Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review

SA Ajagbe, MO Adigun - Multimedia Tools and Applications, 2024 - Springer
Deep learning (DL) is becoming a fast-growing field in the medical domain and it helps in
the timely detection of any infectious disease (IDs) and is essential to the management of …

Boosted barnacles algorithm optimizer: Comprehensive analysis for social IoT applications

MAA Al-Qaness, AA Ewees, M Abd Elaziz… - IEEE …, 2023 - ieeexplore.ieee.org
The Social Internet of Things (SIoT) has revolutionized user experience through various
applications and networking services like Social Health Monitoring, Social Assistance …

[PDF][PDF] Design and development of arduino-based automation home system using the internet of things

SA Ajagbe, OA Adeaga, OO Alabi… - Indonesian Journal of …, 2024 - researchgate.net
The home automation system described in this paper is low-cost, dependable, and versatile.
It uses an Arduino microcontroller and Bluetooth internet protocol (IP) connectivity to allow …

Cybersecurity in the Supply Chain and Logistics Industry: A Concept-Centric Review

SA Ajagbe, JB Awotunde, AT Opadotun… - … in IoT and Security with AI, 2023 - Springer
A literature review assists authors in evaluating and analyzing relevant literature, identifying
conceptual content in the subject, and contributing to theory building in a specific domain. As …

Application of Machine Learning Algorithm in Cloud-to-edge Computing: Analysis and Limitations

EA Adeniyi, SA Ajagbe, OA Oki… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Machine learning (ML) approaches have been shown to be useful in a variety of difficult
issues and domains such as managing resources, cloud services, and edge computing …

Contamination Landscapes: Spatio-Temporal Record and Analysis of Pathogens in Clinical Settings

C Höser, T Kistemann - … Journal of Environmental Research and Public …, 2023 - mdpi.com
Nosocomial outbreaks require quick epidemiological clarification of possible chains of
infection, since the pathogen usually has a head start that has to be caught up. Identification …