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Feature Review Papers in Intelligent Sensors
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Feature Review Papers in Intelligent Sensors

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 743

Special Issue Editor

Prof. Dr. Mehmet Rasit Yuce

E-Mail Website
Guest Editor
Department of Electrical and Computer Systems, Monash University, Clayton, VIC 3800, Australia
Interests: wearable devices; IoT sensors; bioelectronics; IC circuits; wireless body area networks; MEMs design; biomedial circuits; RF electronics; energy harvesting; sensor/sensor interface circuits and low-power circuits for emerging technologies in wireless communications, such as UWB technology and the Internet of Things (IoT)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue “Feature Review Papers in Intelligent Sensors” aims to collect high-quality review papers in the research fields of interest related to smart and intelligent sensors. (https://www.mdpi.com/journal/sensors/sections/Intelligent_Sensors).

We welcome all researchers from the following fields to contribute review papers highlighting the latest developments in their research field or to invite relevant experts and colleagues to do so.

  • Sensor Signal Processing;
  • Computer Vision;
  • Intelligent Image/Visual Sensors;
  • Intelligent Integrated Sensors;
  • Integrated Circuit;
  • Human–Robot/Machine/Computer Interaction;
  • Artificial Intelligence;
  • Intelligent Instrumentation;
  • Intelligent Portable Platforms;
  • Intelligent Computing;
  • Intelligent Tactile Sensors;
  • Wireless Sensor Network (WSN);
  • Smart Sensor Network;
  • Intelligent Acoustic/Ultrasonic Sensors;
  • Intelligent Environmental Monitoring;
  • Smart Cities;
  • Smart Home/Home Automation;
  • Smart Sensing Manufacturing and Industry;
  • Smart Energy Management/Smart Grids;
  • Smart Agriculture;
  • Smart Health Monitoring;
  • E-Health/M-Health;
  • Wireless Body Area Networks/Wireless Body Sensor Networks;
  • Intelligent Emotion Recognition;
  • Smart Building/Smart Civil Infrastructure;
  • Smart/Precision Farming;
  • Blockchain 5G/6G.

Prof. Dr. Mehmet Rasit Yuce
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

  • smart sensors
  • intelligent sensors
  • sensor network
  • sensor data
  • sensor fusion
  • sensor applications
  • artificial intelligence

Published Papers (2 papers)

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Review

34 pages, 977 KiB  
Review
Recent Development in Intelligent Compaction for Asphalt Pavement Construction: Leveraging Smart Sensors and Machine Learning
by Yudan Wang, Jue Li, Xinqiang Zhang, Yongsheng Yao and Yi Peng
Sensors 2024, 24(9), 2777; https://doi.org/10.3390/s24092777 - 26 Apr 2024
Viewed by 90
Abstract
Intelligent compaction (IC) has emerged as a breakthrough technology that utilizes advanced sensing, data transmission, and control systems to optimize asphalt pavement compaction quality and efficiency. However, accurate assessment of compaction status remains challenging under real construction conditions. This paper reviewed recent progress [...] Read more.
Intelligent compaction (IC) has emerged as a breakthrough technology that utilizes advanced sensing, data transmission, and control systems to optimize asphalt pavement compaction quality and efficiency. However, accurate assessment of compaction status remains challenging under real construction conditions. This paper reviewed recent progress and applications of smart sensors and machine learning (ML) to address existing limitations in IC. The principles and components of various advanced sensors deployed in IC systems were introduced, including SmartRock, fiber Bragg grating, and integrated circuit piezoelectric acceleration sensors. Case studies on utilizing these sensors for particle behavior monitoring, strain measurement, and impact data collection were reviewed. Meanwhile, common ML algorithms including regression, classification, clustering, and artificial neural networks were discussed. Practical examples of applying ML to estimate mechanical properties, evaluate overall compaction quality, and predict soil firmness through supervised and unsupervised models were examined. Results indicated smart sensors have enhanced compaction monitoring capabilities but require robustness improvements. ML provides a data-driven approach to complement traditional empirical methods but necessitates extensive field validation. Potential integration with digital construction technologies such as building information modeling and augmented reality was also explored. In conclusion, leveraging emerging sensing and artificial intelligence presents opportunities to optimize the IC process and address key challenges. However, cooperation across disciplines will be vital to test and refine technologies under real-world conditions. This study serves to advance understanding and highlight priority areas for future research toward the realization of IC’s full potential. Full article
(This article belongs to the Special Issue Feature Review Papers in Intelligent Sensors)
32 pages, 2237 KiB  
Review
Smart Sensors and Smart Data for Precision Agriculture: A Review
by Abdellatif Soussi, Enrico Zero, Roberto Sacile, Daniele Trinchero and Marco Fossa
Sensors 2024, 24(8), 2647; https://doi.org/10.3390/s24082647 - 21 Apr 2024
Viewed by 429
Abstract
Precision agriculture, driven by the convergence of smart sensors and advanced technologies, has emerged as a transformative force in modern farming practices. The present review synthesizes insights from a multitude of research papers, exploring the dynamic landscape of precision agriculture. The main focus [...] Read more.
Precision agriculture, driven by the convergence of smart sensors and advanced technologies, has emerged as a transformative force in modern farming practices. The present review synthesizes insights from a multitude of research papers, exploring the dynamic landscape of precision agriculture. The main focus is on the integration of smart sensors, coupled with technologies such as the Internet of Things (IoT), big data analytics, and Artificial Intelligence (AI). This analysis is set in the context of optimizing crop management, using resources wisely, and promoting sustainability in the agricultural sector. This review aims to provide an in-depth understanding of emerging trends and key developments in the field of precision agriculture. By highlighting the benefits of integrating smart sensors and innovative technologies, it aspires to enlighten farming practitioners, researchers, and policymakers on best practices, current challenges, and prospects. It aims to foster a transition towards more sustainable, efficient, and intelligent farming practices while encouraging the continued adoption and adaptation of new technologies. Full article
(This article belongs to the Special Issue Feature Review Papers in Intelligent Sensors)
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