Evading Antivirus Detection Using Fountain Code-Based Techniques for Executing Shellcodes by Gang-Cheng Huang, Ko-Chin Chang, Tai-Hung Lai

“…In this study, we propose a method for successfully evading antivirus detection by encoding malicious shellcode with fountain codes. …”
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Detection of composition of functional component theabrownins in Pu-erh tea by degradation method by Simin Hu, Xiaolei Li, Chuangchuang Gao, Xianyu Meng, Mingchao Li, Yuqian Li, Tianrui Xu, Qian Hao

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Development of an Enzyme-Linked Immunosorbent Assay Method for the Detection of Rhein in Rheum officinale by Min Chen, Tie-Gui Nan, Jie Xin, Li Cui, Bo Zhang, Xiao Wang, Bao-Min Wang

“…The aim of this study was to develop an indirect competitive enzyme-linked immunosorbent assay (icELISA) for rhein detection, which acts as a powerful tool for quality control and proper usage of Rheum officinale. …”
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Brain Stroke Detection by Microwaves Using Prior Information from Clinical Databases by Natalia Irishina, Aurora Torrente

“…Microwave tomographic imaging is an inexpensive, noninvasive modality of media dielectric properties reconstruction which can be utilized as a screening method in clinical applications such as breast cancer and brain stroke detection. For breast cancer detection, the iterative algorithm of structural inversion with level sets provides well-defined boundaries and incorporates an intrinsic regularization, which permits to discover small lesions. …”
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Study on the Main Factors of Frequency Variation of LC Resonant Prestress Detection Method by Benniu Zhang, Yuanyuan Zhao, Xingxing Li, Yanpeng Su, Qiang Yin, Jianhui Jiang

“…Furthermore, it is very important to know how the stress affects the resonant frequency to realize the detection of the prestressed force of the steel strands. …”
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AN APPROACH HYBRID RECURRENT NEURAL NETWORK AND RULE-BASE FOR INTRUSION DETECTION SYSTEM by Trần Thị Hương, Phạm Văn Hạnh

“…The rule set is capable of detecting known attacks, while the recurrent neural network has the advantage of detecting new attacks. …”
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Use of Time- and Frequency-Domain Approaches for Damage Detection in Civil Engineering Structures by V. H. Nguyen, J. Mahowald, S. Maas, J.-C. Golinval

“…Damage detection is performed using the concept of subspace angles between a current (possibly damaged state) and a reference (undamaged) state. …”
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Dynamic Conjugate Gradient Unfolding for Symbol Detection in Time-Varying Massive MIMO by Toluwaleke Olutayo, Benoit Champagne

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Fusional Vergence Detected by Prism Bar and Synoptophore in Chinese Childhood Intermittent Exotropia by Tao Fu, Jing Wang, Moran Levin, Qing Su, Dongguo Li, Junfa Li

“…Children with IXT have reduced convergence amplitudes as detected by both prism bar and synoptophore.…”
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The Design of a Noise Detection Automatisation Tool in Library – Based on Internet of Things by Dhiya Alfiyyah Ansar Dhiya, Yuyun, Imran Taufik

“…This study aimed to implement a noise detection automation tool and a sound monitoring system based on the Arduino nano 33 BLE sense microcontroller in a library room. …”
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Fluorophore signal detection and imaging enhancement in high refractive index nanowire biosensors by Nicklas Anttu

“…We also model imaging-based detection. There, waveguiding in the nanowire beats the limitations set by the depth of view in conventional microscopy, enabling the use of a long nanowire to enhance the binding-area for fluorophores. …”
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Detection of <i>Anaplasma phagocytophilum</i> DNA in Deer Keds: Massachusetts, USA by Patrick Pearson, Guang Xu, Eric L. Siegel, Mileena Ryan, Connor Rich, Martin J. R. Feehan, Blake Dinius, Shaun M. McAuliffe, Patrick Roden-Reynolds, Stephen M. Rich

“…Pathogen screening revealed the presence of <i>Anaplasma phagocytophilum</i> DNA in 30% of the keds, but no other pathogens were detected. The medical and biological significance of detecting <i>A. phagocytophilum</i> DNA in deer keds requires future studies. …”
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Detecting Silent Data Corruptions in Aerospace-Based Computing Using Program Invariants by Junchi Ma, Dengyun Yu, Yun Wang, Zhenbo Cai, Qingxiang Zhang, Cheng Hu

“…SDC is the most insidious type of results and very difficult to detect. To address this problem, we design and implement an invariant-based system called Radish. …”
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Local Region Frequency Guided Dynamic Inconsistency Network for Deepfake Video Detection by Pengfei Yue, Beijing Chen, Zhangjie Fu

Subjects: “…deepfake video detection…”
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Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features by Weidong Song, Guohui Jia, Hong Zhu, Di Jia, Lin Gao

“…To address these challenges, we propose the CrackSeg—an end-to-end trainable deep convolutional neural network for pavement crack detection, which is effective in achieving pixel-level, and automated detection via high-level features. …”
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Determination of Appropriate Thresholding Method in Segmentation Stage in Detecting Breast Cancer Cells by Adem Polat, Cihat Ediz Akbaba

“…As in all cancer types, the early detection of breast cancer is vital in terms of patients holding on to life. …”
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A Deep Learning Anomaly Detection Framework for Satellite Telemetry with Fake Anomalies by Yakun Wang, Jianglei Gong, Jie Zhang, Xiaodong Han

“…To address these limitations, this paper proposes a data-driven anomaly detection framework to detect point anomalies. We first propose the Deviation Divide Mean over Neighbors (DDMN) method to figure out the fake anomaly problem caused by data errors in the satellite telemetry data. …”
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Belt conveyor idler fault detection algorithm based on improved YOLOv5 by Cen Pan, Qing Tao, Hao Pei, Biao Wang, Wei Liu

“…Moreover, with a processing speed of 285 FPS, it accurately performs the defect detection of conveyor idlers while satisfying real-time operational requirements.…”
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XI2S-IDS: An Explainable Intelligent 2-Stage Intrusion Detection System by Maiada M. Mahmoud, Yasser Omar Youssef, Ayman A. Abdel-Hamid

“…To address these challenges, we introduce the XI2S-IDS framework—an Explainable, Intelligent 2-Stage Intrusion Detection System. The XI2S-IDS framework uniquely combines a two-stage approach with SHAP-based explanations, offering improved detection and interpretability for low-frequency attacks. …”
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Advancements in noninvasive techniques for transplant rejection: from biomarker detection to molecular imaging by Yuan Song, Yihui Wang, Wenyuan Wang, Yuji Xie, Junmin Zhang, Jing Liu, Qiaofeng Jin, Wenqian Wu, He Li, Jing Wang, Li Zhang, Yali Yang, Tang Gao, Mingxing Xie

“…Additionally, microRNA (miRNA) profiling enhances the diagnostic specificity for precise AR detection. Advanced molecular imaging techniques further augment the monitoring of rejection. …”
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