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Engineering Proceedings, Volume 58, Issue 1

ECSA 2023 2023 - 134 articles

The 10th International Electronic Conference on Sensors and Applications

Online | 15–30 November 2023

Volume Editors:

Stefano Mariani, Politecnico di Milano, Italy
Francisco Falcone, Public University of Navarre, Spain
Stefan Bosse, University of Bremen, Germany
Jean-Marc Laheurte, Université Gustave Eiffel, France

Cover Story: This volume compiles the communications presented at the 10th International Electronic Conference on Sensors and Applications held online from November 15 to 30 together with the contributions of three keynote speakers. It covers the topics such as chemo- and biosensors; physical sensors; sensor networks, IoT and structural health monitoring; sensor data analytics; sensors; and artificial intelligence. The mass participation confirms the importance and longevity of this conference. This serves as a link between the researchers from multiple countries.
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Articles (134)

  • Editorial
  • Open Access
1,021 Views
1 Page

Statement of Peer Review

  • Stefano Mariani,
  • Francisco Falcone,
  • Stefan Bosse and
  • Jean-Marc Laheurte

15 April 2024

In submitting conference proceedings to Engineering Proceedings, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors [...]

  • Editorial
  • Open Access
3,338 Views
2 Pages

Preface: Proceedings of the 10th International Electronic Conference on Sensors and Applications

  • Stefano Mariani,
  • Francisco Falcone,
  • Stefan Bosse and
  • Jean-Marc Laheurte

15 April 2024

This Issue of Engineering Proceedings assembles the papers presented at the 10th International Electronic Conference on Sensors and Applications (ECSA-10), held online on 15–30 November 2023 through the sciforum [...]

  • Proceeding Paper
  • Open Access
802 Views
8 Pages

16 November 2023

Fault occurrence in practical systems, if not addressed, can cause diminished performance or even system breakdown. Therefore, fault detection has emerged as a crucial challenge in ensuring system safety and reliability. This paper presents a novel f...

  • Proceeding Paper
  • Open Access
1 Citations
863 Views
7 Pages

15 November 2023

Malaria continues to be a major cause of death worldwide, with a broad range of people spread over 90 countries being at risk of contracting the disease, and a significant cause of death in children under the age of 5. Due to this, there continues to...

  • Proceeding Paper
  • Open Access
1 Citations
852 Views
5 Pages

15 November 2023

Cancers are prevalent worldwide, affecting a substantial amount of the global population, while early and proactive diagnosis of the disease continues to be a global medical challenge. Endometrial cancer represents a gynecological variant which is no...

  • Proceeding Paper
  • Open Access
2 Citations
7,251 Views
8 Pages

Internet of Things-Based Smart Helmet with Accident Identification and Logistics Monitoring for Delivery Riders

  • Alyssa Dainelle T. Alcantara,
  • Ramon Balancer H. Balbuena,
  • Venlester B. Catapang,
  • John Patrick M. Catchillar,
  • Rick Edmond P. De Leon,
  • Steven Niño A. Sanone,
  • Charles G. Juarizo,
  • Carlos C. Sison and
  • Eufemia A. Garcia

15 November 2023

The study developed a smart helmet prototype that prioritizes delivery rider safety and facilitates logistical communication for small businesses. This was achieved with a smart helmet, utilizing IoT equipped with crash detection and logistics monito...

  • Proceeding Paper
  • Open Access
7 Citations
955 Views
6 Pages

Photoresponsivity Enhancement of SnS-Based Devices Using Machine Learning and SCAPS Simulations

  • Abdelhak Maoucha,
  • Faycal Djeffal,
  • Tarek Berghout and
  • Hichem Ferhati

15 November 2023

In this work, we propose a novel alternative design technique based on combined SCAPS numerical simulations and Machine Learning (ML) computation to improve the photocurrent performances for efficient eco-friendly optoelectronic applications. In this...

  • Proceeding Paper
  • Open Access
2 Citations
1,048 Views
6 Pages

Machine Learning DFT-Based Approach to Predict the Electrical Properties of Tin Oxide Materials

  • Hichem Ferhati,
  • Tarek Berghout,
  • Abderraouf Benyahia and
  • Faycal Djeffal

15 November 2023

The effects of oxygen concentration and growth technique during the deposition process on the electrical properties of tin oxide alloy (SnOx) should be investigated for developing new eco-friendly photosensors and photovoltaic devices. The present wo...

  • Proceeding Paper
  • Open Access
996 Views
6 Pages

Computational Feasibility Study for Time-Frequency Analysis of Non-Stationary Vibration Signals Based on Wigner-Ville Distribution

  • Luis Otávio de Angeles Dias,
  • Pedro Oliveira Conceição Junior and
  • Paulo Monteiro de Carvalho Monson

15 November 2023

The time-frequency analysis has garnered attention for research due to its applications in studying non-stationary signals, revealing information often obscured by conventional time or frequency domain analysis. This study aims to reduce the computat...

  • Proceeding Paper
  • Open Access
821 Views
5 Pages

Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies

  • Ejay Nsugbe,
  • Oluwarotimi Williams Samuel,
  • Jose Javier Reyes-Lagos,
  • Dawn Adams and
  • Olusayo Obajemu

15 November 2023

The effective prediction of preterm labor continues to be a topic of interest for research within pregnancy medicine, where uterine muscle contraction signals have shown to be insightful to predict a potential preterm birth. Magnetomyography (MMG) is...

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Eng. Proc. - ISSN 2673-4591Creative Common CC BY license