Kasturi Muthoosamy,1 Renu Geetha Bai,1 Ibrahim Babangida Abubakar,2 Surya Mudavasseril Sudheer,1 Hong Ngee Lim,3 Hwei-San Loh,2,4 Nay Ming Huang,5 Chin Hua Chia,6 Sivakumar Manickam1 1Manufacturing and Industrial Processes Research Division, Faculty of Engineering, 2School of Biosciences, Faculty of Science, University of Nottingham Malaysia Campus
A Nano-Biased Energy Management Using Reinforced Learning Multi-Agent on Layered Coalition Model: Consumer Sovereignty
Trends in energy management schema have advanced into legislating consumer-centered solutions due to inclination interests for personal owned distributed energy resources at the low-voltage level.Thence, this paper proposes a tailorable energy manager tool that empowers Prosumer(s) in a nanostructured distribution network to take sole precedence wh
Hemolymph Parameters Are a Useful Tool for Assessing Bivalve Health and Water Quality
Bivalves play a key role in aquatic ecosystems and circuiteer ii blower are a valuable commercial resource.The prosperity of these aquatic organisms depends mainly on the effectiveness of their immune defense, in which the hemolymph plays a central role.Hemolymph may be used as an effective non-lethal criterion of health.However, the predictive val
Entanglement Structure: Entanglement Partitioning in Multipartite Systems and Its Experimental Detection Using Optimizable Witnesses
Creating large-scale entanglement lies at the heart of many quantum information processing protocols and the investigation of fundamental physics.For multipartite quantum systems, it is crucial to identify not only the presence of entanglement but also its detailed structure.This is because in a generic experimental situation with sufficiently many