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Published in 2020 at "Wireless Networks"
DOI: 10.1007/s11276-020-02366-4
Abstract: Ad hoc wireless networks have aroused much interest of the scientific community in the last two decades. The provision of Quality of Service (QoS) is a prominent challenge in this research field, since these networks…
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Keywords:
proactive routing;
wireless networks;
adaptive framework;
hoc wireless ... See more keywords
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Published in 2018 at "International journal of disaster risk reduction"
DOI: 10.1016/j.ijdrr.2018.02.004
Abstract: Resilience is a multifaceted phenomenon, and approaches to measure resilience across disciplines have produced wide-ranging methods. This paper presents an inclusive and adaptive ‘5S’ social resilience framework that was developed based on the critical review…
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Keywords:
inclusive adaptive;
resilience;
adaptive framework;
social resilience ... See more keywords
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Published in 2023 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3231825
Abstract: A low capital and operational expense (CAPEX, OPEX) based blockage mitigation solution may be needed to provide uninterrupted connectivity in low-budget indoor millimeter-wave (mmWave) scenarios. For this, several solutions based on dynamic-control-delegation (DCD) at the…
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Keywords:
connectivity;
framework enhanced;
connectivity mmwave;
enhanced connectivity ... See more keywords
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Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3062602
Abstract: We present a method to infer a dense depth map from a color image and associated sparse depth measurements. Our main contribution lies in the design of an annealing process for determining co-visibility (occlusions, disocclusions)…
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Keywords:
adaptive framework;
unsupervised depth;
depth completion;
depth ... See more keywords
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Published in 2026 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2025.3624289
Abstract: Direction optimization determines whether to use Sparse Matrix-Sparse Vector Multiplication (SpMSpV) or Sparse Matrix-Dense Vector Multiplication (SpMV) based on the input vector’s sparsity at each iteration of Breadth-First Search (BFS), aiming to achieve the fastest…
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Keywords:
bold underline;
heterogeneous platforms;
adaptive framework;
bfs ... See more keywords
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Published in 2024 at "Computational Intelligence"
DOI: 10.1111/coin.12658
Abstract: The quality of machine learning (ML) models deployed in dynamic environments tends to decline over time due to disparities between the data used for training and the upcoming data available for prediction, which is commonly…
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Keywords:
drift;
drift detection;
time;
adaptive framework ... See more keywords