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280 Results Found

  • Article
  • Open Access
1 Citations
2,303 Views
22 Pages

Deep Learning-Based Automatic Segmentation and Analysis of Mitochondrial Damage by Zika Virus and SARS-CoV-2

  • Brianda Alexia Agundis-Tinajero,
  • Miguel Ángel Coronado-Ipiña,
  • Ignacio Lara-Hernández,
  • Rodrigo Aparicio-Antonio and ,
  • Anita Aguirre-Barbosa,
  • Gisela Barrera-Badillo,
  • Nidia Aréchiga-Ceballos,
  • Irma López-Martínez,
  • Claudia G Castillo and
  • Aldo Rodrigo Mejía-Rodríguez
  • + 7 authors+ 2 authors

19 September 2025

Viruses can induce various mitochondrial morphological changes, which are associated with the type of immune response. Therefore, characterization and analysis of mitochondrial ultrastructural changes could provide insights into the kind of immune re...

(This article belongs to the Section Animal Viruses)
  • Article
  • Open Access
5 Citations
2,944 Views
15 Pages

Analytical Method for Bridge Damage Using Deep Learning-Based Image Analysis Technology

  • Kukjin Jang,
  • Taegeon Song,
  • Dasran Kim,
  • Jinsick Kim and ,
  • Byeongsoo Koo,
  • Moonju Nam,
  • Kyungil Kwak,
  • Jooyeoun Lee and
  • Myoungsug Chung
  • + 4 authors+ 0 author

28 October 2023

Bridge inspection methods using unmanned vehicles have been attracting attention. In this study, we devised an efficient and reliable method for visually inspecting bridges using unmanned vehicles. For this purpose, we developed the BIRD U-Net algori...

(This article belongs to the Special Issue Advances in Big Data Analysis and Visualization)
  • Article
  • Open Access
9 Citations
2,868 Views
17 Pages

Clustering-Based Classification of Polygonal Wheels in a Railway Freight Vehicle Using a Wayside System

  • António Guedes,
  • Rúben Silva,
  • Diogo Ribeiro,
  • Jorge Magalhães and ,
  • Tomás Jorge,
  • Cecília Vale,
  • Andreia Meixedo,
  • Araliya Mosleh and
  • Pedro Montenegro
  • + 4 authors+ 0 author

25 April 2024

Polygonal wheels are one of the most common defects in train wheels, causing a reduction in comfort levels for passengers and a higher degradation of vehicle and track components. With the aim of contributing to the safety and reliability of railway...

(This article belongs to the Section Civil Engineering)
  • Article
  • Open Access
2,891 Views
19 Pages

Damage Analysis of Rolling Stock Automatic Coupler under Cyclic Loads

  • Vaidas Lukoševičius,
  • Žilvinas Bazaras,
  • Donata Putnaitė and
  • Eglė Bazaraitė

6 October 2024

To ensure the operational safety of the automatic couplers of a rolling stock subjected to cyclic loading, reliability and residual service life must be determined. This paper involved the prediction of the durability of the automatic coupler SA3 by...

(This article belongs to the Section Transportation and Future Mobility)
  • Article
  • Open Access
14 Citations
2,817 Views
19 Pages

11 January 2024

It is important to maintain the safety of road driving by automatically performing a series of processes to automatically measure and repair damage to the road pavement. However, road pavements include not only damages such as longitudinal cracks, tr...

(This article belongs to the Section Sensing and Imaging)
  • Article
  • Open Access
34 Citations
5,034 Views
20 Pages

10 May 2023

In the era of the first Industrial Revolution, many buildings were built with red bricks, and the heritage buildings built at that time are more than 100 years old. In these old heritage buildings, damage is bound to occur due to chemical and physica...

  • Article
  • Open Access
11 Citations
3,547 Views
25 Pages

Automatic Detection of Real Damage in Operating Tie-Rods

  • Francescantonio Lucà,
  • Stefano Manzoni,
  • Alfredo Cigada,
  • Silvia Barella and ,
  • Andrea Gruttadauria and
  • Francesco Cerutti
  • + 1 author+ 0 author

10 February 2022

Many researchers have proposed vibration-based damage-detection approaches for continuous structural health monitoring. Translation to real applications is not always straightforward because the proposed methods have mostly been developed and validat...

(This article belongs to the Topic Recent Advances in Structural Health Monitoring)
  • Article
  • Open Access
19 Citations
3,073 Views
29 Pages

Advanced Semi-Automatic Approach for Identifying Damaged Surfaces in Cultural Heritage Sites: Integrating UAVs, Photogrammetry, and 3D Data Analysis

  • Tudor Caciora,
  • Alexandru Ilieș,
  • Grigore Vasile Herman,
  • Zharas Berdenov and ,
  • Bahodirhon Safarov,
  • Bahadur Bilalov,
  • Dorina Camelia Ilieș,
  • Ștefan Baias and
  • Thowayeb H. Hassan
  • + 4 authors+ 0 author

20 August 2024

The analysis and preservation of the cultural heritage sites are critical for maintaining their historical and architectural integrity, as they can be damaged by various factors, including climatic, geological, geomorphological, and human actions. Ba...

(This article belongs to the Special Issue Digital 3D Reconstruction in Urban Culture Heritage Conservation Using Remote Sensing)
  • Correction
  • Open Access
665 Views
1 Page

Correction: Agundis-Tinajero et al. Deep Learning-Based Automatic Segmentation and Analysis of Mitochondrial Damage by Zika Virus and SARS-CoV-2. Viruses 2025, 17, 1272

  • Brianda Alexia Agundis-Tinajero,
  • Miguel Ángel Coronado-Ipiña,
  • Ignacio Lara-Hernández,
  • Rodrigo Aparicio-Antonio and ,
  • Anita Aguirre-Barbosa,
  • Gisela Barrera-Badillo,
  • Nidia Aréchiga-Ceballos,
  • Irma López-Martínez,
  • Claudia G Castillo and
  • Aldo Rodrigo Mejía-Rodríguez
  • + 7 authors+ 2 authors

20 November 2025

In the original publication [1], Figure 1b was previously published by the authors in the PLoS One, but the citation (reference 14) was inadvertently omitted [...]

  • Article
  • Open Access
63 Citations
8,137 Views
22 Pages

24 June 2020

Wildfire damage severity census is a crucial activity for estimating monetary losses and for planning a prompt restoration of the affected areas. It consists in assigning, after a wildfire, a numerical damage/severity level, between 0 and 4, to each...

(This article belongs to the Special Issue Intelligence Systems and Sensors)
  • Feature Paper
  • Article
  • Open Access
18 Citations
5,634 Views
29 Pages

This paper presents a novel approach for automatic, preliminary detection of damage in concrete structures using ground-based terrestrial laser scanners. The method is based on computation of defect-sensitive features such as the surface curvature, s...

(This article belongs to the Special Issue Geospatial Monitoring with Hyperspatial Point Clouds)
  • Article
  • Open Access
11 Citations
3,056 Views
12 Pages

Research on Wind Turbine Blade Damage Fault Diagnosis Based on GH Bladed

  • Zhitai Xing,
  • Yan Jia,
  • Lei Zhang,
  • Xiaowen Song and ,
  • Yanfeng Zhang,
  • Jianxin Wu,
  • Zekun Wang,
  • Jicai Guo and
  • Qingan Li
  • + 4 authors+ 0 author

With the increasing installed capacity of wind turbines, ensuring the safe operation of wind turbines is of great significance. However, the failure of wind turbines is still a severe problem, especially as blade damage can cause serious harm. To det...

(This article belongs to the Section Ocean Engineering)
  • Article
  • Open Access
7 Citations
3,617 Views
17 Pages

OBIA-Based Extraction of Artificial Terrace Damages in the Loess Plateau of China from UAV Photogrammetry

  • Xuan Fang,
  • Jincheng Li,
  • Ying Zhu,
  • Jianjun Cao and ,
  • Jiaming Na,
  • Sheng Jiang and
  • Hu Ding
  • + 2 authors+ 0 author

Terraces, which are typical artificial landforms found around world, are of great importance for agricultural production and soil and water conservation. However, due to the lack of maintenance, terrace damages often occur and affect the local flow p...

(This article belongs to the Special Issue Geomorphometry and Terrain Analysis)
  • Article
  • Open Access
111 Citations
16,781 Views
28 Pages

Automatic Detection of Earthquake-Damaged Buildings by Integrating UAV Oblique Photography and Infrared Thermal Imaging

  • Rui Zhang,
  • Heng Li,
  • Kaifeng Duan,
  • Shucheng You and ,
  • Ke Liu,
  • Futao Wang and
  • Yong Hu
  • + 2 authors+ 0 author

13 August 2020

Extracting damage information of buildings after an earthquake is crucial for emergency rescue and loss assessment. Low-altitude remote sensing by unmanned aerial vehicles (UAVs) for emergency rescue has unique advantages. In this study, we establish...

(This article belongs to the Special Issue Advances in Remote Sensing for Disaster Research: Methodologies and Applications)
  • Article
  • Open Access
14 Citations
3,783 Views
18 Pages

19 September 2024

Applying unmanned aerial vehicles (UAVs) and vision-based analysis methods to detect bridge surface damage significantly improves inspection efficiency, but the existing techniques have difficulty in accurately locating damage, making it difficult to...

(This article belongs to the Special Issue Intelligence Techniques Applied in Infrastructure, Engineering and Construction)
  • Article
  • Open Access
28 Citations
6,450 Views
24 Pages

10 March 2022

To alleviate the workload in prevailing expert-based onsite inspection, a vision-based method using state-of-the-art deep learning architectures is proposed to automatically detect ceiling damage in large-span structures. The dataset consists of 914...

  • Article
  • Open Access
27 Citations
7,682 Views
19 Pages

Towards Interpretable Machine Learning for Automated Damage Detection Based on Ultrasonic Guided Waves

  • Christopher Schnur,
  • Payman Goodarzi,
  • Yevgeniya Lugovtsova,
  • Jannis Bulling and ,
  • Jens Prager,
  • Kilian Tschöke,
  • Jochen Moll,
  • Andreas Schütze and
  • Tizian Schneider
  • + 4 authors+ 0 author

5 January 2022

Data-driven analysis for damage assessment has a large potential in structural health monitoring (SHM) systems, where sensors are permanently attached to the structure, enabling continuous and frequent measurements. In this contribution, we propose a...

(This article belongs to the Special Issue Smart Sensors for Damage Detection)
  • Article
  • Open Access
678 Views
14 Pages

28 February 2026

To address the prevalent challenges of limited labelled data and indistinct damage features in the domain of damage identification, an unsupervised damage identification method has been developed. The method is based on a multi-head convolutional aut...

(This article belongs to the Special Issue Long-Term Durability Performance of Steel-Reinforced Concrete and Steel-Fiber-Reinforced Concrete)
  • Article
  • Open Access
4 Citations
3,078 Views
12 Pages

Quantitative Assessment of Ciliary Ultrastructure with the Use of Automatic Analysis: PCD Quant

  • Andrea Felšöová,
  • Tibor Sloboda,
  • Lukáš Hudec,
  • Miroslav Koblížek and ,
  • Petr Pohunek,
  • Vendula Martinů,
  • Žofia Varényiová,
  • Simona Kadlecová and
  • Jiří Uhlík
  • + 4 authors+ 0 author

The ciliary ultrastructure can be damaged in various situations. Such changes include primary defects found in primary ciliary dyskinesia (PCD) and secondary defects developing in secondary ciliary dyskinesia (SCD). PCD is a genetic disease resulting...

(This article belongs to the Special Issue Progress in Diagnosing and Managing Primary Ciliary Dyskinesia)
  • Article
  • Open Access
1 Citations
232 Views
22 Pages

23 September 2026

To address the difficulty in continuously and accurately quantifying the time-dependent damage size of targets under coupled laser–tangential airflow action, this paper proposes a piecewise exponential damage inversion modeling method combining...

(This article belongs to the Section Lasers, Light Sources and Sensors)
  • Article
  • Open Access
8 Citations
3,761 Views
16 Pages

4 October 2019

Image analysis techniques have been applied to measure the displacements, strain field, and crack distribution of structures in the laboratory environment, and present strong potential for use in structural health monitoring applications. Compared wi...

(This article belongs to the Special Issue Optical Sensors for Structural Health Monitoring)
  • Article
  • Open Access
13 Citations
4,529 Views
16 Pages

Stress and Fatigue Analysis of Picking Device Gears for a 2.6 kW Automatic Pepper Transplanter

  • Md Nafiul Islam,
  • Md Zafar Iqbal,
  • Milon Chowdhury,
  • Mohammod Ali and ,
  • Kiraga Shafik,
  • Md Shaha Nur Kabir,
  • Dae-Hyun Lee and
  • Sun-Ok Chung
  • + 3 authors+ 0 author

3 March 2021

A seedling picking device is an essential component for an automatic transplanter to automatically convey the seedling to the dibbling part. It is necessary to find the appropriate material and dimensions for the picking device gears to avoid mechani...

(This article belongs to the Special Issue Fracture Mechanics – Theory, Modeling and Applications)
  • Article
  • Open Access
42 Citations
5,203 Views
11 Pages

Detection of Invisible Damages in ‘Rojo Brillante’ Persimmon Fruit at Different Stages Using Hyperspectral Imaging and Chemometrics

  • Sandra Munera,
  • Alejandro Rodríguez-Ortega,
  • Nuria Aleixos,
  • Sergio Cubero and ,
  • Juan Gómez-Sanchis and
  • José Blasco
  • + 1 author+ 0 author

13 September 2021

The main cause of flesh browning in ‘Rojo Brillante’ persimmon fruit is mechanical damage caused during harvesting and packing. Innovation and research on nondestructive techniques to detect this phenomenon in the packing lines are necessary because...

(This article belongs to the Section Food Quality and Safety)
  • Article
  • Open Access
5 Citations
3,498 Views
21 Pages

26 August 2022

This study proposes a statistical approach based on vibration energy at damage to detect multiple damages occurring in roller bearings. The analysis was performed at four different rotating speeds—1002, 1500, 2400, and 3000 RPM—following...

(This article belongs to the Special Issue Machine Diagnostics and Vibration Analysis)
  • Article
  • Open Access
2 Citations
2,719 Views
17 Pages

6 November 2022

As ship collisions and grounding accidents lead to human injury and damage to the environment and property, more accurate predictions of structural damage to ships under impact loads are needed. Currently, to determine structural behaviors, finite el...

(This article belongs to the Special Issue Ship Collision Risk Assessment)
  • Article
  • Open Access
31 Citations
3,832 Views
18 Pages

Design and Experiment of Dual-Row Seedling Pick-Up Device for High-Speed Automatic Transplanting Machine

  • Rencai Yue,
  • Mengjiao Yao,
  • Tengfei Zhang,
  • Jiawei Shi and ,
  • Jinhao Zhou and
  • Jianping Hu
  • + 1 author+ 0 author

To address the inefficiency and instability of automatic transplanting machines, a dual-row seedling pick-up device and its corresponding control system were developed. Existing seedling end-effectors are primarily mechanically controlled, and the se...

(This article belongs to the Section Agricultural Technology)
  • Review
  • Open Access
8 Citations
7,962 Views
12 Pages

Algorithms for Computerized Fetal Heart Rate Diagnosis with Direct Reporting

  • Kazuo Maeda,
  • Yasuaki Noguchi,
  • Masaji Utsu and
  • Takashi Nagassawa

29 June 2015

Aims: Since pattern classification of fetal heart rate (FHR) was subjective and enlarged interobserver difference, objective FHR analysis was achieved with computerized FHR diagnosis. Methods: The computer algorithm was composed of an experts’ knowle...

  • Article
  • Open Access
43 Citations
6,988 Views
19 Pages

1 January 2020

Remote sensing, particularly using synthetic aperture radar (SAR) systems, can be an effective tool in detecting and assessing the area and amount of building damages caused by earthquake or tsunami. Several studies have provided experimental evidenc...

(This article belongs to the Section Environmental Remote Sensing)
  • Article
  • Open Access
6 Citations
2,147 Views
24 Pages

27 July 2023

The relationship between the macroscopic mechanical properties of lightweight aggregate concrete and its microstructure is a hot topic in the discipline of concrete materials. It is very meaningful to provide an efficient numerical analysis method to...

  • Article
  • Open Access
15 Citations
4,054 Views
20 Pages

Convolutional Neural Networks for Segmenting Cerebellar Fissures from Magnetic Resonance Imaging

  • Robin Cabeza-Ruiz,
  • Luis Velázquez-Pérez,
  • Alejandro Linares-Barranco and
  • Roberto Pérez-Rodríguez

10 February 2022

The human cerebellum plays an important role in coordination tasks. Diseases such as spinocerebellar ataxias tend to cause severe damage to the cerebellum, leading patients to a progressive loss of motor coordination. The detection of such damages ca...

(This article belongs to the Topic Scientific Advances in STEM: Synergies to Achieve Success, 2nd Volume)
  • Article
  • Open Access
58 Citations
7,892 Views
15 Pages

20 January 2021

The crack ratio is one of the indices used to quantitatively evaluate the soundness of asphalt pavement. However, since the inspection of pavement requires much labor and cost, automatic inspection of pavement damage by image analysis is required in...

(This article belongs to the Special Issue Machine Learning Techniques Applied to Geospatial Big Data)
  • Article
  • Open Access
3 Citations
2,268 Views
19 Pages

16 July 2024

Background: Humans perceive and interpret the world through the lens of self-reference processes, typically facilitating enhanced performance for the task at hand. However, this research has predominantly emphasized the automatic facet of self-refere...

(This article belongs to the Special Issue Advances in Geriatric Diseases)
  • Article
  • Open Access
9 Citations
3,021 Views
24 Pages

Enhancing the Damage Detection and Classification of Unknown Classes with a Hybrid Supervised–Unsupervised Approach

  • Lorenzo Stagi,
  • Lorenzo Sclafani,
  • Eleonora M. Tronci,
  • Raimondo Betti and ,
  • Silvia Milana,
  • Antonio Culla,
  • Nicola Roveri and
  • Antonio Carcaterra
  • + 3 authors+ 0 author

Most damage-assessment strategies for dynamic systems only distinguish between undamaged and damaged conditions without recognizing the level or type of damage or considering unseen conditions. This paper proposes a novel framework for structural hea...

(This article belongs to the Special Issue Advances in Structural Health Monitoring of the Built Environment)
  • Article
  • Open Access
16 Citations
7,939 Views
18 Pages

Automated Detection of Tetranychus urticae Koch in Citrus Leaves Based on Colour and VIS/NIR Hyperspectral Imaging

  • María Gyomar Gonzalez-Gonzalez,
  • Jose Blasco,
  • Sergio Cubero and
  • Patricia Chueca

18 May 2021

Tetranychus urticae Koch is an important citrus pest that produces chlorotic spots on the leaves and scars on the fruit of affected trees. It is detected by visual inspection of the leaves. This work studies the potential of colour and hyperspectral...

(This article belongs to the Special Issue Application of Computer Vision on Quality Monitoring of Agricultural Products)
  • Article
  • Open Access
12 Citations
5,435 Views
22 Pages

From Building Information Modeling to Building Energy Modeling: Optimization Study for Efficient Transformation

  • Na An,
  • Xin Li,
  • Huaqiu Yang,
  • Xiufeng Pang and ,
  • Guoheng Gao and
  • Ding Ding
  • + 1 author+ 0 author

8 August 2024

The conversion from building information modeling (BIM) to building energy modeling (BEM) based on the industry foundation classes (IFC) data standard is a crucial step for efficient building energy design and energy performance analysis. The scope e...

(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
  • Article
  • Open Access
11 Citations
7,642 Views
23 Pages

Wave Mode Identification of Acoustic Emission Signals Using Phase Analysis

  • Maria Barroso-Romero,
  • Daniel Gagar,
  • Shashank Pant and
  • Marcias Martinez

15 June 2019

Acoustic Emission (AE) monitoring can be used to detect and locate structural damage such as growing fatigue cracks. The accuracy of damage location and consequently the inference of its significance for damage assessment is dependent on the wave pro...

  • Article
  • Open Access
18 Citations
4,086 Views
16 Pages

A Comparison of Deep Learning Algorithms for Anomaly Detection in Discrete Mechanical Systems

  • Francesco Morgan Bono,
  • Luca Radicioni,
  • Simone Cinquemani and
  • Gianluca Bombaci

5 May 2023

The application of intelligent systems for structural health monitoring is investigated. A change in the nominal configuration can be related to a structural defect that has to be monitored before it reaches a critical condition. Evidently, the abili...

(This article belongs to the Special Issue Advances in Geotechnologies in Infrastructure Engineering)
  • Article
  • Open Access
5 Citations
2,670 Views
30 Pages

12 July 2024

The museum system is exposed to a high risk of seismic hazards. However, it is difficult to carry out seismic hazard prevention to protect cultural relics in collections due to the lack of real data and diverse types of seismic hazards. To address th...

(This article belongs to the Topic Applications in Image Analysis and Pattern Recognition)
  • Article
  • Open Access
14 Citations
6,553 Views
13 Pages

Analysis and Detection of Erosion in Wind Turbine Blades

  • Josué Enríquez Zárate,
  • María de los Ángeles Gómez López,
  • Javier Alberto Carmona Troyo and
  • Leonardo Trujillo

This paper studies erosion at the tip of wind turbine blades by considering aerodynamic analysis, modal analysis and predictive machine learning modeling. Erosion can be caused by several factors and can affect different parts of the blade, reducing...

(This article belongs to the Special Issue Numerical and Evolutionary Optimization 2021)
  • Article
  • Open Access
25 Citations
4,316 Views
16 Pages

10 February 2021

Structural members can be damaged from earthquakes or deterioration. The finite element (FE) model of a structure should be updated to reflect the damage conditions. If the stiffness reduction is ignored, the analysis results will be unreliable. Conv...

(This article belongs to the Special Issue Toward Sustainable Engineering Structures for Better Safety in Built-Environment)
  • Article
  • Open Access
59 Citations
5,470 Views
16 Pages

1 September 2020

The health monitoring of tunnel structures is vital to the safe operation of railway transportation systems. With the increasing mileage of tunnels, regular inspection and health monitoring are urgently demanded for the tunnel structures, especially...

(This article belongs to the Section Sensing and Imaging)
  • Article
  • Open Access
11 Citations
3,540 Views
26 Pages

24 April 2022

Thin-walled tubes are widely used as energy-absorbing components in traffic vehicles, which can absorb part of the energy in time by using the plastic deformation of the components during collision so as to reduce the damage of the vehicle body and i...

  • Article
  • Open Access
20 Citations
5,604 Views
13 Pages

29 September 2020

Metallography is the study of the structure of metals and alloys. Metallographic analysis can be regarded as a detection tool to assist in identifying a metal or alloy, to evaluate whether an alloy is processed correctly, to inspect multiple phases w...

(This article belongs to the Section Sensing and Imaging)
  • Article
  • Open Access
9 Citations
4,578 Views
23 Pages

Prospects of Geoinformatics in Analyzing Spatial Heterogeneities of Microstructural Properties of a Tectonic Fault

  • Stepan Ustinov,
  • Alexey Ostapchuk,
  • Alexey Svecherevskiy,
  • Alexey Usachev and ,
  • Grigorii Gridin,
  • Antonina Grigor’eva and
  • Igor Nafigin
  • + 2 authors+ 0 author

10 March 2022

The paper proposes a special technique for microstructural analysis (STMA) of rock samples based on two provisions. The first one is an algorithm for the automatic detection and digitalization of microstructures in images of oriented thin sections. T...

(This article belongs to the Collection Geoinformatics and Data Mining in Earth Sciences)
  • Article
  • Open Access
39 Citations
5,499 Views
27 Pages

An Unsupervised Learning Approach for Wayside Train Wheel Flat Detection

  • Mohammadreza Mohammadi,
  • Araliya Mosleh,
  • Cecilia Vale,
  • Diogo Ribeiro and ,
  • Pedro Montenegro and
  • Andreia Meixedo
  • + 1 author+ 0 author

8 February 2023

One of the most common types of wheel damage is flats which can cause high maintenance costs and enhance the probability of failure and damage to the track components. This study aims to compare the performance of four feature extraction methods, nam...

(This article belongs to the Special Issue Advances in Condition Monitoring of Railway Infrastructures)
  • Article
  • Open Access
82 Citations
14,365 Views
23 Pages

Forensic Analysis on Internet of Things (IoT) Device Using Machine-to-Machine (M2M) Framework

  • Muhammad Shoaib Mazhar,
  • Yasir Saleem,
  • Ahmad Almogren,
  • Jehangir Arshad and ,
  • Mujtaba Hussain Jaffery,
  • Ateeq Ur Rehman,
  • Muhammad Shafiq and
  • Habib Hamam
  • + 3 authors+ 0 author

The versatility of IoT devices increases the probability of continuous attacks on them. The low processing power and low memory of IoT devices have made it difficult for security analysts to keep records of various attacks performed on these devices...

(This article belongs to the Special Issue Intelligent Data Sensing, Processing, Mining, and Communication)
  • Article
  • Open Access
6 Citations
3,504 Views
14 Pages

Design of Stretchable Style Pick-Up Device for Tomato Seedling Transplanters

  • Ling Ren,
  • Bindong Zhao,
  • Weibin Cao,
  • Wenbin Song and
  • Ming Zhao

To solve tomato planting problems, such as high labor intensity and low efficiency, we designed a stretchable style pick-up device, which met the requirements of whole-row picking and improved the efficiency and speed of seedling picking. We designed...

(This article belongs to the Special Issue Advances in Agricultural Engineering Technologies and Application)
  • Article
  • Open Access
79 Citations
7,859 Views
16 Pages

24 August 2019

The resilience of cities has received worldwide attention. An accurate and rapid assessment of seismic damage, economic loss, and post-event repair time can provide an important reference for emergency rescue and post-earthquake recovery. Based on ci...

(This article belongs to the Special Issue Extreme Sciences and Engineering)
  • Article
  • Open Access
39 Citations
8,267 Views
19 Pages

Earthquake Damage Region Detection by Multitemporal Coherence Map Analysis of Radar and Multispectral Imagery

  • Mahdi Hasanlou,
  • Reza Shah-Hosseini,
  • Seyd Teymoor Seydi,
  • Sadra Karimzadeh and
  • Masashi Matsuoka

20 March 2021

Earth, as humans’ habitat, is constantly affected by natural events, such as floods, earthquakes, thunder, and drought among which earthquakes are considered one of the deadliest and most catastrophic natural disasters. The Iran-Iraq earthquake occur...

(This article belongs to the Special Issue Improving Disaster Damage and Loss Assessments by Modeling and Remote Sensing Techniques)
  • Article
  • Open Access
17 Citations
6,034 Views
16 Pages

Design and Experiment of Automatic Clip-Feeding Mechanism for Vegetable-Grafting Robot

  • Kai Jiang,
  • Wenzhong Guo,
  • Liping Chen,
  • Wenqian Huang and ,
  • Yiyuan Ge and
  • Xiaoming Wei
  • + 1 author+ 0 author

28 February 2022

Aiming to solve the problems of poor performance and low stability in the automatic clip-feeding of a grafting machine, an automatic clip-feeding mechanism with a precise single-clip discharge mechanism was designed, and a clip-feeding performance te...

(This article belongs to the Special Issue Recent Advances in Horticultural Grafting)

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