Results 11 to 20 of about 549,230 (245)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Fast, deterministic computation of the Hermite normal form and determinant of a polynomial matrix [PDF]
, 2016 Given a nonsingular $n \times n$ matrix of univariate polynomials over a field $\mathbb{K}$, we give fast and deterministic algorithms to compute its determinant and its Hermite normal form.
Labahn, George +2 more
core +5 more sources
Predicting unobserved exposures from seasonal epidemic data [PDF]
, 2013 We consider a stochastic Susceptible-Exposed-Infected-Recovered (SEIR) epidemiological model with a contact rate that fluctuates seasonally. Through the use of a nonlinear, stochastic projection, we are able to analytically determine the lower ...
Forgoston, Eric, Schwartz, Ira B.
core +3 more sources
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
doaj +1 more source
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
doaj +1 more source
Verification of operational solar flare forecast: Case of Regional Warning Center Japan [PDF]
, 2017 In this article, we discuss a verification study of an operational solar flare forecast in the Regional Warning Center (RWC) Japan. The RWC Japan has been issuing four-categorical deterministic solar flare forecasts for a long time.
Den, Mitsue, Ishii, Mamoru, Kubo, Yûki
core +2 more sources