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Journal articles on the topic 'IMAGE PATCHING'

Author: Grafiati

Published: 11 September 2023

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1

Tsai, Yi-Chang (James), Yi-Ching Wu, and Geoffrey Price. "A Cost-Effective and Objective Full-Depth Patching Identification Method using 3D Sensing Technology with Automated Crack Detection and Classification." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 40 (2018): 50–58. http://dx.doi.org/10.1177/0361198118798474.

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Full-depth patching is one of the commonly used asphalt pavement maintenance and rehabilitation methods in which deteriorated base and surface layers are repaired to restore strength and improve ride quality. During resurfacing projects, areas requiring full-depth patching are identified and quantified as construction priorities because of the high costs associated with the labor and materials for the procedure. Currently, the manual surveys conducted to identify these locations are time-consuming and labor-intensive. Thus, large projects often cannot easily quantify the full-depth patching ne

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Zhong, Haidong, Xianyi Chen, and Qinglong Tian. "An Improved Reversible Image Transformation Using K-Means Clustering and Block Patching." Information 10, no. 1 (2019): 17. http://dx.doi.org/10.3390/info10010017.

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Recently, reversible image transformation (RIT) technology has attracted considerable attention because it is able not only to generate stego-images that look similar to target images of the same size, but also to recover the secret image losslessly. Therefore, it is very useful in image privacy protection and reversible data hiding in encrypted images. However, the amount of accessorial information, for recording the transformation parameters, is very large in the traditional RIT method, which results in an abrupt degradation of the stego-image quality. In this paper, an improved RIT method f

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Gong, Yan. "Panoramic Image Patching Algorithm Based on Global Optimization." Journal of Information and Computational Science 12, no. 14 (2015): 5523–30. http://dx.doi.org/10.12733/jics20150019.

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Celaya-Padilla, Jose M., Carlos E. Galvan T, J. Ruben Delgado C, Issac Galvan-Tejada, and Ernesto Ivan Sandoval. "Multi-seed texture synthesis to fast image patching." Procedia Engineering 35 (2012): 210–16. http://dx.doi.org/10.1016/j.proeng.2012.04.182.

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Totsuka, Satoru, Tomoya Handa, Hitoshi Ishikawa, and Nobuyuki Shoji. "Improvement of Adherence with Occlu-Pad Therapy for Pediatric Patients with Amblyopia." BioMed Research International 2018 (November 22, 2018): 1–5. http://dx.doi.org/10.1155/2018/2394562.

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We aimed to examine visual acuity improvement effect and adherence in amblyopia training using tablet type vision training equipment (Occlu-pad). The subjects were 138 patients with amblyopia (average age of 5.5 ± 1.6 years old); their amblyopic visual acuity at the start of training was logMAR 0.15 to 1.3. Occlu-pad is a device that processes images such that amblyopic eyes can only view the image as it passes through polarized glasses; this is achieved by peeling off the polarizing film layer in the liquid crystal display of an iPad (Apple). Amblyopia training comprised either the instructio

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Dan, Han-Cheng, Hao-Fan Zeng, Zhi-Heng Zhu, Ge-Wen Bai, and Wei Cao. "Methodology for Interactive Labeling of Patched Asphalt Pavement Images Based on U-Net Convolutional Neural Network." Sustainability 14, no. 2 (2022): 861. http://dx.doi.org/10.3390/su14020861.

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Image recognition based on deep learning generally demands a huge sample size for training, for which the image labeling becomes inevitably laborious and time-consuming. In the case of evaluating the pavement quality condition, many pavement distress patching images would need manual screening and labeling, meanwhile the subjectivity of the labeling personnel would greatly affect the accuracy of image labeling. In this study, in order for an accurate and efficient recognition of the pavement patching images, an interactive labeling method is proposed based on the U-Net convolutional neural net

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TOKUDA, Kenichi, Tetsuya KINUGASA, Ryota HAYASHI, Takafumi HAJI, and Hisanori AMANO. "Shredded Image Patching of Inner Crawler Cameras for Disaster Robot." Proceedings of Mechanical Engineering Congress, Japan 2016 (2016): G1500504. http://dx.doi.org/10.1299/jsmemecj.2016.g1500504.

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Takahashi, Ryo, Takashi Matsubara, and Kuniaki Uehara. "Data Augmentation Using Random Image Cropping and Patching for Deep CNNs." IEEE Transactions on Circuits and Systems for Video Technology 30, no. 9 (2020): 2917–31. http://dx.doi.org/10.1109/tcsvt.2019.2935128.

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Maeda, Keisuke, Saya Takada, Tomoki Haruyama, Ren Togo, Takahiro Ogawa, and Miki Haseyama. "Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching." Sensors 22, no. 22 (2022): 8932. http://dx.doi.org/10.3390/s22228932.

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Distresses, such as cracks, directly reflect the structural integrity of subway tunnels. Therefore, the detection of subway tunnel distress is an essential task in tunnel structure maintenance. This paper presents the performance improvement of deep learning-based distress detection to support the maintenance of subway tunnels through a new data augmentation method, selective image cropping and patching (SICAP). Specifically, we generate effective data for training the distress detection model by focusing on the distressed regions via SICAP. After the data augmentation, we train a distress det

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WANG, DACHENG, and SARGUR N. SRIHARI. "ANALYSIS OF FORM IMAGES." International Journal of Pattern Recognition and Artificial Intelligence 08, no. 05 (1994): 1031–52. http://dx.doi.org/10.1142/s0218001494000528.

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Automatic analysis of images of forms is a problem of both practical and theoretical interest; due to its importance in office automation, and due to the conceptual challenges posed for document image analysis, respectively. We describe an approach to the extraction of text, both typed and handwritten, from scanned and digitized images of filled-out forms. In decomposing a filled-out form into three basic components of boxes, line segments and the remainder (handwritten and typed characters, words, and logos), the method does not use a priori knowledge of form structure. The input binary image

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Wu (吴秋雨), Qiuyu, Ilya Kolb, Brendan M. Callahan, et al. "Integration of autopatching with automated pipette and cell detection in vitro." Journal of Neurophysiology 116, no. 4 (2016): 1564–78. http://dx.doi.org/10.1152/jn.00386.2016.

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Patch clamp is the main technique for measuring electrical properties of individual cells. Since its discovery in 1976 by Neher and Sakmann, patch clamp has been instrumental in broadening our understanding of the fundamental properties of ion channels and synapses in neurons. The conventional patch-clamp method requires manual, precise positioning of a glass micropipette against the cell membrane of a visually identified target neuron. Subsequently, a tight “gigaseal” connection between the pipette and the cell membrane is established, and suction is applied to establish the whole cell patch

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Du, Juan. "AIVMAF: Automatic Image Quality Estimation Based on Improved VMAF and YOLOv4." Journal of Physics: Conference Series 2289, no. 1 (2022): 012020. http://dx.doi.org/10.1088/1742-6596/2289/1/012020.

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Abstract The current most widely used way of image quality estimation relies heavily on the subjective assessment, while majority of past objective estimation methods are not satisfactory on accuracy. To solve them and realize unsupervised image quality estimation with high precision, this paper creates a linear way with “Proportional Partition” controlled by horizontal and vertical rates of extracted pixel to get best representations of the image with patching, balance the uneven distribution of image quality in each source image, and offer dynamic compatibility to images with high resolution

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Hu, Yi, Yuyi Yao, and Zhen Cheng. "Low-Rank Tensor Patching Based on Convolutional Sparse Coding for Communication Data Repair." Mobile Information Systems 2022 (September 5, 2022): 1–14. http://dx.doi.org/10.1155/2022/8194834.

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The study aimed to solve the common problem that hardware limitations and degradation make the data obtained in reality usually incomplete and improve the quality of communication transmission. In this paper, we propose a new low-rank tensor complementation model LRTC-CSC, which is based on tensor kernel parametrization (TNN), preserves the low-rank structure of information while restoring the detail features, and finally solves the problem using the efficient alternating direction multiplier method (ADMM). Based on the low-rank nature of the tensor, adding convolutional sparse coding (CSC) ca

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Li, Wansong, Xianyu Su, and Zhongbao Liu. "Large-scale three-dimensional object measurement: a practical coordinate mapping and image data-patching method." Applied Optics 40, no. 20 (2001): 3326. http://dx.doi.org/10.1364/ao.40.003326.

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Spiecker, Heinrich, Martin G. Schinker, Jörg Hansen, Young-In Park, Tilman Ebding, and Walter Döll. "CELL STRUCTURE IN TREE RINGS: NOVEL METHODS FOR PREPARATION AND IMAGE ANALYSIS OF LARGE CROSS SECTIONS." IAWA Journal 21, no. 3 (2000): 361–73. http://dx.doi.org/10.1163/22941932-90000253.

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A new method for the preparation of wood samples for high-resolution reflected-light microscopy in combination with a species-specific image analysis system is introduced. The method is based on an ultraprecise single-point diamond flycutter equipped with air bearings and functions on the basis of a rotating diamond edge. Extensive and very smooth surfaces can be produced on increment cores as well as entire cross sections. Hence, this technique provides the prerequisites for a continuous microscopic analysis across large tree-ring sequences, or entire cross sections. Patching or sub-sectionin

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Pan, Wu Min. "Dynamic Update Mechanism in Wireless Sensor Networks." Applied Mechanics and Materials 526 (February 2014): 267–72. http://dx.doi.org/10.4028/www.scientific.net/amm.526.267.

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Many researches use diff environmental conditions or application requirements in WSN. In the default Deluge mechanism, it will recover a sensor node from an updating error by reloading the stored full image again or waiting for the host machine to retransmit the full image again. This strategy is easy to implement and intuitive, but replacing the current executing image by retransmitting a full image file again is resource-consuming. To avoid retransmitting the full image when performing recovery, at the time when diff-based updating procedures have been finished, sensor nodes using our recove

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Ayres, Nicholas, Lipika Deka, and Daniel Paluszczyszyn. "Continuous Automotive Software Updates through Container Image Layers." Electronics 10, no. 6 (2021): 739. http://dx.doi.org/10.3390/electronics10060739.

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The vehicle-embedded system also known as the electronic control unit (ECU) has transformed the humble motorcar, making it more efficient, environmentally friendly, and safer, but has led to a system which is highly dependent on software. As new technologies and features are included with each new vehicle model, the increased reliance on software will no doubt continue. It is an undeniable fact that all software contains bugs, errors, and potential vulnerabilities, which when discovered must be addressed in a timely manner, primarily through patching and updates, to preserve vehicle and occupa

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Haverstick, D. M., and M. Glaser. "Visualization of domain formation in the inner and outer leaflets of a phospholipid bilayer." Journal of Cell Biology 106, no. 6 (1988): 1885–92. http://dx.doi.org/10.1083/jcb.106.6.1885.

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Large vesicles (5-10-micron in diameter) were formed in the presence of phospholipids fluorescently labeled on the acyl chain and visualized using a fluorescence microscope, charge-coupled-device camera and digital image processor. When such vesicles contained a fluorescent phosphatidic acid (PA) and were exposed to 2 mM CaCl2 or 0.5 mM PrCl3, it was possible to visualize PA-enriched domains within the vesicles. Calcium-induced domain formation was reversible in the presence of 4 mM EGTA. Vesicles were formed containing fluorescent PA on either the inner or outer leaflet of the bilayer and the

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Tehrani, Ali, Ivan Rosado-Mendez, and Hassan Rivaz. "Deep estimation of viscoelastic and backscatter quantitative ultrasound." Journal of the Acoustical Society of America 152, no. 4 (2022): A74. http://dx.doi.org/10.1121/10.0015594.

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Deep learning is an ideal tool to solve inverse problems, which are often ill-posed and require incorporation of a priori information. We focus on solving two well-known inverse problems that entail the estimation of (1) viscoelastic (VE) and (2) backscatter quantitative ultrasound (QUS). These properties are of critical clinical value but are not currently available from B-mode images. On the first front, we propose a novel technique called PICTURE (Physically Inspired ConsTraint for Unsupervised Regularized Elastography) [Tehrani, Rivaz, MICCAI, (2022)], where we impose additional physics-ba

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Kurent, Alma, and Dragica Kosec. "Amblyopia." Slovenian Medical Journal 88, no. 1-2 (2019): 71–76. http://dx.doi.org/10.6016/zdravvestn.2834.

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Amblyopia is a reduction of vision in one or both eyes due to a failure of normal neural development in the immature visual system.Amblyopia occurs due to two basic conditions – abnormal binocular interaction (e.g., strabismus) and blurring or distortion of visual image due to uncorrected refractive errors or media opacities. Best-corrected visual acuities in amblyopic eyes range from mild deficits to severe vision loss.The principle of treating amblyopia involves clearing any image blur and encouraging use of the amblyopic eye with occlusion of the better-seeing eye. Paediatric Eye Disease In

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Nishio, Mizuho, Shunjiro Noguchi, and Koji Fujimoto. "Automatic Pancreas Segmentation Using Coarse-Scaled 2D Model of Deep Learning: Usefulness of Data Augmentation and Deep U-Net." Applied Sciences 10, no. 10 (2020): 3360. http://dx.doi.org/10.3390/app10103360.

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Combinations of data augmentation methods and deep learning architectures for automatic pancreas segmentation on CT images are proposed and evaluated. Images from a public CT dataset of pancreas segmentation were used to evaluate the models. Baseline U-net and deep U-net were chosen for the deep learning models of pancreas segmentation. Methods of data augmentation included conventional methods, mixup, and random image cropping and patching (RICAP). Ten combinations of the deep learning models and the data augmentation methods were evaluated. Four-fold cross validation was performed to train a

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Azrad, Syaril, Mohammad Fadhil, Farid Kendoul, and Kenzo Nonami. "Quadrotor UAV Indoor Localization Using Embedded Stereo Camera." Applied Mechanics and Materials 629 (October 2014): 270–77. http://dx.doi.org/10.4028/www.scientific.net/amm.629.270.

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Localization of Small-Size Unmanned Air Vehicles (UAVs) such as the Quadrotors inGlobal Positioning System (GPS)-denied environment such as indoors has been done using varioustechniques. Most of the experiment indoors that requires localization of UAVs, used cameras or ultrasonicsensors installed indoor or applied indoor environment modification such as patching (InfraRed) IR and visual markers. While these systems have high accuracy for the UAV localization, theyare expensive and have less practicality in real situations. We propose a system consisting of a stereocamera embedded on a quadroto

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Usman, Opeyemi Lateef, Ravie Chandren Muniyandi, Khairuddin Omar, and Mazlyfarina Mohamad. "Gaussian smoothing and modified histogram normalization methods to improve neural-biomarker interpretations for dyslexia classification mechanism." PLOS ONE 16, no. 2 (2021): e0245579. http://dx.doi.org/10.1371/journal.pone.0245579.

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Achieving biologically interpretable neural-biomarkers and features from neuroimaging datasets is a challenging task in an MRI-based dyslexia study. This challenge becomes more pronounced when the needed MRI datasets are collected from multiple heterogeneous sources with inconsistent scanner settings. This study presents a method of improving the biological interpretation of dyslexia’s neural-biomarkers from MRI datasets sourced from publicly available open databases. The proposed system utilized a modified histogram normalization (MHN) method to improve dyslexia neural-biomarker interpretatio

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Fedden, Leon, Zhenning Zhang, Khan Baykaner, Qin Li, and Lucas Bordeaux. "Abstract 1937: DIME-CT: Self-supervised learning for medical image analysis using patch-based embeddings." Cancer Research 82, no. 12_Supplement (2022): 1937. http://dx.doi.org/10.1158/1538-7445.am2022-1937.

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Abstract Whether tracking patient progress for clinical decision making, or investigating novel therapies, automated analysis of Computed Tomography (CT) imaging data is essential for the future of digital radiomics. In digital radiomics, as in all medical imaging, well annotated data is scarce, whereas unlabelled images are relatively plentiful. In other fields of image processing and medical imaging, the application of self-supervised learning (SSL) to large quantities of unlabelled data has resulted in great strides forward for fast, scalable, and interpretable image analysis. In this work

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Kim, Hoi-Eun. "Patching Up a Diplomatic Fissure: Reassessing Richard Wunsch, a German Physician to the Korean Court, 1901–1905*." German History 37, no. 4 (2019): 478–99. http://dx.doi.org/10.1093/gerhis/ghz013.

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Abstract In 1901 the Korean imperial court invited Greifswald-educated medical doctor Richard Wunsch to be personal physician to Emperor Kojong, only to abandon him upon his arrival in Seoul. Previous scholarship has understood Wunsch’s wasteful four-year engagement as a typical example from an incompetent regime on the cusp of its forceful transformation into Japan’s protectorate in 1905. Based upon careful analysis of hitherto unexplored diplomatic documents from both German and Korean sides, I argue that the appointment of Wunsch needs be understood in the whirlwind of diplomatic tension be

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Hanh, Nguyen Hoang, Mai Sy Tuan, Pham Hong Tinh, and Nguyen Thi Hong Hanh. "Characteristics of gap regeneration in mangrove forests of Dong Rui, Tien Yen, Quang Ninh." TAP CHI SINH HOC 40, no. 2 (2018): 129–37. http://dx.doi.org/10.15625/0866-7160/v40n2.13243.

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Field surveys using unmanned aerial vehicle monitoring were conducted in combination with satellite image analysis to evaluate the characteristics of gaps inside mangrove forest vegetation in Dong Rui commune, Tien Yen district, Quang Ninh province as well as the natural regeneration inside these gaps. A total of 15 gaps was located in four survey plots totaling 22,500 m2, among which four different types of mangrove forest communities were found, being dominated by (1) Bruguiera gymnorrhiza; (2) Aegriceras corniculatum, Kandelia obovata, Rhizophora stylosa and Bruguiera gymnorrhiza; (3) Brugu

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Zhang, Tuanfeng, Sebastien Bombarde, Sebastien B. Strebelle, and Emily Oatney. "3D Porosity Modeling of a Carbonate Reservoir Using Continuous Multiple-Point Statistics Simulation." SPE Journal 11, no. 03 (2006): 375–79. http://dx.doi.org/10.2118/96308-pa.

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Summary Training images are numerical representations of geological conceptual models that provide prior information on reservoir architecture. A new emerging geostatistical approach named multiple-point statistics (MPS) simulation allows extracting multiple-point structures from such training images and anchoring these structures to the data actually observed in the reservoir. By reproducing multiple-point statistics inferred from training images, MPS enables the modeling of complex curvilinear structures (e.g., sinuous channels) in a much more geologically realistic way than traditional two-

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Salerni, Annabella, Gloria Gambini, Chiara Fedeli, et al. "OCT-Angiography Findings in Patients with Amblyopia: Comparison between Healthy Controls, Treatment-Responsive, and Treatment-Unresponsive Amblyopic Patients." Diagnostics 11, no. 10 (2021): 1751. http://dx.doi.org/10.3390/diagnostics11101751.

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There is no consensus on whether amblyopia affects the retinal vascular plexus and morphology. Previous studies focused on the differences between amblyopic patients and normal controls without evaluating amblyopic eyes after patching. To evaluate differences in the superficial vascular density of amblyopic eyes, normal eyes, and amblyopic eyes reaching normal BCVA after patch therapy, OCTA was used. All patients underwent a comprehensive ophthalmological examination, including visual acuity, refraction, ocular motility tests, and anterior and posterior segment examination. OCTA was performed

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Zhou, Jiawei, Alexandre Reynaud, Yeon Jin Kim, Kathy T. Mullen, and Robert F. Hess. "Chromatic and achromatic monocular deprivation produce separable changes of eye dominance in adults." Proceedings of the Royal Society B: Biological Sciences 284, no. 1867 (2017): 20171669. http://dx.doi.org/10.1098/rspb.2017.1669.

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Temporarily depriving one eye of its input, in whole or in part, results in a transient shift in eye dominance in human adults, with the patched eye becoming stronger and the unpatched eye weaker. However, little is known about the role of colour contrast in these behavioural changes. Here, we first show that the changes in eye dominance and contrast sensitivity induced by monocular eye patching affect colour and achromatic contrast sensitivity equally. We next use dichoptic movies, customized and filtered to stimulate the two eyes differentially. We show that a strong imbalance in achromatic

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Menang PhD, Ophilia Abianji. "The Modern African Woman and the Politics of Reconciling Career and Domestic Activities." International Journal of Social Sciences and Humanities Invention 6, no. 4 (2019): 5384–90. http://dx.doi.org/10.18535/ijsshi/v6i4.03.

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In early African male fiction, women were not allowed to go to school. They were pushed to the periphery where they occupied marginal spaces. They had no voice in public. They were expected to perform household duties concerning childbearing and domestic functions. These are roles that domesticated women and made them dependent on their husbands for survival. However, urbanization and the spread of female education has given women more space and opportunities for survival and livelihood. In addition to culturally assigned roles, women are now educated and have acquired skills which enable them

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Chavarro, Adrian F., Diego Renza, and Dora M. Ballesteros. "Influence of Hyperparameters in Deep Learning Models for Coffee Rust Detection." Applied Sciences 13, no. 7 (2023): 4565. http://dx.doi.org/10.3390/app13074565.

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Most of the world’s crops can be attacked by various diseases or pests, affecting their quality and productivity. In recent years, transfer learning with deep learning (DL) models has been used to detect diseases in maize, tomato, rice, and other crops. In the specific case of coffee, some recent works have used fixed hyperparameters to fine-tune the pre-trained models with the new dataset and/or applied data augmentation, such as image patching, to improve classifier performance. However, a detailed evaluation of the impact of architecture (e.g., backbone) and training (e.g., optimizer and le

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Kesidis, Anastasios L., Vassilios Krassanakis, Loukas-Moysis Misthos, and Nikolaos Merlemis. "patchIT: A Multipurpose Patch Creation Tool for Image Processing Applications." Multimodal Technologies and Interaction 6, no. 12 (2022): 111. http://dx.doi.org/10.3390/mti6120111.

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Patch-based approaches in image processing are often preferable to working with the entire image. They provide an alternative representation of the image as a set of partial local sub-images (patches) which is a vital preprocessing step in many image processing applications. In this paper, a new software tool called patchIT is presented, providing an integrated framework suitable for the systematic and automatized extraction of patches from images based on user-defined geometrical and spatial criteria. Patches can be extracted in both a sliding and random manner and can be exported either as i

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Françoso, Maria Teresa, Carolina Oyama Mota, Tadeu Rosanti Sugahara Medeiros Lima, and Creso De Franco Peixoto. "Nondestructive Testing in Asphalt Pavements Using Ground Penetrating Radar (GPR)." Applied Mechanics and Materials 303-306 (February 2013): 525–28. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.525.

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This paper presents the results of using the system GPR (Ground Penetrating Radar), as an alternative that uses radio waves at frequencies from 10 to 2500 MHz to get data that enable non-destructive conduct inspections of underground or concrete structures in real time. The research aims to investigate asphalt pavements, analyzing the variations in the responses, which can reveal the presence of pathologies or defects. A case study was made acquiring data, at the State University of Campinas - UNICAMP, in Campinas – SP – Brazil, with antennae 270 and 1600 MHz, in pavements with visible defects

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Zwiers, Marcel P. "Patching cardiac and head motion artefacts in diffusion-weighted images." NeuroImage 53, no. 2 (2010): 565–75. http://dx.doi.org/10.1016/j.neuroimage.2010.06.014.

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Guo, H., J. Stach, R. Panaccione, and P. J. Belletrutti. "A118 UPPER GASTROINTESTINAL HEMORRHAGE SECONDARY TO SUPERIOR MESENTERIC ARTERY PSEUDOANEURYSM: CASE REPORT AND REVIEW OF LITERATURE." Journal of the Canadian Association of Gastroenterology 5, Supplement_1 (2022): 137–38. http://dx.doi.org/10.1093/jcag/gwab049.117.

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Abstract Background Visceral artery pseudoaneurysms (VAPAs) are rare with an estimated incidence of 0.1%-0.2%. Due to various etiologies, a tear occurs in the vessel wall with subsequent formation of a peri-artery hematoma. A ruptured VAPA is a clinical emergency due to life-threatening hemorrhage and is associated with mortality rates of 25%-75%. Aims We report a case of upper gastrointestinal (GI) hemorrhage secondary to a ruptured superior mesenteric artery (SMA) pseudoaneurysm. A review of the literature regarding management of VAPAs and SMA pseudoaneurysms was performed using relevant med

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Zheng, Jinghong, Zhengguo Li, Zijian Zhu, Shiqian Wu, and Susanto Rahardja. "Hybrid Patching for a Sequence of Differently Exposed Images With Moving Objects." IEEE Transactions on Image Processing 22, no. 12 (2013): 5190–201. http://dx.doi.org/10.1109/tip.2013.2283401.

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Elnagar, A. "Patching and Projection of Multiple Overlapping Images onto 3-D Developable Structures." International Journal of Modelling and Simulation 21, no. 3 (2001): 201–8. http://dx.doi.org/10.1080/02286203.2001.11442203.

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Bai, Yuanchao, Xu Yang, Xianming Liu, et al. "Towards End-to-End Image Compression and Analysis with Transformers." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (2022): 104–12. http://dx.doi.org/10.1609/aaai.v36i1.19884.

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We propose an end-to-end image compression and analysis model with Transformers, targeting to the cloud-based image classification application. Instead of placing an existing Transformer-based image classification model directly after an image codec, we aim to redesign the Vision Transformer (ViT) model to perform image classification from the compressed features and facilitate image compression with the long-term information from the Transformer. Specifically, we first replace the patchify stem (i.e., image splitting and embedding) of the ViT model with a lightweight image encoder modelled by

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Sjafri, Fifi Susanti, Khairul Nizam Abdul Maulud, Wan Shafrina Wan Mohd Jaafar, Faiz Arif, Abdul Aziz Ab Rahman, and Muhammad Mukhlisin. "Development of Road Maintenance Inventory in UKM by Using Aerial Images." Jurnal Kejuruteraan si1, no. 2 (2018): 73–78. http://dx.doi.org/10.17576/jkukm-2018-si1(2)-09.

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Nowadays, all data and information management is conducted in integrated digital form. The same goes for inventory management of road maintenance to ensure the updated road information. Geographical Information System (GIS) is a powerful application and able to analyse and store all the geospatial data. The objective of this study is to identify the physical condition of the roads in UKM based on information from the unmanned aerial vehicle (UAV) technology, to produce spatial data storage of road distresses and to analyse the frequency of road distress in UKM. This study was carried out in th

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Sudarsana, I. Ketut, I. Wayan Lali Yogantara, and Ni Wayan Ekawati. "Cyber Bullying Prevention And Handling Through Hindu Family Education." Jurnal Penjaminan Mutu 5, no. 2 (2019): 170. http://dx.doi.org/10.25078/jpm.v5i2.1090.

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<p><em>Technological developments have positive and negative impact on teenagers in particular. The most common negative impact of technology is cyber bullying. In globalization era and technological development, nowadays computer can produce multifunctional internet. All good and evil behavior can be done on social media. Before the development of the internet, cyber bullying actor committed their crimes in the real world. Cyber bullying actor can hurt and make many individuals uncomfortable in their lives. The crime is called bullying. Nowadays, the bullying can be done through a

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Okawa, Marina, Takafumi Taketomi, Goshiro Yamamoto, et al. "A model-based tracking framework for textureless 3D rigid curved objects." Journal on Interactive Systems 3, no. 2 (2013): 1. http://dx.doi.org/10.5753/jis.2012.611.

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This paper addresses the problem of tracking texturelessrigid curved objects. A common approach uses polygonalmeshes to represent curved objects inside an edge-based trackingsystem. However, in order to accurately recover their shape,high quality meshes are required, creating a trade-off betweencomputational efficiency and tracking accuracy. To solve thisissue, we suggest the use of quadrics calculated for each patchin the mesh to give local approximations of the object contour.This representation reduces considerably the level of detail of thepolygonal mesh while maintaining tracking accuracy

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Delgado-López, Pedro David, Cecilia Gil-Polo, Vicente Martín-Velasco, Javier Martín-Alonso, Ana María Galacho-Harriero, and Elena Araus-Galdós. "Spinal cord herniation repair with microstaples: case report." Journal of Neurosurgery: Spine 26, no. 3 (2017): 384–87. http://dx.doi.org/10.3171/2016.8.spine16318.

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Idiopathic spinal cord herniation (ISCH) is a relatively rare and frequently misdiagnosed condition. It preferentially affects women and causes progressive thoracic myelopathy that presents as a Brown-Séquard syndrome or as spastic paraparesis. Although its etiology and pathogenesis are controversial, ISCH is characterized by the presence of an anterior dural defect that allows the incarceration of a segment of the cord. Typically, a C-shaped ventral displacement and kinking of the cord are visible on sagittal MRI. Surgery aimed at stopping or reversing myelopathic symptoms is usually recommen

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Abdel-Basset, Mohamed, Hossam Hawash, Khalid Abdulaziz Alnowibet, Ali Wagdy Mohamed, and Karam M. Sallam. "Interpretable Deep Learning for Discriminating Pneumonia from Lung Ultrasounds." Mathematics 10, no. 21 (2022): 4153. http://dx.doi.org/10.3390/math10214153.

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Lung ultrasound images have shown great promise to be an operative point-of-care test for the diagnosis of COVID-19 because of the ease of procedure with negligible individual protection equipment, together with relaxed disinfection. Deep learning (DL) is a robust tool for modeling infection patterns from medical images; however, the existing COVID-19 detection models are complex and thereby are hard to deploy in frequently used mobile platforms in point-of-care testing. Moreover, most of the COVID-19 detection models in the existing literature on DL are implemented as a black box, hence, they

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Marsik, Matthew, Forrest R. Stevens, and Jane Southworth. "Amazon deforestation: Rates and patterns of land cover change and fragmentation in Pando, northern Bolivia, 1986 to 2005." Progress in Physical Geography: Earth and Environment 35, no. 3 (2011): 353–74. http://dx.doi.org/10.1177/0309133311399492.

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Much research has focused on deforestation in the Amazon, particularly with proximity to roads and population centers as proximate causes. This research presents the analysis of rates and patterns of land cover change in Pando, northern Bolivia, an area with most of its tropical humid forest still intact. Using a decision tree classifier, five forest/non-forest (FNF) classifications were created for 1986, 1991, 1996, 2000, and 2005 from 40 Landsat images that were preprocessed and mosaicked. FNF trajectory images were created for each date pair to indicate areas of stable forest and non-forest

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Aljuboori, Zaid, Margaret McGrath, Muhammed Amir Essibayi, Saif Zaidi, Danial Hallam, and Basavaraj Ghodke. "Spontaneous spinal cerebrospinal fluid venous-fistula treated with transvenous embolization: A case report." Surgical Neurology International 12 (September 30, 2021): 492. http://dx.doi.org/10.25259/sni_878_2021.

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Background: Spinal cerebrospinal fluid venous fistula (CVF) is a recognized cause of chronic positional headache and spontaneous intracranial hypotension (SIH). It occurs due to an aberrant connection formed between the spinal subarachnoid space and an adjacent spinal epidural vein. The diagnosis of CVF can be difficult to establish but can be documented utilizing advanced imaging techniques (e.g., enhanced MR myelography/digital subtraction myelography). Their treatment involves surgical ligation of the involved nerve root, imaging-guided epidural blood patching, and/or endovascular embolizat

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Irwin, Mitchell T., Steig E. Johnson, and Patricia C. Wright. "The state of lemur conservation in south-eastern Madagascar: population and habitat assessments for diurnal and cathemeral lemurs using surveys, satellite imagery and GIS." Oryx 39, no. 2 (2005): 204–18. http://dx.doi.org/10.1017/s0030605305000451.

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The unique primates of south-eastern Madagascar face threats from growing human populations. The country's extant primates already represent only a subset of the taxonomic and ecological diversity existing a few thousand years ago. To prevent further losses remaining taxa must be subjected to effective monitoring programmes that directly inform conservation efforts. We offer a necessary first step: revision of geographic ranges and quantification of habitat area and population size for diurnal and cathemeral (active during both day and night) lemurs. Recent satellite images are used to develop

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Anwar, Hirra, Saad Ullah Khan, Muhammad Mohsin Ghaffar, et al. "The NWRD Dataset: An Open-Source Annotated Segmentation Dataset of Diseased Wheat Crop." Sensors 23, no. 15 (2023): 6942. http://dx.doi.org/10.3390/s23156942.

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Wheat stripe rust disease (WRD) is extremely detrimental to wheat crop health, and it severely affects the crop yield, increasing the risk of food insecurity. Manual inspection by trained personnel is carried out to inspect the disease spread and extent of damage to wheat fields. However, this is quite inefficient, time-consuming, and laborious, owing to the large area of wheat plantations. Artificial intelligence (AI) and deep learning (DL) offer efficient and accurate solutions to such real-world problems. By analyzing large amounts of data, AI algorithms can identify patterns that are diffi

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Chang, Yet-Chung, Shu-Kun Hsu, and Ching-Hui Tsai. "SIDESCAN SONAR IMAGE PROCESSING:CORRECTING BRIGHTNESS VARIATION AND PATCHING GAPS." Journal of Marine Science and Technology 18, no. 6 (2010). http://dx.doi.org/10.51400/2709-6998.1935.

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Sreejith, S., R. Subramanian, and S. Karthik. "Using patching asymmetric regions to assess ischemic stroke lesion in neuro imaging." Journal of Intelligent & Fuzzy Systems, March 7, 2022, 1–10. http://dx.doi.org/10.3233/jifs-212457.

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Ischemic stroke is a universal ailment that endangers the life of patients and makes them bedridden until death. Over a decade, doctors and radiologists have been dissecting patient status straightforwardly from the printouts of the slice images delivered by different diagnostic imaging modalities. Computed Tomography (CT) is a frequently used imaging strategy for therapeutic analysis and neuroanatomical investigations. The main objective of the paper is to develop a simple technique with less architectural complication and power consumption. The proposed work is to section the ischemic stroke

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Manning, Jeffrey, and Jack Shotton. "Ihara’s Lemma for Shimura curves over totally real fields via patching." Mathematische Annalen, September 25, 2020. http://dx.doi.org/10.1007/s00208-020-02048-8.

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Abstract We prove Ihara’s lemma for the mod l cohomology of Shimura curves, localized at a maximal ideal of the Hecke algebra, under a large image hypothesis on the associated Galois representation. This was proved by Diamond and Taylor, for Shimura curves over $$\mathbb {Q}$$ Q , under various assumptions on l. Our method is totally different and can avoid these assumptions, at the cost of imposing the large image hypothesis. It uses the Taylor–Wiles method, as improved by Diamond and Kisin, and the geometry of integral models of Shimura curves at an auxiliary prime.

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