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Jing Liu, Xuesong Hai and Keqin Li
Massive amounts of data drive the performance of deep learning models, but in practice, data resources are often highly dispersed and bound by data privacy and security concerns, making it difficult for multiple data sources to share their local data dir...
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Prathamesh Lahande, Parag Kaveri and Jatinderkumar Saini
Cloud computing delivers robust computational services by processing tasks on its virtual machines (VMs) using resource-scheduling algorithms. The cloud?s existing algorithms provide limited results due to inappropriate resource scheduling. Additionally,...
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Liang Gong, Fei Huang, Wei Zhang, Yanming Li and Chengliang Liu
Photosynthesis is one of the key issues for vertical cultivation in plant factories, and efficient natural sunlight utilization requires predicting the light falling on each seedbed in a real-time manner. However, public weather services neither provide ...
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Xuansu Gao, Chengwu Liao, Chao Chen and Ruiyuan Li
Cycling?as a sustainable and convenient exercise and travel mode?has become increasingly popular in modern cities. In recent years, with the proliferation of sport apps and GPS mobile devices in daily life, the accumulated cycling trajectories have opene...
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Fan Huang , Nan Yang, Huaming Chen , Wei Bao and Dong Yuan
With the widespread use of end devices, online multi-label learning has become popular as the data generated by users using the Internet of Things devices have become huge and rapidly updated. However, in many scenarios, the user data are often generated...
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Halima Saker, Rainer Machné, Jörg Fallmann, Douglas B. Murray, Ahmad M. Shahin and Peter F. Stadler
The problem of segmenting linearly ordered data is frequently encountered in time-series analysis, computational biology, and natural language processing. Segmentations obtained independently from replicate data sets or from the same data with different ...
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Roberto Casadei, Danilo Pianini, Andrea Placuzzi, Mirko Viroli and Danny Weyns
Emerging cyber-physical systems, such as robot swarms, crowds of augmented people, and smart cities, require well-crafted self-organizing behavior to properly deal with dynamic environments and pervasive disturbances. However, the infrastructures providi...
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Michael Wegener, Klaus Spiekermann
Urban and regional models have been developed for different policy fields at different levels of spatial and temporal resolution. But it has become apparent that policies interact across space and time and need to be modelled together. The first urban an...
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Brent Mittelstadt
The conjunction of wireless computing, ubiquitous Internet access, and the miniaturisation of sensors have opened the door for technological applications that can monitor health and well-being outside of formal healthcare systems. The health-related Inte...
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Mathew Nicho, Mahmoud Hendy
Even though cloud computing, as a model, is not new, organizations are increasingly implementing it because of its large-scale computation and data storage, flexible scalability, relative reliability, and cost economy of services. However, despite its ra...
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