Results 51 to 60 of about 475 (164)
Efficient approach for optimal parameter estimation of PV using Pelican Optimization Algorithm
In order to optimize the performance of a Solar Photovoltaic (PV) system, it is necessary to develop an appropriate PV cell model and accurately determine the unknown parameters associated with the model. The process of extracting parameters for PV models is a complex optimization issue that involves nonlinearity and multiple models.
Asmita Ajay Rathod, Balaji Subramanian
openaire +2 more sources
This review highlights the recent advancements in imidazolium‐based ionic liquids for enhanced oil recovery (EOR), focusing on their ability to reduce interfacial tension, alter wettability, and stabilize emulsions. Their tunable chemistry, thermal stability, and recyclability position them as effective and sustainable alternatives to conventional EOR ...
Noran Mousa +2 more
wiley +1 more source
This paper proposes a coordinated suppression strategy for sub/supersynchronous oscillations considering both single machine dynamic energy and unit interaction dynamic energy. The proposed suppression method combines parameter optimisation and energy compensation branch methods, effectively suppressing the sub/supersynchronous oscillations while ...
Yanfeng Ma +4 more
wiley +1 more source
A significant part of the economies of several nations throughout the world, including India, where agriculture accounts for 16% of the total economy.
A. Punitha, V. Geetha
doaj +1 more source
ABSTRACT The astonishing biological diversity found in Californian kelp forests requires efficient and robust monitoring tools to better understand ecological trends and mitigate against loss or disruption of ecosystem services due to human pressure and climate changes.
Giulia Maiello +5 more
wiley +1 more source
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain +2 more
wiley +1 more source
Abstract The Mineral Identification by Stoichiometry (MIST) algorithm can identify mineral species in geochemical data sets. MIST is applied to X‐ray fluorescence chemical analyses from the Planetary Instrument for X‐ray Lithochemistry (PIXL) on the Mars 2020 Perseverance rover to identify mineral phases in abraded rock targets at Jezero crater.
Eleanor L. Moreland +10 more
wiley +1 more source
Conservation is impossible if we have not described all of the species we aim to conserve. This paper reviews the taxonomy of the kultarr (Antechinomys laniger) a small arid‐zone specialist native to Australia. We describe a new species, A. auritus sp. nov., and resurrect a formerly recognized species, A. spenceri. ABSTRACT Globally, mammal species are
Cameron S. Dodd +5 more
wiley +1 more source
Assessment of a Social Media‐Based Method for Determining Raptor Diet
This study mined social media as a citizen science method to reduce the time burden and biases associated with recording accurate diet information for predators. In total, 1985 prey observations were recorded of two Australian coastal raptors and were used to produce diet profiles that were compared by region, social media platform, and against other ...
Leo Biggs +7 more
wiley +1 more source
Flowchart of the methodology used for this study ABSTRACT Optimization scheduling plays a pivotal role in construction projects, significantly influencing both the overall project schedule and its efficiency. This study focuses on optimizing the scheduling of electric highway engineering projects within roadbed construction.
Dawei Wang, Bo Gao, Lei Zhang
wiley +1 more source

