A novel approach to power scheduling is introduced, focusing on minimizing both economic and environmental impacts. This method utilizes deep contextual reinforcement learning (RL) within an agent-based simulation environment. Each generating unit treated as independent, heterogeneous agent, the dynamics are formulated Markov decision processes (MDPs). The MDPs then used train a RL model determ...

The paper addresses the issue of TCP-friendly congestion control mechanism for many-to-many communication environment. Lack of congestion control inhibits deployment of WAN applications that involve collaboration of groups of processes in the Internet environment. Recent efforts targeted unicast WAN congestion control (TFRC). We extend that approach to multicast many-tomany applications that op...

Ultrasound-aided liquid phase exfoliation (ULPE) of graphene in pure water is environment-friendly. Two limiting factors ULPE are the non-uniform thickness few-layer (FLG) and a relatively low yield. Here we describe that enables us to produce FLG flakes with 3 layers flake sizes exceeding 1 ?m 2 just h. This process based on using combination two ultrasound sources high frequencies: 1174 kHz 2...

The uncontrolled use of chemicals, urban wastes, nuclear resources, mining, petrochemicals and disposal sewage sludge only a few anthropogenic activities that have contributed to the rapid industrialization severe heavy metal contamination soils waterways. Both inorganic organic pollutants, such as metals, pesticides, petroleum hydrocarbons, polycyclic aromatic can impact composition functional...