Results 31 to 40 of about 3,634,616 (216)
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
IEEE Transactions on Network Science and Engineering, 2022 As a critical enabler of the next generation networks, network slicing can dynamically and flexibly create virtual networks leveraging necessary network resources for services with different quality of service (QoS) requirements.
Hao Yu +3 more
semanticscholar +1 more source
Deterministic Discrepancy Minimization via the Multiplicative Weight Update Method [PDF]
Conference on Integer Programming and Combinatorial Optimization, 2016 A well-known theorem of Spencer shows that any set system with n sets over n elements admits a coloring of discrepancy \(O(\sqrt{n})\). While the original proof was non-constructive, recent progress brought polynomial time algorithms by Bansal, Lovett ...
A. Levy +2 more
semanticscholar +1 more source
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
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
doaj +1 more source
Ensemble streamflow forecasting over a cascade reservoir catchment with integrated hydrometeorological modeling and machine learning [PDF]
Hydrology and Earth System Sciences, 2022 A popular way to forecast streamflow is to use bias-corrected meteorological forecasts to drive a calibrated hydrological model, but these hydrometeorological approaches suffer from deficiencies over small catchments due to uncertainty in meteorological ...
J. Liu +7 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
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
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
doaj +1 more source