Search Results - data processing methods

THE EFFICIENCY IMPROVING OF PILOTS AND CADETS TRAINING TO SAFETY CONTROL USING THE MODIFICATIONS OF CLASSICAL METHOD OF "ROY" (PSO) by V. V. Yurasov, L. A. Yurasova

“…The article explains the use of modifications the classical method PSO to optimize the training pilots task on aircraft simulators. …”
Get full text

Methodical approach to determining the main parameters of the evacuation system for the wounded with the use of different types of transport by K.S. Hutchenko, V.L. Kozachuk, O.A. Hutchenko, O.M. Movchan, O.A. Tymkiv, V.A. Hrom

Get full text

Enhancing uploads of health data in the electronic health record—The role of framing and length of privacy information: A survey study in Germany by Niklas von Kalckreuth, Markus A Feufel

“…Background The German electronic health record (EHR) aims to enhance patient care and reduce costs, but users often worry about data security. In this article, we propose and test communication strategies to mitigate privacy concerns and increase EHR uploads. …”
Get full text

Evaluating Ammonia's Flammability and Explosion Hazards in Air and Oxygen at Elevated Conditions: Data Generation and Review According to the New European Standard by Benoit Tribouilloy, Esteban Paillery, Roberto Palomino, Alexis Vignes

“…The application of the EN 17624 standardised method makes it possible to generate new, up-to-date data to improve our understanding of the safety limits of ammonia.…”
Get full text

Fault-tolerant Q-learning for discrete-time linear systems with actuator and sensor faults using input-output measured data by Mohammadrasoul Kankashvar, Sajad Rafiee, Hossein Bolandi

“…A significant benefit of this algorithm is its capability to simultaneously achieve optimality and stabilize systems with both actuator and sensor faults. Unlike traditional methods, it learns online using input-output data from the faulty system, bypassing the need for full-state measurements. …”
Get full text

The association of physical activity and carotid intima-media-thickness in adolescents—data of the prospective early vascular ageing-tyrol cohort study by Bernhard Winder, Bernhard Winder, Bernhard Winder, Sophia Zollner-Kiechl, Sophia Zollner-Kiechl, Benoît Bernar, Benoît Bernar, Nina Gande, Anna Staudt, Anna K. Stock, Anna K. Stock, Christoph Hochmayr, Ralf Geiger, Andrea Griesmacher, Stefan Kiechl, Stefan Kiechl, Ursula Kiechl-Kohlendorfer, Michael Knoflach, Michael Knoflach, the Early Vascular Ageing (EVA)-Tyrol Study Group, Carmen Reiter, Christina Schreiner Julia Klingenschmid, Julia Marxer, Martina Kothmayer, Maximilian Pircher, Manuela Bock-Bartl, Mandy Asare, Maximilian Bohl, Raimund Pechlaner

“…Our aim was to further investigate this unexpected association with two different measurement methods of PA and two established markers for Early Vascular Ageing: cIMT and carotid-femoral pulse-wave velocity (cfPWV).MethodsThe community-based Early Vascular Ageing-Tyrol cohort study included adolescents in western Austria and northern Italy. …”
Get full text

Urban weather dataset for building energy simulations: Data collection and EPW file generation for Torino, Italy (2014–2023)Zenodo by Ali JahaniRahaei, Massimo Milelli, Giacomo Chiesa

“…Subsequently, a Typical Meteorological Year (TMY) was generated following the ISO 15927-4 standard. Missing data points were estimated using various interpolation and statistical methods to ensure data completeness. …”
Get full text

A Method for Temporally Resolved Continuous Inline Measurement of Multiple Solute Concentrations With Microfluidic Spectroscopy by Andrea Lorenzo Henri Sergio Detry, Vinny Chandran Suja, Nathaniel Merriman Sims, Robert A. Peterfreund, David E. Arney

“…A MATLAB-based control application enabled automated data acquisition, processing, and system control to enhance experimental efficiency. …”
Get full text

Analysis of p53-Independent Functions of the Mdm2-MdmX Complex Using Data-Independent Acquisition-Based Profiling by Anu Jain, Rafaela Muniz de Queiroz, Jayanta K. Chakrabarty, Karl A. T. Makepeace, Carol Prives, Lewis M. Brown

“…Background: We utilized data-independent acquisition (DIA) to study the poorly understood biology of Mdm2 and MdmX in a p53-null context. …”
Get full text

Learning From Detailed Maps: Joint 2D-3D Semantic Segmentation for Airborne Data with Selective Label Fusion by G. Anjanappa, S. Oude Elberink, G. Vosselman

“…Objects for topographic maps are often extracted manually by interpreting and segmenting airborne data, such as 2D images and 3D point clouds. Deep learning (DL) with semantic segmentation can automate this process using existing maps as ground labels. …”
Get full text

Physics-informed and data-driven thermal modeling and temperature field prediction for thermal field-assisted direct ink writing with PDMS by Xinhua Yao, Yuhan Jiang, Lixin Tian, Xiang Li, Yong He

“…The proposed surrogate model outperformed other data-driven methods, achieving an average R2 above 0.99, with maximum RMSE and MAE of 0.3314 °C and 0.3174 °C. …”
Get full text

Features of the interrelationships of some molecular parameters of cervical epithelium cells with biological characteristics of tumor cells in the process of cervical carcinogenesi... by E. V. Kayukova, T. E. Belokrinitskaya, L. F. Sholokhov, P. P. Tereshkov

“…In particular, recently in the literature there are data on the participation of short-chain fatty acids in the tumor process. …”
Get full text

Accelerated Bayesian optimization for CNN+LSTM learning rate tuning via precomputed Gaussian process subspaces in soil analysis by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong, Zhengchun Song

“…PurposeWe propose an accelerated Bayesian optimization framework for tuning the learning rate of CNN+LSTM models in soil analysis, addressing the computational inefficiency of traditional Gaussian Process (GP)-based methods. This work bridges the gap between computational efficiency and probabilistic robustness, with broader implications for automated machine learning in geoscientific applications.MethodThe key innovation lies in a subspace-accelerated GP surrogate model that precomputes low-rank approximations of covariance matrices offline, thereby decoupling the costly hyperparameter tuning from the online acquisition function evaluations. …”
Get full text

Rhinocerebral Mucormycosis in Patients with Diabetes Mellitus After a New Coronavirus Infection (COVID-19): СT and MRI Patterns Data by I. S. Gabdulganieva, N. R. Munirova, A. R. Zaripova, V. I. Anisimov

“…Brain substance and meninges involvement in the pathological process was observed in the form of cerebritis in 23% of patients and meningitis in 46%. …”
Get full text

A global classification dataset of daytime and nighttime marine low-cloud mesoscale morphology based on deep-learning methods by Y. Wu, J. Liu, J. Liu, Y. Zhu, Y. Zhu, Y. Zhu, Y. Zhang, Y. Cao, Y. Cao, K.-E. Huang, B. Zheng, Y. Wang, Y. Li, Q. Wang, C. Zhou, Y. Liang, J. Sun, M. Wang, M. Wang, D. Rosenfeld, D. Rosenfeld

Get full text

The sensitivity of aerosol data assimilation to vertical profiles: case study of dust storm assimilation with LOTOS-EUROS v2.2 by M. Pang, M. Pang, J. Jin, T. Yang, X. Chen, A. Segers, B. Buyantogtokh, Y. Gu, J. Li, H. X. Lin, H. X. Lin, H. Liao, W. Han

“…On the other hand, models tend to possess higher uncertainties and biases compared to observations. Aerosol data assimilation has gained popularity as it combines the advantages of both methods. …”
Get full text

Analysis of Public Sentiment Towards LGBT on Twitter Social Media using Naïve Bayes Method by Yudhi Franata, Rizal, Rizki Suwanda

Get full text

Integration of a medication reminder app into the RABBIT-SpA disease registry to record patient data on daily drug usage by Regierer, Anne C., Reich, Andreas, Weiß, Anja, Feuchtenberger, Martin, Zinke, Silke, Lorenz, Hanns-Martin, Syrbe, Uta, Böhm, Peter, Wiegand, Julius, Strangfeld, Anja, Poddubnyy, Denis, Baraliakos, Xenofon

“…Results: The integration process was successfully implemented. Personalized QR codes were generated from the registry documentation system, enabling patients to download the study version of the MyTherapy app and link their data using a second pseudonym. …”
Get full text

A New Two‐Stage Probabilistic Remaining Useful Life Prediction Method for Wind Turbines by Weifei Hu, Xuewei Zhou, Qing Jiao, Feng Zhao, Ning Tang, Ke Li, Zili Wang

“…Furthermore, current methods for quantifying uncertainties in sensor data and predictive models typically require extensive degradation data and significant computational resources. …”
Get full text

Method for constructing an adaptive suboptimal stationary train traffic controller based on artificial neural networks by S. V. Malakhov, M. Yu. Kapustin

“…The train motion modes obtained by Bellman's method were used as reference data for training the neural network. …”
Get full text