[HTML][HTML] The Hiking Optimization Algorithm: A novel human-based metaheuristic approach

SO Oladejo, SO Ekwe, S Mirjalili - Knowledge-Based Systems, 2024 - Elsevier
In this paper, a novel metaheuristic called 'The Hiking Optimization Algorithm'(HOA) is
proposed. HOA is inspired by hiking, a popular recreational activity, in recognition of the …

[HTML][HTML] COVID-based controller: Enhancing automotive safety with a neuroadaptive beta-function optimization for anti-lock braking systems

M Shirzadeh, A Amirkhani - Engineering Science and Technology, an …, 2024 - Elsevier
Controlling wheel slip during braking in vehicle tires is a challenging task due to the
complex behavior and highly nonlinear dynamics involved. Uncertainties arising from …

[HTML][HTML] Medical Data Analysis Meets Artificial Intelligence (AI) and Internet of Medical Things (IoMT)

M Diwakar, P Singh, V Ravi - Bioengineering, 2023 - mdpi.com
AI is a contemporary methodology rooted in the field of computer science. It involves the
creation of programs and algorithms that fill devices with the ability to exhibit intelligence …

Efficient Compression of Fetal Phonocardiography Bio-Medical Signals for Internet of Healthcare Things

G Hassan, KM Hosny, MM Fouda, IS Fathi - IEEE Access, 2023 - ieeexplore.ieee.org
The development of Internet of Healthcare Things (IoHT) technology leads to high upgrades
in monitor signal systems concerning healthcare. Battery life-saving is one of the biggest …

Nested compressive sensing for ECG signals using novel hybrid two-level approach of DWT and DCT sensing and sparsification

SS Kumar, P Ramachandran - Discover Applied Sciences, 2024 - Springer
This paper demonstrates the merits of nested Compressive Sensing (CS) approach for
Electrocardiogram (ECG) signals using discrete wavelet transform (DWT) and discrete …

Discover Applied Sciences

SS Kumar, P Ramachandran - Discover, 2025 - search.proquest.com
This paper demonstrates the merits of nested Compressive Sensing (CS) approach for
Electrocardiogram (ECG) signals using discrete wavelet transform (DWT) and discrete …

Multimodal Representation of Depression and Anxiety Severity Prediction Using Adaptive Capsule Network with Electric Eel Foraging Optimization.

J Venkatesh, KS Kumari, V Rekha… - Library of Progress …, 2024 - search.ebscohost.com
The assessment of a person's mental state using data-driven models to gauge the severity of
their symptoms is known as depression and anxiety severity prediction. This process aids in …