Results 11 to 20 of about 67,348 (224)
Analysis of accuracy of Williams series approximation of stress field in cracked body – influence of area of interest around crack-tip on multi-parameter regression performance [PDF]
Fracture and Structural Integrity, 2017 A study on the accuracy of an approximation of the stress field in a cracked body is presented. Crack-tip stress tensor is expressed using the linear elastic fracture mechanics (LEFM) theory in this work, more precisely via its multi-parameter ...
J. Sobek, P. Frantík, V. Veselý
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Sensors, 2023 Multi-robot exploration means constructing a finite map using a group of robots in an obstacle chaotic space. Uncertainties are reduced by distributing search tasks to robots and computing the best action in real time.
Ali El Romeh, Seyedali Mirjalili
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Results in Optics, 2023 We propose a novel approach to address the problem of measurement accuracy in analyzing the distance between the peak positions of interference envelopes in multi-pulse train (MPT) interferometry.
Dong Wei, Taketo Miura
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Comparison Between Deterministic and Stochastic Interpolation Methods for Predicting Ground Water Level in Baghdad [PDF]
Engineering and Technology Journal, 2018 Surface interpolation techniques are usually used to create continuous data (i.e. raster data) from distributed set of point data over a geographical region.
Muammar Ali +2 more
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Evaluation of Deterministic seismic hazard in Nowshahr Port by using fuzzy system [PDF]
مخاطرات محیط طبیعی, 2019 The purpose of the seismic hazard analysis is to predict the extent of the strong ground movements over a certain period of time on a specific site. There are uncertainties in all the inputs of the risk analysis, each of which expresses a property.
Farsahad Alizadeh +2 more
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Chaotic van der Pol Oscillator Control Algorithm Comparison
Dynamics, 2023 The damped van der Pol oscillator is a chaotic non-linear system. Small perturbations in initial conditions may result in wildly different trajectories.
Lauren Ribordy, Timothy Sands
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Probabilistic Meta-Conv1D Driving Energy Prediction for Mobile Robots in Unstructured Terrains
IEEE Access, 2022 Driving energy consumption plays an important role in the navigation of autonomous mobile robots in off-road scenarios. However, the accuracy of the driving energy predictions is often affected by a high degree of uncertainty due to unknown and ...
Marco Visca +3 more
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Synthetic Experiences for Accelerating DQN Performance in Discrete Non-Deterministic Environments
Algorithms, 2021 State-of-the-art Deep Reinforcement Learning Algorithms such as DQN and DDPG use the concept of a replay buffer called Experience Replay. The default usage contains only the experiences that have been gathered over the runtime. We propose a method called
Wenzel Pilar von Pilchau +2 more
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A Gridded Solar Irradiance Ensemble Prediction System Based on WRF-Solar EPS and the Analog Ensemble
Atmosphere, 2023 The WRF-Solar Ensemble Prediction System (WRF-Solar EPS) and a calibration method, the analog ensemble (AnEn), are used to generate calibrated gridded ensemble forecasts of solar irradiance over the contiguous United States (CONUS).
Stefano Alessandrini +5 more
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Sensors, 2020 In this paper, we propose an environment perception framework for autonomous driving using state representation learning (SRL). Unlike existing Q-learning based methods for efficient environment perception and object detection, our proposed method takes ...
Abhishek Gupta +4 more
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