The Application of the Rabin-Karp Algorithm with the Synonym Recognition Approach to Detect Plagiarism in Student Assignments by Irma Handayani, Anita Fira Waluyo

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Comparative Analysis of Keypoint Detection Performance in SIFT Implementations on Small-Scale Image Datasets by Arif Rahman, Suprihatin, Imam Riadi, Tawar, Furizal

“…SIFT has been implemented in different program libraries. However, studies that analyze the performance of SIFT implementations have not been conducted. …”
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Development of an Immunoassay for the Detection of Amyloid Beta 1-42 and Its Application in Urine Samples by Anurak Wongta, Surat Hongsibsong, Somporn Chantara, Mookda Pattarawarapan, Ratana Sapbamrer, Korawan Sringarm, Zhen-Lin Xu, Hong Wang

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Evaluating Pipeline Inspection Technologies for Enhanced Corrosion Detection in Mining Water Transport Systems by Víctor Tuninetti, Matías Huentemilla, Álvaro Gómez, Angelo Oñate, Brahim Menacer, Sunny Narayan, Cristóbal Montalba

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Caries Detection Methods Based on Changes in Optical Properties between Healthy and Carious Tissue by Lena Karlsson

“…A conservative, noninvasive or minimally invasive approach to clinical management of dental caries requires diagnostic techniques capable of detecting and quantifying lesions at an early stage, when progression can be arrested or reversed. …”
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Loop-mediated isothermal amplification assays for the detection of antimicrobial resistance elements in Vibrio cholera by Daniel Antonio Negrón, Shipra Trivedi, Nicholas Tolli, David Ashford, Gabrielle Melton, Stephanie Guertin, Katharine Jennings, Bryan D. Necciai, Shanmuga Sozhamannan, Bradley W. Abramson

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Preeruptive Intracoronal Radiolucencies: Detection and Nine Years Monitoring with a Series of Dental Radiographs by Chanika Manmontri, Phattaranant May Mahasantipiya, Papimon Chompu-inwai

“…The lesion was initially detected on an unerupted tooth at age eight years, eight months. …”
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Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies by Tian ZHENG, Xinheng WANG, Xiaolan PENG, Ning SU, Tianyi XU, Xurong XIE, Jin HUANG, Lun XIE, Feng TIAN

“…In this context, artificial intelligence techniques have demonstrated promising potential for the objective assessment and detection of NCDs. Multimodal contactless screening technologies, such as speech-language processing, computer vision, and virtual reality, offer efficient and convenient methods for disease diagnosis and progression tracking. …”
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Integrating representation learning, permutation, and optimization to detect lineage-related gene expression patterns by Hannah M. Schlüter, Caroline Uhler

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A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

“…Damage detection of concrete structures based on finite element model and measured response parameters has been an important research topic in recent years. …”
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Spiner, deep learning-based automated detection of spiral ganglion neurons in intact cochleae by Yuheng Cai, Greta M. Leitz-Najarian, Reuben Rosen, Kendall A. Hutson, Adele Moatti, Chen Li, Douglas C. Fitzpatrick, Alon Greenbaum

“…Using this approach, Type I SGNs in intact gerbil and pig cochleae were detected and counted in 3D, and Spiner counts were consistent with manual counts. …”
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Immunohistochemical Detection of CD147 Expression in Adenocarcinoma of the Prostate: A Case-Control Study by Sara Suliman, Mona Ellaithi

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Comparative analysis on few-shot models performance for improving object detection in the military Domain by Junsub Kim, Dongnyeok Choi

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An Update on the Role of Alanine Aminotransferase in the Detection of Chronic Liver Diseases Relevant to Primary Care by Said A. Al-Busafi, Ahmed Alwassief, Mohammed Al-Azri

“…Alanine aminotransferase (ALT) is a key biomarker used in primary care to detect chronic liver diseases, particularly in high-risk populations such as those with metabolic syndrome and obesity. …”
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Gait-Based Parkinson’s Disease Detection Using Recurrent Neural Networks for Wearable Systems by Carlos Rangel-Cascajosa, Francisco Luna-Perejón, Saturnino Vicente-Diaz, Manuel Domínguez-Morales

“…The lack of specific screening tests and notable disease biomarkers, combined with the strain on healthcare systems, leads to delayed detection of the disease, which worsens its progression. …”
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Innovative approach to the detection of circulating tumor biomarkers: multi-dimensional application of liposome technology by Weichu Tan, Yitong Zhu, Siting Chen

“…Circulating tumor markers, such as circulating tumor cells (CTCs), extracellular vesicles (EVs), circulating tumor proteins (CTPs), and circulating tumor nucleic acids (ctNAs), play a key role in early cancer diagnosis, disease progression monitoring, and personalized therapy. Liposome-based platforms enable effective molecular recognition, targeted detection, and signal amplification by targeting circulating tumor biomarkers, significantly increasing the potential for early tumor diagnosis and treatment. …”
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The STR Line-of-Sight Pointing and Acquisition in the Gravitational Wave Detection Interstellar Laser Link by Sibo Liang, Xin Zhao, Tong Wang, Cheng Han

“…The TianQin space gravitational wave detection Program uses star tracker (STR) and a charge coupled device (CCD)/ quadrant photodiode (QPD) to complete the construction of a bidirectional satellite laser link to achieve high-precision laser acquisition and tracking control. …”
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Analysis of Possibilities to Automate Detection of Unscrupulous Microfinance Organizations based on Machine learning Methods by Yu. M. Beketnova

“…The microfinance sector in Russia is progressing. However, the engagement of microfinance organizations in illegal financial transactions associated with fraud, illegal creditors, money laundering, significantly limits their potential and has negative impact on their development. …”
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Volatile Organic Metabolites as Potential Biomarkers for Genitourinary Cancers: Review of the Applications and Detection Methods by Kiana L. Holbrook, Wen-Yee Lee

“…Furthermore, it explores the applications of using VOCs as cancer biomarkers, various analytical techniques, and comparisons of extraction and detection methods across different biospecimens. The potential use of VOCs in detection, monitoring disease progression, and treatment responses in the field of genitourinary oncology is examined.…”
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A weakly supervised method for 3D object detection with partially annotated samples by Bin Lu, Qing Li, Yanju Liang

“…Through heatmap prediction, we successfully facilitate knowledge transfer between the image detection and 3D point cloud detection models. Additionally, we conduct extensive experiments to evaluate the performance of our models under different parameters in the domain adaptation process, employing Exponential Moving Average (EMA) progressive learning. …”
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