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pro vyhledávání: '"Lourens A."'
Recent works have demonstrated that the optical excitation of crystalline materials with intense narrow-band infrared pulses, tailored to match the frequencies at which the crystal's permittivity approaches close to zero, can drive a permanent revers
Externí odkaz:
http://arxiv.org/abs/2407.18598
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention
In the field of psychopathology, Ecological Momentary Assessment (EMA) studies offer rich individual data on psychopathology-relevant variables (e.g., affect, behavior, etc) in real-time. EMA data is collected dynamically, represented as complex mult
Externí odkaz:
http://arxiv.org/abs/2405.04854
Publikováno v:
Scientific Reports, volume 14, Article number: 11866 (2024)
We propose a novel model-selection method for dynamic networks. Our approach involves training a classifier on a large body of synthetic network data. The data is generated by simulating nine state-of-the-art random graph models for dynamic networks,
Externí odkaz:
http://arxiv.org/abs/2404.00793
In the evolving field of psychopathology, the accurate assessment and forecasting of data derived from Ecological Momentary Assessment (EMA) is crucial. EMA offers contextually-rich psychopathological measurements over time, that practically lead to
Externí odkaz:
http://arxiv.org/abs/2403.19442
A Li-Al-O thin film materials library, deposited by inert magnetron sputtering and post-deposition annealing in O2 atmosphere, was used to study the effects of different annealing temperatures (300 to 850{\deg}C) and durations (1 min to 7 h) on cryst
Externí odkaz:
http://arxiv.org/abs/2402.06553
The increasing importance of recycling makes the recovery of valuable elements from slags interesting, e.g., by the concept of engineered artificial minerals (EnAMs). In this concept, it is aimed for the formation of EnAMs, meaning phase(s) with a hi
Externí odkaz:
http://arxiv.org/abs/2312.04146
Through Ecological Momentary Assessment (EMA) studies, a number of time-series data is collected across multiple individuals, continuously monitoring various items of emotional behavior. Such complex data is commonly analyzed in an individual level,
Externí odkaz:
http://arxiv.org/abs/2310.07491
Publikováno v:
Quantum Mach. Intell. 6, 56 (2024)
Well-known quantum machine learning techniques, namely quantum kernel assisted support vector machines (QSVMs) and quantum convolutional neural networks (QCNNs), are applied to the binary classification of pulsars. In this comparitive study it is ill
Externí odkaz:
http://arxiv.org/abs/2309.15592
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Recent works have demonstrated that the optical excitation of crystalline materials with intense narrow-band infrared pulses, tailored to match the frequencies at which the crystal’s permittivity approaches close to zero, can drive a perma
Externí odkaz:
https://doaj.org/article/538b468e0c584bbdba8337338fba894e
Publikováno v:
Problems and Perspectives in Management, Vol 22, Iss 3, Pp 385-397 (2024)
An engaged workforce is vital for higher education institutions to contribute positively to the developing world. The purpose of this study is to examine employee engagement and its significance for academic and administrative employees at the Durban
Externí odkaz:
https://doaj.org/article/fa332cbd8b1a47feab28cd7c89a3b9ee