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Journal of Computational Methods in Sciences and Engineering
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<div class="ContentPasted0">CALL FOR PAPERS</div>
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<div class="ContentPasted0">Managing Complex Computational Challenges</div>
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<div class="ContentPasted0">A huge body of methods for making large-scale simulations and analyses are produced, which are more computationally efficient, enabling a wide range of research to be less time- and memory-intensive. The proposed methods and systems
can synthesize domains that integrate many concepts from deep learning, machine learning, AI and other computational techniques. Keeping the scientific value while designing computational approaches that leverage increased computational power is essential.
Developing one system identifies a few significant features or facets. However, generating a large model uses innumerable parameters and infinite indicators to bring broad models that analyse multidimensional patterns and function as generic with permissible
customisation. The future computational system can build newer interfaces with computers on one side, people, technologies, and domains on the other, and produce modalities. Robust techniques with insights create solution spaces with fewer computational complexities.</div>
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<div class="ContentPasted0">Advanced big data analytics offer solutions to research questions in many different disciplines. Computational techniques coupled with intelligence are more successful for complex processes in many domains, and the refining activities
lead to domain precision. In recent years efficient machine learning models have been recorded that solve many complex issues in other fields.</div>
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<div class="ContentPasted0">Many approaches in research currently warrant intensive computational methods and have become more inevitable to solve research questions. Research can generate unique and highly objective scalable solutions to the complexity and
understanding of how the different propositions can help product possible systems to solve the tasks with domain knowledge.</div>
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<div class="ContentPasted0">Complexity reduction leads to robustness, structured results, higher accuracy, and resolved issues and is mainly achieved by applying computational methods. The proposed special issue will address many agendas codified in the above
description and, more specifically, but not limited to the below themes.</div>
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<div class="ContentPasted0">Neural models</div>
<div class="ContentPasted0">Spatio-temporal data modelling</div>
<div class="ContentPasted0">DL approaches to analyse patterns</div>
<div class="ContentPasted0">Convolutional Long Short-Term Memory network</div>
<div class="ContentPasted0">Data Transfer Framework</div>
<div class="ContentPasted0">Data security</div>
<div class="ContentPasted0">Data correlational dependencies</div>
<div class="ContentPasted0">Knowledge-driven machine learning</div>
<div class="ContentPasted0">Information and Systems Intelligence</div>
<div class="ContentPasted0">Computational Modelling</div>
<div class="ContentPasted0">Intelligent agent-supported processing</div>
<div class="ContentPasted0">Intelligent control systems</div>
<div class="ContentPasted0">Domain-specific smart models and architectures</div>
<div class="ContentPasted0">Complex data and sparse modelling</div>
<div class="ContentPasted0">Semantics-induced segmentation and clustering</div>
<div class="ContentPasted0">Edge Intelligence</div>
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<div class="ContentPasted0">The important dates</div>
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<div class="ContentPasted0">Submission of Papers: May 31, 2023</div>
<div class="ContentPasted0">Acceptance/Rejection Notification: June 30, 2023</div>
<div class="ContentPasted0">Revised version: August 15, 2023</div>
<div class="ContentPasted0">Issue Publication: (will be notified later)</div>
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<div class="ContentPasted0">Special Issue Editors</div>
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<div class="ContentPasted0">Pit Pichappan, PhD,</div>
<div class="ContentPasted0">Senior Scientist</div>
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<div class="ContentPasted0">Ezendu Ariwa, PhD,</div>
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<div class="ContentPasted0">Fouzi Harrag, PhD</div>
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<div class="ContentPasted0">For further queries, please contact- pichappan@dirf.org</div>
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<div class="ContentPasted0">For Author guidelines, please visit before submission- https://www.iospress.com/catalog/journals/journal-of-computational-methods-in-sciences-and-engineering</div>
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<div class="ContentPasted0">Submission of papers https://www.socio.org.uk/SIMCCC/openconf/openconf.php</div>
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