Anomaly distribution acquisition method for probabilistic damage tolerance assessment of hole features by Guo Li, Huimin Zhou, Junbo Liu, Shuyang Xia, Shuiting Ding

“…Therefore, this paper proposes a model for achieving the anomaly distribution of hole features induced by machine or maintenance process, including collecting anomaly data, deriving the exceedance number by the probability of detection (POD), conducting the curve fitting process, and calibrating and modifying the anomaly distribution. …”
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Modern View on Forensic Classification of Documents by S. M. Bobovkin, A. V. Mamontov, V. D. Lobushev

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Initial evaluation of a state-wide multi-method survey to estimate koala occupancy and abundance by Graeme R. Gillespie, Nicole Gallahar, Allen P. McIlwee, Benjamin Douglas Hope, Elliot B. Webb, Matthew Clements, Veronica F. Gama, Madison Casley, Tim S. Jessop

“…Overall, the combined use of acoustic recorders and drones is highly advantageous because, where drones fail to detect koalas, acoustic recorder detections help eliminate false site absences, enhancing the precision of abundance estimates. …”
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An Obstacle Perception Algorithm Based on Multi-Sensor Fusion for Autonomous-Rail Rapid Transit by JIANG Liangyu, PAN Wenbo, HUANG Ruipeng

“…The pre-fusion process, supported by partial sensors, increases detection accuracy while avoiding excessive computational loads to on-board processing systems. …”
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Application of a Fiber Optic-Based SHM System to a Composite Aircraft Wing and Its Technological Maturity Evaluation by Gianvito Apuleo, Monica Ciminello, Lorenzo Pellone, Umberto Mercurio, Antonio Concilio

“…To assess maturity, a TRL evaluation has been carried out, whose results are summarized and discussed. Such a process allowed us to highlight specific areas for technological improvement, such as modeling-testing synergy and operational environment definition. …”
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An intelligent attention based deep convoluted learning (IADCL) model for smart healthcare security by J. Maruthupandi, S. Sivakumar, B. Lakshmi Dhevi, S. Prasanna, R. Karpaga Priya, Shitharth Selvarajan

“…Afterwards, optimization in the classification process is done by the SA-HHO algorithm, which provides the optimal weight values. …”
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Research on LiDAR Clear Air Turbulence Recognition Based on Improved SE-ResNet50 by Zibo ZHUANG, Jun CHEN, Peilin HE, Hongying ZHANG, Guohua JIN, Xiong LUO

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A Laser-Based SLAM Algorithm of the Unmanned Surface Vehicle for Accurate Localization and Mapping in an Inland Waterway Scenario by Yang Wang, Chao Liu, Jiahe Liu, Jinzhe Wang, Jianbin Liu, Kai Zheng, Rencheng Zheng

“…Subsequently, a generalized iterative closest point (GICP) algorithm incorporating rejection sampling is integrated to enhance the accuracy of point cloud matching, involving a two-phase filtering process to select key feature points for matching. …”
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Ionic Organic Network-based C3-symmetric@Triazine core as a selective Hg+2 sensor by Maha A. Alshubramy, M. M. Alam, Khalid A. Alamry, Abdullah M. Asiri, Mahmoud A. Hussein, Mohammed M. Rahman

“…The precursors, BPy, were synthesized using a condensation process involving 4-pyridine carboxaldehyde and focused nicotinic hydrazide. …”
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A deep learning-based multi-view approach to automatic 3D landmarking and deformity assessment of lower limb by Reyhaneh Rostamian, Masoud Shariat Panahi, Morad Karimpour, Hadi G. Kashani, Amirhossein Abi

“…However, the traditional process of manually detecting anatomical landmarks, especially in three dimensions, is both time-consuming and prone to human errors. …”
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Enhancing Structural Health Monitoring of Super-Tall Buildings Using Support Vector Machines, MEMD, and Wavelet Transform by Rouzbeh Doroudi, Seyed Hossein Hosseini Lavasani, Mohsen Shahrouzi, Aref Afshar

“…By integrating these techniques, engineers are enabled to process large-scale data effectively, detect damage promptly, and make informed decisions to support civil infrastructure management practices.…”
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On the integration of the methods of forming and research of images of objects against the background of noises and interference by M. T. Nguyen, V. I. Nefedov, N. S. Chekalkin, I. V. Kozlovsky, A. V. Malafeev, N. A. Mirolyubova, M. A. Nazarenko

“…This article discusses the application of complex methods for detecting, recognizing, distinguishing borders and measuring various parameters of noisy, low-contrast, difficult-to-see images of space, air or ground objects. …”
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Breaking and Healing: GAN-Based Adversarial Attacks and Post-Adversarial Recovery for 5G IDSs by Yasmeen Alslman, Mouhammd Alkasassbeh, Mohammad J. Abdel-Rahman

“…However, the proposed post-adversarial recovery process effectively restores the IDSs’ performance while significantly reducing the ASR.…”
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DCGOFTracker: Dual-Cue Guidance and Occlusion-Friendly for Multiobject Tracking in Remote Sensing Videos by Bei Cheng, Bo Wang, Qingwang Wang, Wenhao Chen, Tao Shen, Zhengzhou Li

“…This framework integrates local detection enhancement for small targets and refines the association matching process to improve tracking performance. …”
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A non‐fluorescent immunohistochemistry method for measuring autophagy flux using MAP1LC3/LC3 and SQSTM1 as core markers by Shahla Shojaei, Amir Barzegar Behrooz, Marco Cordani, Mahmoud Aghaei, Negar Azarpira, Daniel J. Klionsky, Saeid Ghavami

“…Macroautophagy/autophagy is a crucial cellular process for degrading and recycling damaged proteins and organelles, playing a significant role in diseases such as cancer and neurodegeneration. …”
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Nitrogen Dioxide Monitoring by Means of a Low-Cost Autonomous Platform and Sensor Calibration via Machine Learning with Global Data Correlation Enhancement by Slawomir Koziel, Anna Pietrenko-Dabrowska, Marek Wójcikowski, Bogdan Pankiewicz

“…Unfortunately, reliable NO₂ detection requires sophisticated and expensive apparatus. …”
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Comprehensive method for evaluating results of ultrasonic testing of parts and components of rolling stock when adjusting the sensitivity for different reflectors by A. N. KIREEV, V. V. BYKADOROV, M. A. KIREEVA

“…To improve the operation efficiency of rolling stock, methods and diagnostics tools have been developed, which are used both in its manufacture and in carrying out maintenance and repairs, and as an independent technological process. Diagnostics allows to increase the availability factor and the probability of uptime of the rolling stock, reduce the complexity and cost of periodic maintenance of its nodes. …”
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N6-methyladenine identification using deep learning and discriminative feature integration by Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad

“…Abstract N6-methyladenine (6 mA) is a pivotal DNA modification that plays a crucial role in epigenetic regulation, gene expression, and various biological processes. With advancements in sequencing technologies and computational biology, there is an increasing focus on developing accurate methods for 6 mA site identification to enhance early detection and understand its biological significance. …”
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Humidity-Triggered Reversible 0–1D Phase Transition in Hybrid Antimony Halides by Yi Liu, Jiahua Luo, Abdusalam Ablez, Jinmei Liu, Nianhao Wang, Haowei Lin, Zeping Wang, Xiaoying Huang

“…X-ray powder diffraction, Raman spectroscopy, and thermogravimetric analysis confirm the phase transition process and its reversibility. Based on the high contrast of fluorescence before and after phase transition, (Mp)₃SbCl₆·MeCN is demonstrated as an ideal material for fluorescence water sensing, capable of detecting trace amounts of water in tetrahydrofuran with a detection limit of 0.2% <i>v</i>/<i>v</i>.…”
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Enhancing Camera Source Identification: A Rapid Algorithm with Enhanced Discriminative Power by Zhimao Lai, Lijuan Cheng, Renhai Feng

“…Digital image source identification primarily focuses on analyzing and detecting the machine imprints or camera fingerprints left by imaging devices during the imaging process to trace the origin of digital images. …”
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