Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Momin Uppal"'
Publikováno v:
The Lancet Planetary Health, Vol 8, Iss , Pp S17- (2024)
Background: Malaria remains one the leading communicable causes of death. Approximately half of the world's population is considered at risk of infection, predominantly in African and South Asian countries. Although malaria is preventable, heterogene
Externí odkaz:
https://doaj.org/article/4fa2e055233f4b698bc7d4eaf7182493
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3251-3262 (2020)
The availability of high-resolution satellite imagery has enabled several new applications such as identification of brick kilns for the elimination of modern-day slavery. This requires automated analysis of approximately 1551997 km2 area within the
Externí odkaz:
https://doaj.org/article/34874dcda7304e9cbec71ecffb848c37
Publikováno v:
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
Publikováno v:
2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS).
In this paper, we consider the problem of removing clouds and recovering ground cover information from remote sensing images by proposing novel framework based on a deep unfolded and prior-aided robust principal component analysis (DUPA-RPCA) network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::372f942f06bc2e8797975203a3bd4b65
https://doi.org/10.36227/techrxiv.20336805.v1
https://doi.org/10.36227/techrxiv.20336805.v1
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-15
This article proposes an online scheme for state estimation of a generic class of nonlinear dynamical systems in the presence of abnormal measurement data from sensors. We thoroughly illustrate why the performance of standard recursive Bayesian infer
Publikováno v:
IEEE Sensors Letters. 4:1-4
In this letter, we consider the problem of dynamic state estimation (DSE) in scenarios where sensor measurements are corrupted with outliers. For such situations, we propose a filter that utilizes maximum a posteriori estimation in the extended Kalma
State estimation of dynamical systems is crucial for providing new decision-making and system automation information in different applications. However, the assumptions on the standard computational models for sensor measurements can be violated in p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e31391a6e26aea7a5c6907fd7d8cf132
http://arxiv.org/abs/2112.14432
http://arxiv.org/abs/2112.14432
Autor:
Momin Uppal, Jawwad Nasar Chattha
Publikováno v:
IEEE Transactions on Wireless Communications. 18:296-309
We consider a non-orthogonal multiple access channel in which multiple users communicate with a base-station through a dedicated relay. For this setup, we propose a novel joint-noisy network-coded (J-NNC)-decode-and-forward (DF) cooperation scheme th
Considering a common case where measurements are obtained from independent sensors, we present a novel outlier-robust filter for nonlinear dynamical systems in this work. The proposed method is devised by modifying the measurement model and subsequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcade3201c55c5172edf41775dc3ad21