[HTML][HTML] A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations

MH Nadimi-Shahraki, H Zamani… - … Methods in Engineering, 2023 - Springer
Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …

A systematic review of different categories of plant disease detection using deep learning-based approaches

Y Kumar, R Singh, MR Moudgil, Kamini - Archives of Computational …, 2023 - Springer
Artificial intelligence has a significant impact on all sectors. It is revolutionizing agriculture by
replacing traditional methods with more efficient techniques and helping the world improve …

A comprehensive analysis of artificial intelligence techniques for the prediction and prognosis of genetic disorders using various gene disorders

N Chaplot, D Pandey, Y Kumar, PS Sisodia - Archives of Computational …, 2023 - Springer
A medical analysis of diagnosing rare genetic diseases has rapidly become the most
expensive and time-consuming component for doctors. By combining predictive methods …

A hierarchical multi-leadership sine cosine algorithm to dissolving global optimization and data classification: The COVID-19 case study

M Zhong, J Wen, J Ma, H Cui, Q Zhang… - Computers in Biology and …, 2023 - Elsevier
Abstract The Sine Cosine Algorithm (SCA) is an outstanding optimizer that is appreciably
used to dissolve complicated real-world problems. Nevertheless, this algorithm lacks …

A comprehensive analysis of artificial intelligence techniques for the prediction and prognosis of lifestyle diseases

K Modi, I Singh, Y Kumar - Archives of Computational Methods in …, 2023 - Springer
Artificial intelligence is the fastest growing data-driven technology and is currently used in all
major fields and reduces the work of humans. Artificial intelligence can analyse extensive …

A review of deep learning-based approaches for detection and diagnosis of diverse classes of drugs

A Kumar, N Kumar, J Kuriakose, Y Kumar - Archives of Computational …, 2023 - Springer
Artificial intelligence-based drug discovery has gained attention lately since it drastically cuts
the time and money needed to produce new treatments. In recent years, a vast quantity of …

An analysis of detection and diagnosis of different classes of skin diseases using artificial intelligence-based learning approaches with hyper parameters

J Singh, JK Sandhu, Y Kumar - Archives of Computational Methods in …, 2024 - Springer
In recent years, metaheuristic optimizers have grown in popularity due to their ability to
efficiently optimize complex, high-dimensional problems that are difficult to solve using …

An analysis of deep transfer learning-based approaches for prediction and prognosis of multiple respiratory diseases using pulmonary images

A Koul, RK Bawa, Y Kumar - Archives of Computational Methods in …, 2024 - Springer
Respiratory diseases can lead to lung failure, which happens when the lungs cannot give
the body enough oxygen. These diseases can be diagnosed using medical data, lung …

[HTML][HTML] Novel statistical time series data augmentation and machine learning based classification of unobtrusive respiration data for respiration Digital Twin model

S Khan, A Alzaabi, T Ratnarajah, T Arslan - Computers in Biology and …, 2024 - Elsevier
Digital Twin (DT), a concept of Healthcare (4.0), represents the subject's biological
properties and characteristics in a digital model. DT can help in monitoring respiratory …

[HTML][HTML] A comprehensive analysis of deep learning-based approaches for prediction and prognosis of infectious diseases

K Thakur, M Kaur, Y Kumar - Archives of Computational Methods in …, 2023 - Springer
Artificial intelligence is the most powerful and promising tool for the present analytic
technologies. It can provide real-time insights into disease spread and predict new …