[HTML][HTML] Amalgamation of Blockchain with resource-constrained IoT devices for Healthcare applications–State of Art, Challenges and Future Directions

P Hegde, PKR Maddikunta - … Journal of Cognitive Computing in Engineering, 2023 - Elsevier
Healthcare is an emerging sector with the integration of emerging technologies aiming to
improve Quality of Life of an individual through various medical services. Most of the …

Optimizing energy consumption in WSN-based IoT using unequal clustering and sleep scheduling methods

AMK Abdulzahra, AKM Al-Qurabat, SA Abdulzahra - Internet of Things, 2023 - Elsevier
Abstract Wireless Sensor Networks (WSNs) are the main data collection tools used by
Internet of Things (IoT) devices. The WSN-based IoT is a collection of several small …

[HTML][HTML] Clock synchronization in industrial Internet of Things and potential works in precision time protocol: Review, challenges and future directions

K Balakrishnan, R Dhanalakshmi, BB Sinha… - International Journal of …, 2023 - Elsevier
Abstract The Internet of Things (IoT) aims to revolutionize users' daily lives by enabling
seamless data exchange among various ubiquitous devices over the Internet. However …

Enhancing the distributed acoustic sensors'(das) performance by the simple noise reduction algorithms sequential application

AT Turov, YA Konstantinov, FL Barkov, DA Korobko… - Algorithms, 2023 - mdpi.com
Moving differential and dynamic window moving averaging are simple and well-known
signal processing algorithms. However, the most common methods of obtaining sufficient …

Activation function dynamic averaging as a technique for nonlinear 2D data denoising in distributed acoustic sensors

AT Turov, FL Barkov, YA Konstantinov, DA Korobko… - Algorithms, 2023 - mdpi.com
This work studies the application of low-cost noise reduction algorithms for the data
processing of distributed acoustic sensors (DAS). It presents an improvement of the …

Performance analysis of collaborative real-time video quality of service prediction with machine learning algorithms

L Babooram, TP Fowdur - International Journal of Data Science and …, 2024 - Springer
With the exponential rise in the development, deployment and use of Internet applications in
recent years, communication paradigms are continuously flooded with unmatched …

[HTML][HTML] Strategies for classifying water quality in the Cauvery River using a federated learning technique

J Vellingiri, K Kalaivanan, MP Gopinath… - International Journal of …, 2023 - Elsevier
Artificial intelligence methods are emerging techniques used in the field of environmental
protection, especially in the analysis of air, water, and soil quality. AI analyzes vast amounts …

Urban Sensing of Virtual Internet of Things for Metaverse

J Wang, Y Hao, L Hu, G Fortino… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Urban sensing encourages the incredibly quick advancement of digitalization, intelligence,
and ubiquitous perception, accelerating the construction of the metaverse. Various sensors …

[HTML][HTML] CIBORG: CIrcuit-Based and ORiented Graph theory permutation routing protocol for single-hop IoT networks

AB Bomgni, GBJ Mdemaya, MLF Sindjoung… - Journal of Network and …, 2024 - Elsevier
Abstract The Internet of Things (IoT) has emerged as a promising paradigm which facilitates
the seamless integration of physical devices and digital systems, thereby transforming …

RETRACTED ARTICLE: Database task processing optimization based on performance evaluation and machine learning algorithm

A Deng - Soft Computing, 2023 - Springer
One of the key components of artificial intelligence algorithms is machine learning, involving
a variety of fields, and has been applied in many artificial intelligence systems, including …