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  • Article
  • Open Access
7 Citations
2,751 Views
18 Pages

Research on Bearing Surface Scratch Detection Based on Improved YOLOV5

  • Huakun Jia,
  • Huimin Zhou,
  • Zhehao Chen,
  • Rongke Gao and ,
  • Yang Lu and
  • Liandong Yu
  • + 1 author+ 0 author

9 May 2024

Bearings are crucial components of machinery and equipment, and it is essential to inspect them thoroughly to ensure a high pass rate. Currently, bearing scratch detection is primarily carried out manually, which cannot meet industrial demands. This...

(This article belongs to the Section Fault Diagnosis & Sensors)
  • Article
  • Open Access
7 Citations
5,948 Views
11 Pages

Image-Based Scratch Detection by Fuzzy Clustering and Morphological Features

  • Zhiying Tan,
  • Yan Ji,
  • Zhongwen Fei,
  • Xiaobin Xu and
  • Baolai Zhao

17 September 2020

Detection of scratch defects on randomly textured surfaces remains challenging due to their unnoticeable visual features. In this paper, an algorithm for piezoelectric ceramic plate surface scratch defects based on the combination of fuzzy c-means cl...

(This article belongs to the Section Mechanical Engineering)
  • Article
  • Open Access
2 Citations
4,444 Views
18 Pages

3 September 2024

In the process of scratch defect detection in textured materials, there are often problems of low efficiency in traditional manual detection, large errors in machine vision, and difficulty in distinguishing defective scratches from the background tex...

(This article belongs to the Section Applied Industrial Technologies)
  • Article
  • Open Access
778 Views
19 Pages

Machine Learning-Based Self-Induced Scratch Intensity Detection Using Feature Optimization and Multi-Channel Electromyogram Signals for Prevention of Lichenification

  • Muhammad Omar Cheema,
  • Alina Akhlaq,
  • Zia Mohy Ud Din,
  • Abdullah Al Aishan and ,
  • Hedi Ammar Guesmi and
  • Jahan Zeb Gul
  • + 1 author+ 0 author

Chronic pruritus in patients with dermatological conditions causes physical discomfort, skin breakdown, sleep disturbance, and overall decline in quality of life. Persistent scratching can lead to a condition known as lichenification, which further d...

(This article belongs to the Special Issue Applications of Machine Learning and Medical IoT in Healthcare)
  • Article
  • Open Access
2 Citations
3,606 Views
18 Pages

Visual Scratch Defect Detection System of Aluminum Flat Tube Based on Cubic Bezier Curve Fitting Using Linear Scan Camera

  • Jianbin Tang,
  • Songxiao Cao,
  • Jiaze Chen,
  • Tao Song and ,
  • Zhipeng Xu,
  • Qiaojun Zhou and
  • Qing Jiang
  • + 2 authors+ 0 author

14 June 2022

This paper presents a scratch detection system based on a cubic Bezier curve fitting using a linear scan camera. The objective was to detect the scratch defects of an aluminum flat tube stably in real-time under complex uncertain background noise. To...

(This article belongs to the Special Issue Selected Papers from FCPAE2022 and 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM2022))
  • Article
  • Open Access
1,227 Views
20 Pages

29 November 2025

The growing demand for high-precision machining and inspection in modern manufacturing has positioned machine vision as a key technology for surface defect detection. However, identifying subtle surface scratches on automotive components remains a ch...

(This article belongs to the Section Machines Testing and Maintenance)
  • Article
  • Open Access
3 Citations
2,394 Views
16 Pages

Accurate Detection for Zirconium Sheet Surface Scratches Based on Visible Light Images

  • Bin Xu,
  • Yuanhaoji Sun,
  • Jinhua Li,
  • Zhiyong Deng and ,
  • Hongyu Li,
  • Bo Zhang and
  • Kai Liu
  • + 2 authors+ 0 author

21 August 2023

Zirconium sheet has been widely used in various fields, e.g., chemistry and aerospace. The surface scratches on the zirconium sheets caused by complex processing environment have a negative impact on the performance, e.g., working life and fatigue fr...

(This article belongs to the Collection Computational Imaging and Sensing)
  • Article
  • Open Access
4 Citations
1,968 Views
23 Pages

31 December 2024

Screen defect detection has become a crucial research domain, propelled by the growing necessity of precise and effective quality control in mobile device production. This study presents the FusionScratchNet (FS-Net), a novel algorithm developed to o...

  • Article
  • Open Access
1,043 Views
12 Pages

10 November 2025

This paper proposes the Segment Structure with Controllable Realistic Synthetic (SCRS) to address the challenge of detecting scratches on laser diode chip emitting facets, which can impair laser emitting and cause chip burnout. Scratch detection is c...

(This article belongs to the Section Sensing and Imaging)
  • Article
  • Open Access
13 Citations
5,836 Views
17 Pages

Detection of Scratch Defects on Metal Surfaces Based on MSDD-UNet

  • Yan Liu,
  • Yunbai Qin,
  • Zhonglan Lin,
  • Haiying Xia and
  • Cong Wang

15 August 2024

In this work, we enhanced the U-shaped network and proposed a method for detecting scratches on metal surfaces based on the Metal Surface Defect Detection U-Net (MSDD-UNet). Initially, we integrated a downsampling approach using a Space-To-Depth modu...

(This article belongs to the Topic AI and Data-Driven Advancements in Industry 4.0)
  • Article
  • Open Access
1 Citations
3,688 Views
9 Pages

Detection of Scratch on Transparent Plate with Strong Scattering Noise by Digital Holographic Technique

  • Yeh-Wei Yu,
  • Wen-Li Wang,
  • Yong-Sheng Lin,
  • Han-Shin Ko and ,
  • Shih-Hsin Ma,
  • Ching-Cherng Sun,
  • Wen-Hsuan Wu and
  • Tsung-Hsun Yang
  • + 3 authors+ 0 author

11 September 2021

We applied a digital holographic detection technique to detect the scratches on glass surfaces with scattering noise. In the experiment, scratches with widths of 1.67 µm were generated on the front sides of the glass slides, and three different gray...

  • Article
  • Open Access
1 Citations
6,857 Views
11 Pages

1 October 2020

A non-destructive technique to inspect a scratch on all magnetic disks in the beginning process of hard disk drive (HDD) manufacturing by using CD and DVD pick-up heads as the detector is proposed. It requires a 100% disk inspection of micrometer-siz...

(This article belongs to the Special Issue Advanced Manufacturing Technologies and Their Applications)
  • Article
  • Open Access
1,207 Views
22 Pages

29 June 2026

In this study, we propose SiStNet, a single-stage deep learning architecture for vehicle detection in autonomous driving scenarios. The proposed architecture is trained entirely from scratch on domain-specific data without relying on pretrained backb...

(This article belongs to the Special Issue Applied Computer Vision and Deep Learning)
  • Article
  • Open Access
1 Citations
1,332 Views
15 Pages

Utility of Same-Modality, Cross-Domain Transfer Learning for Malignant Bone Tumor Detection on Radiographs: A Multi-Faceted Performance Comparison with a Scratch-Trained Model

  • Joe Hasei,
  • Ryuichi Nakahara,
  • Yujiro Otsuka,
  • Koichi Takeuchi and ,
  • Yusuke Nakamura,
  • Kunihiro Ikuta,
  • Shuhei Osaki,
  • Hironari Tamiya,
  • Shinji Miwa and
  • Toshifumi Ozaki
  • + 12 authors+ 7 authors

27 September 2025

Background/Objectives: Developing high-performance artificial intelligence (AI) models for rare diseases like malignant bone tumors is limited by scarce annotated data. This study evaluates same-modality cross-domain transfer learning by comparing an...

(This article belongs to the Special Issue Novel Approaches to Machine Learning and Artificial Intelligence in Cancer Research and Care (2nd Edition))
  • Article
  • Open Access
11 Citations
3,534 Views
14 Pages

A Sensorised Glove to Detect Scratching for Patients with Atopic Dermatitis

  • Cheuk-Yan Au,
  • Syen Yee Leow,
  • Chunxiao Yi,
  • Darrion Ang and ,
  • Joo Chuan Yeo,
  • Mark Jean Aan Koh and
  • Ali Asgar Saleem Bhagat
  • + 2 authors+ 0 author

12 December 2023

In this work, a lightweight compliant glove that detects scratching using data from microtubular stretchable sensors on each finger and an inertial measurement unit (IMU) on the palm through a machine learning model is presented: the SensorIsed Glove...

(This article belongs to the Special Issue Recent Developments in Sensors for Wearable Device Applications)
  • Review
  • Open Access
278 Citations
20,116 Views
41 Pages

Deep Learning for SAR Ship Detection: Past, Present and Future

  • Jianwei Li,
  • Congan Xu,
  • Hang Su,
  • Long Gao and
  • Taoyang Wang

5 June 2022

After the revival of deep learning in computer vision in 2012, SAR ship detection comes into the deep learning era too. The deep learning-based computer vision algorithms can work in an end-to-end pipeline, without the need of designing features manu...

(This article belongs to the Special Issue Synthetic Aperture Radar (SAR) Meets Deep Learning)
  • Article
  • Open Access
7 Citations
4,989 Views
17 Pages

25 January 2021

The high requirements for computing and memory are the biggest challenges in deploying existing object detection networks to embedded devices. Living lightweight object detectors directly use lightweight neural network architectures such as MobileNet...

  • Article
  • Open Access
9 Citations
3,907 Views
16 Pages

CCA-YOLO: An Improved Glove Defect Detection Algorithm Based on YOLOv5

  • Huilong Jin,
  • Ruiyan Du,
  • Liyong Qiao,
  • Lingru Cao and ,
  • Jian Yao and
  • Shuang Zhang
  • + 1 author+ 0 author

10 September 2023

Aiming to address the issue of low efficiency and a high false-detection rate in artificial defect detection in nitrile medical gloves, CCA-YOLO was proposed on the basis of YOLOv5 to realize the detection of tear and scratch defects. CCA-YOLO added...

(This article belongs to the Topic Distributed Optimization for Control)
  • Review
  • Open Access
5 Citations
2,775 Views
18 Pages

Development of Objective Measurements of Scratching as a Proxy of Atopic Dermatitis—A Review

  • Cheuk-Yan Au,
  • Neha Manazir,
  • Huzhaorui Kang and
  • Ali Asgar Saleem Bhagat

10 July 2025

Eczema, or atopic dermatitis (AD), is a chronic inflammatory skin condition characterized by persistent itching and scratching, significantly impacting patients’ quality of life. Effective monitoring of scratching behaviour is crucial for asses...

(This article belongs to the Section Biomedical Sensors)
  • Article
  • Open Access
9 Citations
3,380 Views
24 Pages

17 May 2021

The purpose of the paper is to present a new Recatest testing technique which uses a series of abrasions within a scratch and its innovative application to describe selected quantitative parameters of locally, plastically deformed substrate and coati...

(This article belongs to the Section Manufacturing Processes and Systems)
  • Article
  • Open Access
12 Citations
4,380 Views
12 Pages

12 August 2019

Ultrasonic testing is an important means to detect defacing defects, such as scratches and cracks, but when the size of these defects is smaller than the wavelength of ultrasonic waves, it is difficult to detect them using traditional methods like th...

(This article belongs to the Section Physical Sensors)
  • Article
  • Open Access
20 Citations
5,292 Views
13 Pages

29 May 2023

The organic coating of bridge steel girders is subjected to physical scratches, corrosion, and aging in natural weathering. The breakdown of the coating may cause serviceability and safety problems if left unnoticed. Conventional coating inspection i...

(This article belongs to the Special Issue Novel Coatings for Corrosion Protection)
  • Article
  • Open Access
2 Citations
919 Views
33 Pages

25 March 2025

Advanced non-destructive techniques play an important role in detecting surface defects in the context of additive manufacturing, with non-destructive technologies providing surface data for the recognition of surface defects. In this line, it is nec...

(This article belongs to the Special Issue Laser-Assisted Coating Techniques and Surface Modifications)
  • Article
  • Open Access
11 Citations
3,503 Views
13 Pages

Application of Convolutional Neural Network for Fault Diagnosis of Bearing Scratch of an Induction Motor

  • Shrinathan Esaki Muthu Pandara Kone,
  • Kenichi Yatsugi,
  • Yukio Mizuno and
  • Hisahide Nakamura

29 May 2022

The demand for the condition monitoring of induction motors is increasing in various fields, such as industry, transportation, and daily life. Bearing faults are the most common faults, and many fault diagnosis methods have been proposed using artifi...

(This article belongs to the Collection Bearing Fault Detection and Diagnosis)
  • Article
  • Open Access
19 Citations
7,055 Views
16 Pages

Identifying and Characterizing Conveyor Belt Longitudinal Rip by 3D Point Cloud Processing

  • Shichang Xu,
  • Gang Cheng,
  • Yusong Pang,
  • Zujin Jin and
  • Bin Kang

7 October 2021

Real-time and accurate longitudinal rip detection of a conveyor belt is crucial for the safety and efficiency of an industrial haulage system. However, the existing longitudinal detection methods possess drawbacks, often resulting in false alarms cau...

(This article belongs to the Section Intelligent Sensors)
  • Communication
  • Open Access
9 Citations
4,059 Views
9 Pages

Quantifying Nocturnal Scratch in Atopic Dermatitis: A Machine Learning Approach Using Digital Wrist Actigraphy

  • Yunzhao Xing,
  • Bolin Song,
  • Michelle Crouthamel,
  • Xiaotian Chen and ,
  • Sandra Goss,
  • Li Wang and
  • Jie Shen
  • + 2 authors+ 0 author

24 May 2024

Nocturnal scratching substantially impairs the quality of life in individuals with skin conditions such as atopic dermatitis (AD). Current clinical measurements of scratch rely on patient-reported outcomes (PROs) on itch over the last 24 h. Such meas...

(This article belongs to the Special Issue Artificial Neural Networks-Based Sensing and Biomedical Signal Processing Technology)
  • Article
  • Open Access
20 Citations
5,678 Views
16 Pages

15 October 2021

Data classification in streams where the underlying distribution changes over time is known to be difficult. This problem—known as concept drift detection—involves two aspects: (i) detecting the concept drift and (ii) adapting the classifier. Online...

(This article belongs to the Section Computing and Artificial Intelligence)
  • Article
  • Open Access
13 Citations
5,768 Views
15 Pages

Enhanced Vision-Based Quality Inspection: A Multiview Artificial Intelligence Framework for Defect Detection

  • Geethika Bhavanasi,
  • Davy Neven,
  • Manuel Arteaga,
  • Sina Ditzel and ,
  • Sam Dehaeck and
  • Abdellatif Bey-Temsamani
  • + 1 author+ 0 author

10 March 2025

Automated defect detection is a critical component of modern industrial quality control. However, it is particularly difficult to identify subtle defects such as scratches on metallic surfaces. Therefore, this paper investigates the effectiveness of...

(This article belongs to the Special Issue State-of-the-Art Sensors Technologies in Belgium 2024-2025)
  • Article
  • Open Access
1 Citations
3,148 Views
15 Pages

5 October 2022

There are strict requirements on the surface-shape accuracy, cracks, scratches, and subsurface damage of photomask glass substrates with the advancement of photo-etching technology. In this study, photomask quartz glass substrates were etched with th...

  • Article
  • Open Access
26 Citations
3,923 Views
18 Pages

Tribological Behavior of NiTi Alloy Produced by Spark Plasma Sintering Method

  • Sneha Samal,
  • Jana Cibulková,
  • Radim Čtvrtlík,
  • Jan Tomáštík and ,
  • Lukáš Václavek,
  • Jaromír Kopeček and
  • Petr Šittner
  • + 2 authors+ 0 author

14 October 2021

The tribological behaviors of NiTi alloy produced by the spark plasma sintering (SPS) method before and after annealing were investigated at various loading conditions via indentation, scratch, and wear tests. Indentation tests were performed by a py...

(This article belongs to the Section High-Energy Beam Surface Engineering and Coatings)
  • Article
  • Open Access
46 Citations
10,538 Views
23 Pages

Belt Tear Detection for Coal Mining Conveyors

  • Xiaoqiang Guo,
  • Xinhua Liu,
  • Hao Zhou,
  • Rafal Stanislawski and ,
  • Grzegorz Królczyk and
  • Zhixiong Li
  • + 1 author+ 0 author

17 March 2022

The belt conveyor is the most commonly used conveying equipment in the coal mining industry. As the core part of the conveyor, the belt is vulnerable to various failures, such as scratches, cracks, wear and tear. Inspection and defect detection is es...

(This article belongs to the Section A: Physics)
  • Article
  • Open Access
1 Citations
1,706 Views
21 Pages

A Forensic Odontology Application: Impact of Image Quality on CNNs for Dental Status Analysis from Orthopantomograms

  • Ajla Zymber Çeshko,
  • Ivana Savić Pavičin,
  • Denis Milošević,
  • Luka Banjšak and ,
  • Marko Subašić and
  • Marin Vodanović
  • + 1 author+ 0 author

21 September 2025

Artificial Intelligence, especially Convolutional Neural Networks (CNN), is gaining importance in health sciences, including forensic odontology. This study aimed to systematically analyze elements for automated dental status registration on OPGs usi...

(This article belongs to the Section Applied Dentistry and Oral Sciences)
  • Article
  • Open Access
1,625 Views
27 Pages

Effect of Spraying Distance on the Scratch Wear Behavior of 8YSZ and Gd-Yb-Y Co-Doped ZrO2 TBCs

  • Ali Haydar Güneş,
  • Sinan Fidan,
  • Şaban Hakan Atapek,
  • Mustafa Özgür Bora and ,
  • Satılmış Ürgün,
  • Mehmet İskender Özsoy,
  • Sedat İriç and
  • Tuğçe Yayla Yazıcı
  • + 3 authors+ 0 author

19 March 2026

This study investigates how torch standoff distance influences the microstructure, surface topography, and progressive-load scratch response of air plasma-sprayed 8YSZ and rare-earth co-doped GdYbYSZ thermal barrier coatings on an St-52 grade carbon...

(This article belongs to the Section Ceramic Coatings and Engineering Technology)
  • Article
  • Open Access
35 Citations
9,585 Views
15 Pages

The scratch test, as probably the most widespread technique for assessment of the adhesive/cohesive properties of a film–substrate system, fully depends on reliable evaluation based on assessment of critical loads for systems’ failures. T...

(This article belongs to the Special Issue Coatings Tribology)
  • Article
  • Open Access
4 Citations
3,204 Views
11 Pages

Association between Flexibility, Measured with the Back-Scratch Test, and the Odds of Oxytocin Administration during Labour and Caesarean Section

  • Virginia A. Aparicio,
  • Nuria Marín-Jiménez,
  • Jose Castro-Piñero,
  • Marta Flor-Alemany and ,
  • Irene Coll-Risco and
  • Laura Baena-García
  • + 1 author+ 0 author

4 September 2024

Objective: This study explored whether assessing flexibility levels in clinical settings might predict the odds of oxytocin administration and caesarean section to stimulate labour. Methods: Pregnant women from the GESTAFIT Project (n = 157), partici...

(This article belongs to the Special Issue Clinical Risks and Perinatal Outcomes in Pregnancy and Childbirth)
  • Article
  • Open Access
7 Citations
3,357 Views
13 Pages

Bevacizumab Induces Upregulation of Keratin 3 and VEGFA in Human Limbal Epithelial Cells in Vitro

  • Maria Notara,
  • Anna Lentzsch,
  • Thomas Clahsen,
  • Sara Behboudifard and ,
  • Gabriele Braun and
  • Claus Cursiefen
  • + 1 author+ 0 author

9 November 2019

Topical application of vascular endothelial growth factor A (VEGFA) inhibitors including Bevacizumab is used for antiangiogenic therapy at the ocular surface. While clinical studies have suggested that this approach is well-tolerated, the effect of t...

(This article belongs to the Special Issue Corneal Transplant Immunology)
  • Article
  • Open Access
11 Citations
3,988 Views
17 Pages

18 April 2023

AFM has a wide range of applications in nanostructure scanning imaging and fabrication. The wear of AFM probes has a significant impact on the accuracy of nanostructure measurement and fabrication, which is particularly significant in the process of...

(This article belongs to the Section Sensors and Robotics)
  • Article
  • Open Access
8 Citations
9,374 Views
17 Pages

3 May 2018

Increasing deployment of optical fiber networks and the need for reliable high bandwidth make the task of inspecting optical fiber connector end faces a crucial process that must not be neglected. Traditional end face inspections are usually performe...

(This article belongs to the Special Issue Sensors Signal Processing and Visual Computing)
  • Article
  • Open Access
5 Citations
6,741 Views
16 Pages

11 January 2024

The management of product quality is a crucial process in factory manufacturing. However, this approach still has some limitations, e.g., depending on the expertise of the engineer in evaluating products and being time consuming. Various approaches u...

  • Article
  • Open Access
516 Views
18 Pages

Hyperspectral Imaging Combined with Multi-Scale Feature Fusion and Improved Faster R-CNN for Automated Detection of Surface Defects on Chicken Carcasses

  • Huihui Wang,
  • Siyuan He,
  • Kangyi Ding,
  • Yuanshan Zhao and ,
  • Wenkai Wang,
  • Yang Wang and
  • Xu Zhang
  • + 2 authors+ 0 author

7 August 2026

Chicken meat holds a dominant position in the meat consumption market, and broilers are important primary processed products. However, during the slaughtering and processing of broilers, steps such as hanging, bleeding, scalding, defeathering, neck s...

(This article belongs to the Special Issue Innovations in the Meat Value Chain: Preservation, Wellness, Controls, and Sustainability)
  • Article
  • Open Access
2 Citations
2,120 Views
15 Pages

New Insights in the Nanomechanical Study of Carbon-Containing Nanocomposite Materials Based on High-Density Polyethylene

  • Todor Batakliev,
  • Evgeni Ivanov,
  • Vladimir Georgiev,
  • Verislav Angelov and ,
  • Juan Ignacio Ahuir-Torres,
  • David Mark Harvey and
  • Rumiana Kotsilkova
  • + 2 authors+ 0 author

31 October 2024

The investigation of new composite materials possessing low weight but not at the expense of their mechanical performance is of great interest in terms of reducing energy consumption in many industrial applications. This study is focused on the nanom...

(This article belongs to the Section Materials Science and Engineering)
  • Feature Paper
  • Article
  • Open Access
4 Citations
2,773 Views
14 Pages

A Low-Cost Drive and Detection Scheme for Electrowetting Display

  • Zhijie Luo,
  • Cuiling Peng,
  • Yujie Liu,
  • Baoqiang Liu and ,
  • Guofu Zhou,
  • Shuangyin Liu and
  • Ningxia Chen
  • + 2 authors+ 0 author

15 February 2023

The electrowetting display (EWD) has obtained much attention as its readability in sunlight and flexible displays. Oil motion control is an important factor for the display performance of EWD. In this paper, we propose a low-cost drive and detection...

(This article belongs to the Special Issue Processes in Electrical, Electronics and Information Engineering)
  • Article
  • Open Access
1,490 Views
26 Pages

Deep Learning–Based Corn Yield Component Estimation Under Different Nitrogen and Irrigation Rates

  • Binita Ghimire,
  • Lorena N. Lacerda,
  • Thirimachos Bourlai and
  • Guoyu Lu

The number of kernels per ear is a key yield parameter that reflects the effects of breeding and agronomic management practices on crop productivity. However, conventional manual counting is labor-intensive, time-consuming, and prone to human error....

(This article belongs to the Special Issue Application of Remote Sensing and Machine Learning in Precision Agriculture)
  • Article
  • Open Access
158 Citations
29,293 Views
18 Pages

An Automatic Surface Defect Inspection System for Automobiles Using Machine Vision Methods

  • Qinbang Zhou,
  • Renwen Chen,
  • Bin Huang,
  • Chuan Liu and ,
  • Jie Yu and
  • Xiaoqing Yu
  • + 1 author+ 0 author

4 February 2019

Automobile surface defects like scratches or dents occur during the process of manufacturing and cross-border transportation. This will affect consumers’ first impression and the service life of the car itself. In most worldwide automobile indu...

(This article belongs to the Section Physical Sensors)
  • Feature Paper
  • Article
  • Open Access
17 Citations
7,370 Views
13 Pages

A Study and Review of Effects of Botulinum Toxins on Mast Cell Dependent and Independent Pruritus

  • Roshni Ramachandran,
  • Marc J. Marino,
  • Snighdha Paul,
  • Zhenping Wang and ,
  • Nicholas L. Mascarenhas,
  • Sabine Pellett,
  • Eric A. Johnson,
  • Anna DiNardo and
  • Tony L. Yaksh
  • + 4 authors+ 0 author

23 March 2018

Pruriceptive itch originates following activation of peripheral sensory nerve terminals when pruritogens come in contact with the skin. The ability of botulinum neurotoxins (BoNTs) to attenuate transmitter release from afferent terminals provides a r...

(This article belongs to the Special Issue Botulinum Neurotoxins and Nervous System: Future Challenges for Novel Indications)
  • Article
  • Open Access
3 Citations
2,411 Views
20 Pages

18 September 2024

Defects in additive manufacturing processes are closely related to the mechanical and physical properties of the components. However, the extreme conditions of high temperatures, intense light, and powder during the manufacturing process present sign...

(This article belongs to the Special Issue New Perspectives in Optical Design)
  • Article
  • Open Access
2 Citations
1,615 Views
8 Pages

A Simple Physical Examination Predicts Cognitive Decline in Very Mild Dementia

  • Li-Han Lin,
  • Karen Y. C. Chuang,
  • Chung-Yao Hsu,
  • Nai-Ching Chen and ,
  • Jyun-Bin Huang,
  • Hsiu-Yung Pan and
  • Yao-Chung Chuang
  • + 2 authors+ 0 author

1 November 2024

Background: Different exercises have different effects upon physical fitness and cognitive domains. In this context, physical fitness behaviors have been identified as a contributing factor to cognitive decline in patients with very mild dementia. Th...

(This article belongs to the Section Personalized Therapy in Clinical Medicine)
  • Review
  • Open Access
447 Citations
32,458 Views
25 Pages

Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY

  • Tamás Czimmermann,
  • Gastone Ciuti,
  • Mario Milazzo,
  • Marcello Chiurazzi and ,
  • Stefano Roccella,
  • Calogero Maria Oddo and
  • Paolo Dario
  • + 2 authors+ 0 author

6 March 2020

This paper reviews automated visual-based defect detection approaches applicable to various materials, such as metals, ceramics and textiles. In the first part of the paper, we present a general taxonomy of the different defects that fall in two clas...

(This article belongs to the Special Issue Advanced Measurements for Industry 4.0)
  • Proceeding Paper
  • Open Access
1 Citations
1,471 Views
5 Pages

Sonic-IR, which detects defects based on the temperature rise due to frictional heating at the defect faces under ultrasonic excitation, has an advantage in the detection of closed defects. However, in the conventional sonic-IR method, an acoustic en...

(This article belongs to the Proceedings of The 17th International Workshop on Advanced Infrared Technology and Applications)
  • Article
  • Open Access
1 Citations
6,834 Views
13 Pages

A Universal Spring-Probe System for Reliable Probing of Electrochemical Lab-on-a-Chip Devices

  • Moon-Keun Lee,
  • Tae Jae Lee,
  • Ho Woon Choi,
  • Su Jeong Shin and ,
  • Jung Youn Park and
  • Seok Jae Lee
  • + 1 author+ 0 author

8 January 2014

For achieve sensitivity in lab-on-a-chip electrochemical detection, more reliable probing methods are required, especially for repeated measurements. Spring-probes are a promising candidate method which can replace needle-like probes and alligator cl...

(This article belongs to the Section Biosensors)

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