Detection of allergen mango components by using droplet digital PCR technology by LI Enjing, WANG Dan, LI Long, LI Hejing, YANG Honglian

“…Finally, the reaction conditions of droplet digital PCR was optimized to verify the sensitivity and stability of the method.ResultsThis method had been applied to detect allergen mango components in 10 batches of food samples. …”
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Deep ensemble learning with transformer models for enhanced Alzheimer’s disease detection by Shiza Latif, Naeem Ul Islam, Zaki Uddin, Khalid Mehmood Cheema, Syed Sohail Ahmed, Muhammad Farhan Khan

“…Recently, researchers have been developing new methods for detecting Alzheimer’s at earlier stages, including genetic testing, blood tests for biomarkers, and cognitive assessments. …”
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Detecting small seamounts in multibeam data using convolutional neural networks by Tobias Ziolkowski, Colin W. Devey, Agnes Koschmider

“…Seamounts play a crucial role in marine ecosystems, ocean circulation, and plate tectonics, yet most remain unmapped due to limitations in detection methods. While satellite altimetry provides large-scale coverage, its resolution is insufficient for detecting smaller seamounts, necessitating high-resolution multibeam bathymetry. …”
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Deep learning based detection of enlarged perivascular spaces on brain MRI by Tanweer Rashid, Hangfan Liu, Jeffrey B. Ware, Karl Li, Jose Rafael Romero, Elyas Fadaee, Ilya M. Nasrallah, Saima Hilal, R. Nick Bryan, Timothy M. Hughes, Christos Davatzikos, Lenore Launer, Sudha Seshadri, Susan R. Heckbert, Mohamad Habes

“…Additionally, cohort-based studies may not always have the optimal or essential imaging sequences for accurate lesion detection. …”
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Workload Forecasting Methods in Cloud Environments: An Overview by Samah Aziz, Manar Kashmoola

“…Accurate forecasting of workload is key to optimizing cloud performance. In this study, we discuss some methods of predicting workload in cloud environments. …”
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Automated Detection of Poor-Quality Scintigraphic Images Using Machine Learning by Anil K. Pandey, Akshima Sharma, Param D. Sharma, Chandra S. Bal, Rakesh Kumar

“…Receiver operator characteristic (ROC) analysis was used to select the optimal model using the largest value of area under the ROC curve. …”
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Deep Learning in Defect Detection of Wind Turbine Blades: A Review by Katleho Masita, Ali N. Hasan, Thokozani Shongwe, Hasan Abu Hilal

“…The increasing adoption of wind turbines as a key component of renewable energy generation necessitates the development of efficient and reliable maintenance strategies to ensure their optimal performance and safety. Among the most critical aspects of turbine maintenance is detecting and classifying defects in wind turbine blades, which are constantly exposed to extreme environmental conditions. …”
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Application of high-throughput fully automated air formaldehyde detection technology by Xiaoling YANG, Junhong LI, Zhiyong CHEN, Yi JIN

“…Finally, the method was validated by precision, detection and quantification limits, and spiked recovery. …”
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Diagnostic value of 5 miRNAs combined detection for breast cancer by Yubo Jing, Xinzhu Huang, Yiyang Wang, Junyi Wang, Yongxiang Li, Dlraba Yelihamu, Chenming Guo

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Blade Crack Detection of Centrifugal Fan Using Adaptive Stochastic Resonance by Bingbing Hu, Bing Li

“…The ASR method, which can utilize the optimization ability of the grid search method and adaptively realize the optimal stochastic resonance system matching input signals, may weaken the noise and highlight weak characteristic and thus can diagnose the fault accurately. …”
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Machine vision-based detection of key traits in shiitake mushroom caps by Jiuxiao Zhao, Jiuxiao Zhao, Wengang Zheng, Wengang Zheng, Yibo Wei, Yibo Wei, Qian Zhao, Qian Zhao, Jing Dong, Jing Dong, Xin Zhang, Xin Zhang, Mingfei Wang, Mingfei Wang

“…Firstly, an edge detection model was established. This model is called KL-Dexined. …”
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Automatic detection and visualization of temporomandibular joint effusion with deep neural network by Yeon-Hee Lee, Seonggwang Jeon, Jong-Hyun Won, Q.-Schick Auh, Yung-Kyun Noh

“…Assistive automated diagnostic methods have the potential to increase clinicians’ diagnostic accuracy.…”
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DGA domain detection and botnet prevention using Q-learning for POMDP by Y. V. Bubnov, N. N. Ivanov

“…A botnet is a collection of devices connected via the Internet for the purpose of organizing DDoS attacks, stealing data, sending spam and other malicious actions. The described method implies the detection of generated domain names in DNS queries using a neural network with parallel organization of convolutional and bidirectional recurrent layers. …”
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Sensitive Detection of Lasalocid Residue in Chicken by Surface Enhanced Raman Spectroscopy by Yao WANG, Yingying SUN, Yubing JING, Xiyan YANG, Yanfei LI, Jiaxiang HUANG, Xiujin CHEN, Zhaozhou LI, Li CAO, Huaibin KANG

“…This study provides a new method for the sensitive detection of LAS residues, and has reference value for the study of SERS detection method of other veterinary drug residues.…”
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Induction Machine Bearing Fault Detection Using Empirical Wavelet Transform by Ricardo Lopez-Gutierrez, Jose de Jesus Rangel-Magdaleno, Carlos Javier Morales-Perez, Arturo García-Perez

“…The detection of faults related to the optimal condition of induction motors is an important task to avoid the malfunction or loss of the motor, thus avoiding high repair or replacement costs and faults in the efficiency of the process to which they belong. …”
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Detection of multiple pesticide residues on the surface of broccoli based on hyperspectral imaging by GUI Jiangsheng, GU Min, WU Zixian, BAO Xiao’an

“…A method for the detection of pesticide residues on broccoli was proposed based on hyperspectral image technology. …”
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Development of a droplet digital PCR assay for the detection of BK polyomavirus by Lu Ai, Yating Zhao, Chianru Tan, Lu Bai, Gang Huang, Ruizhi Wang, Hao Huang, Xuegao Yu, Yong Guo, Peisong Chen

“…ABSTRACT The objective of this study was to establish a more sensitive and specific diagnostic method for detecting plasma BK polyomavirus (BKPyV) DNA load in patients after renal transplantation using droplet digital polymerase chain reaction (ddPCR) and to validate the methodology. …”
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Finding Pareto trade-offs in fair and accurate detection of toxic speech by Soumyajit Gupta, Venelin Kovatchev, Anubrata Das, Maria De-Arteaga, Matthew Lease

“… Introduction. Optimizing NLP models for fairness poses many challenges. …”
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Breast cancer survival prediction using an automated mitosis detection pipeline by Nikolas Stathonikos, Marc Aubreville, Sjoerd deVries, Frauke Wilm, Christof A Bertram, Mitko Veta, Paul J vanDiest

“…The model was developed in the context of the Mitosis Domain Generalization Challenge 2021 (MIDOG21) grand challenge and was expanded by a novel automatic area selector method to find the optimal mitotic hotspot and calculate the MC per 2 mm2. …”
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Underwater object detection algorithm integrating image enhancement and deformable convolution by Lijia Guo, Xiangchun Liu, Dongsheng Ye, Xuebao He, Jianxin Xia, Wei Song

“…Comparative experiments and ablation experiments conducted on the Detecting Underwater Objects dataset validate the effectiveness of the proposed method. …”
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