Project Collection "Application of Advanced Computing, Control and Processing in Engineering"
Papers displayed on this page all arise from the same project. Editorial decisions were made independently of project staff and handled by the Editor-in-Chief or qualified Editorial Board members.
Interests: photocatalysis; membrane reactor; energy conversion; nanomaterials; waste valorization; inorganic catalyst; plasmonics
Special Issues and Collections in MDPI journals
Special Issue in Sustainability: Scientific, Socio-Economic and Integrated Approaches to Sustainable Development—Impact on Globalization, Technology and Environmental Management
Special Issue in Journal of Clinical Medicine: Current Advances on Molecular & Clinical Oncology: Diagnosis, Management and Treatment of the Malignant Causative Genes
Special Issue in Catalysts: Photocatalytic Membrane and Reactor for Environmental Remediation Processes
Special Issue in Polymers: Polymer Nanocomposite Membranes for Environmental Applications
Interests: human–computer interface; robot programming; sustainable software engineering; assisted living; data mining and machine learning; smart learning
Interests: logic programing; artificial intelligence, data mining; cluster computing; sensor network
Dear friends and colleagues,
Computational concepts and techniques have always played a major role in control engineering since the first computer-based control systems were put into operation over twenty years ago. Today’s research discoveries at the confluence of theoretical, experimental, and computational science and engineering are enabled by the continuing availability of an ecosystem of advanced computational resources. The dramatic growth in practical applications for machine learning over the last twenty years has been accompanied by many important developments in the underlying algorithms and techniques. This role has, in fact, been accelerating over the intervening years as the sophistication of the computing methods and tools available—as well as the complexity of the control problems they have been used to solve—have also increased. In particular, the introduction of the microprocessor, nono-electronics, nanoprocessors, and their use as a low-cost computing element in a distributed computer control system has had a profound effect on the way in which the design and implementation of a advanced processing and control system is carried out and, to some extent, on the theory which underlies the basic design strategies.
Artificial intelligence and human–computer interactions is another area that is receiving increased attention day by day, due to their advanced ability to solved many previously unsolved problems The development of interactive computing has encouraged a substantial growth in the use of computer-aided design methods and robust and efficient numerical algorithms have been produced to support these methods. Major advances have also taken place in the languages used for control system implementation in terms of machine learning. The algorithms of human language and interaction with the system whose design is based on some very fundamental computer science concepts have been derived and developed over the past decade. With the extremely high rate of change in the field of computer science and electronics, the more recent developments have outpaced their incorporation into new control system design and implementation techniques. With wide adoption of new modalities of scientific and engineering discovery, the demand for computing and interface capabilities and services has increased significantly both in terms of the range of capabilities and overall capacity.
Concurrently, in this Special Issue, we hope to showcase the latest results from researchers, computer engineers, and electronics professionals in their attempts to explore new methods and algorithms while constantly adapting to rapid technological evolution, as well as in pursuing transformational discoveries across all processes and in engineering. In addition, we also encouraging submissions which attempt to solve various problems related to environmental sensing.
Dr. Sudip Chakraborty
Dr. Robertas Damaševičius
Prof. Dr. Sergio Greco
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- machine learning
- artificial neural network
- human–computer interaction
- software engineering
- artificial intelligence
- environmental sensing
- smart learning。
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