Real-time processing and quality improvement of synchrophasor data

R Pourramezan, H Karimi… - … on Smart Grid, 2020 - ieeexplore.ieee.org
This paper proposes a real-time algorithm for processing and quality improvement of
synchrophasor data (SD). The proposed algorithm first recovers the missing SD reported by …

DL-DDA-deep learning based dynamic difficulty adjustment with UX and gameplay constraints

DB Or, M Kolomenkin, G Shabat - 2021 IEEE Conference on …, 2021 - ieeexplore.ieee.org
Dynamic difficulty adjustment (DDA) is a process of automatically changing a game difficulty
for optimization of the user experience. It is a vital part of almost any modern game. Most …

Ground penetrating radar data reconstruction via matrix completion

D Kumlu - International Journal of Remote Sensing, 2021 - Taylor & Francis
Missing information in ground-penetrating radar (GPR) data is a commonly encountered
phenomenon during field measurements and it highly affects the subsequent processing …

Missing data recovery via deep networks for limited ground penetrating radar measurements

D Kumlu, K Tas, I Erer - Remote Sensing, 2022 - mdpi.com
Missing data problem frequently occurs during data acquisition in ground-penetrating radar
(GPR) and recovery of the missing entries prior to any processing is vital in GPR imaging …

GPR image recovery effect on faster R-CNN-based buried target detection

D Kumlu - Journal of Electromagnetic Engineering and Science, 2022 - jees.kr
Measurements acquired through ground-penetrating radar (GPR) may contain missing
information that needs to be recovered before the implementation of any post-processing …

Uncovering unknown unknowns in financial services big data by unsupervised methodologies: Present and future trends

G Shabat, D Segev, A Averbuch - KDD 2017 Workshop on …, 2018 - proceedings.mlr.press
Currently, unknown unknowns in high dimensional big data environments can go unnoticed
for a long period of time. The failure to detect anomalies in critical infrastructure data can …

Spectrum estimation of heart rate variability using low-rank matrix completion

L Lu, T Zhu, YT Zhang, DA Clifton - 2022 IEEE-EMBS …, 2022 - ieeexplore.ieee.org
Heart rate variability (HRV) is an important non-invasive parameter to assess the cardiac
autonomic nervous system. In particular, spectrum matrices of HRV data have been widely …

Refined Matrix Completion for Spectrum Estimation of Heart Rate Variability

L Lu, T Zhu, Y Tan, J Zhou, L Clifton, YT Zhang… - medRxiv, 2022 - medrxiv.org
Heart rate variability (HRV) is the reflection of physiological effects modulating heart rhythm.
In particular, spectral HRV metrics provide valuable information to investigate activities of the …

Wireless Location Tracking via Complex-Domain Super MDS with Time Series Self-Localization Information

Y Nishi, T Takahashi, H Iimori, G Abreu… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
We propose a wireless localization algorithm based on complex-domain super
multidimensional scaling (CD-SMDS) augmented with a self-localization (SL) component …

Sparse array radar forward-looking imaging based on fast atomic norm minimization

K Cao, Y Cheng, Q Liu, H Wang - Remote Sensing Letters, 2023 - Taylor & Francis
The sparse array imaging radar could largely reduce the system complexity, but it also
suffers from poor azimuthal resolution due to the limited aperture length and incomplete …