[PDF][PDF] TinyML-Based Classification in an ECG Monitoring Embedded System

E Kim, J Kim, J Park, H Ko… - Computers, Materials and …, 2023 - cdn.techscience.cn
Recently, the development of the Internet of Things (IoT) has enabled continuous and
personal electrocardiogram (ECG) monitoring. In the ECG monitoring system, classification …

Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine‐Tuning Approach

T Shelatkar, Urvashi, M Shorfuzzaman… - … Methods in Medicine, 2022 - Wiley Online Library
Brain cancer is a rare and deadly disease with a slim chance of survival. One of the most
important tasks for neurologists and radiologists is to detect brain tumors early. Recent …

Novel and secure blockchain framework for health applications in IoT

MR Bataineh, W Mardini, YM Khamayseh… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) has grown increasingly in the past decade. This growth brings up
several challenging issues for a successful continuous operation of IoT applications. Some …

A Deep Learning‐Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks

M Naveed, F Arif, SM Usman, A Anwar… - Wireless …, 2022 - Wiley Online Library
An intrusion detection system, often known as an IDS, is extremely important for preventing
attacks on a network, violating network policies, and gaining unauthorized access to a …

Early detection of forest fire using mixed learning techniques and UAV

VL Kasyap, D Sumathi, K Alluri… - Computational …, 2022 - Wiley Online Library
Over the last few decades, forest fires are increased due to deforestation and global
warming. Many trees and animals in the forest are affected by forest fires. Technology can …

Enhancement performance of random forest algorithm via one hot encoding for IoT IDS

AY Hussein, P Falcarin, AT Sadiq - Periodicals of Engineering and …, 2021 - iris.unive.it
The random forest algorithm is one of important supervised machine learning (ML)
algorithms. In the present paper, the accuracy of the results of the random forest (RF) …

Future Trends for Healthcare Monitoring System in Smart Cities Using LoRaWAN‐Based WBAN

I Bouazzi, M Zaidi, M Usman… - Mobile Information …, 2022 - Wiley Online Library
LoRa technology is extensively utilized in the Internet of Things world. It allows a
transmission of a low volume of data through small wireless devices. The principle of LoRa …

Power forecasting of regional wind farms via variational auto-encoder and deep hybrid transfer learning

M Khan, MR Naeem, EA Al-Ammar, W Ko… - Electronics, 2022 - mdpi.com
Wind power is a sustainable green energy source. Power forecasting via deep learning is
essential due to diverse wind behavior and uncertainty in geological and climatic conditions …

Neighborhood rough residual network–based outlier detection method in IoT-enabled maritime transportation systems

Q Chen, L Xie, L Zeng, S Jiang, W Ding… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Outlier detection can identify anomalies in large-scale data. To provide reliability and
security for Internet of Things (IoT)-enabled maritime transportation systems (MTSs), in this …

Multilevel sensor deployment approach in IIoT-based environmental monitoring system in underground coal mines

G Thirumal, C Kumar - Computer Communications, 2022 - Elsevier
Abstract The Bord and Pillar methods are widely popular in an underground coal mine.
Continuous monitoring of the environment is crucial to ensure the safety of miners. The …