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59 Results Found

  • Article
  • Open Access
2 Citations
2,805 Views
28 Pages

Incremental Formula-Based Fix Localization

  • Quang-Ngoc Phung and
  • Eunseok Lee

30 December 2020

Automatically fixing bugs in software programs can significantly reduce the cost and improve the productivity of the software. Toward this goal, a critical and challenging problem is automatic fix localization, which identifies program locations wher...

  • Article
  • Open Access
3 Citations
2,431 Views
19 Pages

The Global Navigation Satellite System (GNSS) is widely used in various applications of UAVs (unmanned aerial vehicles) that require precise positioning or navigation. However, GNSS signals can be blocked in specific environments and are susceptible...

  • Article
  • Open Access
39 Citations
8,262 Views
15 Pages

Aiming at the problems of low localization accuracy and complicated localization methods of the automatic guided vehicle (AGV) in the current automatic storage and transportation process, a combined localization method based on the ultra-wideband (UW...

  • Article
  • Open Access
18 Citations
5,417 Views
22 Pages

Three-Dimensional Empirical AoA Localization Technique for Indoor Applications

  • Abdallah Alma’aitah,
  • Baha’ Alsaify and
  • Raed Bani-Hani

15 December 2019

Small and pervasive devices have been increasingly used to identify and track objects automatically. Consequently, several low-cost localization schemes have been proposed in the literature based on angle of arrival (AoA), time difference of arrival...

  • Article
  • Open Access
27 Citations
5,986 Views
16 Pages

Multi-Residential Activity Labelling in Smart Homes with Wearable Tags Using BLE Technology

  • Ghassem Mokhtari,
  • Amjad Anvari-Moghaddam,
  • Qing Zhang and
  • Mohanraj Karunanithi

19 March 2018

Smart home platforms show promising outcomes to provide a better quality of life for residents in their homes. One of the main challenges that exists with these platforms in multi-residential houses is activity labeling. As most of the activity senso...

  • Article
  • Open Access
6 Citations
3,769 Views
21 Pages

30 October 2019

We propose an acoustic-based framework for automatically homing an Autonomous Underwater Vehicle (AUV) to the fixed docking station (F-DS) and mobile docking station (M-DS). The proposed framework contains a simultaneous localization method of AUV an...

  • Article
  • Open Access
6 Citations
3,650 Views
23 Pages

Two-Level Information-Retrieval-Based Model for Bug Localization Based on Bug Reports

  • Shatha Alsaedi,
  • Ahmed A. A. Gad-Elrab,
  • Amin Noaman and
  • Fathy Eassa

Software bugs are a noteworthy concern for developers and maintainers. When a failure is detected late, it costs more to be fixed. To repair the bug that caused the software failure, the location of the bug must first be known. The process of finding...

  • Article
  • Open Access
889 Views
64 Pages

28 June 2025

The Gaining–Sharing Knowledge-based (GSK) algorithm is a human-inspired metaheuristic that models how people learn and disseminate knowledge across their lifetime. It has shown promising results across a range of engineering optimization proble...

  • Article
  • Open Access
75 Citations
12,586 Views
20 Pages

DEM Generation from Fixed-Wing UAV Imaging and LiDAR-Derived Ground Control Points for Flood Estimations

  • Jairo R. Escobar Villanueva,
  • Luis Iglesias Martínez and
  • Jhonny I. Pérez Montiel

20 July 2019

Geospatial products, such as digital elevation models (DEMs), are important topographic tools for tackling local flood studies. This study investigates the contribution of LiDAR elevation data in DEM generation based on fixed-wing unmanned aerial veh...

  • Article
  • Open Access
8 Citations
3,691 Views
21 Pages

7 November 2021

The automatic localization of software faults plays a critical role in assisting software professionals in fixing problems quickly. Despite various existing models for fault tolerance based on static features, localization is still challenging. By co...

  • Article
  • Open Access
10 Citations
5,256 Views
20 Pages

Experimental Evaluation of an SDR-Based UAV Localization System

  • Cristian Codău,
  • Rareș-Călin Buta,
  • Andra Păstrăv,
  • Paul Dolea,
  • Tudor Palade and
  • Emanuel Puschita

27 April 2024

UAV communications have seen a rapid rise in the last few years. The drone class of UAV has particularly become more widespread around the world, and illicit behavior using drones has become a problem. Therefore, localization, tracking, and even taki...

  • Article
  • Open Access
2 Citations
2,592 Views
17 Pages

DNCL: Hybrid DOA Estimation and NMDS Cooperative Multi-Target Localization for RFID

  • Yuting Li,
  • Yongtao Ma,
  • Chenglong Tian,
  • Dianfei Su and
  • Bo Yang

Passive radio frequency identification (RFID) tags have been widely used in logistics, supply chain, warehousing, and other fields. However, for RFID-based automatic inventory management in warehouses, the deployment of current methods is more comple...

  • Article
  • Open Access
5 Citations
2,698 Views
23 Pages

7 January 2024

Automatic extraction of building contours from high-resolution images is of great significance in the fields of urban planning, demographics, and disaster assessment. Network models based on convolutional neural network (CNN) and transformer technolo...

  • Article
  • Open Access
26 Citations
4,769 Views
23 Pages

29 December 2021

Multi-branch Networks (MBNs) have been successfully applied to myocardial infarction (MI) diagnosis using 12-lead electrocardiograms. However, most existing MBNs share a fixed architecture. The absence of architecture optimization has become a signif...

  • Article
  • Open Access
12 Citations
3,643 Views
12 Pages

19 October 2022

The aim of this study was to determine if a convolutional neural network (CNN) can be trained to automatically detect and localize cervical carotid artery calcifications (CACs) in CBCT. A total of 56 CBCT studies (15,257 axial slices) were utilized t...

  • Article
  • Open Access
7 Citations
2,683 Views
15 Pages

13 June 2022

Active infrared thermography is an attractive and highly reliable technique used for the non-destructive evaluation of test objects. In this paper, defect detection on the subsurface of the STS304 metal specimen was performed by applying the line-sca...

  • Article
  • Open Access
13 Citations
4,452 Views
15 Pages

A Noise Tolerant Spread Spectrum Sound-Based Local Positioning System for Operating a Quadcopter in a Greenhouse

  • Zichen Huang,
  • Lok Wai Jacky Tsay,
  • Tomoo Shiigi,
  • Xunyue Zhao,
  • Hiroaki Nakanishi,
  • Tetsuhito Suzuki,
  • Yuichi Ogawa and
  • Naoshi Kondo

1 April 2020

Quadcopters are beginning to play an important role in precision agriculture. In order to localize and operate the quadcopter automatically in complex agricultural settings, such as a greenhouse, a robust positioning system is needed. In previous res...

  • Article
  • Open Access
6 Citations
3,415 Views
24 Pages

25 January 2021

An improved version of the Local-Gradient-Modified (LG-Mod) algorithm for Sea Surface Wind (SSW) directions retrieval by means of Synthetic Aperture Radar (SAR) images is presented. A “local” multi-scale analysis of wind-aligned SAR patte...

  • Feature Paper
  • Article
  • Open Access
30 Citations
5,677 Views
9 Pages

Application of Multilayer Perceptron with Automatic Relevance Determination on Weed Mapping Using UAV Multispectral Imagery

  • Afroditi A. Tamouridou,
  • Thomas K. Alexandridis,
  • Xanthoula E. Pantazi,
  • Anastasia L. Lagopodi,
  • Javid Kashefi,
  • Dimitris Kasampalis,
  • Georgios Kontouris and
  • Dimitrios Moshou

11 October 2017

Remote sensing techniques are routinely used in plant species discrimination and of weed mapping. In the presented work, successful Silybum marianum detection and mapping using multilayer neural networks is demonstrated. A multispectral camera (green...

  • Article
  • Open Access
1 Citations
1,130 Views
18 Pages

17 June 2025

This paper studies the problem of time-varying formation-tracking control for a class of nonlinear multi-agent systems. A distributed adaptive controller that avoids the global non-zero minimum eigenvalue is designed for heterogeneous systems in whic...

  • Article
  • Open Access
22 Citations
9,585 Views
19 Pages

15 August 2017

With the increasing popularity of RGB-depth (RGB-D) sensor, research on the use of RGB-D sensors to reconstruct three-dimensional (3D) indoor scenes has gained more and more attention. In this paper, an automatic point cloud registration algorithm is...

  • Article
  • Open Access
22 Citations
6,040 Views
18 Pages

An Improved Spatiotemporal Data Fusion Method Using Surface Heterogeneity Information Based on ESTARFM

  • Mengxue Liu,
  • Xiangnan Liu,
  • Xiaobin Dong,
  • Bingyu Zhao,
  • Xinyu Zou,
  • Ling Wu and
  • Hejie Wei

9 November 2020

The use of the spatiotemporal data fusion method as an effective data interpolation method has received extensive attention in remote sensing (RS) academia. The enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM) is one of the m...

  • Article
  • Open Access
168 Views
40 Pages

Robust Disturbance Reconstruction and Compensation for Nonlinear First-Order System

  • Mikulas Huba,
  • Pavol Bistak,
  • Damir Vrancic and
  • Miroslav Halas

9 January 2026

The article discusses the control of nonlinear processes with first-order dominant dynamics, focusing on implementation using modern hardware available in various programmable devices and embedded systems. The first two approaches rely on linearizati...

  • Article
  • Open Access
6 Citations
2,914 Views
15 Pages

20 October 2023

The extent of myocardial infarction (MI) can be evaluated thanks to delayed enhancement (DE) cardiac MRI. DE MRI is an imaging technique acquired several minutes after the injection of a contrast agent where MI appears with a bright signal. The autom...

  • Article
  • Open Access
73 Citations
4,451 Views
17 Pages

Research on Apple Object Detection and Localization Method Based on Improved YOLOX and RGB-D Images

  • Tiantian Hu,
  • Wenbo Wang,
  • Jinan Gu,
  • Zilin Xia,
  • Jian Zhang and
  • Bo Wang

8 July 2023

The vision-based fruit recognition and localization system is the basis for the automatic operation of agricultural harvesting robots. Existing detection models are often constrained by high complexity and slow inference speed, which do not meet the...

  • Article
  • Open Access
46 Citations
9,290 Views
18 Pages

18 September 2018

We introduce a novel method for indoor localization with the user’s own smartphone by learning personalized walking patterns outdoors. Most smartphone and pedestrian dead reckoning (PDR)-based indoor localization studies have used an operation...

  • Article
  • Open Access
4 Citations
3,221 Views
16 Pages

5 January 2023

We develop a workflow, implemented as a plugin to the molecular visualization program VMD, that can fix ring penetrations with minimal user input. LongBondEliminator, detects ring piercing artifacts by the long, strained bonds that are the local mini...

  • Article
  • Open Access
34 Citations
5,244 Views
13 Pages

25 October 2018

In this paper, we present and discuss the preliminary tools we devised for the automatic recognition of burnt areas and burn severity developed in the framework of the EU-funded SERV_FORFIRE project. The project is focused on the set up of operationa...

  • Article
  • Open Access
354 Citations
28,021 Views
17 Pages

Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest

  • Midhun Mohan,
  • Carlos Alberto Silva,
  • Carine Klauberg,
  • Prahlad Jat,
  • Glenn Catts,
  • Adrián Cardil,
  • Andrew Thomas Hudak and
  • Mahendra Dia

11 September 2017

Advances in Unmanned Aerial Vehicle (UAV) technology and data processing capabilities have made it feasible to obtain high-resolution imagery and three dimensional (3D) data which can be used for forest monitoring and assessing tree attributes. This...

  • Article
  • Open Access
7 Citations
6,439 Views
20 Pages

Self-Configuring Indoor Localization Based on Low-Cost Ultrasonic Range Sensors

  • Can Basaran,
  • Jong-Wan Yoon,
  • Sang Hyuk Son and
  • Taejoon Park

10 October 2014

In smart environments, target tracking is an essential service used by numerous applications from activity recognition to personalized infotaintment. The target tracking relies on sensors with known locations to estimate and keep track of the path ta...

  • Article
  • Open Access
148 Views
16 Pages

31 January 2026

The on-machine measurement (OMM) of aero-engine blades is a critical technology for enabling closed-loop manufacturing. However, when using line laser sensors with a fixed scanning pose to measure free-form surfaces, the variation in surface geometry...

  • Article
  • Open Access
3 Citations
3,162 Views
20 Pages

A Novel Sequence-to-Sequence Prediction Model for Lithium-Ion Battery Capacity Degradation Based on Improved Particle Swarm Optimization

  • Dinghong Chen,
  • Weige Zhang,
  • Caiping Zhang,
  • Bingxiang Sun,
  • Haoze Chen,
  • Sijia Yang and
  • Xinwei Cong

The state of health (SOH) evaluation and remaining useful life (RUL) prediction for lithium-ion batteries (LIBs) are crucial for health management. This paper proposes a novel sequence-to-sequence (Seq2Seq) prediction method for LIB capacity degradat...

  • Article
  • Open Access
1,193 Views
13 Pages

The electroencephalogram (EEG), widely used for measuring the brain’s electrophysiological activity, has been extensively applied in the automatic detection of epileptic seizures. However, several challenges remain unaddressed in prior studies...

  • Article
  • Open Access
114 Views
38 Pages

Optimizing the Bounds of Neural Networks Using a Novel Simulated Annealing Method

  • Ioannis G. Tsoulos,
  • Vasileios Charilogis and
  • Dimitrios Tsalikakis

Artificial neural networks are reliable machine learning models that have been applied to a multitude of practical and scientific applications in recent decades. Among these applications, there are examples from the areas of physics, chemistry, medic...

  • Review
  • Open Access
8 Citations
2,596 Views
37 Pages

18 August 2024

The use of mobile robots in substations improves maintenance efficiency and ensures the personal safety of staff working at substations, which is a trend in the development of technologies. Strong electric and solid magnetic fields around high-voltag...

  • Article
  • Open Access
5 Citations
3,938 Views
17 Pages

Analysis of the Practical Implementation of Flicker Measurement Coprocessor for AMI Meters

  • Krzysztof Kołek,
  • Andrzej Firlit,
  • Krzysztof Piątek and
  • Krzysztof Chmielowiec

12 March 2021

Monitoring power quality (PQ) indicators is an important part of modern power grids’ maintenance. Among different PQ indicators, flicker severity coefficients Pst and Plt are measures of voltage fluctuations. In state-of-the-art PQ measuring devices,...

  • Article
  • Open Access
2 Citations
4,380 Views
27 Pages

Designing, implementing, and maintaining network policies that protect from internal and external threats is a highly non-trivial task. Often, troubleshooting networks consisting of diverse entities realizing complex policies is even harder. Software...

  • Article
  • Open Access
1,752 Views
24 Pages

7 November 2024

For reservoir structural models with obvious nonstationary and heterogeneous characteristics, traditional geostatistical simulation methods tend to produce suboptimal results. Additionally, these methods are computationally resource-intensive in cons...

  • Article
  • Open Access
10 Citations
6,766 Views
19 Pages

Automated Traffic Surveillance Using Existing Cameras on Transit Buses

  • Keith A. Redmill,
  • Ekim Yurtsever,
  • Rabi G. Mishalani,
  • Benjamin Coifman and
  • Mark R. McCord

26 May 2023

Millions of commuters face congestion as a part of their daily routines. Mitigating traffic congestion requires effective transportation planning, design, and management. Accurate traffic data are needed for informed decision making. As such, operati...

  • Article
  • Open Access
1 Citations
1,037 Views
17 Pages

19 October 2025

(1) Background. Printed circuit board (PCB) inspection is increasingly constrained by the cost and latency of reliable labels, owing to tiny/low-contrast defects embedded in complex backgrounds and severe class imbalance. (2) Methods. We proposed a s...

  • Article
  • Open Access
4 Citations
1,906 Views
18 Pages

31 October 2023

Financial institutions utilize data for the intelligent assessment of personal credit. However, the privacy of financial data is gradually increasing, and the training data of a single financial institution may exhibit problems regarding low data vol...

  • Article
  • Open Access
30 Citations
3,045 Views
18 Pages

PHAM-YOLO: A Parallel Hybrid Attention Mechanism Network for Defect Detection of Meter in Substation

  • Hao Dong,
  • Mu Yuan,
  • Shu Wang,
  • Long Zhang,
  • Wenxia Bao,
  • Yong Liu and
  • Qingyuan Hu

30 June 2023

Accurate detection and timely treatment of component defects in substations is an important measure to ensure the safe operation of power systems. In this study, taking substation meters as an example, a dataset of common meter defects, such as a fuz...

  • Article
  • Open Access
1,134 Views
17 Pages

Federated learning has been widely applied in automatic speech recognition. However, variations in speaker behaviors result in a significant data imbalance across client devices. Conventional federated speech recognition algorithms typically use fixe...

  • Article
  • Open Access
1 Citations
2,110 Views
31 Pages

The current growing interest in lighter-than-air platforms (LTA) has been fueled by the significant development of some enabling technologies, in particular electric motors and on-board electronics. The localization of multiple thrust forces in the l...

  • Article
  • Open Access
2 Citations
1,093 Views
23 Pages

26 March 2025

Trend forecasting and early anomaly warnings are important for avoiding aircraft engine failures or accidents. This study proposes a trend forecasting method based on enhanced Slice-level Adaptive Normalization (SAN) using a Long Short-Term Memory (L...

  • Article
  • Open Access
1 Citations
1,132 Views
20 Pages

Traditional median filtering with a fixed window easily leads to edge blurring and adaptive median filtering requires manual presetting of the maximum window parameter and has insufficient retention of details when dealing with high-density salt-and-...

  • Article
  • Open Access
2 Citations
2,314 Views
16 Pages

12 June 2022

Lane detection, as a basic environmental perception task, plays a significant role in the safety of automatic driving. Modern lane detection methods have obtained a better performance in most scenarios, but many are unsatisfactory in various scenario...

  • Article
  • Open Access
300 Views
19 Pages

2 February 2026

Reliable object detection in marine radar imagery is critical for maritime situational awareness, collision avoidance, and autonomous navigation. However, it remains challenging due to sea clutter, small targets, and interference from fixed navigatio...

  • Article
  • Open Access
4 Citations
1,859 Views
34 Pages

A Remote Sensing Image Object Detection Model Based on Improved YOLOv11

  • Aili Wang,
  • Zhijia Fu,
  • Yanran Zhao and
  • Haisong Chen

Due to the challenges posed by high resolution, substantial background noise, significant object scale variation, and long-tailed data distribution in remote sensing images, traditional techniques often struggle to maintain both high accuracy and low...

  • Article
  • Open Access
26 Citations
3,929 Views
23 Pages

24 June 2021

Automatic building extraction has been applied in many domains. It is also a challenging problem because of the complex scenes and multiscale. Deep learning algorithms, especially fully convolutional neural networks (FCNs), have shown robust feature...

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