no code implementations • 22 Feb 2024 • Ruba Abu Khurma, Esraa Alhenawi, Malik Braik, Fatma A. Hashim, Amit Chhabra, Pedro A. Castillo
These are used in exploration to allow solutions to be found more thoroughly and in relation to a chosen solution than at random.
no code implementations • 22 Jan 2023 • Tarik A. Rashid, Bryar A. Hassan, Abeer Alsadoon, Shko Qader, S. Vimal, Amit Chhabra, Zaher Mundher Yaseen
The primary objective of this research is to summarize current advances in awareness requirements for adaptive strategies based on an examination of state-of-the-art methods described in the literature.
1 code implementation • 6 Jan 2023 • Maryam T. Abdulkhaleq, Tarik A. Rashid, Bryar A. Hassan, Abeer Alsadoon, Nebojsa Bacanin, Amit Chhabra, S. Vimal
However, it is found that FDO has the longest runtime compared to the other algorithms.
1 code implementation • 18 Oct 2022 • Rebin M. Ahmed, Tarik A. Rashid, Polla Fattah, Abeer Alsadoon, Nebojsa Bacanin, Seyedali Mirjalili, S. Vimal, Amit Chhabra
From the experimental results, it is clear that the proposed deep learning model is performing well and is comparable to the similar model of other languages' handwriting recognition systems.
no code implementations • 19 Jul 2022 • Maryam T. Abdulkhaleq, Tarik A. Rashid, Abeer Alsadoon, Bryar A. Hassan, Mokhtar Mohammadi, Jaza M. Abdullah, Amit Chhabra, Sazan L. Ali, Rawshan N. Othman, Hadil A. Hasan, Sara Azad, Naz A. Mahmood, Sivan S. Abdalrahman, Hezha O. Rasul, Nebojsa Bacanin, S. Vimal
The popularity of HS urges us to provide a comprehensive survey of the literature on HS and its variants on health systems, analyze its strengths and weaknesses, and suggest future research directions.
no code implementations • 14 Jul 2022 • Barzan Hussein Tahir, Tarik A. Rashid, Hafiz Tayyab Rauf, Nebojsa Bacanin, Amit Chhabra, S. Vimal, Zaher Mundher Yaseen
Moreover, the authors have enhanced a novel variant of Fitness Dependent Optimizer, which incorporates novel population initialization techniques and dynamically employed sine maps to select the weight factor for Fitness Dependent Optimizer.
no code implementations • 18 May 2022 • Aso M. Aladdin, Jaza M. Abdullah, Kazhan Othman Mohammed Salih, Tarik A. Rashid, Rafid Sagban, Abeer Alsaddon, Nebojsa Bacanin, Amit Chhabra, S. Vimal, Indradip Banerjee
Ultimately, the target of this chapter's enhancement is to adapt the IoT healthcare framework based on FDO to spawn effective IoT healthcare applications for reasoning out real-world optimization, aggregation, prediction, segmentation, and other technological problems.