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Nenad Marku? and Mirko Su?njevic
Recently, there has been renewed interest in signed distance bound representations due to their unique properties for 3D shape modelling. This is especially the case for deep learning-based bounds. However, it is beneficial to work with polygons in most ...
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Ivan Shtepliuk
This paper presents a theoretical study on the effects of selected defects (oxygen vacancies and substitutional FeZn atoms) on the structural and electronic properties of a 2D ZnO/graphene heterostructure. Spin-polarized Hubbard- and dispersion-corrected...
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Lulu Cheng, Ning Zhao, Kan Wu and Zhibin Chen
Autonomous mobile robots (AMRs) play a crucial role in transportation and service tasks at hospitals, contributing to enhanced efficiency and meeting medical demands. This paper investigates the optimization problem of scheduling strategies for AMRs at s...
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Helen Papadaki, Evaggelos Kaselouris, Makis Bakarezos, Michael Tatarakis, Nektarios A. Papadogiannis and Vasilis Dimitriou
The dynamic behavior of solid Si targets irradiated by nanosecond laser pulses is computationally studied with transient, therm?mechanical three-dimensional finite element method simulations. The dynamic phase changes of the target and the generation and...
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Fatima Jafar Muhdher, Osama Ahmed Abulnaja and Fatmah Abdulrahman Baothman
The Cultural Crowd?Artificial Neural Network (CC-ANN) takes the cultural dimensions of a crowd into account, based on Hofstede Cultural Dimensions (HCDs), to predict social and physical behavior concerning cohesion, collectivity, speed, and distance. Thi...
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