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12 Results Found

  • Article
  • Open Access
193 Views
18 Pages

28 September 2026

This paper presents the RaDICAL sensing framework, a monostatic passive radar concept that combines a Sparse Uniform Circular Array (SUCA), deterministic multifrequency dither, and dictionary-based waveform recognition for target detection and classi...

(This article belongs to the Special Issue Representation Learning for Computer Vision and Pattern Recognition, 2nd Edition)
  • Feature Paper
  • Article
  • Open Access
953 Views
23 Pages

15 September 2026

Non-cooperative sensing using signals of opportunity traditionally requires an explicit reference signal for target detection and localization. This paper introduces a reference-free sensing framework in which target geometry is inferred directly fro...

(This article belongs to the Special Issue Signal Processing Theory and Applications in Modern Communications)
  • Article
  • Open Access
3 Citations
878 Views
25 Pages

16 June 2026

This paper presents the RaDICAL monostatic passive radar framework for target detection and localization using a sparse uniform circular array (SUCA), multifrequency dither, and dictionary-based waveform processing. Rather than forming conventional s...

(This article belongs to the Section Radar Sensors)
  • Article
  • Open Access
20 Citations
9,011 Views
19 Pages

21 July 2015

Dynamic calibration is one of the important ways to acquire the dynamic performance parameters of a pressure sensor. This research focuses on the processing method for the output of calibrated pressure sensor, and mainly attempts to solve the problem...

(This article belongs to the Section Physical Sensors)
  • Article
  • Open Access
16 Citations
3,718 Views
21 Pages

Cardiodiagnostics Based on Photoplethysmographic Signals

  • Galya Georgieva-Tsaneva,
  • Evgeniya Gospodinova and
  • Krasimir Cheshmedzhiev

The article presents a methodology to support the process of correct cardiodiagnostics based on cardio signals recorded with modern optical photoplethysmographic (PPG) sensor devices. An algorithm for preprocessing registered PPG signals and the form...

(This article belongs to the Section Point-of-Care Diagnostics and Devices)
  • Article
  • Open Access
480 Views
30 Pages

6 August 2026

In the contemporary digital era, image watermarking is essential for protecting intellectual property due to the widespread unauthorized distribution of digital content. In this work, a robust and efficient image watermarking scheme for copyright pro...

  • Article
  • Open Access
20 Citations
4,804 Views
28 Pages

Joint Image Encryption and Screen-Cam Robust Two Watermarking Scheme

  • Weitong Chen,
  • Na Ren,
  • Changqing Zhu,
  • Anja Keskinarkaus and ,
  • Tapio Seppänen and
  • Qifei Zhou
  • + 1 author+ 0 author

20 January 2021

This paper proposes a joint encryption and screen-cam robust watermarking scheme. This method combines the advantages of smartphone, encryption and watermarking technologies, thereby achieving watermark extraction with a smartphone, partial decryptio...

(This article belongs to the Section Intelligent Sensors)
  • Communication
  • Open Access
239 Views
14 Pages

10 October 2026

This correspondence extends a previously introduced waveform-domain monostatic passive radar from single-target localization to simultaneous multi-target detection and localization. The radar employs a Sparse Uniform Circular Array (SUCA) with Determ...

  • Article
  • Open Access
30 Citations
6,157 Views
10 Pages

Entropy Information of Cardiorespiratory Dynamics in Neonates during Sleep

  • Maristella Lucchini,
  • Nicolò Pini,
  • William P. Fifer,
  • Nina Burtchen and
  • Maria G. Signorini

15 May 2017

Sleep is a central activity in human adults and characterizes most of the newborn infant life. During sleep, autonomic control acts to modulate heart rate variability (HRV) and respiration. Mechanisms underlying cardiorespiratory interactions in diff...

(This article belongs to the Special Issue Entropy and Sleep Disorders)
  • Article
  • Open Access
642 Views
30 Pages

Hybrid Multi-Domain ECG Feature Learning with mRMR and CNN–Transformer for Cardiac Disease Classification

  • Mohammed Alnusayri,
  • Sara Mumtaz,
  • Bader Aldughayfiq,
  • Hisham Allahem and ,
  • Nabil Almashfi,
  • Dina Abdulaziz AlHammadi and
  • Ahmad Jalal
  • + 2 authors+ 0 author

Cardiovascular disease diagnosis requires accurate and timely analysis of electrocardiogram (ECG) signals to support reliable clinical decision-making. However, ECG signals are inherently non-stationary, exhibit substantial inter-patient variability,...

(This article belongs to the Special Issue Machine Learning in Biomedical Research: Application, Innovation and Exploration)
  • Article
  • Open Access
17 Citations
7,153 Views
15 Pages

24 November 2022

Background: Promoting the development of the social and emotional skills of underprivileged-background students is an integral part of educational and social equity. To date, there has been a lack of relevant research in this field. Aims: This study...

(This article belongs to the Special Issue Research on Childhood Adversity and Youth Resilience: Cross-Disciplinary Perspectives)
  • Article
  • Open Access
1,197 Views
16 Pages

Miniaturized Wearable System for Multimodal EEG/ECG/EMG Sensing and Real-Time Physiological Monitoring

  • Yunxiang Zhang,
  • Xueyang Meng,
  • Chengbang Lu,
  • Yingning He and
  • Xiangyu Liang

Real-time physiological state awareness is central to next-generation wearable computing, yet most existing electrophysiological signal acquisition platforms remain limited to single-modality sensing, high component cost, or bulky form factors that h...

(This article belongs to the Special Issue Bioelectronics and Its Limitless Possibilities)