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Christopher Tsang, James Parker and David Glew
A substantial number of dwellings in the UK have poor building fabric, leading to higher carbon emissions, fuel expenses, and the risk of cold homes. To tackle these challenges, domestic energy efficiency policies are being implemented. One effective app...
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Mauro Dell?Amico, Jafar Jamal and Roberto Montemanni
The minimum-cost arborescence problem is a well-studied problem. Polynomial-time algorithms for solving it exist. Recently, a new variation of the problem called the Precedence-Constrained Minimum-Cost Arborescence Problem with Waiting Times was presente...
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Sharanya Srinivas, Samuel Welker, Andrew Herschfelt and Daniel W. Bliss
As radio frequency (RF) hardware continues to improve, many technologies that were traditionally impractical have suddenly become viable alternatives to legacy systems. Two-way ranging (TWR) is often considered a poor positioning solution for airborne an...
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Zhiqiang Niu, Shengnan Wu and Xuesong (Simon) Zhou
Focusing on the dynamic improvement of the underlying service network configuration, this paper aims to address a specific challenge of redesigning a multi-echelon city logistics distribution network. By considering the intra-echelon connection of facili...
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Batuhan Arasli and Sennur Ulukus
Group testing idea is an efficient approach to detect prevalence of an infection in the test samples taken from a group of individuals. It is based on the idea of pooling the test samples and performing tests to the mixed samples. This approach results i...
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Hadis Pakdel, Dev Raj Paudyal, Sreeni Chadalavada, Md Jahangir Alam and Majid Vazifedoust
The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions is ...
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Changwha Oh, Yongwan Chun and Hyun Kim
This research employs a spatial optimization approach customized for addressing equitable emergency medical facility location problems through the p-dispersed-median problem (p-DIME). The p-DIME integrates two conflicting classes of spatial optimization ...
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Akram Seifi, Soudabeh Golestani Kermani, Amir Mosavi and Fatemeh Soroush
Quantitatively analyzing models? uncertainty is essential for agricultural models due to the effect of inputs parameters and processes on increasing models? uncertainties. The main aim of the current study was to explore the influence of input parameter ...
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Ashwin Jacob, Diptapriyo Majumdar and Venkatesh Raman
In parameterized complexity, it is well-known that a parameterized problem is fixed-parameter tractable if and only if it has a kernel?an instance equivalent to the input instance, whose size is just a function of the parameter. The size of the kernel ca...
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Ketan Dalal, Luc Devroye and Ebrahim Malalla
Linear probing continues to be one of the best practical hashing algorithms due to its good average performance, efficiency, and simplicity of implementation. However, the worst-case performance of linear probing seems to degrade with high load factors d...
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