Submission Deadline: 31 May 2021 (closed)
Sustainable computing is a rapidly expanding research area spanning over all fields of engineering. With the exponential growth of digital technologies, impacts of climate change and increasing socio-environmental pressures are the major drivers for the strategic changes to any industry. Development and innovations in data collection and computation process greatly indicate that an industrial organisation which operates in a sustainable manner, ultimately leads to the knowledge to amend the entire decision making system and refine the organizational goals. This special issue aims to collect high quality research papers on smart sustainable and intelligent computing models and their applications in solving real time engineering and management problems to provide a forum for the state of the art developments. It aims to cover advanced and multidisciplinary researches on sustainable smart computing.
The theme of the special issue broadly focuses on innovations in system knowledge, intelligence and sustainability that may be applied to provide realistic solution to varied problems in society, environment and industries. Papers include the list of topics that spans a wide range of topics in smart intelligent systems and computing domains including but not limited to association rule learning, big data analytics, classification tree analysis, computational intelligence and algorithms for sustainability, combinatorial optimization, convolutional neural networks, cloud computing, computational intelligence, fuzzy computing, granular computing, genetic algorithms, data mining and exploration, knowledge-based systems, logistic regression, machine learning, mathematical optimization, multiple-criteria decision-making, operations research and optimization, support vector machines, swarm intelligence, quantum computing to name a few in domains of agriculture, system sciences, logistics, supply chain, manufacturing, healthcare, bioinformatics, power, energy and environmental engineering to name a few.
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