You are currently viewing a new version of our website. To view the old version click .

Sensors, Volume 23, Issue 20

October-2 2023 - 311 articles

Cover Story: Thermal tomography (TT) is a promising non-contact nondestructive imaging method for the detection of pores in metallic structures printed with the laser powder bed fusion (LPBF) additive manufacturing method. We introduce a novel multi-task learning (MTL) approach, which simultaneously performs a classification of synthetic TT images and segmentation of experimental scanning electron microscopy (SEM) images. Synthetic TT images are obtained from computer simulations of metallic structures with subsurface elliptical-shape defects, while experimental SEM images are obtained from imaging of LPBF-printed stainless-steel coupons. The results of this study show that the MTL network performs better in both the classification and segmentation tasks, as compared to the conventional approach when the individual tasks are performed independently of each other. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (311)

  • Review
  • Open Access
13 Citations
4,006 Views
19 Pages

An Overview to Molecularly Imprinted Electrochemical Sensors for the Detection of Bisphenol A

  • Ying Pan,
  • Mengfan Wu,
  • Mingjiao Shi,
  • Peizheng Shi,
  • Ningbin Zhao,
  • Yangguang Zhu,
  • Hassan Karimi-Maleh,
  • Chen Ye,
  • Cheng-Te Lin and
  • Li Fu

23 October 2023

Bisphenol A (BPA) is an industrial chemical used extensively in plastics and resins. However, its endocrine-disrupting properties pose risks to human health and the environment. Thus, accurate and rapid detection of BPA is crucial for exposure monito...

  • Article
  • Open Access
2 Citations
2,733 Views
19 Pages

A Robust and Integrated Visual Odometry Framework Exploiting the Optical Flow and Feature Point Method

  • Haiyang Qiu,
  • Xu Zhang,
  • Hui Wang,
  • Dan Xiang,
  • Mingming Xiao,
  • Zhiyu Zhu and
  • Lei Wang

23 October 2023

In this paper, we propose a robust and integrated visual odometry framework exploiting the optical flow and feature point method that achieves faster pose estimate and considerable accuracy and robustness during the odometry process. Our method utili...

  • Article
  • Open Access
5 Citations
4,368 Views
19 Pages

23 October 2023

Time–frequency analysis of EEG data is a key step in exploring the internal activities of the human brain. Studying oscillations is an important part of the analysis, as they are thought to provide the underlying mechanism for communication bet...

  • Article
  • Open Access
7 Citations
3,671 Views
16 Pages

23 October 2023

Urbanization has led to the need for the intelligent management of various urban challenges, from traffic to energy. In this context, smart campuses and buildings emerge as microcosms of smart cities, offering both opportunities and challenges in tec...

  • Article
  • Open Access
5 Citations
1,820 Views
16 Pages

23 October 2023

In the early 1990s, Mehrotra and Nichani developed a filtering-based corner detection method, which, though conceptually intriguing, suffered from limited reliability, leading to minimal references in the literature. Despite its underappreciation, th...

  • Review
  • Open Access
66 Citations
17,267 Views
73 Pages

Wearable Nano-Based Gas Sensors for Environmental Monitoring and Encountered Challenges in Optimization

  • Sara Hooshmand,
  • Panagiotis Kassanos,
  • Meysam Keshavarz,
  • Pelin Duru,
  • Cemre Irmak Kayalan,
  • İzzet Kale and
  • Mustafa Kemal Bayazit

23 October 2023

With a rising emphasis on public safety and quality of life, there is an urgent need to ensure optimal air quality, both indoors and outdoors. Detecting toxic gaseous compounds plays a pivotal role in shaping our sustainable future. This review aims...

  • Article
  • Open Access
10 Citations
4,146 Views
27 Pages

23 October 2023

An end-to-end approach to autonomous navigation that is based on deep reinforcement learning (DRL) with a survival penalty function is proposed in this paper. Two actor–critic (AC) frameworks, namely, deep deterministic policy gradient (DDPG) a...

  • Article
  • Open Access
1 Citations
4,723 Views
22 Pages

SLAV-Sim: A Framework for Self-Learning Autonomous Vehicle Simulation

  • Jacob Crewe,
  • Aditya Humnabadkar,
  • Yonghuai Liu,
  • Amr Ahmed and
  • Ardhendu Behera

23 October 2023

With the advent of autonomous vehicles, sensors and algorithm testing have become crucial parts of the autonomous vehicle development cycle. Having access to real-world sensors and vehicles is a dream for researchers and small-scale original equipmen...

  • Article
  • Open Access
10 Citations
5,301 Views
17 Pages

23 October 2023

GPS-based maneuvering target localization and tracking is a crucial aspect of autonomous driving and is widely used in navigation, transportation, autonomous vehicles, and other fields.The classical tracking approach employs a Kalman filter with prec...

  • Article
  • Open Access
2 Citations
2,157 Views
18 Pages

23 October 2023

The high-temperature strain gauge is a sensor for strain measurement in high-temperature environments. The measurement results often have a certain divergence, so the uncertainty of the high-temperature strain gauge system is analyzed theoretically....

of 32

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Sensors - ISSN 1424-8220