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1,769 Results Found

  • Article
  • Open Access
17 Citations
11,252 Views
21 Pages

5 June 2024

This study explored an indoor system for tracking multiple humans and detecting falls, employing three Millimeter-Wave radars from Texas Instruments. Compared to wearables and camera methods, Millimeter-Wave radar is not plagued by mobility inconveni...

  • Communication
  • Open Access
728 Views
14 Pages

27 July 2025

Multiple-reference-station-based real-time kinematics (MR-RTK) is an advanced RTK technique that leverages global navigation satellite system (GNSS) measurements from multiple reference stations and their known baselines. This study investigates the...

  • Article
  • Open Access
2,409 Views
22 Pages

17 September 2022

The heterogeneity of the multiple processing elements (PEs) is a feature of real-time embedded systems. General-purpose processors and several embedded processors, as well as dedicated high-speed interfaces, are among these elements. Communication be...

  • Review
  • Open Access
5 Citations
3,825 Views
19 Pages

Biosensors for European Zoonotic Agents: A Current Portuguese Perspective

  • Samuel da Costa Miguéis,
  • Ana P. M. Tavares,
  • Gabriela V. Martins,
  • Manuela F. Frasco and
  • Maria Goreti Ferreira Sales

2 July 2021

Emerging and recurrent outbreaks caused by zoonotic agents pose a public health risk. They result in morbidity and mortality in humans and significant losses in the livestock and food industries. This highlights the need for rapid surveillance method...

  • Article
  • Open Access
19 Citations
4,624 Views
20 Pages

9 March 2022

Multi-object tracking in video surveillance is subjected to illumination variation, blurring, motion, and similarity variations during the identification process in real-world practice. The previously proposed applications have difficulties in learni...

  • Article
  • Open Access
38 Citations
8,293 Views
16 Pages

19 January 2016

Vibrio parahaemolyticus and Vibrio vulnificus are two marine seafood-borne pathogens causing severe illnesses in humans and aquatic animals. In this study, a recently developed novel multiple endonuclease restriction real-time loop-mediated isotherma...

  • Article
  • Open Access
6 Citations
5,511 Views
19 Pages

15 February 2025

Cyber-attacks have become a significant concern today, particularly in IoT environments where security poses a substantial challenge due to the distributed nature and heterogeneity of protocols. To efficiently detect threats in IoT networks, it is cr...

  • Article
  • Open Access
2 Citations
4,324 Views
14 Pages

3 March 2022

Venous needle dislodgement (VND) is a major healthcare safety concern in patients undergoing hemodialysis. Although VND is uncommon, it can be life-threatening. The main objective of this study was to implement a real-time multi-bed monitoring system...

  • Proceeding Paper
  • Open Access
1 Citations
1,942 Views
5 Pages

Multiple Camera Fluorescence Detection for Real-Time PCR

  • Seul-Bit-Na Koo,
  • Hyeon-Gyu Chi,
  • Ji-Sung Park,
  • Jong-Dae Kim,
  • Chan-Young Park,
  • Yu-Seop Kim and
  • Deuk-Ju Lee

The general polymerase chain reaction (PCR) amplifies DNA and analyzes the amplification results of the quantified DNA. Recently, real-time PCR has been developed to detect DNA amplification in various ways. The conventional camera-based system is to...

  • Article
  • Open Access
19 Citations
5,695 Views
16 Pages

20 November 2019

Detection of moving objects by unmanned aerial vehicles (UAVs) is an important application in the aerial transportation system. However, there are many problems to be handled such as high-frequency jitter from UAVs, small size objects, low-quality im...

  • Article
  • Open Access
2 Citations
1,676 Views
13 Pages

Beyond the Timed Up and Go: Dual-Task Gait Assessments Improve Fall Risk Detection and Reflect Real-World Mobility in Multiple Sclerosis

  • Michael VanNostrand,
  • Myeongjin Bae,
  • Natalie Lloyd,
  • Sadegh Khodabandeloo and
  • Susan L. Kasser

Background: Falls are common among individuals with multiple sclerosis (MS), yet standard clinical mobility assessments—such as the Timed Up and Go (TUG)—may not fully capture the complexities of real-world ambulation, leading to suboptim...

  • Article
  • Open Access
15 Citations
4,270 Views
17 Pages

A Robust Real-Time Detecting and Tracking Framework for Multiple Kinds of Unmarked Object

  • Xiaodong Lv,
  • Chuankai Dai,
  • Luyao Chen,
  • Yiran Lang,
  • Rongyu Tang,
  • Qiang Huang and
  • Jiping He

18 December 2019

A rodent real-time tracking framework is proposed to automatically detect and track multi-objects in real time and output the coordinates of each object, which combines deep learning (YOLO v3: You Only Look Once, v3), the Kalman Filter, improved Hung...

  • Article
  • Open Access
3 Citations
2,572 Views
16 Pages

2 April 2025

The Vibrio genus represents a critical group of bacterial pathogens in the marine environment globally, leading to massive mortality in the aquaculture industry. Diagnosing vibriosis, an infection caused by Vibrio species, in clinical samples poses c...

  • Article
  • Open Access
1,910 Views
38 Pages

29 April 2025

This paper presents a robustness benchmark evaluation and optimization for vehicle detection. Real-time vehicle detection has become an essential means of data perception in the transportation field, covering various aspects such as intelligent trans...

  • Review
  • Open Access
137 Citations
40,373 Views
21 Pages

Real-Time Polymerase Chain Reaction: Current Techniques, Applications, and Role in COVID-19 Diagnosis

  • I Made Artika,
  • Yora Permata Dewi,
  • Ita Margaretha Nainggolan,
  • Josephine Elizabeth Siregar and
  • Ungke Antonjaya

16 December 2022

Successful detection of the first SARS-CoV-2 cases using the real-time polymerase chain reaction (real-time PCR) method reflects the power and usefulness of this technique. Real-time PCR is a variation of the PCR assay to allow monitoring of the PCR...

  • Article
  • Open Access
51 Citations
12,665 Views
15 Pages

8 June 2009

This study used real-time PCR assays to screen small sample volumes for a comprehensive range of 35 respiratory pathogens. Initial thermocycling was limited to 20 cycles to avoid competition for reagents, followed by a secondary real-time multiplex P...

  • Article
  • Open Access
1,902 Views
16 Pages

1 November 2022

Aiming at the real-time tracking problem of multiple unmanned aerial vehicles (UAVs) based on video under fog conditions, we propose a multitarget real-time tracking method that combines the Deepsort algorithm with detection based on improved dark ch...

  • Article
  • Open Access
30 Citations
3,860 Views
14 Pages

High-Throughput Microfluidic Real-Time PCR for the Detection of Multiple Microorganisms in Ixodid Cattle Ticks in Northeast Algeria

  • Ghania Boularias,
  • Naouelle Azzag,
  • Clemence Galon,
  • Ladislav Šimo,
  • Henri-Jean Boulouis and
  • Sara Moutailler

Ixodid ticks are hematophagous arthropods considered to be prominent ectoparasite vectors that have a negative impact on cattle, either through direct injury or via the transmission of several pathogens. In this study, we investigated the molecular i...

  • Article
  • Open Access
1,143 Views
18 Pages

31 March 2025

The development of robust, real-time optical methods for the detection and tracking of particles in complex, multiple-scattering media is a problem of practical importance in a number of fields, including environmental monitoring, air quality assessm...

  • Article
  • Open Access
12 Citations
3,080 Views
20 Pages

AAL-Net: A Lightweight Detection Method for Road Surface Defects Based on Attention and Data Augmentation

  • Cheng Zhang,
  • Gang Li,
  • Zekai Zhang,
  • Rui Shao,
  • Min Li,
  • Delong Han and
  • Mingle Zhou

21 January 2023

The pothole is a common road defect that seriously affects traffic efficiency and personal safety. Road evaluation and maintenance and automatic driving take pothole detection as their main research part. In the above scenarios, accuracy and real-tim...

  • Article
  • Open Access
4 Citations
4,175 Views
18 Pages

Real-Time Multiobject Tracking Based on Multiway Concurrency

  • Xuan Gong,
  • Zichun Le,
  • Yukun Wu and
  • Hui Wang

20 January 2021

This paper explored a pragmatic approach to research the real-time performance of a multiway concurrent multiobject tracking (MOT) system. At present, most research has focused on the tracking of single-image sequences, but in practical applications,...

  • Article
  • Open Access
16 Citations
2,873 Views
17 Pages

Artificial Intelligence-Based Hazard Detection in Robotic-Assisted Single-Incision Oncologic Surgery

  • Gabriela Rus,
  • Iulia Andras,
  • Calin Vaida,
  • Nicolae Crisan,
  • Bogdan Gherman,
  • Corina Radu,
  • Paul Tucan,
  • Stefan Iakab,
  • Nadim Al Hajjar and
  • Doina Pisla

28 June 2023

The problem: Single-incision surgery is a complex procedure in which any additional information automatically collected from the operating field can be of significance. While the use of robotic devices has greatly improved surgical outcomes, there ar...

  • Communication
  • Open Access
12 Citations
3,986 Views
10 Pages

Combining Multiple Assays Improves Detection and Serotyping of Foot-and-Mouth Disease Virus. A Practical Example with Field Samples from East Africa

  • Efrem Alessandro Foglia,
  • Tiziana Lembo,
  • Rudovick Kazwala,
  • Divine Ekwem,
  • Gabriel Shirima,
  • Santina Grazioli,
  • Emiliana Brocchi and
  • Giulia Pezzoni

10 August 2021

Multiple serotypes and topotypes of foot-and-mouth disease virus (FMDV) circulate in endemic areas, posing considerable impacts locally. In addition, introductions into new areas are of great concern. Indeed, in recent years, multiple FMDV outbreaks,...

  • Article
  • Open Access
13 Citations
3,539 Views
24 Pages

Preliminary Results of a Structural Health Monitoring System Application for Real-Time Debonding Detection on a Full-Scale Composite Spar

  • Monica Ciminello,
  • Bogdan Sikorski,
  • Bernardino Galasso,
  • Lorenzo Pellone,
  • Umberto Mercurio,
  • Antonio Concilio,
  • Gianvito Apuleo,
  • Aniello Cozzolino,
  • Iddo Kressel and
  • Moshe Tur
  • + 1 author

1 January 2023

The present paper reports the outcomes of activities concerning a real-time SHM system for debonding flaw detection based on ground testing of an aircraft structural component as a basis for condition-based maintenance. In this application, a damage...

  • Article
  • Open Access
10 Citations
3,078 Views
20 Pages

Research on Multi-Ship Target Detection and Tracking Method Based on Camera in Complex Scenes

  • Xiaobin Hong,
  • Bin Cui,
  • Weiguo Chen,
  • Yinhui Rao and
  • Yuanming Chen

Aiming at the problem that multi-ship target detection and tracking based on cameras is difficult to meet the accuracy and speed requirements at the same time in some complex scenes, an improved YOLOv4 algorithm is proposed, which simplified the netw...

  • Article
  • Open Access
2 Citations
2,235 Views
24 Pages

19 March 2025

Real-time anomaly detection in large, dynamic graph networks is crucial for real-world applications such as network intrusion prevention, fraud transaction identification, fake news detection in social networks, and uncovering abnormal communication...

  • Article
  • Open Access
15 Citations
5,838 Views
21 Pages

6 November 2017

Real-time detecting moving objects in infrared video sequences may be particularly challenging because of the characteristics of the objects, such as their size, contrast, velocity and trajectory. Many proposed algorithms achieve good performances bu...

  • Communication
  • Open Access
12 Citations
3,183 Views
10 Pages

22 July 2022

The conventional signal amplification strategies for surface plasmon resonance (SPR) biosensors involve the immobilization of receptors, the capture of target analytes and their recognition by signal reporters. Such strategies work at the expense of...

  • Article
  • Open Access
2 Citations
1,968 Views
13 Pages

An Improved Bulk DNA Extraction Method for Detection of Helicoverpa armigera (Lepidoptera: Noctuidae) Using Real-Time PCR

  • Kayla A. Mollet,
  • Luke R. Tembrock,
  • Frida A. Zink,
  • Alicia E. Timm and
  • Todd M. Gilligan

1 August 2024

Helicoverpa armigera is among the most problematic agricultural pests worldwide due to its polyphagy and ability to evolve pesticide resistance. Molecular detection methods for H. armigera have been developed to track its spread, as such methods allo...

  • Article
  • Open Access
5 Citations
4,720 Views
17 Pages

Real-Time Motorbike Detection: AI on the Edge Perspective

  • Awais Akhtar,
  • Rehan Ahmed,
  • Muhammad Haroon Yousaf and
  • Sergio A. Velastin

7 April 2024

Motorbikes are an integral part of transportation in emerging countries, but unfortunately, motorbike users are also one the most vulnerable road users (VRUs) and are engaged in a large number of yearly accidents. So, motorbike detection is very impo...

  • Article
  • Open Access
1 Citations
1,769 Views
23 Pages

3 November 2025

Efficient real-time computer vision-based passenger flow analysis is increasingly important for the management of intelligent transportation systems and smart cities. This paper presents the design and implementation of a system for real-time object...

  • Review
  • Open Access
7 Citations
4,203 Views
16 Pages

Sandwich Hybridization Assay for In Situ Real-Time Cyanobacterial Detection and Monitoring: A Review

  • Ping Gong,
  • Anna K. Antrim,
  • Sarah R. Bickman,
  • Emily G. Cooley and
  • Seung Ho Chung

14 August 2022

As cyanobacterial harmful algal bloom (cHAB) events increase in scale, severity, frequency, and duration around the world, rapid and accurate monitoring and characterization tools have become critically essential for regulatory and management decisio...

  • Article
  • Open Access
11 Citations
3,350 Views
17 Pages

24 December 2022

In autonomous driving, object detection is considered a base step to many subsequent processes. However, object detection is challenged by loss in visibility caused by rain. Rainfall occurs in two main forms, which are streaks and streaks accumulatio...

  • Article
  • Open Access
17 Citations
5,395 Views
13 Pages

21 February 2022

One of the primary tasks undertaken by autonomous vehicles (AVs) is object detection, which comes ahead of object tracking, trajectory estimation, and collision avoidance. Vulnerable road objects (e.g., pedestrians, cyclists, etc.) pose a greater cha...

  • Article
  • Open Access
27 Citations
7,019 Views
21 Pages

5 October 2024

Accurate detection of transportation objects is pivotal for enhancing driving safety and operational efficiency. In the rapidly evolving domain of transportation systems, the utilization of unmanned aerial vehicles (UAVs) for low-altitude detection,...

  • Article
  • Open Access
2 Citations
4,060 Views
20 Pages

Real-Time Physics Simulation Method for XR Application

  • Nak-Jun Sung,
  • Jun Ma,
  • Kunthroza Hor,
  • Taeheon Kim,
  • Hongly Va,
  • Yoo-Joo Choi and
  • Min Hong

Real-time physics simulations are vital for creating immersive and interactive experiences in extended reality (XR) applications. Balancing computational efficiency and simulation accuracy is challenging, especially in environments with multiple defo...

  • Article
  • Open Access
28 Citations
5,404 Views
17 Pages

19 October 2022

This paper considers the problem of real-time detection and classification of power quality disturbances in power delivery systems. We propose a sequential and multivariate disturbance detection method (aiming for quick and accurate detection). Our p...

  • Article
  • Open Access
2,448 Views
26 Pages

Real-Time Warehouse Monitoring with Ceiling Cameras and Digital Twin for Asset Tracking and Scene Analysis

  • Jianqiao Cheng,
  • Connor Verhulst,
  • Pieter De Clercq,
  • Shannon Van De Velde,
  • Steven Sagaert,
  • Marc Mertens,
  • Merwan Birem,
  • Maithili Deshmukh,
  • Neel Broekx and
  • Jean-Edouard Blanquart
  • + 2 authors

28 October 2025

Background: Effective asset tracking and monitoring are critical for modern warehouse management. Methods: In this paper, we present a real-time warehouse monitoring system that leverages ceiling-mounted cameras, computer vision-based object detectio...

  • Article
  • Open Access
17 Citations
4,598 Views
19 Pages

29 November 2021

Deep learning is a relatively new branch of machine learning in which computers are taught to recognize patterns in massive volumes of data. It primarily describes learning at various levels of representation, which aids in understanding data that in...

  • Article
  • Open Access
2 Citations
6,358 Views
27 Pages

Textile Defect Detection Using Artificial Intelligence and Computer Vision—A Preliminary Deep Learning Approach

  • Rúben Machado,
  • Luis A. M. Barros,
  • Vasco Vieira,
  • Flávio Dias da Silva,
  • Hugo Costa and
  • Vitor Carvalho

18 September 2025

Fabric defect detection is essential for quality assurance in textile manufacturing, where manual inspection is inefficient and error-prone. This paper presents a real-time deep learning-based system leveraging YOLOv11 for detecting defects such as h...

  • Article
  • Open Access
21 Citations
3,194 Views
14 Pages

28 February 2024

The emergence of connected and autonomous vehicles has led to complex network architectures for electronic control unit (ECU) communication. The controller area network (CAN) enables the transmission of data inside vehicle networks. However, although...

  • Article
  • Open Access
1,610 Views
14 Pages

Comparison of Next-Generation Sequencing, Real-Time PCR and HRM-PCR for Helicobacter pylori Detection in Pediatric Biopsies

  • Tomasz Bogiel,
  • Anna Szaflarska-Popławska,
  • Dariusz Grzanka,
  • Marcin Woźniak,
  • Tomasz Gosiewski and
  • Agnieszka Krawczyk

In 40 unique pediatric biopsy samples, this study aimed to compare the obtained results of Helicobacter pylori DNA detection using next-generation sequencing (NGS), a real-time PCR-based IVD-certified kit and an established high resolution melting re...

  • Article
  • Open Access
126 Citations
8,479 Views
22 Pages

Small Object Detection Method Based on Adaptive Spatial Parallel Convolution and Fast Multi-Scale Fusion

  • Guanqiu Qi,
  • Yuanchuan Zhang,
  • Kunpeng Wang,
  • Neal Mazur,
  • Yang Liu and
  • Devanshi Malaviya

17 January 2022

As one type of object detection, small object detection has been widely used in daily-life-related applications with many real-time requirements, such as autopilot and navigation. Although deep-learning-based object detection methods have achieved gr...

  • Article
  • Open Access
4 Citations
2,984 Views
14 Pages

15 October 2021

Pits are defects that occur during the film manufacturing process; they appear in the micrometer scale, which makes distinguishing them with the human eye difficult. Existing defect detectors have poor recognition rates for small objects or require a...

  • Article
  • Open Access
1,610 Views
21 Pages

24 September 2025

Background: This study presents a real-time mobile system for identifying mixed and partly covered foreign coins and banknotes using the You Only Look Once version 11 (YOLOv11) deep learning framework. The proposed system addresses practical challeng...

  • Article
  • Open Access
1 Citations
2,196 Views
20 Pages

On-Line Detection Method of Salted Egg Yolks with Impurities Based on Improved YOLOv7 Combined with DeepSORT

  • Dongjun Gong,
  • Shida Zhao,
  • Shucai Wang,
  • Yuehui Li,
  • Yong Ye,
  • Lianfei Huo and
  • Zongchun Bai

16 August 2024

Salted duck egg yolk, a key ingredient in various specialty foods in China, frequently contains broken eggshell fragments embedded in the yolk due to high-speed shell-breaking processes, which pose significant food safety risks. This paper presents a...

  • Feature Paper
  • Article
  • Open Access
29 Citations
5,117 Views
21 Pages

Real-Time and Deep Learning Based Vehicle Detection and Classification Using Pixel-Wise Code Exposure Measurements

  • Chiman Kwan,
  • David Gribben,
  • Bryan Chou,
  • Bence Budavari,
  • Jude Larkin,
  • Akshay Rangamani,
  • Trac Tran,
  • Jack Zhang and
  • Ralph Etienne-Cummings

One key advantage of compressive sensing is that only a small amount of the raw video data is transmitted or saved. This is extremely important in bandwidth constrained applications. Moreover, in some scenarios, the local processing device may not ha...

  • Article
  • Open Access
2,545 Views
31 Pages

18 September 2025

This paper presents a real-time smart mirror system combining multiple AI modules for multimodal health monitoring. The proposed platform integrates three core components: facial expression analysis, remote photoplethysmography (rPPG), and conversati...

  • Article
  • Open Access
12 Citations
6,446 Views
16 Pages

During the charging process of electric vehicles (EV), the circuit inside the charger plug is connected in series, the charger input voltage does not match the rated input voltage, the temperature caused by the severe heating of the charging time is...

  • Article
  • Open Access
30 Citations
6,184 Views
19 Pages

Using Temporal Covariance of Motion and Geometric Features via Boosting for Human Fall Detection

  • Syed Farooq Ali,
  • Reamsha Khan,
  • Arif Mahmood,
  • Malik Tahir Hassan and
  • Moongu Jeon

12 June 2018

Fall induced damages are serious incidences for aged as well as young persons. A real-time automatic and accurate fall detection system can play a vital role in timely medication care which will ultimately help to decrease the damages and complicatio...

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