Titlebook: Complex, Intelligent and Software Intensive Systems; Proceedings of the 1 Leonard Barolli Conference proceedings 2022 The Editor(s) (if app

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,Unnecessary Maneuvers as?a?Determinant of?Driver Impatience in?VANETs: Implementation and?Evaluatioaneuvers that drivers make while driving as an additional input. We show through simulations the effect that the unnecessary maneuvers and the other parameters have on the determination of the driver’s impatience and demonstrate some actions that can be performed when the driver shows high degrees of impatience.

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,A Fast Convergence RDVM for?Router Placement in?WMNs: Performance Comparison of?FC-RDVM with?RDVM btional Decrement of Vmax Method (RDVM). In this paper, we propose and implement a Fast Convergence RDVM (FC-RDVM). We compare the performance of FC-RDVM with RDVM. Simulation results show that FC-RDVM has better performance than RDVM.

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Examination of Robot System Detecting Smoke Condition in the Event of a Fire,tereo camera identifies the smoke, obtains the three-dimensional coordinates of the smoke, and ascertains whether the smoke height affects the evacuation. We show the effectiveness of proposed system thorough some experiments.

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https://doi.org/10.1007/978-3-030-61698-4esh routers in WMNs. For the simulations, we consider the evacuation areas in Okayama City, Japan, as the target to be covered by mesh routers. From the simulation results, we found that the proposed method was able to cover the evacuation area. The proposed method also reduced the number of mesh ro

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Second Order Linear State Models,2 provides the highest classification performance when taking the lead in all three metrics of ACC, AUC, and MCC with 0.77, 0.804, and 0.619, respectively. The results also show that data augmentation techniques can improve the efficiency of the classification algorithms on the ultrasound image data