A5076711497- Plasma Diagnostics and Applications
- Magnetic confinement fusion research
- Laser-induced spectroscopy and plasma
- Ionosphere and magnetosphere dynamics
- Geomagnetism and Paleomagnetism Studies
- Economic and Technological Developments in Russia
- Non-Destructive Testing Techniques
- Electron and X-Ray Spectroscopy Techniques
- Dust and Plasma Wave Phenomena
- Healthcare Systems and Public Health
- Laser Design and Applications
- Topic Modeling
- Electrohydrodynamics and Fluid Dynamics
- Semiconductor materials and devices
- Digital Economy and Transformation
- Advanced Neural Network Applications
- Nuclear Physics and Applications
- Speech and dialogue systems
- Digital Transformation in Industry
- Food Industry and Aquatic Biology
- Context-Aware Activity Recognition Systems
- Advanced Optical Sensing Technologies
- Visual Attention and Saliency Detection
- Big Data and Business Intelligence
- Advanced Text Analysis Techniques
Amazon (United States)
2023-2024
University of Illinois Chicago
2022
University of Illinois Urbana-Champaign
2015-2020
West Virginia University
2020
Bauman Moscow State Technical University
2013
The ion energy-angle distribution (IEAD) at the wall of a magnetized plasma is fundamental importance for determination material processes occurring plasma-material interface, comprising secondary emissions and sputtering. Here, we present numerical characterization IEAD weakly collisional with magnetic field inclined an arbitrary angle respect to wall. analysis has been done using two different techniques: (1) fluid-Monte Carlo method, (2) particle-in-cell simulations, former offering fast...
Rinat Khaziev, Usman Shahid, Tobias Röding, Rakesh Chada, Emir Kapanci, Pradeep Natarajan. Proceedings of the 2022 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies: Industry Track. 2022.
Modern Automatic Speech Recognition (ASR) systems are evaluated with respect to Word Error Rate (WER). While WER is a useful metric for training and evaluation of speech models, it does not fully reflect the difference in semantics between predicted ground truth transcriptions. In conversational voice assistants, ability sufficiently understand semantic meaning user request often more important than recognizing all words correctly. this work, we propose system that can determine, high degree...
This article describes experimental evidence that the magnetic presheath is a fully three-dimensional structure modified by ion–neutral collisions. Velocity distributions of both ions and neutrals, obtained via laser-induced fluorescence, show cross field ion drifts do not result from entrainment in flowing neutral background. Ion flows parallel to E×B arise accelerate as much 0.2cs within several gyroradii boundary surface, where cs sound speed. Within measurement resolution, onset aligned...
Negative feedback received from users of voice agents can provide valuable training signal to their underlying ML systems. However, such systems tend have complex inference pipelines consisting multiple model-based and deterministic components. Therefore, when negative is received, it be difficult attribute the system error a specific sub-component. In this work, we address challenge by building for attribution correction. We prototype attributing errors models used do-main classification...
В статье описывается бизнес-модель функционирования прототипа цифровой платформы в сфере сервиса медицинского оборудования, проанализированы алгоритмы взаимодействия контрагентов платформы, представлен прототип содействующей повышению эффективности бизнеса и привлечению контрагентов, а также рассмотрена структура оборудования. The article describes the business model for operation of a prototype digital platform in field medical equipment service, analyzes interaction algorithms...