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9 Results Found

  • Article
  • Open Access
7 Citations
3,617 Views
15 Pages

Analysis of Using Machine Learning Techniques for Estimating Solar Panel Performance in Edge Sensor Devices

  • Dalibor Dobrilovic,
  • Jasmina Pekez,
  • Visnja Ognjenovic and
  • Eleonora Desnica

4 February 2024

The importance of the usage of renewable energy sources in powering wireless sensor nodes in IoT and sensor networks grows together with the increasing number of utilized sensor nodes. Considering the other types of renewable energy sources, solar po...

  • Article
  • Open Access
855 Views
21 Pages

Automated Road Data Collection Systems Using UAVs: Comparative Evaluation of Architectures Based on Arduino Portenta H7 and ESP32-CAM

  • Jorge García-González,
  • Carlos Quiterio Gómez Muñoz,
  • Diego Gachet Páez and
  • Javier Sánchez-Soriano

24 October 2025

This article presents the design, implementation, and comparative evaluation of two Unmanned Aerial Vehicles (UAV)-based architectures for automated road data acquisition and processing. The first system uses Arduino Portenta H7 boards to perform rea...

  • Article
  • Open Access
13 Citations
6,760 Views
24 Pages

Reliable ECG Anomaly Detection on Edge Devices for Internet of Medical Things Applications

  • Moez Hizem,
  • Leila Bousbia,
  • Yassmine Ben Dhiab,
  • Mohamed Ould-Elhassen Aoueileyine and
  • Ridha Bouallegue

15 April 2025

The advent of Tiny Machine Learning (TinyML) has unlocked the potential to deploy machine learning models on resource-constrained edge devices, revolutionizing real-time monitoring in Internet of Medical Things (IoMT) applications. This study introdu...

  • Article
  • Open Access
4 Citations
3,269 Views
20 Pages

The Limits of SEMA on Distinguishing Similar Activation Functions of Embedded Deep Neural Networks

  • Go Takatoi,
  • Takeshi Sugawara,
  • Kazuo Sakiyama,
  • Yuko Hara-Azumi and
  • Yang Li

20 April 2022

Artificial intelligence (AI) is progressing rapidly, and in this trend, edge AI has been researched intensively. However, much less work has been performed around the security of edge AI. Machine learning models are a mass of intellectual property, a...

  • Article
  • Open Access
25 Citations
5,040 Views
22 Pages

16 September 2021

Edge computing is a fast-growing and much needed technology in healthcare. The problem of implementing artificial intelligence on edge devices is the complexity and high resource intensity of the most known neural network data analysis methods and al...

  • Review
  • Open Access
52 Citations
21,404 Views
34 Pages

A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions

  • Oumayma Jouini,
  • Kaouthar Sethom,
  • Abdallah Namoun,
  • Nasser Aljohani,
  • Meshari Huwaytim Alanazi and
  • Mohammad N. Alanazi

Internet of Things (IoT) devices often operate with limited resources while interacting with users and their environment, generating a wealth of data. Machine learning models interpret such sensor data, enabling accurate predictions and informed deci...

  • Article
  • Open Access
1 Citations
2,752 Views
13 Pages

Machine Learning-Based Shelf Life Estimator for Dates Using a Multichannel Gas Sensor: Enhancing Food Security

  • Asrar U. Haque,
  • Mohammad Akeef Al Haque,
  • Abdulrahman Alabduladheem,
  • Abubakr Al Mulla,
  • Nasser Almulhim and
  • Ramasamy Srinivasagan

29 June 2025

It is a well-known fact that proper nutrition is essential for human beings to live healthy lives. For thousands of years, it has been considered that dates are one of the best nutrient providers. To have better-quality dates and to enhance the shelf...

  • Article
  • Open Access
3 Citations
3,649 Views
12 Pages

10 January 2025

Edge processing is a trend in developing new technologies that leverage Artificial Intelligence (AI) without transmitting large volumes of data to centralized processing services. This technique is particularly relevant for security applications wher...

  • Article
  • Open Access
20 Citations
5,921 Views
18 Pages

27 August 2019

Inspired by the mobile phone market boost, several low cost credit card-sized computers have made the scene, able to support educational applications with artificial intelligence features, intended for students of various levels. This paper describes...