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Sensors, Volume 25, Issue 19

October-1 2025 - 327 articles

Cover Story: The automation of concrete constructions through 3D printing in civil engineering has promising advantages over traditional construction methods. However, widespread implementation is hindered by uncertainties in quality control, homogeneity, and interlayer bonding, as well as the uniqueness of each printed component. This study aims at enabling condition assessment of cementitious 3D printing by integrating the self-sensing materials as sensing nodes within conventional components. Sensing nodes are fabricated by incorporating graphite powder and carbon microfibers into a cementitious matrix to enhance its piezoresistive properties. Results confirm the feasibility of integrating 3D-printed self-sensing cementitious materials through hybrid manufacturing, enabling monitoring of print quality. View this paper
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Articles (327)

  • Review
  • Open Access
1 Citations
1,771 Views
17 Pages

9 October 2025

Electrochemical impedance spectroscopy (EIS) is a highly versatile electrochemical technique capable of discretizing each electrochemical parameter in complex systems by employing a broad frequency spectrum. When EIS is employed in (bio)sensing appli...

  • Article
  • Open Access
1,189 Views
24 Pages

Design and Implementation of an Inductive Proximity Sensor with Embedded Systems

  • Septimiu Sever Pop,
  • Alexandru-Florin Flutur and
  • Alexandra Fodor

9 October 2025

Non-mechanical contact distance measurement solutions are becoming more and more necessary in various industries, including building monitoring, automotive, and aviation industries. Inductive proximity sensor (IPS) technology is becoming a more popul...

  • Article
  • Open Access
1,207 Views
30 Pages

9 October 2025

Accurately predicting the reception area of the Automatic Identification System (AIS) is critical for ship tracking and anomaly detection, as errors in signal interpretation may lead to incorrect vessel localization and behavior analysis. However, tr...

  • Article
  • Open Access
928 Views
26 Pages

9 October 2025

Objective evaluation of pilot fatigue is crucial for enhancing aviation safety. Although electroencephalography (EEG) is regarded as an effective tool for recognizing pilot fatigue, the direct application of deep learning models to raw EEG signals fa...

  • Article
  • Open Access
1,242 Views
13 Pages

9 October 2025

This study investigated differences in energy-expenditure (EE) modeling between badminton players of varying competitive levels during aerobic training. It evaluated the impact of sensor quantity and sample size on prediction model accuracy and gener...

  • Article
  • Open Access
847 Views
19 Pages

9 October 2025

Industrial image anomaly detection (IAD) is crucial for quality control, but its performance often degrades when training data contain label noise. To circumvent the reliance on potentially flawed labels, unsupervised methods that learn from the data...

  • Article
  • Open Access
1 Citations
677 Views
30 Pages

9 October 2025

Component identification and concentration estimation of a gas mixture component are important for gas detection. However, the accuracy of traditional gas identification will decrease if the sample is not balanced or the number of samples is too few....

  • Article
  • Open Access
780 Views
16 Pages

9 October 2025

Accurate vehicle state estimation in a lane coordinate system is essential for safe and reliable operation of Advanced Driver Assistance Systems (ADASs) and autonomous driving. However, achieving robust lane-based state estimation using only low-cost...

  • Article
  • Open Access
3,273 Views
17 Pages

Physical Workload Patterns in U-18 Basketball Using LPS and MEMS Data: A Principal Component Analysis by Quarter and Playing Position

  • Sergio J. Ibáñez,
  • Markel Rico-González,
  • Carlos D. Gómez-Carmona and
  • José Pino-Ortega

9 October 2025

Basketball is a high-intensity, intermittent sport in which physical demands fluctuate depending on different contextual variables. Most studies addressed these demands in isolation without integrative approaches. Therefore, the present study aimed t...

  • Article
  • Open Access
713 Views
14 Pages

Attention-Enhanced Semantic Segmentation for Substation Inspection Robot Navigation

  • Changqing Cai,
  • Yongkang Yang,
  • Kaiqiao Tian,
  • Yuxin Yan,
  • Kazuyuki Kobayashi and
  • Ka C. Cheok

9 October 2025

Outdoor substations present complex conditions such as uneven terrain, strong illumination variations, and frequent occlusions, which pose significant challenges for autonomous robotic inspection. To address these issues, we develop an embedded inspe...

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Sensors - ISSN 1424-8220