Discover, Explain, Improve: An Automatic Slice Detection Benchmark for Natural Language Processing by Wenyue Hua, Lifeng Jin, Linfeng Song, Haitao Mi, Yongfeng Zhang, Dong Yu

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Detection of QTLs controlling heading date in the process of rice development at two environments by BAO Jin-song, BAO Zhi-yi, HE Ping, ZHU Li-huang

“…Two QTL, qHD-1-1 and qHD-12 could be detected at both environments, the others were only detected at one environment. …”
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Detection of soybean by real-time PCR in the samples subjected to deep technological processing by K. A. Kurbakov, E. A. Konorov, V. N. Zhulinkova, M. Yu. Minaev

“…We confirmed its high sensitivity and specificity for soybean detection by real-time PCR. Using the selected system, we successfully analyzed the samples of meat-and-plant canned foods and other food products subjected to deep technological processing — tofu, preserved tofu, soy sauces, confectionary products containing soy lecithin. …”
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Robustness and Efficiency Considerations When Testing Process Reliability with a Limit of Detection by Laura S. Bumbulis, Richard J. Cook

Subjects: “…process reliability…”
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Development of an automatic egg fertility detection system applying image processing technique by Võ Như Thành, Đinh Quỳnh Như, Nguyễn Đắc Minh Triết, Phạm Anh Đức

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Study on Support Vector Machine-Based Fault Detection in Tennessee Eastman Process by Shen Yin, Xin Gao, Hamid Reza Karimi, Xiangping Zhu

“…This paper investigates the proficiency of support vector machine (SVM) using datasets generated by Tennessee Eastman process simulation for fault detection. Due to its excellent performance in generalization, the classification performance of SVM is satisfactory. …”
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Face Detection Using Hybrid SNN-ANN to Process Neuromorphic Event Stream by Waseem Shariff, Paul Kielty, Joe Lemley, Peter Corcoran

“…This paper tackles the challenges of face detection, a vital computer vision task with wide-ranging applications, particularly in driver monitoring systems, where both accuracy and computational efficiency are crucial. …”
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Detecting Damage in Thin Plates by Processing Infrared Thermographic Data with Topological Derivatives by M. Pena, M.-L. Rapún

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Recent advances in machine learning for defects detection and prediction in laser cladding process by X.C. Ji, R.S. Chen, C.X. Lu, J. Zhou, M.Q. Zhang, T. Zhang, H.L. Yu, Y.L. Yin, P.J. Shi, W. Zhang

“…Leveraging data-driven machine learning algorithms enables the monitoring and detection of defects throughout the laser cladding process. …”
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Water Level Detection and Flood Early Warning System Using Image Processing by Muhammad Akmal Ilmi, I Komang Somawirata, Michael Ardita

“…This study focuses on the application of image processing technology to detect river water levels using CCTV cameras as part of a flood early warning system in a smart city. …”
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Ripe-Detection: A Lightweight Method for Strawberry Ripeness Detection by Helong Yu, Cheng Qian, Zhenyang Chen, Jing Chen, Yuxin Zhao

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Multi release software reliability modelling incorporating fault generation in detection process and fault dependency with change point in correction process by Sujit Kumar Pradhan, Anil Kumar, Vijay Kumar

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The lived experience of migrant Syrian mothers’ interaction with the neonatal screening program by Mehmet Akif Sezerol, Zeynep Meva Altaş, Emrullah Arslan

Subjects: “…Newborn screening program…”
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Stationauxiliary operation technology for sonar digital image processing based on machine vision by DAI Zhonghua, JIN Qiaoyuan, YANG Ding, CHENG Yu

“…A station auxiliary operation technology for sonar digital image processing based on machine vision is proposed. First, the transient signal detection algorithm is used to extract the threat target mutation signal. …”
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A Systematic Literature Review on Large Language Models Applications in Computer Programming Teaching Evaluation Process by Andre Fabiano Pereira, Rafael Ferreira Mello

“…Tools based on the use of Large Language Models (LLMs) have improved the computer programming teaching process, automated feedback processes, facilitated program repair, and enabled personalized learning experiences. …”
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Assessment of Breast Cancer Early Detection Program's Activities in Primary Health Care Centers in Baghdad City by Hala S. Abdul-Wahid, Sajida Khamis Abdullah

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Online Outlier Detection for Time-varying Time Series on Improved ARHMM in Geological Mineral Grade Analysis Process by Jianjun Zhao, Junwu Zhoub, Weixing Su, Fang Liu

“…Given the difficulty of accurate online detection for massive data collecting real-timely in a strong noise environment during the complex geological mineral grade analysis process, an order self-learning ARHMM (Autoregressive Hidden Markov Model) algorithm is proposed to carry out online outlier detection in the geological mineral grade analysis process. …”
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Automatic Measurement in Metallography by A. G. Anisovich, M. I. Markevich, Vanchinkhuu Jigmeddorj

“…To obtain quantitative data and build dependencies, metallographic image processing programs are used, oriented both for scientific research and for use in industry. …”
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Leveraging the Power of Zero-Shot Learning for Malware Detection Using Application Programming Interface Call Sequences by P. Meena, K. P. Rama Prabha

“…Malware developers often utilize Application Programming Interface (API) calls to carry out these attacks. …”
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Expert council resolution on regional program of early T2D detection, prevention and treatment in Russian Federation by Marina V. Shestakova, Oksana M. Drapkina, Sergey A. Boitsov, Luybov Y. Drozdova, Aleksander Y. Mayorov, Gagik R. Galstyan, Olga Y. Sukhareva

“…To date, there is a need to develop integrated program of type 2 diabetes and prediabetes early detection and care. …”
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