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Shuo Liu, Bohan Feng, Youyi Bi and Dan Yu
Mobile robots play an important role in smart factories, though efficient task assignment and path planning for these robots still present challenges. In this paper, we propose an integrated task- and path-planning approach with precedence constrains in ...
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Grigori Sidorov, Fazlourrahman Balouchzahi, Sabur Butt and Alexander Gelbukh
In this paper, we analyzed the performance of different transformer models for regret and hope speech detection on two novel datasets. For the regret detection task, we compared the averaged macro-scores of the transformer models to the previous state-of...
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Shiva Raj Pokhrel and Carey Williamson
There is no well-defined utility function for existing multipath TCP algorithms. Therefore, network utility maximization (NUM) for MPTCP is a complex undertaking. To resolve this, we develop a novel condition under which Kelly?s NUM mechanism may be used...
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Arman Alahyari, David Pozo and Meisam Farrokhifar
With the recent advent of technology within the smart grid, many conventional concepts of power systems have undergone drastic changes. Owing to technological developments, even small customers can monitor their energy consumption and schedule household ...
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Glaucia Miura Ota,Adriano Maniçoba da Silva
Pág. 1696 - 1707
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Soon Ho Kwon, Donghwi Jung and Joong Hoon Kim
A traditional urban drainage system (UDS) planning approach generally considers the most probable future rainfall scenario. However, this single scenario (i.e., scenario-optimal) planning approach is prone to failure under recent climatic conditions, whi...
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Xu Guo, Wing-Keung Wong
Pág. 157 - 161
Previous studies focused on the comparison of the optimal output levels of regret- averse firms under uncertainty and firms under certainty. This paper extends the theory by further investigating the effects of regret-aversion on production. We compare t...
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Sander van Cranenburgh, Caspar G. Chorus
Pág. 848 - 867
This paper is the first to study to what extent decision rules, embedded in disaggregate discrete choice models, matter for large-scale aggregate level mobility forecasts. Such large-scale forecasts are a crucial underpinning for many transport infrastru...
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Eleni Charoniti, Soora Rasouli, Harry J.P. Timmermans
Pág. 89 - 96
Understanding variability in observed travel behavior has been one of the major research topics in travel behavior analysis and travel demand modeling. Differences in outcomes of travel decisions can be attributed to observed and non-observed differences...
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Athanasios Lois, Athanasios Ziliaskopoulos
Pág. 377 - 384
In this paper, an online regret based dial-a-ride (OR-DARP) algorithm is introduced and its performance evaluated on an actual demand responsive transit (DRT) system. The innovative part of the algorithm is the design of the optimization engine. A signal...
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