Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review

A Bathula, SK Gupta, S Merugu, L Saba… - Artificial Intelligence …, 2024 - Springer
The fusion of blockchain and artificial intelligence (AI) marks a paradigm shift in healthcare,
addressing critical challenges in securing electronic health records (EHRs), ensuring data …

Intrusion detection system for IoT based on deep learning and modified reptile search algorithm

A Dahou, M Abd Elaziz, SA Chelloug… - Computational …, 2022 - Wiley Online Library
This study proposes a novel framework to improve intrusion detection system (IDS)
performance based on the data collected from the Internet of things (IoT) environments. The …

Medical Image Classification Utilizing Ensemble Learning and Levy Flight‐Based Honey Badger Algorithm on 6G‐Enabled Internet of Things

M Abd Elaziz, A Mabrouk, A Dahou… - Computational …, 2022 - Wiley Online Library
Recently, the 6G‐enabled Internet of Medical Things (IoMT) has played a key role in the
development of functional health systems due to the massive data generated daily from the …

[HTML][HTML] Mayfly optimization algorithm: a review

MN Bogar, ID Shirodkar, O Kulkarni… - Journal of Mechatronics …, 2024 - extrica.com
This paper gives a review on the bio-inspired optimization methodology known as mayfly
(MA) algorithm in order to resolve issues in optimization techniques. It is a newly formed …

[HTML][HTML] RETRACTED: SIR model for the spread of COVID-19: A case study

A Salimipour, T Mehraban, HS Ghafour, NI Arshad… - 2023 - Elsevier
The Editor of Operations Research Perspectives has retracted the publication based on
evidence that the authors have plagiarized parts from another paper. The original …

Prediction of pork supply based on improved mayfly optimization algorithm and BP neural network

JQ Wang, HY Zhang, HH Song, PL Zhang, JL Bei - Sustainability, 2022 - mdpi.com
Focusing on the issues of slow convergence speed and the ease of falling into a local
optimum when optimizing the weights and thresholds of a back-propagation artificial neural …

Effective detection of COVID-19 outbreak in chest X-Rays using fusionnet model

GK Yenurkar, S Mal - The Imaging Science Journal, 2022 - Taylor & Francis
The worldwide pandemic of coronavirus disease 2019 (COVID-19) triggers acute respiratory
difficulties and breathing disorders in humans. The reverse transcription-polymerasssse …

Covid-19 classification using deep learning two-stage approach

M Alsaidi, AS Altaher, MT Jan, A Altaher… - arXiv preprint arXiv …, 2022 - arxiv.org
In this paper, deep-learning-based approaches namely fine-tuning of pretrained
convolutional neural networks (VGG16 and VGG19), and end-to-end training of a developed …

Automated melanoma skin disease detection using the spike herd search algorithm

KK Gola, G Khan, R Kanauzia, R Rathore… - IETE Journal of …, 2024 - Taylor & Francis
Melanoma is rare and can shorten a patient's life. It can be cured if found early. Early cost,
pain and timing prediction affect patients. Thus, many researchers use Artificial Intelligence …

Automated Histogram Binning-Based Fuzzy K-Means Clustering for COVID-19 Chest CT Image Segmentation

S Nivetha, H Hannah Inbarani - … and Control: Proceedings of ICISC 2023, 2023 - Springer
The greatest threat to humanity is COVID-19, which has a global impact on billions of
people. For important judgment and disease control, therapeutic imaging, such as …