Results 11 to 20 of about 7,625,750 (291)
Analysis using large-scale ringing data [PDF]
Animal Biodiversity and Conservation, 2004 Birds are highly mobile organisms and there is increasing evidence that studies at large spatial scales are needed if we are to properly understand their population dynamics. While classical metapopulation models have rarely proved useful for birds, more
Baillie, S. R., Doherty, P. F.
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An Energy Aware Routing Protocol in Wireless Sensor Network [PDF]
Jisuanji gongcheng, 2017 In order to prolong the life cycle of wireless sensor network,this paper proposes an energy aware routing protocol MAPA-MIPC based on clustering network,which combines the supplement of nodes’ energy and the energy saving routing.Using solar energy as an
MA Li,ZHU Dawen,MA Dongchao,FU Yingxun,ZHANG Yongmei
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Digital Communications and Networks, 2022 The integration of cloud and IoT edge devices is of significance in reducing the latency of IoT stream data processing by moving services closer to the edge-end.
Shouli Zhang +3 more
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Graph Neural Network for Traffic Flow Situation Prediction
Jisuanji kexue yu tansuo, 2021 Road network structure integrated traffic flow situation prediction is a highly nonlinear and complexly spatial-temporal dynamic correlation time-series data prediction problem. However, traditional traffic flow situation forecasting methods cannot model
JIANG Shan, DING Zhiming, XU Xinrun, YAN Jin
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Emergency logistics scheduling with multiple supply-demand points based on grey interval
Journal of Safety Science and Resilience, 2022 This study aimed to address the problem of post-disaster emergency material dispatching from multiple supply points to multiple demand points. In large-scale natural disasters, it is very important for multiple emergency material supply points to serve ...
Zhiming Ding +4 more
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Large scale data analysis using MLlib
TELKOMNIKA (Telecommunication Computing Electronics and Control), 2021 Recent advancements in the internet, social media, and internet of things (IoT) devices have significantly increased the amount of data generated in a variety of formats. The data must be converted into formats that is easily handled by the data analysis techniques.
Ahmed Hussein Ali +4 more
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Extraction of Maritime Road Networks From Large-Scale AIS Data
IEEE Access, 2019 Extracting road network information including lane boundaries, lane centerlines, junctions and their relationship from AIS data plays an important role in location based services, urban computing and intelligent transportation systems, etc.
Guiling Wang, Jinlong Meng, Yanbo Han
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A Semiblind Receiver for a Two-Way UAV-Aided PIC System Based on the PARAFAC Model
International Journal of Antennas and Propagation, 2022 In this paper, we consider a two-way communication system using the unmanned aerial vehicle (UAV) as a relay (UAV-aided). This system eliminates impulse interference through an adaptive filter based on the least mean square (LMS) and uses the received ...
Xi Han +4 more
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Kernel methods for large-scale genomic data analysis [PDF]
Briefings in Bioinformatics, 2014 Machine learning, particularly kernel methods, has been demonstrated as a promising new tool to tackle the challenges imposed by today's explosive data growth in genomics. They provide a practical and principled approach to learning how a large number of genetic variants are associated with complex phenotypes, to help reveal the complexity in the ...
Xuefeng, Wang +2 more
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Tag-Count Analysis of Large-Scale Proteomic Data [PDF]
Journal of Proteome Research, 2016 Label-free quantitative methods are advantageous in bottom-up (shotgun) proteomics because they are robust and can easily be applied to different workflows without additional cost. Both label-based and label-free approaches are routinely applied to discovery-based proteomics experiments and are widely accepted as semiquantitative.
Owen E, Branson, Michael A, Freitas
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