Research output per year
Research output per year
Search results
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2024
Efficient resource management in Green computing based on ISHOA task scheduling with secure ChaCha20-Poly1305 authenticated encryption-based data transmission
Kumar, B. S., Kumar, K. A. J., Kavin, B. P. & Seng, G. H., 27 Feb 2024, Computational Intelligence for Green Cloud Computing and Digital Waste Management. IGI Global, p. 267-286 20 p.Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review
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Sustainable waste management OOA-Enhanced MobileNetV2-TC model for trash image classification
Manjunatha, B., Kumar, K. D., Goundar, S., Kavin, B. P. & Seng, G. H., 27 Feb 2024, Computational Intelligence for Green Cloud Computing and Digital Waste Management. IGI Global, p. 227-247 21 p.Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review
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2022
Social Media-Based Intelligence for Disaster Response and Management in Smart Cities
Khatoon, S., Asif, A., Hasan, M. M. & Alshamari, M., 2022, Springer Optimization and Its Applications. Springer, p. 211-235 25 p. (Springer Optimization and Its Applications; vol. 186).Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review
13 Citations (Scopus) -
2021
Cluster Expansion Analysis for Dynamic Networks
Wang, J., Mar 2021, New Ideas Concerning Science and Technology, Book Publisher International. Vol. 9.Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review
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2020
Investigation on Thermodynamic Entropy in Quantum Statistics for Stock Market Networks
Wang, J., 2020, New Ideas Concerning Science and Technology.Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review
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Prime Archives in Complex Systems
Wang, J., 2020, Vide Leaf.Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review
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2016
A Novel Fast Optimisation Algorithm Using Differential Evolution Algorithm Optimisation and Meta-Modelling Approach
Liu, Y., Kwan, A., Rezgui, Y. & Li, H., 2016, Yang XS. (eds) Nature-Inspired Computation in Engineering. Studies in Computational Intelligence. Springer, Vol. 637. p. 177-193Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review