Exhaustion of Skeletal Muscle Fibers Within Seconds: Incorporating Phosphate Kinetics Into a Hill-Type Model. In Tobias Siebert (Eds.), Frontiers in Physiology, (11)Frontiers Media SA, May 2020. [PUMA: biomechanics analysis endurance estimation fatigue optimization dynamics parameter sensitivity time first-order] URL
Characterization of Supraharmonic Emission from Three Different Electric Vehicle Charging Infrastructures in Time and Frequency Domain. Energies 2022, (15)2January 2022. [PUMA: Charging in Supraharmonic Electric Emission Time Three Different Infrastructures Characterization of Vehicle and from Domain Frequency]
Tool condition monitoring in drilling processes using anomaly detection approaches based on control internal data. Procedia CIRP, (121):216–221, Elsevier BV, 2024. [PUMA: tool anomaly detection process monitoring neural learning analysis networks machining condition machine series time manufacturing] URL
VA(2): A Visual Analytics Approach for // Evaluating Visual Analytics Applications. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, (22)1:61-70, IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA, January 2016. [PUMA: analytics; evaluation; tracking; aloud; {visual logs; eye thinking qualitative series time interaction data}]
A simple time delay model for eukaryotic cell cycle. Journal of Theoretical Biology, (241)3:617 - 627, 2006. [PUMA: cellcycle p-d G2/M positive cycles Bistability G1/S cycle cell transitions division feedback delay time] URL
Time Domain Characterization of Radio Frequency Sources for the Design of Noise Suppression Filters. IEEE Transactions on Electromagnetic Compatibility, (51)4November 2009. [PUMA: Characterization Sources Design Filters Noise Suppression Radio Time Domain Frequency]
Improvements in the fast emission measurement in time domain. 2002. [PUMA: domain emission fast measurement time] URL
PQ Prediction by Way of Parallel Computing - Benchmark and Sensitivity Analysis for Classical Machine Learning Approaches. 2019. [PUMA: Series myown Learning Quality Time Forecasting Machine Power]
Evaluation of stochastic signals for fast emission measurements in time domain. 2003. [PUMA: domain signals emission fast Evaluation stochastic time measurements] URL
Non-linear superposition of broadband spectra for fast emission measurements in time domain. 2003. [PUMA: domain emission superposition fast broadband Non-linear time spectra measurements] URL
Fast emission measurements in time domain. 2001. [PUMA: domain emission time Fast measurements] URL
New Procedures for Partial Discharge Localization in Gas-Insulated Switchgears in Frequency and Time Domain. 2007. [PUMA: Switchgears Gas-Insulated Partial Procedures Time Domain Localization Discharge New Frequency] URL
Fast EMC Emission Measurement in Time Domain. 2004. [PUMA: Measurement Emission Fast EMC Time Domain]
A New Method of Emission Measurement. 2002. [PUMA: curve fourier window Emission measurement domain transform response function pulse time] URL
The Voltage and Time Parameter Measurement Uncertainties of a Large Damped Capacitor Divider due to its Non-ideal Step Response. 2007. [PUMA: Large Measurement Time Step Damped Response Voltage Parameter Uncertainties Divider Capacitor Non-ideal] URL
Virtualised e-Learning with real-time guarantees on the IRMOS platform. Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference on, 1-8, 2010. [PUMA: infrastructures delivery guarantee;real-time instruction;mobile modelling;virtualised e-learning;Artificial European modelling;virtual-machine computing;mobile learning;Mathematical factors;Real-time time model;Quality level;virtualised processes;virtual scheduling;stochastic neural computing;computer service;Real service;stochastic machines;IRMOS networking content cloud aided systems;Servers;Time application;quality hypervisor of computing;protocols;quality service;real-time scheduling;e-Learning;stochastic project;QoS-aware protocol;cloud networks;Electronic]