Video Detection and Fusion Tracking for the Targets in Traffic Scenario by Pan Li, Jianing Zhang, Chengxi Han, Luping Xu, Baoguo Feng, Yongjun Zhou, Sen Zhang, Bo Zhang

“…This shortfall has prompted increased attention and rapid development of fusion systems centered around radar and video. …”
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Machine vision model for drip leakage detection of pipeline. by Cong Xiao, Yiyuan Zhou, Yanwen Wu, Guodong Zhang

“…The prevailing trend in industrial equipment development is integration, with pipelines as the lifeline connecting system components. …”
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Detection of network intelligence features with the decision tree model by N. P. Sharaev, S. N. Petrov

“…The study was carried out to develop software module for detecting the features of network intelligence by machine learning methods.M e t h o d s . …”
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Research on Improved YOLOv7 for Traffic Obstacle Detection by Yifan Yang, Song Cui, Xuan Xiang, Yuxing Bai, Liguo Zang, Hongshan Ding

“…Object detection and recognition algorithms are widely used in applications such as real-time monitoring and autonomous driving. …”
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Dust detection algorithm based on improved YOLOv5 by Qinghua CHEN, Junwei ZHANG, Yingsong CHENG, Xu ZHANG, Jianhua CHENG

“…In recent years, dust detection methods based on image recognition have received full attention and development because they do not have installation and detection range limitations, but the real-time and accuracy of existing methods still need to be improved. …”
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Role of EEG as Biomarker in the Early Detection and Classification of Dementia by Noor Kamal Al-Qazzaz, Sawal Hamid Bin MD. Ali, Siti Anom Ahmad, Kalaivani Chellappan, Md. Shabiul Islam, Javier Escudero

“…The early detection and classification of dementia are important clinical support tasks for medical practitioners in customizing patient treatment programs to better manage the development and progression of these diseases. …”
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Use of deep learning in early software bug detection by Syed Mibran Hassan Zaidi, Maria Khan, Mustafa Latif, Ali Akhtar, Sallar Khan

“…Therefore, an efficient software bug detection model is a critically significant challenging operation, and that has been developed in this work by designing the efficient model while using the promises dataset as input for bug identification. …”
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Emerging technologies for dental calculus detection and their clinical applications by ZHANG Longjie, WANG Xuquan, ZHOU Min

“…This review provides the current mainstream methods for identifying dental calculus, compares and analyzes the advantages and disadvantages of each technology, and looks forward to the future development direction. This work aims to guide research and clinical application of dental calculus detection technologies.…”
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Optimizing Gammatone Cepstral Coefficients for Gear Fault Detection by Zrar Kh Abdul, Abdulbasit K. Al-Talabani, Wisam Hazim Gwad, Entisar Alkayal, Halgurd S. Maghdid, Safar Maghdid Asaad

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Research Advances in Nanosensor for Pesticide Detection in Agricultural Products by Li Feng, Xiaofei Yue, Junhao Li, Fangyao Zhao, Xiaoping Yu, Ke Yang

“…Furthermore, we highlight current challenges, ongoing efforts, and future directions in the development of pesticide detection nanosensors.…”
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A Comparison of Computational Approaches for Intron Retention Detection by Jiantao Zheng, Cuixiang Lin, Zhenpeng Wu, Hong-Dong Li

“…Continuous efforts have been dedicated to the development of IR detection methods. These methods differ in their metrics to quantify retention propensity, performance to detect IR events, functional enrichment of detected IRs, and computational speed. …”
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Non-invasive Hemoglobin Screening for Detection of Postpartum Anemia by Partha Pratim Das Mahapatra, Nirmal Kumar Mohakud, Chaitali Roy, Harshavardhan Rajagopal, Sandeep Sharma

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AI-Powered Mobile App for Nuclear Cataract Detection by Alicja Anna Ignatowicz, Tomasz Marciniak, Elżbieta Marciniak

“…The preliminary evaluations demonstrated a high accuracy in cataract detection and severity grading. These results confirm the approach is feasible and will serve as the foundation for ongoing development and extensions.…”
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Pioneering the use of micro-biomarkers in oral cancer detection by Namrutha D Shekar, L. Kayal, N. Aravindha Babu, Mukesh Kumar Dharmalingam Jothinathan, Iadalin Ryntathiang

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Strawberry Disease Detection Using Multispectral UAV Imagery by A. F. Cheshkova, V. S. Riksen

“…(Results and discussion) Analysis of the multispectral data enabled the identification of informative feature sets for distinguishing between healthy and fungus-infected strawberry plants. A disease detection model developed using the Random Forest algorithm, achieved a classification accuracy of 77%. …”
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Helmet Detection Device for Motorcycles for Safety Riding Porpuses by Dahlan Abdullah, Badriana Badriana, Misbahul Jannah, Dewi Rahayu, Bambang Setiaji, Cut Ita Erliana

“…To address this pressing issue, we propose the development of a helmet detection system for motorcycle riders. …”
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Electrochemical microfluidic biosensor for the detection of CD4+ T cells by Katarzyna Białas, Hui Min Tay, Chayakorn Petchakup, Razieh Salimian, Stephen G. Ward, Mark A. Lindsay, Han Wei Hou, Pedro Estrela

“…Its integration with a microfluidic chip for sensor fabrication and cell detection, compact size, minimal manual handling, ease of fabrication, electrochemical detection capability, and potential for multiplexing together with the detection range make the device particularly advantageous for use in low-resource settings, standing out among other devices described in the literature. …”
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Lysis Buffers for Detecting Pork Content in Food Products by Ulfah Lailatul Khoiriah, Pramudja Baydillah, Raden Darmawan, Nasori Nasori, Fadlilatul Taufany, Setiyo Gunawan

“…This issue has prompted the development of halal authentication techniques, including deoxyribonucleic acid (DNA) isolation followed by polymerase chain reaction (PCR) amplification to detect pork DNA. …”
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A Review of Stall Detection in Subsonic Axial Compressors by Kellie N. Wilson, Golam Gause Jaman, Anish Thapa, Amirthavarshini Vivekananda, Mitchell Lowe, Zachary Grima, Marco P. Schoen

“…As such, development of algorithms along with active control could lower cost, reduce emissions, improve safety, and increase market competitiveness. …”
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Optimizing screening procedures for early detection of glycemic disorders by Inna Vladimirovna Misnikova, Alexander Vasil'evich Dreval, Yulia Alexandrovna Kovaleva, Valeria Alekseevna Gubkina, Tatiana Sergeevna Lakeeva

“…To estimate the actual prevalence of type 2 diabetes mellitus (T2DM) and prediabetes in individuals at high risk for T2DM and to develop an optimized stepwise screening procedure. …”
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