Zobrazeno 1 - 10
of 498
pro vyhledávání: '"Barton, Robert A."'
Publikováno v:
Published in IEEE Internet of Things Journal, 2021
Energy load balancing is an essential issue in designing wireless sensor networks (WSNs). Clustering techniques are utilized as energy-efficient methods to balance the network energy and prolong its lifetime. In this paper, we propose an improved sof
Externí odkaz:
http://arxiv.org/abs/2403.15700
Publikováno v:
IEEE TWC, 2023
Maintaining freshness of data collection in Internet-of-Things (IoT) networks has attracted increasing attention. By taking into account age-of-information (AoI), we investigate the trajectory planning problem of an unmanned aerial vehicle (UAV) that
Externí odkaz:
http://arxiv.org/abs/2401.02425
Chirps spread spectrum (CSS) modulation is the heart of long-range (LoRa) modulation used in the context of long-range wide area network (LoRaWAN) in internet of things (IoT) scenarios. Despite being a proprietary technology owned by Semtech Corp., L
Externí odkaz:
http://arxiv.org/abs/2310.10503
This paper proposes a novel design of multi-symbol unitary constellation for non-coherent single-input multiple-output (SIMO) communications over block Rayleigh fading channels. To facilitate the design and the detection of large unitary constellatio
Externí odkaz:
http://arxiv.org/abs/2305.02646
In this paper, we present a device-to-device (D2D) transmission scheme for aiding long-range frequency hopping spread spectrum (LR-FHSS) LoRaWAN protocol with application in direct-to-satellite IoT networks. We consider a practical ground-to-satellit
Externí odkaz:
http://arxiv.org/abs/2212.04331
Autor:
Wu, Yulun, Barton, Robert A., Wang, Zichen, Ioannidis, Vassilis N., De Donno, Carlo, Price, Layne C., Voloch, Luis F., Karypis, George
Predicting the responses of a cell under perturbations may bring important benefits to drug discovery and personalized therapeutics. In this work, we propose a novel graph variational Bayesian causal inference framework to predict a cell's gene expre
Externí odkaz:
http://arxiv.org/abs/2210.00116
Autor:
Wu, Yulun, Price, Layne C., Wang, Zichen, Ioannidis, Vassilis N., Barton, Robert A., Karypis, George
Estimating an individual's potential outcomes under counterfactual treatments is a challenging task for traditional causal inference and supervised learning approaches when the outcome is high-dimensional (e.g. gene expressions, impulse responses, hu
Externí odkaz:
http://arxiv.org/abs/2209.05935
The problem of how to genetically modify cells in order to maximize a certain cellular phenotype has taken center stage in drug development over the last few years (with, for example, genetically edited CAR-T, CAR-NK, and CAR-NKT cells entering cance
Externí odkaz:
http://arxiv.org/abs/2207.12805
Autor:
Gigante, Scott, Raghavan, Varsha G., Robinson, Amanda M., Barton, Robert A., Rahman, Adeeb H., Wulsin, Drausin F., Banchereau, Jacques, Solomon, Noam, Voloch, Luis F., Theis, Fabian J.
Translating the relevance of preclinical models ($\textit{in vitro}$, animal models, or organoids) to their relevance in humans presents an important challenge during drug development. The rising abundance of single-cell genomic data from human tumor
Externí odkaz:
http://arxiv.org/abs/2205.07110
Employing unmanned aerial vehicles (UAVs) has attracted growing interests and emerged as the state-of-the-art technology for data collection in Internet-of-Things (IoT) networks. In this paper, with the objective of minimizing the total energy consum
Externí odkaz:
http://arxiv.org/abs/2112.00333