Zobrazeno 1 - 10
of 108 937
pro vyhledávání: '"John A"'
Autor:
Mohamed Abdelrazek, Yun Yang, Qiang He, Feifei Chen, John Hosking, John Grundy, Phu Lai, Guangming Cui
Publikováno v:
IEEE Transactions on Mobile Computing. 21:4263-4278
Mobile edge computing (MEC) allows edge servers to be placed at cellular base stations. App vendors like Uber and YouTube can rent computing resources and deploy latency-sensitive applications on edge servers for their users to access. Non-orthogonal
Publikováno v:
SIGSPATIAL/GIS
We study the problem of sub-trajectory nearest-neighbor queries on polygonal curves under the continuous Fréchet distance. Given an n vertex trajectory P and an m vertex query trajectory Q , we seek to report a vertex-aligned sub-trajectory P ′ of
Autor:
Bharath Balasubramanian, Rittwik Jana, Tommaso Melodia, Tuyen X. Tran, Yu Zhou, John Buczek, Lorenzo Bertizzolo
Publikováno v:
IEEE Transactions on Mobile Computing. 22:3004-3016
Enabling high data-rate uplink cellular connectivity for drones is a challenging problem, since a flying drone has a higher likelihood of having line-of-sight propagation to base stations that terrestrial UEs normally do not have line-of-sight to. Th
Autor:
John Rehbeck
Publikováno v:
Journal of Economic Behavior & Organization. 207:81-95
This paper studies when stochastic choices are consistent with behavior from Bayesian expected utility maximization and information acquisition. This is a limited dataset since other characterization require state-dependent stochastic choice data. Th
Autor:
Pravesh Parekh, Jitender Saini, Gaurav V. Bhalerao, Sanjeev Jain, Rashmi Rao, Vanteemar S. Sreeraj, John P. John, Ganesan Venkatasubramanian, Bharath Holla
Publikováno v:
International Journal of Methods in Psychiatric Research
ObjectiveThe Accelerator Program for Discovery in Brain Disorders using Stem Cells (ADBS) is a longitudinal study focused on collecting and analysing clinical, neuropsychological, neurophysiological, and multimodal neuroimaging data from five cohorts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bee6ba56b5dd16999afd3b99f86b37d9
https://doi.org/10.1002/mpr.1871
https://doi.org/10.1002/mpr.1871
Publikováno v:
ICT Express. 9:8-15
With the recent advancement in baseband integrated circuits and radio frequency (RF) technology, there is a strong demand to minimize the size of array-based microwave systems. However, array aperture miniaturization often leads to strong mutual coup
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems
Learning automata (LA) with artificially absorbing barriers was a completely new horizon of research in the 1980s (Oommen, 1986). These new machines yielded properties that were previously unknown. More recently, absorbing barriers have been introduc
Publikováno v:
IEEE Transactions on Mobile Computing. 22:906-922
Publikováno v:
Materials Today: Proceedings. 80:1706-1712
The parsing of floorplans has been an issue for a long time in automated document processing and with algorithmic methods until recent years. This problem has also improved output with the emergence of convolutionary neural networks (CNN). The job he
Quantifying Worker Reliability for Crowdsensing Applications: Robust Feedback Rating and Convergence
Autor:
John C. S. Lui, Hong Xie
Publikováno v:
IEEE Transactions on Mobile Computing. 22:459-471
Worker reliability estimation is fundamental for crowdsensing applications. This paper studies a robust feedback rating approach to estimate worker reliability. In this approach, the requester provides a feedback rating to reflect the quality of the