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pro vyhledávání: '"William Sean Kennedy"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 5027-5036 (2024)
Deep reinforcement learning (DRL) has been a key machine learning technique in many 5G and 6G applications. DRL agents learn optimal (or sub-optimal) policies by interacting with the environment. However, this process often involves numerous uninform
Externí odkaz:
https://doaj.org/article/69611c5d9bb84b1bb059b02f12d081e2
Autor:
Turgay Pamuklu, Anne Catherine Nguyen, Aisha Syed, William Sean Kennedy, Melike Erol-Kantarci
Aerial base stations (ABSs) allow smart farms to offload processing responsibility of complex tasks from internet of things (IoT) devices to ABSs. IoT devices have limited energy and computing resources, thus it is required to provide an advanced sol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c43cf2e3033115aee27cdf8584a49da2
Publikováno v:
2020 IEEE Photonics Conference (IPC).
Microparticle biosensors embedded in 3D tissue-mimics were spatiotemporally monitored in a completely automated pipeline using deep learning. Localization and estimation of microparticle response from OCT imaging was achieved using 3D convolutional n
Publikováno v:
COSN
The detection of communities in real-world large-scale complex networks is a fundamental step in many applications, such as describing community structure and predicting the dissemination of information. Unfortunately, community detection is a comput
Publikováno v:
Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques ISBN: 9783642403279
APPROX-RANDOM
APPROX-RANDOM
Given an interval I = {1,2, ..., n} of points, a collection \(\mathcal I\) of subintervals of I and a fraction 0 ≤ r ≤ 1, we consider the following variation of partial set cover. We wish to find an optimal subset of \(\mathcal I\) covering at le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e97e42630dacb29a8f11781c38c2f49d
https://doi.org/10.1007/978-3-642-40328-6_9
https://doi.org/10.1007/978-3-642-40328-6_9