An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas by S. J. Sugumar, R. Jayaparvathy

“…The received image is decomposed using Haar wavelet to obtain multilevel wavelet coefficients, with which we perform image feature extraction and similarity match between the elephant query image and the database image using image vision algorithms. …”
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Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement by Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li

“…This study offers theoretical and practical insights for synthetic dataset generation in construction, providing a future perspective to enhance CV task performance utilizing image synthesis.…”
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Spatiotemporal Characteristics of Pearl River Water Environment in Guangzhou Based on Remote Sensing Image Inversion by LIU Mengyao, FENG Dewang

Subjects: “…remote sensing image…”
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A Novel Copolymer-Based Functional SPECT/MR Imaging Agent for Asialoglycoprotein Receptor Targeting by Pu Zhang MS, Zhide Guo MS, Deliang Zhang MS, Chang Liu MS, Guibing Chen MM, Rongqiang Zhuang PhD, Manli Song MS, Hua Wu PhD, Xianzhong Zhang PhD

“…Molecular Imaging…”
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Dense Nursery Stock Detecting and Counting Based on UAV Aerial Images and Improved LSC-CNN by PENG Xiaodan, CHEN Fengjun, ZHU Xueyan, CAI Jiawei, GU Mengmeng

“…After enhancement, the training set consists of 3 192 images, and the testing set contains 456 images. Considering the large number of trees contained in each image, to reduce the cost of annotation, the method of selecting the center point of the trees was used for labeling. …”
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Protocol for multiplexed RNAscope-based imaging of mRNAs in whole-mount adult Drosophila brains by Meilin Wu, Vanessa Lambatan, Peng Guo, William J. Joiner

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Primary Omental Torsion in an Old Woman: Imaging Techniques Can Prevent Unnecessary Surgical Interventions by Mohhamad-Hadi Saeed Modaghegh, Reza Jafarzadeh

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The Role of Anatomical Imaging and Intraoperative Neuromonitoring (IONM) for Successful Prediction of a Nonrecurrent Laryngeal Nerve by Hiroki Kuwazoe, Keisuke Enomoto, Daichi Murakami, Naoko Kumashiro, Saori Takeda, Muneki Hotomi

“…We believe that it is important to confirm the presence or absence of an aberrant subclavian artery on preoperative imaging, and that IONM should be considered to identify the NRLN to prevent vocal cord paralysis if its presence is suspected.…”
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Idololatria Vilnensis: The Confessional Debates of Jesuits and Protestants on Sacred Images in the 16th Century Lithuania by Tomas Riklius

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Noninvasive Tracking of Encapsulated Insulin Producing Cells Labelled with Magnetic Microspheres by Magnetic Resonance Imaging by Vijayaganapathy Vaithilingam, Mandy M. W. Yim, Jayne L. Foster, Timothy Stait-Gardner, Jose Oberholzer, Bernard E. Tuch

“…This study aims to assess magnetic resonance imaging (MRI) as a noninvasive means to track microencapsulated insulin producing cells following transplantation. …”
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Recent Advances in Tetra-Coordinate Boron-Based Photoactive Molecules for Luminescent Sensing, Imaging, and Anticounterfeiting by Dingfang Hu, Rongrong Huang, Yu Fang

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Img2Vocab: Explore Words Tied to Your Life With LLMs and Social Media Images by Kanta Yamaoka, Ko Watanabe, Koichi Kise, Andreas Dengel, Shoya Ishimaru

“…We carried out our within-subject design evaluation of the system with 23 participants with three conditions: contexts grounded with learner’s Instagram photos, contexts grounded from general images, and text-only modality. From learners’ recall task accuracy, we found that having a context grounded with a learner’s social image allowed them to find difficult words to quickly learn than having context generated by someone’s image, or text only modality—although this finding is statistically insignificant. …”
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Quantifying Monomer–Dimer Distribution of Nanoparticles from Uncorrelated Optical Images Using Deep Learning by Abu S. M. Mohsin, Shadab H. Choudhury

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Analysis of Feature Extraction and Anti-Interference of Face Image under Deep Reconstruction Network Algorithm by Jin Yang, Yuxuan Zhao, Shihao Yang, Xinxin Kang, Xinyan Cao, Xixin Cao

“…Then, the portrait pyramid segmentation and local feature point segmentation are applied to extract the features of face images, and the matching of face feature points is achieved using Euclidean distance and joint Bayesian method. …”
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Monitoring Therapeutical Intervention with Ezetimibe Using Targeted Near-Infrared Fluorescence Imaging in Experimental Atherosclerosis by Kristof Graf, Thore Dietrich, Michael Tachezy, Frank-Detlef Scholle, Kai Licha, Philipp Stawowy, Michael Grafe, Peter Hauff, Eckart Fleck

“…Molecular Imaging…”
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The transformation of the image of God during the development of eating disorders and eventual therapy: a sociological study by Dariusz Tułowiecki

“… The text aims to present the image of God – a Higher Power being discovered as part of eating disorder therapy and the changes in the informant within her life. …”
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Stratification of Anatomical Imaging Features Between High-Risk and Non-High-Risk Groups in Neuroblastoma by Haoru Wang MD, Xin Chen MD, Ling He MD, Jinhua Cai MD, PhD

“…Background This study compared anatomical imaging features between high-risk and non-high-risk groups in neuroblastoma with at least one image-defined risk factor (IDRF). …”
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Smartphone image dataset for radish plant leaf disease classification from BangladeshMendeley Data by Mahamudul Hasan, Raiyan Gani, Mohammad Rifat Ahmmad Rashid, Maherun Nessa Isty, Raka Kamara, Taslima Khan Tarin

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Multiple Brain Abscesses due to Streptococcus anginosus: Prediction of Mortality by an Imaging Severity Index Score by K. O. Kragha

“…An elderly patient with altered mental status, brain abscesses, ventriculitis, and empyemas died of septic shock and brain abscesses secondary to Streptococcus anginosus despite aggressive treatment. An imaging severity index score with a better prognostic value than the Glasgow coma scale predicted mortality in this patient.…”
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Biologically Motivated Novel Localization Paradigm by High-Level Multiple Object Recognition in Panoramic Images by Sungho Kim, Min-Sheob Shim

“…The proposed localization paradigm consisted of three parts: panoramic image acquisition, multiple object recognition, and grid-based localization. …”
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