Equipped with domain randomization, Air Learning exposes a UAV agent to a diverse set of challenging scenarios. We seed the toolset with point-to-point obstacle avoidance tasks in three different environments and Deep Q Networks (DQN) and Proximal Policy Optimization (PPO) trainers. Air Learning ...
Domain-Driven Design (DDD) Hexagonal (Ports and Adapters) Architecture Secure by Design Clean Architecture Onion Architecture SOLID Principles Software Design Patterns And many others (more links below in every chapter). Before we begin, here are the PROS and CONS of using a complete architecture ...
In their study, Silva et al. 64. utilized species-reaction graphs to uncover similarities among different chemical reaction systems, unveiling novel characteristics that transcend existing domain knowledge and thereby advance our understanding of atmospheric chemical mechanisms within intricate geosystems. ...
12 We integrated the baseline WRF-Chem simulation, which represents an underlying spatial field for each point in the specified domain, with observed in-situ data, which provide up-to-date and direct information on PM2·5 concentrations (for details see the appendix pp 2–3). This approach ...
This was calculated on a daily basis for each city and pollutant in the study. The average of these derived changes in daily values is computed to represent the percentage change in the pollutant’s concentration for the city over the 27-day period. 2.3. Selection of cities The cities that...
The decreasing trends in compound event days are consistent across different subcontinental domain, although their contributions of compound event days vary (Fig. 5). Eastern Europe was found to be dominated by PM2.5-PM10 days, while PM2.5-NO2 days were more frequent in Western Europe. Southern...
The study demonstrates a potential use of an entrainment formula in simulations of air bubble population in a surfzone-scale domain. It also reveals some difficulties in use of the two-fluid model for predicting large air pockets induced by wave breaking, and suggests that it may be necessary ...
The finite-element time-domain (FETD) solution of the vector wave equation (VWE) is directly extended to doubly dispersive media using the bilinear transfo... Akbarzadeh-Sharbaf, A,Giannacopoulos, D.D - 《IEEE Transactions on Antennas & Propagation》 被引量: 7发表: 2014年 Modelling impacts...
A deep learning model incorporating frequency domain information for ultra multi-step air pollutant forecasting: A case study of ShanghaiAir pollutionUltra multi-step forecastingTime-frequency analysisInterpretabilityMulti-step forecasting of air pollutants extends the horizon for individuals and authorities ...
Moreover, data sources providing spatial and temporal correlations with air quality could create new opportunities in the domain. Taking this into consideration, we utilized sensor data in conjunction with weather station data to develop an enhanced model capable of accurately predicting the air ...