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Supattra Puttinaovarat and Paramate Horkaew
Green space areas are one of the key factors in people?s livelihoods. Their number and size have a significant impact on both the environment and people?s quality of life, including their health. Accordingly, government agencies often rely on information...
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Sijin Wu, Susan Grant-Muller and Lili Yang
In many countries, governments have implemented non-pharmaceutical techniques to limit COVID-19 transmission. Restricting human mobility is one of the most common interventions, including lockdown, travel restrictions, working from home, etc. However, du...
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Margherita Vestoso
While securing personal data from privacy violations, the new General Data Protection Regulation (GDPR) explicitly challenges policymakers to exploit evidence from social data-mining in order to build better policies. Against this backdrop, two issues be...
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Margherita Vestoso
While securing personal data from privacy violations, the new General Data Protection Regulation (GDPR) explicitly challenges policymakers to exploit evidence from social data-mining in order to build better policies. Against this backdrop, two issues be...
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Alevizos Bastas and George A. Vouros
With the aim to enhance automation in conflict detection and resolution (CD&R) tasks in the air traffic management (ATM) domain, this article studies the use of artificial intelligence and machine learning (AI/ML) methods to learn air traffic control...
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Davy Preuveneers and Wouter Joosen
Microservices offer a compelling competitive advantage for building data flow systems as a choreography of self-contained data endpoints that each implement a specific data processing functionality. Such a ?single responsibility principle? design makes t...
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Johannes Hüffmeier and Mathias Johanson
Generating energy efficiency through behavioural change requires not only understanding and empathy with user interests and needs but also the fostering of energy saving awareness, a technique and framework that supports operators and ship owners. There ...
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Lei Wang, Chenguang Wang and Huabing Wang
In order to accelerate the execution of streaming applications on multi-core systems, this article studies the scheduling problem of synchronous data flow graphs (SDFG) on homogeneous multi-core systems. To describe the data flow computation process, we ...
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Qiqi Zhou and Igor Stefan Mayer
How do policy analysts perceive the various roles that Models, Simulations and Games (MSG) have, or can have in Integrated Water Resources Management (IWRM)? Fifty-five policy analysts in water management in The Netherlands and China were interviewed, fo...
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Juyao Wei, Zhenggang Lu, Zheng Yin and Zhipeng Jing
This paper presents a novel data-driven multiagent reinforcement learning (MARL) controller for enhancing the running stability of independently rotating wheels (IRW) and reducing wheel?rail wear. We base our active guidance controller on the multiagent ...
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Yang Shi, Zhenbo Wang, Tim J. LaClair, Chieh (Ross) Wang, Yunli Shao and Jinghui Yuan
The advent of connected vehicle (CV) technology offers new possibilities for a revolution in future transportation systems. With the availability of real-time traffic data from CVs, it is possible to more effectively optimize traffic signals to reduce co...
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Anqi Wang, Anshu Zhang, Edwin H. W. Chan, Wenzhong Shi, Xiaolin Zhou and Zhewei Liu
Along with the increase of big data and the advancement of technologies, comprehensive data-driven knowledge of urban systems is becoming more attainable, yet the connection between big-data research and its application e.g., in smart city development, i...
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Xiao Huang, Zhenlong Li, Junyu Lu, Sicheng Wang, Hanxue Wei and Baixu Chen
In this study, we investigate the potential driving factors that lead to the disparity in the time-series of home dwell time in a data-driven manner, aiming to provide fundamental knowledge that benefits policy-making for better mitigation strategies of ...
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Muhammad Mahboob Khurshid, Nor Hidayati Zakaria, Ammar Rashid, Mohammad Nazir Ahmad, Muhammad Irfanullah Arfeen and Hafiz Muhammad Faisal Shehzad
Open government data (OGD) has huge potential to increase transparency, accountability, and participation while improving efficiency in operations, data-driven and evidence-based policymaking, and trust in government institutions. Despite its potential b...
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Rui Wang and Yijing Li
Given the paramount impacts of COVID-19 on people?s lives in the capital of the UK, London, it was foreseeable that the city?s crime patterns would have undergone significant transformations, especially during lockdown periods. This study aims to testify...
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Xu Huang, Yuan Zhang, Jiarun Liu, Honghao Zhong, Zhaolei Wang and Yue Peng
A data-driven nonlinear control approach, called error dynamics-based dual heuristic dynamic programming (ED-DHP), is proposed for air vehicle attitude control. To solve the optimal tracking control problem, the augmented system is defined by the derived...
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Cihan Ates, Dogan Bicat, Radoslav Yankov, Joel Arweiler, Rainer Koch and Hans-Jörg Bauer
In this study, we propose a population-based, data-driven intelligent controller that leverages neural-network-based digital twins for hypothesis testing. Initially, a diverse set of control laws is generated using genetic programming with the digital tw...
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Hicham Mharzi Alaoui, Hassan Radoine, Jérôme Chenal, Hassan Yakubu and Salwa Bajja
With the rapid urbanization occurring across African cities, the emergence of a middle class is exerting its influence on the urban form and structure. Matching their social status and drawing on global influences, the housing characteristics of this cla...
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Alemtsehai A. Turasie
Several studies have indicated that the social, economic and other impacts of global warming can be linked with changes in the frequency and intensity of extreme weather/climate events. Developing countries, particularly in the African region, are highly...
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Ganesh R. Ghimire, Sanjib Sharma, Jeeban Panthi, Rocky Talchabhadel, Binod Parajuli, Piyush Dahal and Rupesh Baniya
Improving decision-making in various areas of water policy and management (e.g., flood and drought preparedness, reservoir operation and hydropower generation) requires skillful streamflow forecasts. Despite the recent advances in hydrometeorological pre...
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