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Published in 2021 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-021-02899-y
Abstract: This paper gives a new formulation to design adaptive structures through total energy optimization (TEO). This methodology enables the design of truss as well as tensegrity configurations that are equipped with linear actuators to counteract…
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Keywords:
energy;
energy minimization;
tensegrity;
optimization ... See more keywords
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Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1279-4
Abstract: Energy minimization in sensor nodes is the problem in wireless sensor networks (WSNs). The most widely accepted method to preserve energy of sensor nodes is clustering. In cluster based networks, energy consumption is higher in…
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Keywords:
energy;
energy minimization;
sensor networks;
wireless sensor ... See more keywords
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Published in 2017 at "International Journal of Fracture"
DOI: 10.1007/s10704-016-0167-x
Abstract: An energy minimization approach to initially rigid cohesive fracture is proposed, whose key feature is a term for the energy stored in the interfaces that is nondifferentiable at the origin. A consequence of this formulation…
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Keywords:
energy;
energy minimization;
minimization;
cohesive fracture ... See more keywords
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Published in 2017 at "Journal of Scientific Computing"
DOI: 10.1007/s10915-017-0414-y
Abstract: Surface parameterizations have been widely applied to digital geometry processing. In this paper, we propose an efficient conformal energy minimization (CEM) algorithm for computing conformal parameterizations of simply-connected open surfaces with a very small angular…
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Keywords:
conformal parameterizations;
cem algorithm;
energy minimization;
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Published in 2020 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-020-01673-9
Abstract: In the field of diagnosis and treatment planning of kidney-related diseases, accurate kidney segmentation is challenging due to intensity inhomogeneity caused by imperfections during image acquisition process. This study presents a model, which consists of…
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Keywords:
energy minimization;
contour;
model;
kidney ... See more keywords
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Published in 2017 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2017.1312616
Abstract: ABSTRACT The constrained energy minimization (CEM) and matched filter (MF) are two most frequently used target detection algorithms in the remotely sensed community. In this paper, we first introduce an augmented CEM (ACEM) by adding…
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Keywords:
constrained energy;
cem;
energy minimization;
filter always ... See more keywords
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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3205211
Abstract: Hyperspectral images contain abundant spectral information, which provides great potential for detecting targets that cannot be analyzed with color images. However, a variety of factors, including inherent spectral variability and noise, make it difficult for…
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Keywords:
hyperspectral target;
target detection;
energy minimization;
constrained energy ... See more keywords
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Published in 2023 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2023.3245280
Abstract: Limited energy resources remain a challenge for wireless devices in federated learning (FL) networks. To tackle this issue, a joint resource allocation problem is formulated to minimize the total energy consumption for wireless-powered FL networks…
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Keywords:
wireless;
federated learning;
energy;
energy minimization ... See more keywords
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Published in 2018 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2016.2522439
Abstract: Cloud radio access network (C-RAN) has emerged as a potential candidate of the next generation access network technology to address the increasing mobile traffic, while mobile cloud computing (MCC) offers a prospective solution to the…
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Keywords:
resource;
resource allocation;
energy minimization;
energy ... See more keywords
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Published in 2020 at "European Transport Research Review"
DOI: 10.1186/s12544-019-0393-1
Abstract: Background and methodsThis paper addresses, in simulation, energy minimization of an autonomous electric minibus operating in an urban environment. Two different case studies have been considered, each involving a total of 10 different 2?km bus…
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Keywords:
energy;
energy minimization;
genetic algorithm;
case ... See more keywords