An algorithm for managing surgical patients with acute retinal necrosis by V. V. Neroev, P. A. Ilyukhin, V. E. Tankovsky, R. A. Fedotov

“…To increase the efficiency of surgical treatment and develop an algorithm for managing patients with the consequences of acute retinal necrosis (ARN).Material and methods. …”
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Diagnosis and treatment of liver injuries in blunt abdominal injury using minimally invasive technologies by Ya. V. Gavrishchuk, V. A. Manukovsky, A. N. Tulupov, A. E. Demko, E. A. Kolchanov, V. E. Savello, M. N. Pravosud

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Within-laboratory SARS-CoV-2 real time PCR testing operations in Nepal: a simulation-based analysisResearch in context by Fannie L. Côté, Nadia Lahrichi, Erica Gralla, Hannah Bakker, Parvathy Krishnan Krishnakumari, Joaquim Gromicho, Arunkumar Govindakarnavar, Runa Jha, Lilee Shrestha, Nirajan Bhusal, Saugat Shrestha, Rashmi Mulmi, Priya Jha, Reuben Samuel, Dhamari Naidoo, Victor J. del Rio Vilas

“…To address the increasing demand for tests to inform the epidemiology of the disease and for case management purposes, many countries made significant investments to rapidly expand laboratory capacity for detecting SARS-CoV-2. …”
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Use of Business Intelligence as a Strategic Information Technology in Banking: Farud Discovery & Detection by علی محقر, کارو لوکس, ، فرید حسینی, آصف علی منشی

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Design of an Intelligent Driver-Passenger Monitoring System for Metro Trains Based on Device-Edge-Cloud Integration by FENG Jian, FANG Peng, ZHAO Haibo, ZHANG Mingshuai

“…With the ongoing transition of urban rail transit towards intelligent systems, smart crew management has become vital to enhancing operational safety and efficiency. …”
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Research Progress on Video-based Abnormal Behavior Detection in the Grain Storage Industry by CHEN Wei-dong, DING Jun-dan, HAN Zhi-qiang, HE Wei, ZHANG Feng

“…Strengthening the safety management in confined space operations is an important foundation for preventing and reducing production safety accidents. …”
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A Two-Stage Machine Learning Approach for Calving Detection in Rangeland Cattle by Yuxi Wang, Andrés Perea, Huiping Cao, Mehmet Bakir, Santiago Utsumi

“…The proposed framework demonstrates the value of combining unsupervised and supervised machine learning techniques for detecting calving events in rangeland cattle under extensive management conditions. …”
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Importance of forensic accounting in the process of making decisions by the top management by Dragan Cvetković, Ljiljana Dimitrijević, Slaviša Đorđević

“…In this context, it is necessary for the top management to be innovatively disposed to apply new solutions that will facilitate the company's operations and through the application of which it will achieve better business results. …”
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Proposing Smart System for Detecting and Monitoring Vehicle Using Multiobject Multicamera Tracking by Phat Nguyen Huu, Bang Nguyen Anh, Quang Tran Minh

“…Nowadays, the strong development of the economy and society has driven the increase in traffic participation, making traffic management increasingly difficult. To effectively address this issue, AI applications are being applied to improve urban traffic management and operations. …”
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Blockage detection in pipelines based on linear frequency modulated acoustic reflection method by Haiyuan Yao, Dan Li, Yan Li, Bo Yang, Yang Meng

“…The system's capability to resolve multi-stage blockage boundaries enhances predictive maintenance strategies for ensuring energy-efficient pipeline operations and infrastructure integrity management. …”
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Exploration of Unsupervised Deep Learning-Based Gear Fault Detection for Wind Turbine Gearboxes by Bartłomiej Kiczek, Michał Batsch

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YOLO-OHFD: A YOLO-Based Oriented Hair Follicle Detection Method for Robotic Hair Transplantation by Hui Wang, Xin Liu

“…This study introduces YOLO-OHFD, a novel YOLO-based method using oriented bounding boxes (OBBs) for improved hair follicle detection in dermoscopic images, addressing the limitations of traditional HBB approaches by enhancing detection accuracy and computational efficiency. …”
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An Assessment of Practical Hands-On Lab Activities in Network Security Management by Te-Shun Chou, Nicholas Hempenius

“…These activities will help students become familiar with the operations of network security management and allow them to further apply practical skills to protect networks.…”
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Revolutionizing Financial management: Unleashing the power of AI for Sustainable Growth by Bhokare Arati S., Patil Snehal D., Kulkarni Praveen. M.

“…By cultivating more sustainable, effective, and efficient corporate practices, artificial intelligence (AI) reinvents financial management. Contemporary finance includes AI as an existential component. …”
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Efficacy of magnetic resonance imaging in managing glycogen storage disease by Jhii-Hyun Ahn, Yong Whi Jeong, Yong Bok Choi, Yunkoo Kang

“…Abstract Background Glycogen storage disease (GSD) is a rare genetic disorder requiring continuous management. It poses a risk of progression to hepatocellular adenoma (HCA) and hepatocellular carcinoma. …”
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A Spatiotemporal Feature-Based Approach for the Detection of Unlicensed Taxis in Urban Areas by Yun Xiao, Rongqiao Li, Jinyan Li

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Distributed Photovoltaic Power Outlier Detection Based on Quantile Regression Neural Network by WANG Xiaoqian, ZHOU Yusheng, MAO Yuanjun, LI Bin, ZHOU Wenqing, SU Sheng

“…The distributed photovoltaic power generation system is widely dispersed and lacks a scientific and standardized operation and maintenance management system. Due to the limited availability of data, it is difficult to accurately detect abnormal conditions in photovoltaic devices caused by fluctuations in weather. …”
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Level of Agreement Between Plaque Detection with Clinical Assessment and Assessment on Intraoral Scanner by Grigoria Gkavela, Pia Elisabeth Nørrisgaard, Christos Rahiotis

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Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines by Prince Waqas Khan, Yung-Cheol Byun

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Integrating ANN and ANFIS for effective fault detection and location in modern power grid by Yadav Goutam Kumar, Kirar Mukesh Kumar, Gupta S.C., Rajender Jatoth

“…The increasing complexity and demand for reliability in modern power systems necessitate advanced techniques for fault detection, classification, and location. This work presents a comprehensive study on the application of Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for fault management in power systems. …”
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