proposes a hybrid framework combining Bayesian multiple imputation with a Support Vector Machine (SVM) for data repair. …”
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Towards virtual painting recolouring using vision transformer on x-ray fluorescence datacubes by Alessandro Bombini, Fernando García-Avello Bofías, Francesca Giambi, Chiara Ruberto

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Nonlinear waveform optimization for wireless power transfer systems by Lina Yuan, Huajun Chen, Maoxue Hu, Jing Gong

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Bentho-pelagic relations in the deep-water part of the Okhotsk Sea by the data of stable isotopes С and N analysis by Konstantin M. Gorbatenko, Sergey I. Kiyashko, Artem E. Lazhentsev, Pavel O. Emelin, Ruslan P. Grishan

“…Composition, abundance, diet and trophic status are analyzed for dominant benthic and pelagic species in the deep-water Okhotsk Sea on the data collected in demersal and pelagic trawl surveys conducted by Pacific Fisheries Research Center (TINRO). …”
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Improving GNSS precise point positioning with tropospheric constraints from data-driven numerical weather prediction model by Yuanfan Deng, Wu Chen, Junsheng Ding, Ahmed El-Mowafy, Duojie Weng, Long Tang, Lei Bai, Xiaolong Mi

“…In contrast, emerging data-driven NWP models offer enhanced forecasting capabilities with reduced computational requirements, presenting a promising alternative for improving PPP performance. …”
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A Rule Based Feature Selection Approach for Target Classification in Wireless Sensor Networks with Sensitive Data Applications by Zhiyong Hao, Bin Liu

“…Although the base station usually has sufficient energy supply and computational power, it is often deemed to be the object of enemy invading hostile terrain. …”
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An echo state network based on enhanced intersecting cortical model for discrete chaotic system prediction by Xubin Wang, Pei Ma, Jing Lian, Jizhao Liu, Yide Ma

“…Deep learning models, while effective, are associated with high computational costs and large data requirements. As an alternative, Echo State Networks (ESNs) are more computationally efficient, but their predictive accuracy can be constrained by the use of simplistic neuron models and a dependency on hyperparameter tuning.MethodsThis paper proposes a framework, the Echo State Network based on an Enhanced Intersecting Cortical Model (ESN-EICM). …”
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A Data-driven M Dwarf Model and Detailed Abundances for ​​​​​​∼17,000 M Dwarfs in SDSS-V by Aida Behmard, Melissa K. Ness, Andrew R. Casey, Ruth Angus, Katia Cunha, Diogo Souto, Yuxi(Lucy) Lu, Jennifer A. Johnson

“…Data-driven methods such as The Cannon are viable alternatives, and can harness the information content of many M dwarfs from large spectroscopic surveys. …”
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Investigation of the inverse problem in inclined lid-driven cavity with non-uniform heating on both side walls using the Levenberg-Marquardt algorithm by Amir younesian, Hamid Mohammadiun, Mohammad Mohammadiun, Mohammad hossein Dibaei bonab, Vali Parvaneh

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Application of CIBERSORTx and BayesPrism to deconvolution of bulk RNA-seq data from human myocardium and skeletal muscle by Marcella Conning-Rowland, Chew W. Cheng, Oliver Brown, Marilena Giannoudi, Eylem Levelt, Lee D. Roberts, Kathryn J. Griffin, Richard M. Cubbon

“…We demonstrate their value in defining age- and sex-differences in tissue composition using bulk RNA-seq data from the GTEx consortium. …”
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ESPRESSO: A Framework to Empower Search on the Decentralized Web by Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos

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