Feature-Based Normality Models for Anomaly Detection by Hui Yie Teh, Kevin I-Kai Wang, Andreas W. Kempa-Liehr

Subjects: “…anomaly detection…”
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A Systematic Review of Intelligent Systems and Analytic Applications in Credit Card Fraud Detection by Ercan Oztemel, Muhammed Isik

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An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

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An explainable analytical approach to heart attack detection using biomarkers and nature-inspired algorithms by Maithri Bairy, Krishnaraj Chadaga, Niranjana Sampathila, R. Vijaya Arjunan, G. Muralidhar Bairy

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Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection. by Islam Zada, Esraa Omran, Salman Jan, Hessa Alfraihi, Seetah Alsalamah, Abdullah Alshahrani, Shaukat Hayat, Nguyen Phi

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Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection by Islam Zada, Esraa Omran, Salman Jan, Hessa Alfraihi, Seetah Alsalamah, Abdullah Alshahrani, Shaukat Hayat, Nguyen Phi

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Hybrid Learning Framework for Explainable Cardiovascular Disease Detection by Saeed Al Gharib, Jinan Charafeddine, Fadi Dornaika, Samir Haddad

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An analytics-driven model for identifying autism spectrum disorder using eye tracking by Deblina Mazumder Setu

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Image processing‐based noise‐resilient insulator defect detection using YOLOv8x by Shagor Hasan, Md. Abdur Rahman, Md. Rashidul Islam, Animesh Sarkar Tusher

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Contactless Detection of pH Change in a Liquid Analyte by Dylan Gustafson, Dominic Klyve

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High-sensitivity cardiac troponins: detection and central analytical characteristics by A. M. Chaulin, O. E. Abashina, D. V. Duplyakov

“…Each method for cardiac troponins’ detection, among the existing wide variety of troponin immunoassays, has different analytical characteristics and allows the detection of different concentrations of troponins in the same patient. …”
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Text similarity detection method based on NLP by Xiaoli DAI, Shifeng LIU, Daqing GONG

“…Current text similarity detection methods that ignore document structure information and lack semantic relevance.To solve these problems, a text-oriented similarity detection method was proposed.First, analytic hierarchy process (AHP) was used to calculate word position weight to extract feature words.Second, the Pearson correlation coefficient was used to measure semantic correlation between words which was the weight of generalized Dice coefficient to calculate similarity.Experimental results show that the proposed method can improve the precision of feature word extraction and the accuracy of similarity calculation results.…”
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Text similarity detection method based on NLP by Xiaoli DAI, Shifeng LIU, Daqing GONG

“…Current text similarity detection methods that ignore document structure information and lack semantic relevance.To solve these problems, a text-oriented similarity detection method was proposed.First, analytic hierarchy process (AHP) was used to calculate word position weight to extract feature words.Second, the Pearson correlation coefficient was used to measure semantic correlation between words which was the weight of generalized Dice coefficient to calculate similarity.Experimental results show that the proposed method can improve the precision of feature word extraction and the accuracy of similarity calculation results.…”
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Features of the pre-analytical stage in quantitative determination of TREC/KREC in peripheral blood by M. A. Saitgalina, Yu. V. Ostankova, A. V. Sedykh, A. A. Totolian

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Leveraging data analytics for detection and impact evaluation of fake news and deepfakes in social networks by Tony Mathew Abraham, Tao Wen, Ting Wu, Yu-wang Chen

“…A fake news detection framework is developed, where TF-IDF vectorization and bag of n-grams methods are implemented to extract text features, and six typical machine learning models are used to detect fake news, with the XGBoost classifier achieving the highest accuracy using both feature extraction methods. …”
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Nanosensors for Exhaled Breath Condensate: Explored Models, Analytes, and Prospects by Esther Ghanem

“…The EBC signature includes biomarkers such as gases (H₂O₂ and VOCs), cations (polyamines), fatty acids, cytokines, and aldehydes, in addition to traces of drugs and antibiotics. A common feature of nanosensors is their ability to amplify signals and rapidly detect EBC analytes with high sensitivity and specificity. …”
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ANALYTICAL FEATURES OF SYNTHETIC MDMB(N)-073F CANNABIMIMETICS AND ITS MARKERS IN BIOLOGICAL MATERIAL by S. S. Kataev, O. N. Dvorskaya, M. A. Gofenberg, A. V. Labutin, A. B. Melentyev

“…The aim of the research is to study both analytical features of synthetic MDMB(N)-073F cannabimimetics of indazole carboxamides group by gas chromatography methods combined with tandem mass spectrometry (GC-MS) and high performance liquid chromatography with high-resolution mass spectrometry (HPLC-HRMS) as well as characteristics of the major MDMB(N)-073F metabolite, its glucuronide and derivatives, using gas chromatography with mass-spectrometric (GC-MS) detection and high-performance liquid chromatography (HPLC) with MS/MS mass spectrometry (HPLC-MS/MS) in urine samples to be applied in expert practice, chemical-toxicological and forensic and chemical analyses.Materials and methods. …”
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Synovial cesys in children: clinical features, diagnostics, treatment (analytical review of the literature and own observation) by V.S. Konoplitskyi, Yu. Ye. Korobko, B.L. Pavlenko, H.M. Rudenko, O.A. Korobko, S.V. Klymenko

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Analytical computation for segmentation and classification of lumbar vertebral fractures by Roseline Nyange, Hemachandran Kannan, Channabasava Chola, Saurabh Singh, Jaejeung Kim, Anil Audumbar Pise

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Features of Unmanned Aircraft Detection Using Precision Approach Radar by E. A. Rubtsov, A. V. Fedorov, N. V. Povarenkin, M. Al-Rubaye

“…An analytical method was used for determining the maximum detection range for a precision approach radar, taking into account UAV characteristics. …”
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