[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 …

[HTML][HTML] 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 …

[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 …

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] Neural Network Applications in Electrical Drives—Trends in Control, Estimation, Diagnostics, and Construction

M Kaminski, T Tarczewski - Energies, 2023 - mdpi.com
Currently, applications of the algorithms based on artificial intelligence (AI) principles can be
observed in various fields. This can be also noticed in the wide area of electrical drives …

[HTML][HTML] 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 …

[HTML][HTML] A novel coal-rock cutting state identification model based on the Internet of Things

D Song, C Venugopal - International Journal of Cognitive Computing in …, 2023 - Elsevier
The sudden change in the interface between coal-rock mass can lead to the increased
abrasion of picks and the failure rate of mining machinery. The safe and efficient coal-rock …

IoT Sensor Data Retrieval and Analysis in Cloud Environments for Enhanced Power Management

V Arulkumar, F Kavin, B Nagu - Journal of Advanced …, 2024 - semarakilmu.com.my
Abstract The Internet of Things (IoT) brings new products to everyone to improve daily life.
Concurrently other emerging technologies, including Big Data, Cloud Services, and …