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Yi Wang, Yating Xu, Tianjian Li, Tao Zhang and Jian Zou
Image deblurring based on sparse regularization has garnered significant attention, but there are still certain limitations that need to be addressed. For instance, convex sparse regularization tends to exhibit biased estimation, which can adversely impa...
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Yang Yu, Huiping Xu and Changwei Xu
Seafloor observatories enable continuous power supply and real-time bidirectional data transmission, which marks a new way for marine environment monitoring. As in situ observation produces massive data in a constant way, the research involved with data ...
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Lingjun Liu, Zhonghua Xie and Cui Yang
We propose a novel fast iterative thresholding algorithm for image compressive sampling (CS) recovery using three existing denoisers?i.e., TV (total variation), wavelet, and BM3D (block-matching and 3D filtering) denoisers. Through the use of the recentl...
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Lingjun Liu, Zhonghua Xie and Cui Yang
We propose a novel fast iterative thresholding algorithm for image compressive sampling (CS) recovery using three existing denoisers?i.e., TV (total variation), wavelet, and BM3D (block-matching and 3D filtering) denoisers. Through the use of the recentl...
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Wei Deng, Wei Pei, Ziqi Shen, Zhenxing Zhao and Hui Qu
Automatically identifying the new equipment after its integration and adjusting operation strategy to realize ?plug and play? functionality are becoming essential for micro-grid operations. In order to improve and perfect the micro-grid ?plug and play? f...
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Wei Li, Junfang Ma, Tao Zhu, Haiqiao Wei and Jiaying Pan
To evaluate the significance of the geometrical parameters of a passive pre-chamber on engine performance, this study investigated the design of a plug-and-play passive pre-chamber in a 15 L heavy-duty natural gas engine. Multi-dimensional numerical inve...
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Clare Newton, Sarah Backhouse, Ajibade A. Aibinu, Benjamin Cleveland, Robert H. Crawford, Dominik Holzer, Philippa Soccio and Thomas Kvan
While relocatable, prefabricated learning environments have formed an important component of school infrastructure in Australia, prefabrication for permanent school buildings is a new and emerging field. This review of prefabrication for schools is timel...
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Clare Newton, Sarah Backhouse, Ajibade A. Aibinu, Benjamin Cleveland, Robert H. Crawford, Dominik Holzer, Philippa Soccio and Thomas Kvan
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This paper proposes an alterable structure power router (PR) topology which shares the ability of general Alternating Current (AC) and Direct Current (DC) port. This alterable structure PR aims to better implement the interconnections among micro-grids, ...
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Simona D?Oca, Annarita Ferrante, Clara Ferrer, Roberta Pernetti, Anna Gralka, Rizal Sebastian and Peter Op ?t Veld
With a low rate of new building construction and an insufficient rate of existing building renovation, there is the need to step up the pace of building renovation with ambitious performance targets to achieve European Union (EU) climate change policies ...
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Chujia Guo, Aimin Zhang, Hang Zhang and Lei Zhang
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Zhibo Zhang, Bowen Zhou, Guangdi Li, Peng Gu, Jing Huang and Boyu Liu
Island microgrids play a crucial role in developing and utilizing offshore renewable energy sources. However, high operation costs and limited operational flexibility are significant challenges. To address these problems, this paper proposes a novel dual...
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Jonathan Demelo and Kamran Sedig
In this paper, we investigate ontology-supported interfaces for health informatics search tasks involving large document sets. We begin by providing background on health informatics, machine learning, and ontologies. We review leading research on health ...
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Songyuan Li, Hao Zeng, Huanyu Wang and Xi Li
Salient Object Detection (SOD) aims at identifying the most visually distinctive objects in a scene. However, learning a mapping directly from a raw image to its corresponding saliency map is still challenging. First, the binary annotations of SOD impede...
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Alessandro Torrisi, Kasim Sinan Yildirim and Davide Brunelli
Self-sustainable energy harvesting for Internet of Things devices is challenging since ambient energy may be sporadic and unpredictable. This situation leads to frequent power failures that lead to intermittent operations, which prevent the reliability o...
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Kiseong Hong, Gyeong-hyeon Kim and Eunwoo Kim
Despite the continuous development of convolutional neural networks, it remains a challenge to achieve performance improvement with fewer parameters and floating point operations (FLOPs) as a light-weight model. In particular, excessive expressive power ...
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Jonathan Demelo and Kamran Sedig
We investigate the design of ontology-supported, progressively disclosed visual analytics interfaces for searching and triaging large document sets. The goal is to distill a set of criteria that can help guide the design of such systems. We begin with a ...
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Jie Chen, Hailin Liu, Bin Lv, Chao Liu, Xiaonan Zhang, Hui Li, Lin Cao and Junhe Wan
An extensible remote monitoring system for a seafloor observatory network in Laizhou Bay was established to realize long-term, continuous and on-line monitoring for a marine ranching environment. This paper deals with data communication, device managemen...
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Maria Skublewska-Paszkowska, Pawel Powroznik, Jakub Smolka, Marek Milosz, Edyta Lukasik, Dilbar Mukhamedova and Elzbieta Milosz
Traditional dance is one of the key elements of Intangible Culture Heritage (ICH). Many scientific papers concern analysis of dance sequences, classification and recognition of movements, making ICH data public, creating and visualising 3D models or soft...
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Lorenzo Trainelli, Francesco Salucci, Carlo E. D. Riboldi, Alberto Rolando and Federico Bigoni
The adoption of hybrid-electric aircraft is expected to have a considerable impact on airport operations, with the need of new infrastructural requirements to support electric-powered fleets. In particular, battery-charging requirements shall play a deci...
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