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Advances in Physical, Chemical, and Biosensors

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 15 July 2025 | Viewed by 4534

Special Issue Editor

Prof. Dr. Sergey Y. Yurish

E-Mail Website
Guest Editor
International Frequency Sensor Association (IFSA), 08860 Castelldefels, Spain
Interests: smart sensors; optical sensors; frequency measurements
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The global sensor market size was evaluated at USD 204.8 billion in 2022 and is expected to hit around USD 508.64 billion by 2032, growing at a CAGR of 8.40 % from 2023 to 2032. 

It is expanding due to several factors, such as the increasing demand for surveillance cameras, consumer electronics, indoor navigation applications, high-accuracy motion sensors in video games, and the rising adoption of green energy technologies.

The market is also augmenting due to an increasing focus on the research and development of new products.

The 10th Annual International Conference on Sensors and Electronic Instrumentation Advances (SEIA' 2024), https://seia-conference.com, is a forum for presentation, discussion, and exchange of information and latest research and development results in both theoretical and experimental research in sensors, transducers and their related fields, including artificial intelligence-based sensors and sensor systems. It brings together researchers, developers, and practitioners from diverse fields including international scientists and engineers from academia, research institutes, and companies to present and discuss the latest results in the field of sensors and measurements. 

The SEIA conference will focus on any significant breakthrough and innovation in sensors, electronics, measuring instrumentation and transducers engineering advances and their applications in the broadest sense. The main aim of the SEIA conference is to find solutions, which withstand the mentioned restraining factors.

Dr. Sergey Y. Yurish
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • accelerometers

  • inclinometers
  • gyroscopes
  • mechanical sensors
  • optical sensors
  • optical fiber sensors
  • photonic sensors
  • chemical sensors
  • biosensors
  • immunosensors
  • BioMEMS
  • temperature sensors
  • pressure sensors
  • acoustic sensors
  • electromagnetic sensors
  • gas sensors
  • humidity sensors
  • infrared sensors, devices and thermography
  • radiation sensors
  • multi sensor fusion
  • smart sensors
  • intelligent sensors
  • artificial intelligence based sensors and sensor systems
  • virtual sensors
  • sensor interfacing and signal conditioning
  • sensor calibration
  • nanomaterials and electronics technology for sensors
  • semiconductor materials for sensors
  • polymer materials for sensors
  • MEMS and NEMS
  • quantum sensors
  • remote sensors and telemetry
  • sensor applications

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

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11 pages, 3024 KiB  
Article
Hydrogenated Amorphous Silicon Charge-Selective Contact Devices on a Polyimide Flexible Substrate for Dosimetry and Beam Flux Measurements
by Mauro Menichelli, Saba Aziz, Aishah Bashiri, Marco Bizzarri, Clarissa Buti, Lucio Calcagnile, Daniela Calvo, Mirco Caprai, Domenico Caputo, Anna Paola Caricato, Roberto Catalano, Massimo Cazzanelli, Roberto Cirio, Giuseppe Antonio Pablo Cirrone, Federico Cittadini, Tommaso Croci, Giacomo Cuttone, Giampiero de Cesare, Paolo De Remigis, Sylvain Dunand, Michele Fabi, Luca Frontini, Catia Grimani, Mariacristina Guarrera, Hamza Hasnaoui, Maria Ionica, Keida Kanxheri, Matthew Large, Francesca Lenta, Valentino Liberali, Nicola Lovecchio, Maurizio Martino, Giuseppe Maruccio, Giovanni Mazza, Anna Grazia Monteduro, Arianna Morozzi, Augusto Nascetti, Stefania Pallotta, Andrea Papi, Daniele Passeri, Maddalena Pedio, Marco Petasecca, Giada Petringa, Francesca Peverini, Pisana Placidi, Matteo Polo, Alberto Quaranta, Gianluca Quarta, Silvia Rizzato, Federico Sabbatini, Leonello Servoli, Alberto Stabile, Cinzia Talamonti, Jonathan Emanuel Thomet, Luca Tosti, Monica Setia Vasquez Mora, Mattia Villani, Richard James Wheadon, Nicolas Wyrsch and Nicola Zemaadd Show full author list remove Hide full author list
Sensors 2025, 25(4), 1263; https://doi.org/10.3390/s25041263 - 19 Feb 2025
Viewed by 486
Abstract
Hydrogenated amorphous silicon (a-Si:H) devices on flexible substrates are currently being studied for application in dosimetry and beam flux measurements. The necessity of in vivo dosimetry requires thin devices with maximal transparency and flexibility. For this reason, a thin (<10 µm) a-Si:H device [...] Read more.
Hydrogenated amorphous silicon (a-Si:H) devices on flexible substrates are currently being studied for application in dosimetry and beam flux measurements. The necessity of in vivo dosimetry requires thin devices with maximal transparency and flexibility. For this reason, a thin (<10 µm) a-Si:H device deposited on a thin polyimide sheet is a very valid option for this application. Furthermore, a-Si:H is a material that has an intrinsically high radiation hardness. In order to develop these devices, the HASPIDE (Hydrogenated Amorphous Silicon Pixel Detectors) collaboration has implemented two different device configurations: n-i-p type diodes and charge-selective contact devices.Charge-selective contact-based devices have been studied for solar cell applications and, recently, the above-mentioned collaboration has tested these devices for X-ray dose measurements. In this paper, the HASPIDE collaboration has studied the X-ray and proton response of charge-selective contact devices deposited on Polyimide. The linearity of the photocurrent response to X-ray versus dose-rate has been assessed at various bias voltages. The sensitivity to protons has also been studied at various bias voltages and the wide range linearity has been tested for fluxes in the range from 8.3 × 107 to 2.49 × 1010 p/(cm2 s). Full article
(This article belongs to the Special Issue Advances in Physical, Chemical, and Biosensors)
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Review

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52 pages, 4917 KiB  
Review
Exploring the Unseen: A Survey of Multi-Sensor Fusion and the Role of Explainable AI (XAI) in Autonomous Vehicles
by De Jong Yeong, Krishna Panduru and Joseph Walsh
Sensors 2025, 25(3), 856; https://doi.org/10.3390/s25030856 - 31 Jan 2025
Cited by 1 | Viewed by 4224
Abstract
Autonomous vehicles (AVs) rely heavily on multi-sensor fusion to perceive their environment and make critical, real-time decisions by integrating data from various sensors such as radar, cameras, Lidar, and GPS. However, the complexity of these systems often leads to a lack of transparency, [...] Read more.
Autonomous vehicles (AVs) rely heavily on multi-sensor fusion to perceive their environment and make critical, real-time decisions by integrating data from various sensors such as radar, cameras, Lidar, and GPS. However, the complexity of these systems often leads to a lack of transparency, posing challenges in terms of safety, accountability, and public trust. This review investigates the intersection of multi-sensor fusion and explainable artificial intelligence (XAI), aiming to address the challenges of implementing accurate and interpretable AV systems. We systematically review cutting-edge multi-sensor fusion techniques, along with various explainability approaches, in the context of AV systems. While multi-sensor fusion technologies have achieved significant advancement in improving AV perception, the lack of transparency and explainability in autonomous decision-making remains a primary challenge. Our findings underscore the necessity of a balanced approach to integrating XAI and multi-sensor fusion in autonomous driving applications, acknowledging the trade-offs between real-time performance and explainability. The key challenges identified span a range of technical, social, ethical, and regulatory aspects. We conclude by underscoring the importance of developing techniques that ensure real-time explainability, specifically in high-stakes applications, to stakeholders without compromising safety and accuracy, as well as outlining future research directions aimed at bridging the gap between high-performance multi-sensor fusion and trustworthy explainability in autonomous driving systems. Full article
(This article belongs to the Special Issue Advances in Physical, Chemical, and Biosensors)
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