Microscopic Congestion Detection Protocol in VANETs by Mushtaq Ahmad, Qingchun Chen, Zahid Khan

“…In this paper, the microscopic congestion detection protocol (MCDP) is proposed to make the vehicle-to-vehicle (V2V) communication capable of monitoring vehicle density and identifying traffic jam. …”
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Simple alteration of light microscope to detect synovial fluid crystals by Manesh Manoj, Rasmi Ranjan Sahoo, Anupam Wakhlu

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Research on intelligent identification of microscopic substances in shale scanning electron microscope images based on deep learning theory by Ruigang Zhang, Xiangru Chen, Xin Tang, Qiuqi Chen, Sen Guo, Cheng Liu, Zhengchao Guo, Yuerong Zhou, Xiaoyi Zhou

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An Efficient Deep Learning Approach for Malaria Parasite Detection in Microscopic Images by Sorio Boit, Rajvardhan Patil

“…<b>Methods:</b> The proposed EDRI model is trained and evaluated on the NIH Malaria dataset comprising 27,558 labeled microscopic red blood cell images. <b>Results:</b> Experiments demonstrate its effectiveness, achieving an accuracy of 97.68% in detecting malaria, making it a valuable tool for clinicians and public health professionals. …”
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Microscopically and Molecular Detection of Theileria Species in Sheep in Baghdad Province, Iraq by Azhar Faraj, Dhirar Assi

“…All samples were examined by microscopic examination, and 100 blood samples collected randomly from total 180 were molecular detection by using conventional PCR. …”
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Microscopic and molecular detection of Cytauxzoon spp. in cats in Mosul city, Iraq by Sura S. Aghwan, Enas S. Hussein, Salam A Esmaeel

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Enhanced Detection of Leishmania Parasites in Microscopic Images Using Machine Learning Models by Michael Contreras-Ramírez, Jhonathan Sora-Cardenas, Claudia Colorado-Salamanca, Clemencia Ovalle-Bracho, Daniel R. Suárez

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Unusual findings in diarrheal disease: Detection of a microscopic entity of unclear significance by J. Zintgraff, M. Peña, V. Di Matteo, R. Astesana, A. Fernández Garcés, G. Astudillo

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Detection of Mycobacterium tuberculosis In Urinary Bladder Cancer Tissues By Using Transmission Electron Microscope by Hashim Raheem Tarish, Asaad Aljanabi, Zina Mohammed Abdul-Hussein

“…Objectives: microscopical detection of Mycobacterium tuberculosis in urinary bladder cancer. …”
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Deep learning model for early acute lymphoblastic leukemia detection using microscopic images by Vatsala Anand, Prabhnoor Bachhal, Deepika Koundal, Arvind Dhaka

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Quantitative Detection of the Contrast of Electron Microscopic Images of Amorphous Nanomaterials with the Complex Chemical Composition by M.Y. Bobyk, V.P. Ivanytskiy, V.S. Kovtunenko, O.Y. Svatyuk

“…Physically strict detection of the contrast of electron microscopic images of amorphous nanomaterials has been proposed. …”
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A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging by Mimosette Makem, Levente Tamas, Lucian Bușoniu

“…However, its diagnosis under the microscope is tedious and time-consuming. The advancement of deep convolutional neural networks (CNNs) in image classification has enabled new techniques in automated disease detection systems. …”
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Detecting Important Features and Predicting Yield from Defects Detected by SEM in Semiconductor Production by Umberto Amato, Anestis Antoniadis, Italia De Feis, Anastasiia Doinychko, Irène Gijbels, Antonino La Magna, Daniele Pagano, Francesco Piccinini, Easter Selvan Suviseshamuthu, Carlo Severgnini, Andres Torres, Patrizia Vasquez

“…This study investigates the link between the defects detected by a Scanning Electron Microscope (SEM) and the electrical failure of the final semiconductors, with two main objectives: (a) to identify the best layers to inspect by SEM; (b) to develop a model that predicts electrical failures of the semiconductors from the detected defects. …”
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Microscopic detection of hemozoin in peripheral leukocytes fails to indicate plasmodial placental infection in pregnant women by Carolina Lopez, Yurley Alvarez, Eliana Arango, Jaime Carmona-Fonseca, Amanda Maestre

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A Retrospective Epidemiological Analysis of Microscopically Detected Babesiosis in Dogs of Southern Poland (2018–2022) by Olga Pawełczyk, Paulina Iwase, Bartosz Wierzba, Milena Kretschmer, Robert Wojtyczka, Krzysztof Solarz

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Application of microscopic image processing and artificial intelligence detecting and classifying the spores of three novel species of Trichoderma by Fatemeh Soltani Nezhad, Kamran Rahnama, Seyed Mohamad Javidan, Keyvan Asefpour Vakilian

“…Microscopic image processing techniques have been developed to make the spore detection process intelligent, resulting in a faster and more accurate output. …”
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An intelligent method for detection of small target fungal wheat spores based on an improved YOLOv5 with microscopic images by Zhizhou Ren, Kun Liang, Yingqi Zhang, Jinpeng Song, Xiaoxiao Wu, Chi Zhang, Xiuming Mei, Yi Zhang, Xin Liu

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Microscopic detection and genetic characterisation of schistosome eggs within cervicovaginal lavage sediments from cases of female genital schistosomiasis by J. Russell Stothard, Bright Mainga, Dingase Kumwenda, Alice Chisale, Tereza Nchembe, Christine Rice, Lilly Atkins, Guillery Deles, Sam Jones, Lucas J. Cunningham, Peter Makaula, Sekeleghe A. Kayuni, Janelisa Musaya

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Microscopic features of lignin deposition patterns in young apple roots using brightfield and fluorescence imaging by Yanmin Zhu, Jordan Rainbow, Zhe Zhou

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Necrobiosis Lipoidica through the Microscope by Parul Mehrotra, Rajalakshmi Tirumalae

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