DNA aptamers targeting glycoprotein D enable specific detection of pseudorabies virus (PRV) by Zhihao Wang, Yan Qiao, Jiafu Zhao, Xiaotian Chang, Heshui Zhu, Chao Zhang

“…These findings highlight the potential of aptamer-based diagnostic methods for rapid, sensitive, and onsite detection of PRV, offering a promising tool for disease control in the swine industry.…”
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Domain Knowledge-Enhanced Process Mining for Anomaly Detection in Commercial Bank Business Processes by Yanying Li, Zaiwen Ni, Binqing Xiao

“…Additionally, we employed large language models (LLMs) for root cause analysis and process optimization recommendations. The empirical results demonstrate that the E-Heuristic Miner significantly outperforms traditional machine learning methods and process mining algorithms in process anomaly detection. …”
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Enhancing Software Quality with AI: A Transformer-Based Approach for Code Smell Detection by Israr Ali, Syed Sajjad Hussain Rizvi, Syed Hasan Adil

“…In this study, we introduce Relation-Aware BERT (RABERT), a novel transformer-based model that integrates relational embeddings to enhance automated code smell detection. By modeling interdependencies among software complexity metrics, RABERT surpasses classical machine-learning methods, achieving an accuracy of 90.0% and a precision of 91.0%. …”
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LN-DETR: cross-scale feature fusion and re-weighting for lung nodule detection by Dibin Zhou, Honggang Xu, Wenhao Liu, Fuchang Liu

“…However, challenges remain in deploying these methods in complex real-world scenarios. This paper introduces an enhanced lung nodule detection algorithm base on RT-DETR, called LN-DETR. …”
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Colorimetric and electrochemical analysis of DNAzyme-LAMP amplicons for the detection of Escherichia coli in food matrices by Alaa H. Sewid, Haley C. Dylewski, Joseph H. Ramos, Bailey M. Morgan, Benti D. Gelalcha, Doris H. D’Souza, Jie Jayne Wu, Oudessa Kerro Dego, Shigetoshi Eda

“…Additionally, we introduce a novel electrochemical method that enhances analytical sensitivity. The optimized DNAzyme-LAMP achieved a detection limit below 6.3 CFU per reaction or 0.1 aM gene copies. …”
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Optimal sampling frequency and site selection for wastewater and environmental surveillance of infectious pathogens: A value of information assessment. by Isabella Impalli, Erik Bergland, Chadi M Saad-Roy, Bryan T Grenfell, Simon A Levin, D G Joakim Larsson, Ramanan Laxminarayan

“…Wastewater and environmental surveillance (WES) is a promising method of detecting infectious diseases in human and animal populations and offers significant advantages over traditional surveillance methods in the early detection of outbreaks. …”
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Adaptive Anomaly Detection in Network Flows With Low-Rank Tensor Decompositions and Deep Unrolling by Lukas Schynol, Marius Pesavento

“…Inspired by Bayesian approaches, we extend the model architecture to perform online adaptation to per-flow and per-time-step statistics, improving AD performance while maintaining a low parameter count and preserving the problem's permutation equivariances. To optimize the deep network weights for detection performance, we employ a homotopy optimization approach based on an efficient approximation of the area under the receiver operating characteristic curve. …”
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Design, Fabrication and Validation of Chemical Sensors for Detecting Hydrocarbons to Facilitate Oil Spillage Remediation by Perpetual Eze-Idehen, Krishna Persaud

“…To address the environmental hazards posed by oil spills and the limitations of conventional hydrocarbon monitoring techniques, a cost-effective and user-friendly gas sensor system was developed for the real-time detection and quantification of hydrocarbon contaminants in soil. …”
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Traffic anomaly event detection and auxiliary decision-making based on large language models by LI Yanying, WANG Xinyu, WANG Xiao, SUN Changyin

“…The results show that compared with traditional methods, TMGPT significantly improves the accuracy of detection and reduced response time in the detection and assisted decision-making of abnormal traffic events, which demonstrates the application potential of large language models in complex urban traffic management.…”
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Solar Cell Defects Detection Based on Photoluminescence Images and Upgraded YOLOv5 Model by Gengcong Xu, Jinhua Huang, Weidong Gong, Jiahui Teng

“…In this paper, photoluminescence (PL) imaging is used to visualize SC defects, based on which a detection method based on the YOLOv5 model is explored. …”
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Innovative smart biosensors for cancer theranostics: A new frontier in detection, diagnosis, and beyond by Archna Dhasmana, Ayushi Santhanam, Khushi Dhasmana, Sumira Malik, Subham Preetam

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DADNet: text detection of arbitrary shapes from drone perspective based on boundary adaptation by Jun Liu, Jianxun Zhang, Ting Tang, Shengyuan Wu

“…To address this issue, we propose a drone-based text detection method based on boundary adaptation. We first conduct an in-depth analysis of text characteristics from a drone’s perspective. …”
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Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning by Vânia Guimarães, Inês Sousa, Miguel Velhote Correia

“…In this study, we investigated whether using gait and dual tasks could help detect cognitive impairment after stroke. Methods We analyzed gait and neuropsychological data from 47 participants who were part of the Ontario Neurodegenerative Disease Research Initiative. …”
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Feasibility of EfficientDet-D3 for Accurate and Efficient Void Detection in GPR Images by Sung-Pil Shin, Sang-Yum Lee, Tri Ho Minh Le

“…The detection of voids in pavement infrastructure is essential for road safety and efficient maintenance. …”
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Self-attention-based graph transformation learning for anomaly detection in multivariate time series by Qiushi Wang, Yueming Zhu, Zhicheng Sun, Dong Li, Yunbin Ma

“…Extensive experiments on three real-world datasets demonstrate that our method can effectively aggregate global graph features and detect anomalies, providing a new transformation learning solution for multivariate time series anomaly detection.…”
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Exoplanet detection in rotational shearing interferometry through experimental setup and digital filtering techniques by Manuel Montes-Flores, Guillermo Garcia-Torales, Marija Strojnik

“…Experimental results demonstrate an 80% reduction in noise and up to a 20% increase in detection sensitivity compared to traditional interferometric methods. …”
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A Small Object Detection Algorithm Integrated with ReFPN and Compound Attention Mechanism by ZHAO Yi-ming, WANG Jin-cong, REN Hong-e, ZHAO Long

“…The research of small target detection is of great significance for the optimization and improvement of tasks such as small face recognition and remote sensing image detection. …”
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Research on Anomaly Detection Model for Power Consumption Data Based on Time-Series Reconstruction by Zhenghui Mao, Bijun Zhou, Jiaxuan Huang, Dandan Liu, Qiangqiang Yang

“…The power consumption data in buildings can be viewed as a time series, where outliers indicate unreasonable energy usage patterns. Accurately detecting these outliers and improving energy management methods based on the findings can lead to energy savings. …”
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Detection and Classification of Power Quality Disturbances Based on Improved Adaptive S-Transform and Random Forest by Dongdong Yang, Shixuan Lü, Junming Wei, Lijun Zheng, Yunguang Gao

“…The increasing penetration of renewable energy into power systems has intensified transient power quality (PQ) disturbances, demanding efficient detection and classification methods to enable timely operational decisions. …”
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SynthSecureNet: An Improved Deep Learning Architecture with Application to Intelligent Violence Detection by Ntandoyenkosi Zungu, Peter Olukanmi, Pitshou Bokoro

“…The latter have been shown to be promising in violence detection. The aim of our architecture is to harness the combined strengths of the two known methods for improved accuracy. …”
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