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  • Article
  • Open Access
5 Citations
5,138 Views
12 Pages

Machine-Learning Classification of Pulse Waveform Quality

  • Te Ouyoung,
  • Wan-Ling Weng,
  • Ting-Yu Hu,
  • Chia-Chien Lee,
  • Li-Wei Wu and
  • Hsin Hsiu

8 November 2022

Pulse measurements made using wearable devices can aid the monitoring of human physiological condition. Accurate estimation of waveforms is often difficult for nonexperts; motion artifacts may occur during tonometry measurements when the skin–s...

  • Article
  • Open Access
889 Views
17 Pages

11 October 2025

Reliable analysis of remote photoplethysmography (rPPG) signals depends on identifying physiologically plausible pulses. Traditional approaches rely on clustering self-similar pulses, which can discard valid variability. Automating pulse quality asse...

  • Article
  • Open Access
47 Citations
9,994 Views
16 Pages

3 July 2020

As photoplethysmographic (PPG) signals are comprised of numerous pieces of important physiological information, they have been widely employed to measure many physiological parameters. However, only a high-quality PPG signal can provide a reliable ph...

  • Article
  • Open Access
31 Citations
4,379 Views
16 Pages

21 February 2020

Photoplethysmography (PPG) has been extensively employed to acquire some physiological parameters such as heart rate, oxygen saturation, and blood pressure. However, PPG signals are frequently corrupted by motion artifacts and baseline wandering, esp...

  • Article
  • Open Access
5 Citations
2,232 Views
26 Pages

30 August 2024

Accurately classifying the intra-pulse modulations of radar emitter signals is important for radar systems and can provide necessary information for relevant military command strategy and decision making. As strong additional white Gaussian noise (AW...

  • Article
  • Open Access
8 Citations
3,125 Views
15 Pages

4 November 2021

Suspended particles affect the state and vitality of the marine ecosystem. In situ probing and accurately classifying the suspended particles in seawater have an important impact on ecological research and environmental monitoring. Individual measure...

  • Article
  • Open Access
8 Citations
3,320 Views
19 Pages

Identification of Characteristic Points in Multivariate Physiological Signals by Sensor Fusion and Multi-Task Deep Networks

  • Matteo Rossi,
  • Giulia Alessandrelli,
  • Andra Dombrovschi,
  • Dario Bovio,
  • Caterina Salito,
  • Luca Mainardi and
  • Pietro Cerveri

31 March 2022

Identification of characteristic points in physiological signals, such as the peak of the R wave in the electrocardiogram and the peak of the systolic wave of the photopletismogram, is a fundamental step for the quantification of clinical parameters,...

  • Article
  • Open Access
16 Citations
3,805 Views
16 Pages

Development of a Monitoring Strategy for Laser-Textured Metallic Surfaces Using a Diffractive Approach

  • Sascha Teutoburg-Weiss,
  • Bogdan Voisiat,
  • Marcos Soldera and
  • Andrés Fabián Lasagni

20 December 2019

The current status of research around the world concurs on the powerful influence of micro- and nano-textured surfaces in terms of surface functionalization. In order to characterize the manufactured topographical morphology with regard to the surfac...

  • Article
  • Open Access
20 Citations
5,879 Views
15 Pages

4 March 2017

Detection of foreign matter in cleaned cotton is instrumental to accurately grading cotton quality, which in turn impacts the marketability of the cotton. Current grading systems return estimates of the amount of foreign matter present, but provide n...

  • Article
  • Open Access
4 Citations
3,308 Views
26 Pages

Identification of the State of Electrical Appliances with the Use of a Pulse Signal Generator

  • Augustyn Wójcik,
  • Piotr Bilski,
  • Robert Łukaszewski,
  • Krzysztof Dowalla and
  • Ryszard Kowalik

28 January 2021

The paper presents the novel HF-GEN method for determining the characteristics of Electrical Appliance (EA) operating in the end-user environment. The method includes a measurement system that uses a pulse signal generator to improve the quality of E...

  • Article
  • Open Access
10 Citations
6,181 Views
15 Pages

3 January 2023

This paper proposes a gradient-based data fusion and classification approach for Synthetic Aperture Radar (SAR) and optical image. This method is used to intuitively reflect the boundaries and edges of land cover classes present in the dataset. For t...

  • Article
  • Open Access
7 Citations
2,632 Views
15 Pages

2 April 2024

In ultrashort-pulsed laser processing, surface modification is subject to complex laser and scanning parameter studies. In addition, quality assurance systems for monitoring surface modification are still lacking. Automated laser processing routines...

  • Article
  • Open Access
2 Citations
2,216 Views
15 Pages

23 September 2024

The modulation classification technology for radar intra-pulse signals is important in the electronic countermeasures field. As the high quality labeled radar signals are difficult to be captured in the real applications, the signal modulation classi...

  • Article
  • Open Access
10 Citations
6,721 Views
15 Pages

Vision without the Image

  • Bo Chen and
  • Pietro Perona

6 April 2016

Novel image sensors transduce the stream of photons directly into asynchronous electrical pulses, rather than forming an image. Classical approaches to vision start from a good quality image and therefore it is tempting to consider image reconstructi...

  • Article
  • Open Access
21 Citations
4,276 Views
10 Pages

9 April 2021

In this paper, Nuclear Magnetic Resonance spectroscopy (NMR)-based metabolomics were applied for the discrimination of ale and lager craft American beers. A modified pulse sequence that allows the efficient suppression of the water and ethanol peaks...

  • Article
  • Open Access
7 Citations
2,515 Views
13 Pages

COVID-19 Detection Using Photoplethysmography and Neural Networks

  • Sara Lombardi,
  • Piergiorgio Francia,
  • Rossella Deodati,
  • Italo Calamai,
  • Marco Luchini,
  • Rosario Spina and
  • Leonardo Bocchi

25 February 2023

The early identification of microvascular changes in patients with Coronavirus Disease 2019 (COVID-19) may offer an important clinical opportunity. This study aimed to define a method, based on deep learning approaches, for the identification of COVI...

  • Article
  • Open Access
1,749 Views
19 Pages

Intelligent Diagnosis of Compound Faults of Gearboxes Based on Periodical Group Sparse Model

  • Lan Chen,
  • Xiangfeng Zhang,
  • Lizhong Wang,
  • Kaihua Li and
  • Yang Feng

18 May 2024

A gearbox compound fault intelligent diagnosis method based on the period group sparse model is proposed for the problem that the fault features are coupled with each other and the fault components are superimposed on each other and difficult to be s...

  • Article
  • Open Access
6 Citations
5,037 Views
18 Pages

Effects of Environmental Clutter on Synthesized Chiropteran Echolocation Signals in an Anechoic Chamber

  • Samuel R. Freeze,
  • Masoud Shirazi,
  • Nicole Abaid,
  • Mark Ford,
  • Alexander Silvis and
  • Dawn Hakkenberg

11 June 2021

Ultrasonic bat detectors are useful for research and monitoring purposes to assess occupancy and relative activity of bat communities. Environmental “clutter” such as tree boles and foliage can affect the recording quality and identification of bat e...

  • Article
  • Open Access
26 Citations
8,906 Views
20 Pages

Monitoring the Arctic Seas: How Satellite Altimetry Can Be Used to Detect Open Water in Sea-Ice Regions

  • Felix L. Müller,
  • Denise Dettmering,
  • Wolfgang Bosch and
  • Florian Seitz

1 June 2017

Open water areas surrounded by sea ice significantly influence the ocean-ice-atmosphere interaction and contribute to Arctic climate change. Satellite altimetry can detect these ice openings and enables one to estimate sea surface heights and further...

  • Proceeding Paper
  • Open Access
1 Citations
2,778 Views
11 Pages

Anxiety Detection Using Consumer Heart Rate Sensors

  • Soraya Sinche,
  • Jefferson Acán and
  • Pablo Hidalgo

18 November 2024

Increasingly, humans are exposed to different activities at work, at home, and in general in their daily lives that generate episodes of stress. In many cases, these episodes could produce disorders in their health and reduce their quality of life. F...

  • Article
  • Open Access
159 Citations
16,275 Views
33 Pages

Capability Assessment and Performance Metrics for the Titan Multispectral Mapping Lidar

  • Juan Carlos Fernandez-Diaz,
  • William E. Carter,
  • Craig Glennie,
  • Ramesh L. Shrestha,
  • Zhigang Pan,
  • Nima Ekhtari,
  • Abhinav Singhania,
  • Darren Hauser and
  • Michael Sartori

10 November 2016

In this paper we present a description of a new multispectral airborne mapping light detection and ranging (lidar) along with performance results obtained from two years of data collection and test campaigns. The Titan multiwave lidar is manufactured...

  • Article
  • Open Access
17 Citations
5,388 Views
16 Pages

Learning Using Concave and Convex Kernels: Applications in Predicting Quality of Sleep and Level of Fatigue in Fibromyalgia

  • Elyas Sabeti,
  • Jonathan Gryak,
  • Harm Derksen,
  • Craig Biwer,
  • Sardar Ansari,
  • Howard Isenstein,
  • Anna Kratz and
  • Kayvan Najarian

28 April 2019

Fibromyalgia is a medical condition characterized by widespread muscle pain and tenderness and is often accompanied by fatigue and alteration in sleep, mood, and memory. Poor sleep quality and fatigue, as prominent characteristics of fibromyalgia, ha...

  • Article
  • Open Access
6 Citations
2,419 Views
18 Pages

9 March 2023

Accurate and rapid identification of mineral foam flotation states can increase mineral utilization and reduce the consumption of reagents. The traditional flotation process concentrates on extracting foam features from a single-modality foam image,...

  • Article
  • Open Access
26 Citations
6,408 Views
37 Pages

Implementation of an Artificial Intelligence Approach to GPR Systems for Landmine Detection

  • Oleksandr A. Pryshchenko,
  • Vadym Plakhtii,
  • Oleksandr M. Dumin,
  • Gennadiy P. Pochanin,
  • Vadym P. Ruban,
  • Lorenzo Capineri and
  • Fronefield Crawford

5 September 2022

Artificial Neural Network (ANN) approaches are applied to detect and determine the object class using a special set of the UltraWideBand (UWB) pulse Ground Penetrating Radar (GPR) sounding results. It used the results of GPR sounding with the antenna...

  • Article
  • Open Access
637 Views
22 Pages

Pulse-Echo Ultrasonic Verification of Silicate Surface Treatments Using an External-Excitation/Single-Receiver Configuration: ROC-Based Differentiation of Concrete Specimens

  • Libor Topolář,
  • Lukáš Kalina,
  • David Markusík,
  • Vladislav Cába,
  • Martin Sedlačík,
  • Felix Černý,
  • Szymon Skibicki and
  • Vlastimil Bílek

11 August 2025

This study investigates a non-destructive, compact pulse-echo ultrasonic method that combines an external transmitter with a single receiving sensor to identify different surface treatments applied to cementitious materials. The primary objective was...

  • Proceeding Paper
  • Open Access
1,352 Views
7 Pages

Data-Centric Performance Improvement Strategies for Few-Shot Classification of Chemical Sensor Data

  • Bhargavi Mahesh,
  • Teresa Scholz,
  • Jana Streit,
  • Thorsten Graunke and
  • Sebastian Hettenkofer

1 November 2021

Metal oxide (MOX) sensors offer a low-cost solution to detect volatile organic compound (VOC) mixtures. However, their operation involves time-consuming heating cycles, leading to a slower data collection and data classification process. This work in...

  • Article
  • Open Access
1,193 Views
24 Pages

25 June 2025

In complex urban electromagnetic environments, wireless positioning signals are subject to various types of interference, including narrowband, chirp, and pulse jamming. Traditional generic suppression methods struggle to achieve global optimization...

  • Article
  • Open Access
6 Citations
2,672 Views
12 Pages

Development of a Low-Cost Artificial Vision System as an Alternative for the Automatic Classification of Persian Lemon: Prototype Test Simulation

  • Bridget V. Granados-Vega,
  • Carlos Maldonado-Flores,
  • Camila S. Gómez-Navarro,
  • Walter M. Warren-Vega,
  • Armando Campos-Rodríguez and
  • Luis A. Romero-Cano

19 October 2023

In the present research work, an algorithm of artificial neural network (ANN) has been developed based on the processing of digital images of Persian lemons with the aim of optimizing the quality control of the product. For this purpose, the physical...

  • Article
  • Open Access
11 Citations
3,122 Views
26 Pages

Multi-Task Classification of Physical Activity and Acute Psychological Stress for Advanced Diabetes Treatment

  • Mahmoud Abdel-Latif,
  • Mohammad Reza Askari,
  • Mudassir M. Rashid,
  • Minsun Park,
  • Lisa Sharp,
  • Laurie Quinn and
  • Ali Cinar

17 February 2023

Wearable sensor data can be integrated and interpreted to improve the treatment of chronic conditions, such as diabetes, by enabling adjustments in treatment decisions based on physical activity and psychological stress assessments. The challenges in...

  • Article
  • Open Access
4 Citations
3,246 Views
15 Pages

Characterization of a Collection of Colored Lentil Genetic Resources Using a Novel Computer Vision Approach

  • Marco Del Coco,
  • Barbara Laddomada,
  • Giuseppe Romano,
  • Pierluigi Carcagnì,
  • Shiv Kumar and
  • Marco Leo

7 December 2022

The lentil (Lens culinaris Medik.) is one of the major pulse crops cultivated worldwide. However, in the last decades, lentil cultivation has decreased in many areas surrounding Mediterranean countries due to low yields, new lifestyles, and changed e...

  • Article
  • Open Access
4 Citations
1,717 Views
28 Pages

14 March 2024

The phase circulating current (PCC) of the parallel three-phase inverter systems dramatically affects the power quality and conversion efficiency of the power grid. In this paper, a composite suppression strategy is proposed to solve the PCC issue by...

  • Article
  • Open Access
15 Citations
6,320 Views
16 Pages

Screening for Major Depressive Disorder Using a Wearable Ultra-Short-Term HRV Monitor and Signal Quality Indices

  • Shohei Sato,
  • Takuma Hiratsuka,
  • Kenya Hasegawa,
  • Keisuke Watanabe,
  • Yusuke Obara,
  • Nobutoshi Kariya,
  • Toshikazu Shinba and
  • Takemi Matsui

10 April 2023

To encourage potential major depressive disorder (MDD) patients to attend diagnostic sessions, we developed a novel MDD screening system based on sleep-induced autonomic nervous responses. The proposed method only requires a wristwatch device to be w...

  • Article
  • Open Access
10 Citations
3,310 Views
12 Pages

25 April 2024

This study aimed to investigate the impact of Pulsed Electric Fields (PEF) technology in the extraction of olive oil on a pilot scale, using the “Galega Vulgar” olive variety as raw material. The extraction assisted by PEF had a malaxatio...

  • Article
  • Open Access
35 Citations
10,569 Views
20 Pages

What is the Point? Evaluating the Structure, Color, and Semantic Traits of Computer Vision Point Clouds of Vegetation

  • Jonathan P. Dandois,
  • Matthew Baker,
  • Marc Olano,
  • Geoffrey G. Parker and
  • Erle C. Ellis

9 April 2017

Remote sensing of the structural and spectral traits of vegetation is being transformed by structure from motion (SFM) algorithms that combine overlapping images to produce three-dimensional (3D) red-green-blue (RGB) point clouds. However, much remai...

  • Article
  • Open Access
70 Citations
7,940 Views
24 Pages

Interpolation Routines Assessment in ALS-Derived Digital Elevation Models for Forestry Applications

  • Antonio Luis Montealegre,
  • María Teresa Lamelas and
  • Juan De la Riva

9 July 2015

Airborne Laser Scanning (ALS) is capable of estimating a variety of forest parameters using different metrics extracted from the normalized heights of the point cloud using a Digital Elevation Model (DEM). In this study, six interpolation routines we...

  • Article
  • Open Access
22 Citations
4,281 Views
21 Pages

Asymmetric Multilevel Inverter Topology and Its Fault Management Strategy for High-Reliability Applications

  • Mohammad Fahad,
  • Mohd Tariq,
  • Adil Sarwar,
  • Mohammad Modabbir,
  • Mohd Aman Zaid,
  • Kuntal Satpathi,
  • MD Reyaz Hussan,
  • Mohammad Tayyab,
  • Basem Alamri and
  • Ahmad Alahmadi

16 July 2021

As the applications of power electronic converters increase across multiple domains, so do the associated challenges. With multilevel inverters (MLIs) being one of the key technologies used in renewable systems and electrification, their reliability...

  • Article
  • Open Access
27 Citations
5,144 Views
25 Pages

Methods to predict underwater acoustics are gaining increased significance, as the propulsion industry is required to confirm noise spectrum limits, for instance in compliance with classification society rules. Propeller–ship interaction is a main co...

  • Article
  • Open Access
1 Citations
2,774 Views
24 Pages

14 October 2024

Radar radiation source recognition is critical for the reliable operation of radar communication systems. However, in increasingly complex electromagnetic environments, traditional identification methods face significant limitations. These methods of...

  • Article
  • Open Access
35 Citations
13,529 Views
15 Pages

Variation in Pea (Pisum sativum L.) Seed Quality Traits Defined by Physicochemical Functional Properties

  • Carla S. Santos,
  • Bruna Carbas,
  • Ana Castanho,
  • Marta W. Vasconcelos,
  • Maria Carlota Vaz Patto,
  • Claire Domoney and
  • Carla Brites

13 November 2019

Pea is one of the most produced and consumed pulse crops around the world. The study of genetic variability within pea germplasm is an important tool to identify outstanding accessions with optimal functional and nutritional qualities. In the present...

  • Article
  • Open Access
7 Citations
2,986 Views
39 Pages

17 December 2024

The hindering of Global Navigation Satellite Systems (GNSS) signal reception by jamming and spoofing attacks degrades the signal quality. Careful attention needs to be paid when post-processing the signal under these circumstances before feeding the...

  • Article
  • Open Access
831 Views
12 Pages

Vitamin D Insufficiency and Deficiency in Chronic Pancreatitis: Association with Disease Progression and Cardiovascular Risk

  • Mila Kovacheva-Slavova,
  • Plamen Gecov,
  • Neli Georgieva,
  • Victor Dimitrov,
  • Nikolay Penkov and
  • Borislav Vladimirov

Background: Vitamin D (VD) insufficiency is present in chronic pancreatitis (CP), leading to increased cardiovascular risk, bone complications, impaired quality of life, and increased mortality. This study aimed to determine the prevalence of VD defi...

  • Abstract
  • Open Access
1,383 Views
2 Pages

Tea (Camellia sinensis) is one of the most popular beverages, commonly consumed all over the world. Depending on the fermentation process, tea leaves can be categorized into three major groups: unfermented green tea, semifermented Oolong tea, and ful...

  • Article
  • Open Access
87 Citations
13,064 Views
16 Pages

Contactless Vital Signs Measurement System Using RGB-Thermal Image Sensors and Its Clinical Screening Test on Patients with Seasonal Influenza

  • Toshiaki Negishi,
  • Shigeto Abe,
  • Takemi Matsui,
  • He Liu,
  • Masaki Kurosawa,
  • Tetsuo Kirimoto and
  • Guanghao Sun

13 April 2020

Background: In the last two decades, infrared thermography (IRT) has been applied in quarantine stations for the screening of patients with suspected infectious disease. However, the fever-based screening procedure employing IRT suffers from low sens...

  • Article
  • Open Access
5 Citations
1,748 Views
15 Pages

26 March 2025

Chronic pain is prevalent and disproportionately impacts adults with a lower quality of life. Although subjective self-reporting is the “gold standard” for pain assessment, tools are needed to objectively monitor and account for inter-ind...

  • Review
  • Open Access
21 Citations
4,361 Views
55 Pages

9 May 2023

Shunt Adaptive Power Filter (SAPF) is widely used in the performance of power quality improvement activities in the power supply industry for processing industries or civil power sources in the world today based on its simplicity, transparency, high...

  • Article
  • Open Access
9 Citations
2,730 Views
20 Pages

Trans-Boundary Dust Transport of Dust Storms in Northern China: A Study Utilizing Ground-Based Lidar Network and CALIPSO Satellite

  • Zhisheng Zhang,
  • Zhiqiang Kuang,
  • Caixia Yu,
  • Decheng Wu,
  • Qibing Shi,
  • Shuai Zhang,
  • Zhenzhu Wang and
  • Dong Liu

29 March 2024

During 14–16 March 2021, a large-scale dust storm event occurred in the northern region of China, and it was considered the most intense event in the past decade. This study employs observation data for PM2.5 and PM10 from the air quality monit...

  • Article
  • Open Access
13 Citations
7,151 Views
18 Pages

Clinical Comparison of Diode Laser Assisted “v-Shape Frenectomy” and Conventional Surgical Method as Treatment of Ankyloglossia

  • Sileno Tancredi,
  • Paolo De Angelis,
  • Mario Marra,
  • Michele Antonio Lopez,
  • Paolo Francesco Manicone,
  • Pier Carmine Passarelli,
  • Antonino Romeo,
  • Roberta Grassi and
  • Antonio D'Addona

(1) Background: Ankyloglossia, or tongue-tie is a condition, in which the tip of tongue cannot protrude beyond the lower incisor teeth because of short frenulum linguae, often containing scar tissue. Limitations of movement are the most important cli...

  • Article
  • Open Access
1 Citations
1,304 Views
12 Pages

Nondestructive Monitoring of Textile-Reinforced Cementitious Composites Subjected to Freeze–Thaw Cycles

  • Nicolas Ospitia,
  • Ali Pourkazemi,
  • Eleni Tsangouri,
  • Thaer Tayeh,
  • Johan H. Stiens and
  • Dimitrios G. Aggelis

20 December 2024

Cementitious materials are susceptible to damage not only from mechanical loading, but also from environmental (physical, chemical, and biological) factors. For Textile-Reinforced Cementitious (TRC) composites, durability poses a significant challeng...

  • Article
  • Open Access
8 Citations
3,149 Views
31 Pages

Adaptive Autonomous Protocol for Secured Remote Healthcare Using Fully Homomorphic Encryption (AutoPro-RHC)

  • Ruey-Kai Sheu,
  • Yuan-Cheng Lin,
  • Mayuresh Sunil Pardeshi,
  • Chin-Yin Huang,
  • Kai-Chih Pai,
  • Lun-Chi Chen and
  • Chien-Chung Huang

16 October 2023

The outreach of healthcare services is a challenge to remote areas with affected populations. Fortunately, remote health monitoring (RHM) has improved the hospital service quality and has proved its sustainable growth. However, the absence of securit...