MEP-YOLOv5s: Small-Target Detection Model for Unmanned Aerial Vehicle-Captured Images by Shengbang Zhou, Song Zhang, Chuanqi Li, Shutian Liu, Dong Chen

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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

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Effect of thermal history on the fracture and fatigue behaviors of semi-crystalline polymers prepared via material extrusion additive manufacturing by Ava M. Lea, Khaled Matalgah, Arief Yudhanto, Trevor J. Fleck

“…However, the effect of thermal history on the resultant microstructure and damage tolerance of MEX-AM materials is not fully understood. This research investigates the critical role of interfacial thermal history, which is dependent on processing conditions, in determining the fracture and fatigue behaviors of semi-crystalline polymers, as exemplified by polyamide-6 (PA-6). …”
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Perceptions of processed foods as unhealthy: Heuristic strength, prevalence, and potential implications for the protein shift by Elizabeth S. Collier, Kathryn L. Harris, Marcus Bendtsen, Hanieh Moshtaghian, Susanne Bryngelsson, Jun Niimi

“…In an online experiment, participants (N=563) rated the healthiness and level of processing of 24 food products (presented as images), completed the food technology neophobia (FTN) scale, and reported consumption frequency of different foods. …”
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Ensemble Learning for Three-dimensional Medical Image Segmentation of Organ at Risk in Brachytherapy Using Double U-Net, Bi-directional ConvLSTM U-Net, and Transformer Network by Soniya Pal, Raj Pal Singh, Anuj Kumar

“…It aims to improve the accuracy and efficiency of segmentation. Materials and Methods: The dataset comprised computed tomography (CT) scans of 60 patients obtained from our own institutional image bank and 10 patients from the other institute, all in Digital Imaging and Communications in Medicine format. …”
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Indentation measurement of thin plates using 3D digital image correlation and experimental validation by Juan-Antonio Almazán-Lázaro, Elías López-Alba, Francisco-Alberto Díaz-Garrido

“…Full field and non-contact methods are becoming increasingly useful to get accurate measurements of displacements in many recent research fields and industries. 3D Digital Image Correlation (3D-DIC) is one of these powerful tools, which is capable of performing out-of-plane measurements.The purpose of this work is to investigate a novel method for measuring the indentation response of materials, indirectly by applying 3D-DIC to the opposite contacted side of the area of interest. …”
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Strain-induced martensitic transformations in tailored microstructures by L-PBF: In situ characterization via advanced neutron imaging by F. Malamud, C. Sofras, E. Polatidis, M. Busi, J. Capek, P. Rathi, M. Strobl

“…The possibility of controlling the microstructure in laser powder bed fusion (L-PBF) by locally changing the processing parameters, opens the possibility of building complex structures with tailored microstructures, leading to the development of smart materials. …”
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Application of Artificial Neural Network Models in Segmentation and Classification of Nodules in Breast Ultrasound Digital Images by Karem D. Marcomini, Antonio A. O. Carneiro, Homero Schiabel

“…We performed the tests in ultrasound images obtained from breast phantoms made of tissue mimicking material. …”
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Lieutaud’s triangle lesion and urodynamic disorders in bladder cancer according to magnetic resonance imaging data by E. G. Grigor'ev, I. G. Frolova, S. A. Velichko

“…Objective: to estimate the capabilities of magnetic resonance imaging (MRI) in revealing bladder tumor in relation to its sizes and location and in diagnosing concomitant urodynamic disorders.Material and methods. …”
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History-Based Image Cloud Recognition Learning Method in Strengthening Students' Historical Thinking Skills by Syaiful Amin, Sariyatun Sariyatun, Gunarhadi Gunarhadi, Purwanta Purwanta

“…ch school that is the subject of research are adequate and complete to support the learning process, although there are some that still need care. …”
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Identification of television images in vision systems based on mathematical apparatus of cubic normalized B-splines by Vladimir A Krutov, Dmitry A Bezuglov, Oleg V. Shvachko

“…Materials and Methods. Involving intense background noise, spline-approximation of discrete values of signals and images is usually unproductive and leads to raw errors. …”
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Ultra-high field upper extremity peripheral nerve and non-contrast enhanced vascular imaging. by Shailesh B Raval, Cynthia A Britton, Tiejun Zhao, Narayanan Krishnamurthy, Tales Santini, Vijay S Gorantla, Tamer S Ibrahim

“…DSI studio was utilized to identify nerves based on analysis of diffusion weighted derived fractional anisotropy images. Images of forearm vasculature were extracted using a paint grow manual segmentation method based on MIPAV [Medical Image Processing, Analysis, and Visualization].…”
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Decision support for the identification of testate amoebae in microscopy images to detect peat presence in horticultural substrates by Serge Zaugg, Camille Vögeli, Lena Märki, Clément Duckert, Edward A.D. Mitchell

“…Test set performance (average precision) reached values above 0.8 for Archerella sp. and above 0.7 for Amphitrema sp. The system processes thousands of images within minutes and returns a concise list of crops of the most relevant shells. …”
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Conformal Retinal Image Sensor Based on Electrochemically Exfoliated MoS₂ Nanosheets by Tianxiang Li, Hao Yuan, Wentong Cai, Qi Su, Lingxian Kong, Bo Sun, Tielin Shi

“…Comprehensive experimental results in this work reveal the utility of our device for photoelectric detection and imaging. We believe that our work provides a new methodology for the exploitation of 2D material-based retinal image sensors.…”
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Object Detection in High-Resolution UAV Aerial Remote Sensing Images of Blueberry Canopy Fruits by Yun Zhao, Yang Li, Xing Xu

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Enabling dynamic 3D coherent diffraction imaging via adaptive latent space tuning of generative autoencoders by Alexander Scheinker, Reeju Pokharel

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Nanosensor-based imaging of realtime dopamine release in neurons derived from iPSCs of patients with Parkinson's disease by Nayeon Lee, Dakyeon Lee, Jae Hyeok Lee, Bo Seok Lee, Sungjee Kim, Jae Ho Kim, Sanghwa Jeong

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Self‐Recovery of Carbonate‐Contaminated Strontium Titanate (100) Vicinal Surfaces Imaged by Tip‐Enhanced Raman Spectroscopy by Mohammad Bakhtbidar, Daniel Gueckelhorn, Marivi Fernández‐Serra, Yon Leandro Leibas López, Alexandre Merlen, Andreas Ruediger

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An Automated Feature-Based Image Registration Strategy for Tool Condition Monitoring in CNC Machine Applications by Eden Lazar, Kristin S. Bennett, Andres Hurtado Carreon, Stephen C. Veldhuis

“…However, conventional MV-TCM edge detection strategies process each image independently to infer edge positions, rendering them susceptible to inaccuracies when tool edges are compromised by material adhesion or chipping, resulting in imprecise wear measurements. …”
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