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Sensors, Volume 22, Issue 20

October-2 2022 - 389 articles

Cover Story: Alternative fuel sources, such as HENG, are highly sought after by governments for lowering carbon emissions, which in turn requires highly sensitive approaches for safety monitoring. Amongst sensing methods, MOS gas sensors are strong tools for detecting lower levels of HENG elements; however, their working mechanism results in a lack of real-time identification of the exact concentrations of gases. Leveraging a microfluidic detector, we propose a Sparse Autoencoder-based Transfer Learning (SAE-TL) method for estimating HENG elements’ concentrations. Based on the collected time series data, the SAE-TL showed dominant performance compared to typical machine learning models. The framework is implementable in real-world applications for the fast adaptation of new types of MOS sensor responses. View this paper
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Articles (389)

  • Article
  • Open Access
19 Citations
4,935 Views
23 Pages

VBlock: A Blockchain-Based Tamper-Proofing Data Protection Model for Internet of Vehicle Networks

  • Collins Sey,
  • Hang Lei,
  • Weizhong Qian,
  • Xiaoyu Li,
  • Linda Delali Fiasam,
  • Seth Larweh Kodjiku,
  • Isaac Adjei-Mensah and
  • Isaac Osei Agyemang

21 October 2022

The rapid advancement of the Internet of Vehicles (IoV) has led to a massive growth in data received from IoV networks. The cloud storage has been a timely service that provides a vast range of data storage for IoV networks. However, existing data st...

  • Article
  • Open Access
12 Citations
2,921 Views
16 Pages

21 October 2022

The key to evaluating the health status of cable-stayed bridges lies in the accuracy of cable force measurement. When measuring the cable force using the conventional frequency method, the clearance between the bracing cable and the protective tube i...

  • Article
  • Open Access
5 Citations
2,931 Views
16 Pages

21 October 2022

The high demand for pressure devices with miniaturization and a wide bearing range has encouraged researchers to explore new high-performance sensors from different approaches. In this study, a sensitive element based on graphene in-plane compression...

  • Article
  • Open Access
4 Citations
2,277 Views
16 Pages

Polarization Calibration of a Microwave Polarimeter with Near-Infrared Up-Conversion for Optical Correlation and Detection

  • Francisco J. Casas,
  • Patricio Vielva,
  • R. Belen Barreiro,
  • Enrique Martínez-González and
  • G. Pascual-Cisneros

21 October 2022

This paper presents a polarization calibration method applied to a microwave polarimeter demonstrator based on a near-infrared (NIR) frequency up-conversion stage that allows both optical correlation and signal detection at a wavelength of 1550 nm. T...

  • Article
  • Open Access
16 Citations
6,291 Views
16 Pages

Multi-Center Evaluation of Gel-Based and Dry Multipin EEG Caps

  • Chuen Rue Ng,
  • Patrique Fiedler,
  • Levin Kuhlmann,
  • David Liley,
  • Beatriz Vasconcelos,
  • Carlos Fonseca,
  • Gabriella Tamburro,
  • Silvia Comani,
  • Troby Ka-Yan Lui and
  • Chun-Yu Tse
  • + 3 authors

21 October 2022

Dry electrodes for electroencephalography (EEG) allow new fields of application, including telemedicine, mobile EEG, emergency EEG, and long-term repetitive measurements for research, neurofeedback, or brain–computer interfaces. Different dry e...

  • Article
  • Open Access
13 Citations
2,444 Views
16 Pages

21 October 2022

Vehicular Named Data Networking (VNDN) is one of the potential and future networking architectures that allow Connected and Autonomous Vehicles (CAV) to exchange data by simply disseminating the content over the network. VNDN only supports a pull-bas...

  • Article
  • Open Access
33 Citations
10,162 Views
22 Pages

21 October 2022

Brain structural morphology varies over the aging trajectory, and the prediction of a person’s age using brain morphological features can help the detection of an abnormal aging process. Neuroimaging-based brain age is widely used to quantify a...

  • Article
  • Open Access
15 Citations
4,698 Views
24 Pages

ST-DeepGait: A Spatiotemporal Deep Learning Model for Human Gait Recognition

  • Latisha Konz,
  • Andrew Hill and
  • Farnoush Banaei-Kashani

21 October 2022

Human gait analysis presents an opportunity to study complex spatiotemporal data transpiring as co-movement patterns of multiple moving objects (i.e., human joints). Such patterns are acknowledged as movement signatures specific to an individual, off...

  • Article
  • Open Access
29 Citations
4,667 Views
19 Pages

21 October 2022

Brain metastases (BMs) happen often in patients with metastatic cancer (MC), requiring initial and precise diagnosis of BMs, which remains important for medical care preparation and radiotherapy prognostication. Nevertheless, the susceptibility of au...

  • Article
  • Open Access
7 Citations
2,648 Views
23 Pages

21 October 2022

Perceptual encryption (PE) of images protects visual information while retaining the intrinsic properties necessary to enable computation in the encryption domain. Block–based PE produces JPEG-compliant images with almost the same compression s...

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Sensors - ISSN 1424-8220