Ctoa: toward a chaotic-based tumbleweed optimization algorithm

TY Wu, A Shao, JS Pan - Mathematics, 2023 - mdpi.com
Metaheuristic algorithms are an important area of research in artificial intelligence. The
tumbleweed optimization algorithm (TOA) is the newest metaheuristic optimization algorithm …

Understanding public opinions on social media for financial sentiment analysis using AI-based techniques

C Qian, N Mathur, NH Zakaria, R Arora, V Gupta… - Information Processing …, 2022 - Elsevier
The digital currency has taken the financial markets by storm ever since its inception.
Academia and industry are focussing on Artificial intelligence (AI) tools and techniques to …

Enhancing security of medical images using deep learning, chaotic map, and hash table

P Kumar, M Rahman, S Namasudra… - Mobile Networks and …, 2023 - Springer
The advancement in technology with high computing power leads to many security attacks.
Thus, the demand for innovative security algorithms is also rising. In the healthcare system …

Blockchain-based smart contract model for securing healthcare transactions by using consumer electronics and mobile edge computing

S Datta, S Namasudra - IEEE Transactions on Consumer …, 2024 - ieeexplore.ieee.org
Blockchain technology has been an emerging solution to various problems in the healthcare
sector. Its applications in the healthcare sector range from securing patient data to …

Dynamic learning for imbalanced data in learning chest X-ray and CT images

S Iqbal, AN Qureshi, J Li, IA Choudhry, T Mahmood - Heliyon, 2023 - cell.com
Massive annotated datasets are necessary for networks of deep learning. When a topic is
being researched for the first time, as in the situation of the viral epidemic, handling it with …

A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems

M Rahman, A Murmu, P Kumar, NR Moparthi… - Journal of Information …, 2024 - Elsevier
Human biometric images are utilized for cell phone authentication, airport security, and
biometric passports. To improve the biometric identification process, this should be protected …

[PDF][PDF] High Utility Periodic Frequent Pattern Mining in Multiple Sequences.

CM Chen, Z Zhang, J Ming-Tai Wu… - … in Engineering & …, 2023 - cdn.techscience.cn
Periodic pattern mining has become a popular research subject in recent years; this
approach involves the discovery of frequently recurring patterns in a transaction sequence …

Retracted: Deep learning-based energy inefficiency detection in the smart buildings

J Huang, DD Koroteev, M Rynkovskaya - 2023 - Elsevier
The authors have plagiarized part of a paper that had already appeared in [Energies, 14
(19) 6042; https://doi. org/10.3390/en14196042]. One of the conditions of submission of a …

Modified cuttlefish swarm optimization with machine learning-based sustainable application of solid waste management in IoT

M Al Duhayyim - Sustainability, 2023 - mdpi.com
The internet of things (IoT) paradigm roles an important play in enhancing smart city tracking
applications and managing city procedures in real time. The most important problem …

Analysis of the pertinence of indian women's institutions in collaborative research

S Muhuri, S Kumari, S Namasudra… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Nowadays, the relevance of women-only educational institutes is questionable due to
various reasons that include social uplifting, ample opportunities, and a free mindset among …