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. ...
Next, interesting statistical properties of the data that have been identified, such as relevant differences between summer and winter concentrations, should be studied further in accordance with domain experts, which can probably lead to a creation of several specialized models, or even ensemble ...
4c). In comparison, our DAE module is the only one that ticks all the above boxes, plus a demonstrated 8 months long term stability to-date, and a hydrogen production rate substantially (from a few times to a few orders of magnitude) higher than literature works in the same domain14,15...
Therefore, the development of university campuses should be considered an important element in the study of the SUHI of adjoining urban areas due to the ability of these large surfaces to alter the urban climate. In this way and for a few years, the study of the variation of the LST and ...
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 ...
[68] used the transient control volume method to study 2D heat transfer mechanism. The computational domain was divided into control units and the thermal balance was applied. A self-recovery temperature analysis was done using continuous and intermittent modes. The data was validated against an ...
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 ...
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 ...