COMPARATIVE ANALYSIS OF DEEP REINFORCEMENT LEARNING ALGORITHMS FOR HOVER-TO-CRUISE TRANSITION MANEUVERS OF A TILT-ROTOR UNMANNED AERIAL VEHICLE

Comparative Analysis of Deep Reinforcement Learning Algorithms for Hover-to-Cruise Transition Maneuvers of a Tilt-Rotor Unmanned Aerial Vehicle

Work on trajectory optimization is evolving rapidly due to the introduction of Artificial-Intelligence (AI)-based algorithms.Small UAVs are expected to execute versatile maneuvers in unknown environments.Prior studies on these UAVs have focused on conventional controller design, modeling, and performance, which have posed various challenges.However

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A Causal-Mentalist View of Propositions

In order to fulfil their essential roles as the bearers of truth and the relata of logical relations, propositions must be public and shareable.That requirement has favoured Platonist and other non-mental views of them, despite the well-known problems of Platonism in general.Views that propositions are mental entities have correspondingly fallen ou

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The Role of Mediation when Constructing Historical Concepts

The paper presents the analysis of discursive interactions happening in collective level in SINNA a 3rd grade History class, under the context of an action research, aimed at the construction of the concept of migration by the students.The theoretical assumption was that the construction and appropriation of historic knowledge by them are not direc

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Identification and prediction of diabetic sensorimotor polyneuropathy using individual and simple combinations of nerve conduction study parameters.

OBJECTIVE: Evaluation of diabetic sensorimotor polyneuropathy (DSP) is hindered by the need for complex nerve conduction study (NCS) protocols and lack of predictive biomarkers.We aimed to determine the performance of single and simple combinations of NCS parameters for identification and future prediction of DSP.MATERIALS AND METHODS: 406 particip

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