IMPROVING INTRUSION DETECTION USING TREE ADJOINING GRAMMAR GUIDED GENETIC PROGRAMMING by Vũ Văn Cảnh, Hoàng Tuấn Hảo, Nguyễn Văn Hoàn

“…Some studies using machine learning technology have been applied in intrusion detection. In our work, we proposed using Genetic Programming (GP) to improve intrusion detection. …”
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Recent Progress in Flexible Microelectrode Arrays for Combined Electrophysiological and Electrochemical Sensing by Umisha Siwakoti, Steven A. Jones, Deepak Kumbhare, Xinyan Tracy Cui, Elisa Castagnola

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Nevi, dysplastic nevi, and melanoma: Molecular and immune mechanisms involving the progression by Wei-Wen Sung, Chung-Hsing Chang

“…Immune response escape via programmed cell death-1/programmed cell death ligand-1 interaction plays further roles in monitoring the spectrum. …”
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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

Subjects: “…vulnerability detection…”
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Research progress on off-flavor substances in Baijiu by YANG Teng, CHEN Jiajie, ZHU Jianmeng, WANG Chao, GU Shasha, WEI Chaoyang, QIU Shuyi, DAI Yifeng

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Modern Expert Technologies for Detection and Examination of Crime Traces by I. E. Nikitina

Subjects: “…scientific and technological progress…”
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Deep-Learning-Based Automated Building Construction Progress Monitoring for Prefabricated Prefinished Volumetric Construction by Wei Png Chua, Chien Chern Cheah

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Genetic programming support vector machine model for a wireless intrusion detection system by A. Dhoot, A. N. Nazarov, I. M. Voronkov

“…The presented technological intrusion detection system architecture offers the possibility to train a dataset for detecting attacks on CICIDS2017 and extracting detection objects. …”
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Progress of Yoghurt Taste Characteristics Perception, Formation Process and Analysis and Evaluation Methods by Lin SHI, Wei JIA, Rong ZHANG, Li ZHANG

“…It is an important way to improve and regulate yogurt taste quality to establish a high-throughput flavor detection method and analyze the effects of protein degradation, carbohydrate metabolism and lipid decomposition on yogurt taste characteristics during fermentation. …”
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QuantiFERON-TB supernatant-based biomarkers predicting active tuberculosis progression by Haoxin Xu, Jingyu Zhou, Qingluan Yang, Yixuan Yang, Feiran Zhou, Mengqing Qian, Xing Lin, Wenhong Zhang, Lingyun Shao, Qiaoling Ruan

“…It is crucial to identify new biomarkers with high predictive accuracy to identify individuals bearing a high risk of progression. Methods: This was a sub-study of an open-label, randomized clinical trial for prevention of TB in silicosis patients. …”
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Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer’s disease by Ibrahim Abunadi

“…Thus far, there is no effective treatment for AD, but treatment could be helpful in impeding the progression of the disease. Therefore, early AD diagnosis is effective in limiting the disease from progressing to advanced and dangerous stages. …”
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Research progress of deep learning-based object detection of optical remote sensing image by Yurong LIAO, Haining WANG, Cunbao LIN, Yang LI, Yuqiang FANG, Shuyan NI

“…Object detection is the core issue in the interpretation of optical remote sensing images, and it is widely used in fields such as intelligence reconnaissance, target monitoring, and disaster rescue.Firstly, combined with the research progress of deep learning optical remote sensing image object detection algorithms, the two types of algorithms based on candidate regions and regression analysis were reviewed.Secondly, the improvement of object detection algorithms for four types of common task-specific scenes were summarized, including rotating objects, small objects, multi-scales, and dense objects.Then, combined with commonly used remote sensing image data sets, the performance of different algorithms was compared and analyzed.Finally, the issues worthy of attention in remote sensing image object detection in the future were prospected, and ideas for follow-up related research were provided.…”
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Fuzzy clustering of 24-2 visual field patterns can detect glaucoma progression. by Hwayeong Kim, Sangwoo Moon, Joohwang Lee, EunAh Kim, Sang Wook Jin, Jung Lim Kim, Seung Uk Lee, Jinmi Kim, Seungtae Yoo, Jiwon Lee, Giltae Song, Jiwoong Lee

“…<h4>Conclusion</h4>A hybrid approach combining AA and FCM to analyze 24-2 VF can visualize VF tests in characteristic patterns and enhance detection of VF progression with lossless decomposition.…”
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Recent Progress on the Application of Microneedles for In Situ Sampling in Surface-Enhanced Raman Scattering Detection by Weiqing Yang, Ying Chen, Xingliang Cheng, Shuojiang Liu, Huiqi Zhu, Yuling Hu

“…Firstly, a comprehensive summary is presented of MN types and research progress in the design and engineering of SERS-active MNs. …”
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A progressive knowledge strategy for monitoring soil microbiological activity by microscale spectroscopic detection by Heidy Soledad Rodríguez-Albarracín, José A.M. Demattê, Nícolas Augusto Rosin, Jorge Tadeu Fim Rosas, Aquiles Enrique Darghan, Hudson Wallace Pereira de Carvalho

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Nanopore sensors for single molecular protein detection: Research progress based on computer simulations by Gang Hu, Han Yan, Guohao Xi, Zhuwei Gao, Ziqing Wu, Zuhong Lu, Jing Tu

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Progress in the application of hyperspectral imaging technology in quality detection and in the modernization of Chinese herbal medicines by Yuting You, Yuting You, Lei Zhang, Zhuo Yu, Daqing Zhao, Daqing Zhao, Xueyuan Bai, Xueyuan Bai, Wei Zhang, Wei Zhang

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Urban object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy by Luxuan Bian, Zijun Gao, Jue Wang, Bo Li

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Domain Diversification Progressive Cross-Domain Weakly-Supervised Real-time Object Detection by LI Chengyan, ZHENG Qisen, WANG Hao

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DFPF-Net: Dynamically Focused Progressive Fusion Network for Remote Sensing Change Detection by Chengming Wang, Peng Duan, Jinjiang Li

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