Prewhitening Followed by Sampling Versus Sampling Followed by Prewhitening for Detection by Kaushallya Adhikari, Steven Kay, Russell Costa

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Detection limitations of bacteria in tissue samples by Tim Holm Jakobsen, Julius Bier Kirkegaard, Mads Lichtenberg, Lasse Andersson Kvich, Hans Gottlieb, Martin McNally, Thomas Bjarnsholt

“…Aims: Successful identification of bacteria in tissue samples requires careful consideration of multiple factors, including sample type and quality, the type of bacteria being detected, and the sensitivity and specificity of the detection method. …”
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Air Monitoring: New Advances in Sampling and Detection by Nicola Watson, Stephen Davies, David Wevill

“…It also describes new, practical monitoring options for addressing equally challenging high-concentration industrial samples.…”
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Modern Psychoactive Substances and Their Detection in Biomedical Samples by A. M. Grigoryev, V. N. Fateenkov

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IoT intrusion detection method for unbalanced samples by ANTONG P, Wen CHEN, Lifa WU

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Evaluation of Moore and grab sampling method for Salmonella Typhi detection in environmental samples in Ghana. by Michael Owusu, Eric Darko, Debora Akortia, Gifty Nkrumah, Sampson Twumasi-Ankrah, Michael Owusu-Ansah, Christopher B Uzzell, Jonathan Rigby, Catherine M Troman, Nicolette A Zhou, John Scott Meschke, Alexander G Shaw, Nicholas C Grassly, Yaw Adu-Sarkodie, Ellis Owusu-Dabo

“…Precipitation (1.1 (95% CI: 1.02-1.10) and number of wet days (2.0 (95%CI: 1.40-2.88) were positively associated with an increased odds of S. Typhi detection in MS and GS.<h4>Conclusion</h4>Generally the proportion of S.Typhi detections in wastewater samples was less than blood culture-based detections. …”
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Effectiveness of Biological and Surgical Sampling for Detection of Mycobacterium Tuberculosis by R. N. Islamov, R. A. Sharipov, R. K. Tukfatullin, I. V. Sidorov, R. K. Yagafarova

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Keypoint Detection Based on Curvature Grouping and Adaptive Sampling by Bifu Li, Yu Cheng, Weitong Li

“…In the keypoint detection algorithm, the farthest point sampling methods and random sampling methods are usually used to select candidate points, then keypoints are screened out from the neighborhood of the candidate points. …”
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On the effect of sampling frequency on the electricity theft detection performance by Fatemeh Soleimani Nasab, Foad Ghaderi

“…We also proposed a bagging network that could improve the overall detection performance at different sampling frequencies.…”
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Advances in the detection methods for assessing the viability of cryopreserved samples by Hao Yan, Liu Zhicheng, Sun Heming, Zhai Wang, Sun Wenyu, Mu Long

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The detection of antibiotics in raw milk samples in bursa region by Canan Dokuzlu, Mustafa Tayar

“…A total of 110 (73.33 %) samples no antibiotic residues were detected.…”
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A Focus on Important Samples for Out-of-Distribution Detection by Jiaqi Wan, Guoliang Wen, Guangming Sun, Yuntian Zhu, Zhaohui Hu

“…By learning from these important samples, our method aims to achieve reliable OOD detection performance while reducing training costs and the risk of overfitting training data, thereby enabling the model to better distinguish between ID and OOD data. …”
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Few-Shot Object Detection via Sample Processing by Honghui Xu, Xinqing Wang, Faming Shao, Baoguo Duan, Peng Zhang

“…In this paper, a novel FSOD model via sample processing, namely, FSSP, is proposed to detect objects accurately with only a few annotated samples, which is based on the structural design of the Siamese network and uses YOLOv3-SPP as the baseline. …”
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Detection of nicotin in commercial samples of liquids for electronic cigarettes by T. A. Perezhogina, N. A. Duruncha, I. M. Ostapchenko

“…The article presents the results of the study on the detection of nicotine in commercial samples of liquids for electronic cigarettes, obtained using the procedure for detecting nicotine in liquids for electronic nicotine delivery systems.…”
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Optimising Wastewater Sample Processing for Multiple Pathogen Detection by Miss Shannon Fitz, Debora Akortia, Richard Larbi, Richard Owusu, Gifty Nkrumah, Dr Joyce Akello, Catherine Troman, Dr Jaspreet Mahindroo, Dr Anton Spader, Dr Ben Bellekom, Piya Rajendra, Professor Yaw Adu-Sarkodie, Dr Ellis Owusu-Dabo, Dr Nicholas Grassly, Dr Dilip Abraham, Professor Venkata Raghava Mohan, Dr Michael Owusu, Dr Alex Shaw

“…Introduction: Environmental surveillance (ES) provides valuable insight into emergence, transmission, and spread of infectious diseases, yet can be expensive to perform. The simultaneous detection of multiple pathogens in wastewater can make the process more cost-effective, yet the majority of protocols for ES are often optimised for the detection of single pathogens. …”
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Comparison of Sample Preparation and Detection Methods for the Quantification of Synthetic Musk Compounds (SMCs) in Carp Fish Samples by Jungmin Jo, Eunjin Lee, Na Rae Choi, Ji Yi Lee, Jae Won Yoo, Dong Sik Ahn, Yun Gyong Ahn

“…This study deals with the separation and detection methods for 12 synthetic musk compounds (SMCs), which are some of the emerging contaminants in fish samples, are widely present in environmental media, and can be considered serious risks due to their harmful effects. …”
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Influence of Sample Preparation on SERS Signal by Isabela Bianchi-Carvalho, Marcelo José dos Santos Oliveira, Cibely Silva Martin, Santiago Sánchez-Cortés, Carlos José Leopoldo Constantino

“…The impact of sample dilution before or after the addition of the salt to the Ag colloid was also explored. …”
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Optimizing plane detection in point clouds through line sampling by José María Martínez-Otzeta, Jon Azpiazu, Iñigo Mendialdua, Basilio Sierra

Subjects: “…Random sample consensus…”
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Hyperspectral target detection based on graph sampling and aggregation network. by Tie Li, Hongfeng Jin, Zhiqiu Li

“…Notably, before this study, graph sampling aggregation networks had scarcely been employed in the realm of hyperspectral target detection. …”
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Hierarchical Sampling Representation Detector for Ship Detection in SAR Images by Ming Tong, Shenghua Fan, Jiu Jiang, Chu He

“…However, distinguishing ship targets precisely from the interference of multiplicative non-Gaussian coherent speckle is still a challenging task due to the discreteness, variability, and nonlinearity of ship scattering features. A detection framework based on hierarchical sampling representation is introduced to alleviate the phenomenon in this article. …”
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