CSF-YOLO: A Lightweight Model for Detecting Grape Leafhopper Damage Levels by Chaoxue Wang, Leyu Wang, Gang Ma, Liang Zhu

“…Grape leafhoppers (<i data-eusoft-scrollable-element="1">Erythroneura</i> spp.) are major pests in grape cultivation, leading to significant economic losses. Accurate and efficient damage level assessment is crucial for effective pest management and reducing financial impact. …”
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Unsupervised Structural Damage Detection Technique Based on a Deep Convolutional Autoencoder by Zahra Rastin, Gholamreza Ghodrati Amiri, Ehsan Darvishan

“…The CAE is chosen to take advantage of high feature extraction capability of convolution layers and at the same time use the advantages of an autoencoder as an unsupervised algorithm that does not need data from damaged states in the training phase. Applications on the two numerical models of IASC-ASCE benchmark structure and a grid structure located at the University of Central Florida, as well as the full-scale Tianjin Yonghe Bridge, prove the efficiency of the proposed algorithm in assessing the global health state of the structures and quantifying the damage.…”
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An improved method of AUD-YOLO for surface damage detection of wind turbine blades by Li Zou, Anqi Chen, Xinhua Yang, Yibo Sun

“…Abstract The detection of wind turbine blades (WTBs) damage is crucial for improving power generation efficiency and extending the lifespan of turbines. …”
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A Novel Rail Damage Fault Detection Method for High-Speed Railway by Yu Wang, Bingrong Miao, Ying Zhang, Zhong Huang, Songyuan Xu

“…Firstly, 12 common types of surface damage of the rail head were analyzed and classified into five categories based on their damage characteristics. …”
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Bioestimulant with Ascophyllum nodosum and fulvic acids as mitigating factors of salinity damage in soybean by Bruna A. da Silva, Johny de S. Silva, Toshik I. da Silva, Rafael S. da Costa, Carolina S. de Castro, Letícia K. B. de Oliveira, Tomil R. M. de Sousa, Carlos Y. A. C. Rodrigues, Flávio B. Cardoso, Rosilene O. Mesquita

“…New technologies are being developed to minimize the damage caused by saline stress and improve crop performance. …”
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An approach to forecasting damage due to unfavorable circumstances associated with indistinguishability of source data by V. F. Zolotukhin, A. V. Matershev, L. A. Podkolzina

“…There is an acute problem of reduction of the likelihood of unwanted events and mitigation of possible damage. The efficiency of predicting damage to complex systems depends directly on the quality of processing methods, systematization, and the amount of input data. …”
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Imaging Estimation for Liver Damage Using Automated Approach Based on Genetic Programming by David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Socorro Herrera-Meza, Eduardo Rivadeneyra-Domínguez, Isaac Zamora-Bello, María Fernanda Almanza-Domínguez

“…Instead of using invasive methods to determine the level of damage, the proposal allows us to measure the damage in the livers. …”
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Experimental study on characteristics of Jiamin damage in high-volatile bituminous coal reservoirs by Xin LI, Shitao DU, Shuguang YANG, Bo WEI, Ziqiang WANG, Yanpeng CHEN, Zhenpeng HU, Ming CHENG, Xuehai FU, Junqiang KANG

“…This leads to a reduction in water permeability and inhibits the effective removal of water upon re-opening of the CBM well, resulting in reduced drainage efficiency and pressure reduction. ④ It is recommended to reduce Jamin damage in the vicinity of the well and release the productivity of low-yield CBM wells by strengthening gas well management, extending well repair and pump inspection cycles, maintaining stable drainage, developing Jamin-suppressing antifoaming agents, and implementing pulse excitation flushing methods.…”
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Using Pneumatic Systems in the Representation of Historical Buildings Damaged in Earthquakes: The Case of Hatay by Esra İmamoğlu Yılmaz, Güray Yusuf Baş, Tayfur Emre Yavru, Semih Yılmaz

“…As an innovative proposal within these practices a model that employs pneumatic system technology to represent earthquake-damaged historical structures has been developed and examined for its practical application possibilities. …”
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Automated Damage Detection on Concrete Structures Using Computer Vision and Drone Imagery by Timothy Malche, Sumegh Tharewal, Rajesh Kumar Dhanaraj

“…The system is much faster and more efficient than manual inspection, reducing the time and cost required for damage assessment. …”
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Mre11 assembles linear DNA fragments into DNA damage signaling complexes. by Vincenzo Costanzo, Tanya Paull, Max Gottesman, Jean Gautier

“…MRN is required for efficient activation of the DNA damage response induced by DSBs. …”
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Collateral Damage: September 11th and the Performance of the Faith-Based and Community Initiative by John CHANDLER

“…I concentrate particularly on Dilulio as his case provides a unique and efficient vehicle for illustrating both the chain of events leading up to 9/11 as well as the collateral damage to faith-based policy.…”
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The Effect of Initiation Time Delay and Sequencing on Rock Damage in Multi-Hole Blasting by Magreth Sungwa Dotto, Yashar Pourrahimian

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A Damage Classification Approach for Structural Health Monitoring Using Machine Learning by Diego Tibaduiza, Miguel Ángel Torres-Arredondo, Jaime Vitola, Maribel Anaya, Francesc Pozo

“…The principal goal for SHM is oriented to the development of efficient methodologies to process these data and provide results associated with the different levels of the damage identification process. …”
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Reliable Structural Stability and Damage Control of Concrete Gravity Dams During Earthquakes by Nazim Abdul Nariman, Ayad Mohammed Ramadan, Rawshan Ali, Raja Rizwan Hussain, Shallaw Abdullah Saleh

“…A multi-objective function authorized by two meta models is being optimized to predict the optimized minimum displacements of the Koyna dam during seismic action in addition to crack damage propagation. The results declared that the meta models are 100% efficient in estimating the response of the structural system of the dam. …”
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Revisiting the approaches to DNA damage detection in genetic toxicology: insights and regulatory implications by Sulaiman Mohammed Alnasser

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Detection of Structural Damage After an Earthquake Using GIS and Remote Sensing Methods by Aşır Yüksel Kaya

“…The study aims to emphasize the significance of GIS and remote sensing for the timely and efficient evaluation of building damage after a disaster. …”
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Damage and Failure Modeling of Composite Material Structures Using the Pam-Crash Code by Eduardo Martin-Santos, Lucia G. Barbu, Pablo Cruz

“…This work proposes a solution for predicting the progressive damage of composite materials in Pam-Crash, which scales the energy dissipated by the damage mechanisms and checks the viability of modeling the material behavior, taking into account the recommended size of finite elements in the automotive industry. …”
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Damage Scene Change Detection Based on Infrared Polarization Imaging and Fast-PCANet by Min Yang, Jie Yang, Hongxia Mao, Chong Zheng

“…Change detection based on optical image processing plays a crucial role in the field of damage assessment. Although existing damage scene change detection methods have achieved some good results, they are faced with challenges, such as low accuracy and slow speed in optical image change detection. …”
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An Experimental Investigation on the Microscopic Damage and Mechanical Properties of Coal Under Hygrothermal Conditions by Haisen Zhao, Guichen Li, Jiahui Xu, Yuantian Sun, Fengzhen He, Haoran Hao, Mengzhuo Han, Bowen Tian

“…Investigating the microstructural damage and mechanical properties of coal under deep mine hygrothermal conditions is essential for ensuring the safe and efficient extraction of coal resources. …”
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