A Method for Auto Generating a Remote Sensing Building Detection Sample Dataset Based on OpenStreetMap and Bing Maps by Jiawei Gu, Chen Ji, Houlin Chen, Xiangtian Zheng, Liangbao Jiao, Liang Cheng

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Precision Improvement for the Detection of TGC via RBF Network by Yue Yan

“…Alternatively, the data correction and improvement can be carried out through establishing an RBF model to detect sample gas after preprocessing. Furthermore, the computer simulation and error analysis can be implemented by taking actual SO2 data emitted by one medium-sized coal-fired power plant in China as a training sample. …”
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Analisis Logam Berat Pb dan Cd dalam Sampel Ikan dan Kerang secara Spektrofotometri Serapan Atom by Supriatno Supriatno, Lelifajri Lelifajri

“…The wet digestion method was used for preparation sample prior to AAS detection. Sample was collected from three different location rivers at Lamnyong, Pantee Pirak and Lumbago. …”
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Multiple Kinds of Pesticides Detection Based on Back-Propagation Neural Network Analysis of Fluorescence Spectra by Haiyi Bian, Hua Yao, Guohua Lin, Yinshan Yu, Ruiqiang Chen, Xiaoyan Wang, Rendong Ji, Xiao Yang, Tiezhu Zhu, Yongfeng Ju

“…However, given that the concentration of the pesticide detected via fluorescence spectroscopy is calculated in accordance with the Beer-Lambert law, this method can only be used to detect samples containing a single kind of pesticide or several kinds of pesticides with completely different fluorescence which is not in accordance with practical cases. …”
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Use of Statistical Quality Control in Experimental Procedures for Mechanical Properties Determination of Vegetative Tissues by Jonathan Gazzola, Angelo Roberto Biasi, Leandro Morais, Kelen Cristiane Cardoso, Daniel Albiero, Inacio Maria Dal Fabbro

“…The results showed that the quality control charts were able to detect sample points that negatively impacted the characterization data.…”
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Driving Detection Based on the Multifeature Fusion by Qiufen Yang, Yan Lu

“…On the basis of blink, yawn and nod judgment, multiple characteristic values of blink frequency, yawn frequency, and nod frequency of drivers were extracted to establish a fatigue detection sample database, and a naive Bayes classifier was constructed to judge fatigue. …”
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Few shot object detection for headdresses and seats in Thangka Yidam based on ResNet and deformable convolution by Hu Wenjin, Xue Panpan, He Guoyuan, Tang Huiyuan, Song Huafei, Yue Chaoyang

“…Aiming at the problems of few detecting samples, deformable target sizes and overlapping among targets in the detection of headdresses and seats of Thangka Yidam, we propose an optimised few shot Thangka detection method based on the ResNet and deformable convolution. …”
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Detection of Melamine in Soybean Meal Using Near-Infrared Microscopy Imaging with Pure Component Spectra as the Evaluation Criteria by Zengling Yang, Lujia Han, Chengte Wang, Jing Li, Juan A. Fernández Pierna, Pierre Dardenne, Vincent Baeten

“…However, there are problems with using near-infrared (NIR) spectroscopy for detecting samples with low contaminant concentration because of instrument noise and sampling issues. …”
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A novel assay incorporating CRISPR with RPA in a single pot for visual and accurate detection of Aphelenchoides besseyi in soybean by Neveen Atta Elhamouly, Nehal Atta, Shiming Liu, Yuyao Tu, Deliang Peng

“…We tested this new assay on forty-four soybean samples exhibiting GSFR syndrome symptoms, and it effectively detected samples containing the A. besseyi. We designed three different ways for data collection and visualization to suit the requirements of various environments. …”
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SERS-based quantitative vertical flow assay using dual Au-Ag SERS nanoprobes by Jinhyeok Jeon, Ji-In Park, Chulhyun Lee

“…To evaluate the feasibility of multiplexing performance of SERS-VFA platform, vertical flow cartridges with 2 × 2 test areas on the nitrocellulose membrane and two different Raman reporter-labeled SERS nanoprobes were prepared, to detect samples including two different immunoglobulins (mouse IgG and rabbit IgG). …”
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CD4C: Change Detection for Remote Sensing Image Change Captioning by Xiliang Li, Bin Sun, Zhenhua Wu, Shutao Li, Hu Guo

“…Subsequently, based on whether changes are detected, samples are classified and processed through the C-Stream and N-Stream of the multitemporal difference feature fusion (MDF) module to extract visual change features. …”
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The determination and pollution analysis of β-N- methylamino-L-alanine and its isomers in algal health products by WANG Chen, YUAN Guanxiang, LUO Qing, QIN Xiaoyun, YANG Shengyuan, LIU Guihua

“…The concentrations of DAB， AEG and BMAA in the detectable samples were between 385-2 305， 250-518 and 472-698 μg/kg， respectively.ConclusionThe established method based on AQC derivation LC-MS/MS method is more efficient and accurate. …”
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GD-Det: Low-Data Object Detection in Foggy Scenarios for Unmanned Aerial Vehicle Imagery Using Re-Parameterization and Cross-Scale Gather-and-Distribute Mechanisms by Rui Shi, Lili Zhang, Gaoxu Wang, Shutong Jia, Ning Zhang, Chensu Wang

“…However, marine accidents often occur in low-visibility weather conditions, resulting in poor image quality and a lack of object detection samples, which significantly reduces detection accuracy. …”
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WO₃-Based Thin Films Grown by Pulsed Laser Deposition as Gas Sensors for NO₂ Detection by Alessandro Bellucci, Angela De Bonis, Mariangela Curcio, Antonio Santagata, Maria Lucia Pace, Eleonora Bolli, Matteo Mastellone, Riccardo Polini, Raffaella Salerno, Veronica Valentini, Daniele M. Trucchi

“…Thin films based on tungsten oxide (WO₃) were grown by nanosecond pulsed laser deposition on alumina printed-circuit boards to fabricate electrochemical sensors for nitrogen dioxide (NO₂) detection. Samples exposed to thermal annealing (400 °C for 3 h) were also produced to compare the main properties and the sensor performance. …”
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Recent advances and future technologies in nano-microplastics detection by Ajinkya Nene, Sorour Sadeghzade, Stefano Viaroli, Wenjie Yang, Ucheaga Paul Uchenna, Abhishek Kandwal, Xinghui Liu, Prakash Somani, Massimiliano Galluzzi

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YOLOv10-LGDA: An Improved Algorithm for Defect Detection in Citrus Fruits Across Diverse Backgrounds by Lun Wang, Rong Ye, Youqing Chen, Tong Li

“…Lastly, we employ the Slide Loss function to adaptively adjust sample weights, focusing on hard-to-detect samples such as blurred features and subtle lesions in citrus disease images, effectively alleviating issues related to sample imbalance. …”
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Exploring the Link Between Periodontal Pathogens and Systemic Inflammatory Markers in Patients with Metabolic Syndrome by Ramanarayana Boyapati, Vijaya Krishna Prasad Vudathaneni, Ruparani Bodduru, Jyothi Todima, Ankineedu Babu Dasari, Lalitha Chintala

“…The researchers took subgingival plaque samples from patients to perform the polymerase chain reaction test for Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans, and Tannerella forsythia detection. Samples of blood tested for inflammation provided numerical values determining CRP, IL-6, and TNF-α levels in the body. …”
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Residual antibiotics in milk samples: Assessing the risk and prevalence in Bangladesh by Farhana Rinky, Asma Rahman, Sompa Reza, Abira Nowar, Sharmin Rumi Alim

“…However, most of the UHT and flavored milk samples showed the occurrence of multiple antibiotic residues. Among the detected samples, 37.04 % exceeded the MRLs, while 44.44 % were near the limit. …”
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YOLO-PEL: The Efficient and Lightweight Vehicle Detection Method Based on YOLO Algorithm by Zhi Wang, Kaiyu Zhang, Fei Wu, Hongxiang Lv

“…The model also incorporates the Wise-IoUv3 loss function to mitigate the deleterious gradients caused by extreme examples in vehicle detection samples, resulting in more precise detection outcomes. …”
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Adaptive Input Sampling: A Novel Approach for Efficient Object Detection in High Resolution Traffic Monitoring Images by Tewodros Syum Gebre, Eden Tsehaye Wasehun, Freda Elikem Dorbu, Gazali Oluwasegun Agboola, Ali Karimoddini, Leila Hashemi-Beni

“…The AIS dynamically targets specific areas of the frame where vehicles are detected, sampling these regions for downstream processing. …”
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