A comparative study between Near-Infrared (NIR) spectrometer and High-Performance Liquid Chromatography (HPLC) on the sensitivity and specificity. by Elisa M Maffioli, Chimezie Anyakora

“…Over the past two decades, there have been significant technological advancements in low-cost, portable screening devices to detect poor-quality medicines, which could be especially beneficial in these countries. …”
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Bioinformatics and machine learning-driven key genes screening for vortioxetine by Sabire Kılıçarslan, Meliha Merve Hız

“…After feature selection for the cleaned dataset, machine learning algorithms such as the K-nearest neighbors' algorithm, Naive Bayes, and Support Vector Machine (SVM) were used. …”
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Mining Potential Spammers from Mobile Call Logs by Zhipeng Liu, Dechang Pi, Yunfang Chen

“…A time-based graph model and a simple and effective call log rank (CLRank) algorithm with ranking and classification were proposed to find potential call spammers. …”
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Orchard: Building large cancer phylogenies using stochastic combinatorial search. by Ethan Kulman, Rui Kuang, Quaid Morris

“…Here, we introduce Orchard, a cancer phylogeny reconstruction algorithm that is fast and accurate using up to 1000 mutations. …”
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Person Re-Identification With Self-Supervised Teacher for In-Box Noise by Yonghyeok Seo, Seung-Hun Kim

“…The person re-identification task, which follows the detector algorithm step, is limited to information within the detected box. …”
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Resistant Hypertension: Questions and Contemporary Answers by V. I. Podzolkov, A. E. Bragina, K. K. Osadchiy

“…Based on the results of large-scale studies, risk factors are detected that allow to assess the risk for the resistance to antihypertensive drugs. …”
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Research on a Microexpression Recognition Technology Based on Multimodal Fusion by Jie Kang, Xiao Ying Chen, Qi Yuan Liu, Si Han Jin, Cheng Han Yang, Cong Hu

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ASM-VoFDehaze: a real-time defogging method of zinc froth image by Wenhui Xiao, Zhaohui Tang, Ce Yang, Wei Liang, Meng-Yen Hsieh

“…First, the dark pixel ratio is used to detect fog in froth image, which solves the redundant calculation caused by unnecessary defogging operations. …”
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IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception by Joseph Bao, Murat Kantaciourglu, Yevgeniy Vorobeychik, Charles Kamhoua

“…We address this challenge by leveraging a core generative adversarial learning algorithm for sequences along with domain specific knowledge common to IoT devices. …”
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Difference in Quality and Volatile Flavor Compounds of Zingiber officinale Roscoe with Different Drying Methods by Jiani Chen, Jinhua Wang, Yonghui Ge, Hongrui Ping, Wenxuan Liu

“…A total of 86 volatile flavor compounds were detected in fresh ginger and all four drying samples. …”
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Open-Circuit Fault Analysis and Recognition in Three-Level Inverters Based on Recurrence Plot and Convolution Neural Network by Jianjun Yan, Yanxing Huang, Shuai Yuan, Yufan Lu, Zeyu Yu

“…In this groundbreaking study, we present a new method for accurately detecting and locating open-circuit faults in three-level, neutral-clamped inverters. …”
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Sentiment Analysis for the 2024 DKI Jakarta Gubernatorial Election Using a Support Vector Machine Approach by Mariani Mariani, Dwi Shinta Angreni, Sri Khaerawati Nur, Rinianty Rinianty, Deni Luvi Jayanto

“…These findings illustrate the complexities of public discourse surrounding key political events, highlighting the model's efficacy and the nuances of sentiment detection. Moreover, discussions on model limitations elucidate areas for enhancement, suggesting future avenues including the adoption of more sophisticated algorithms and improved data processing techniques. …”
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Local Mean Normalization of Microarray Element Signal Intensities across an Array Surface: Quality Control and Correction of Spatially Systematic Artifacts by Carlo Colantuoni, George Henry, Scott Zeger, Jonathan Pevsne

“…These methods allow the detection and/or correction of spatially systematic artifacts in microarray data. …”
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A fact-checking tool based on Artificial Intelligence to fight disinformation on Telegram by Francisco-Javier Cantón-Correa, Lucia Ballesteros-Aguayo, Andrés Montoro-Montarroso

“… This article develops an automatic detection model based on natural learning by designing a useful tool for disinformation monitoring in Telegram that avoids the algorithmic bias of artificial intelligence. …”
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Deghosting method for cross localization in distributed high frequency surface wave radar by Na Cui, Xuekun Chen, Changjun Yu

“…The simulation results demonstrate the effectiveness of the proposed method compared with the other investigated deghosting algorithms. The proposed approach exhibits robust target detection capability while significantly reducing both the OSPA error and the cardinality error.…”
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Unsupervised Learning for Heart Disease Prediction: Clustering-Based Approach by Jetty Janani., Sk Sajida Sultana., Polepalle Ranga Bhavitha., Parusu Vishwitha.

“…This paper on the prediction of heart disease addresses the application of unsupervised machine learning algorithms, digs up the latent pattern of risk in the data of patients for early diagnosis, and intervenes. …”
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Artificial Intelligence in medicine: Potential and Application Possibilities - Comprehensive literature review by Michał Kotowicz, Magdalena Bieniak-Pentchev, Maria Koczkodaj

“…Despite significant benefits, issues such as algorithmic bias, lack of transparency, and legal responsibility demand careful consideration. …”
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Single-Sensor Impact Source Localization Method for Anisotropic Glass Fiber Composite Wind Turbine Blades by Liping Huang, Kai Lu, Liang Zeng

“…This study provides a cost-effective solution for real-time detection of wind turbine blade impact events.…”
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A Non-Uniformity Correction Method for Uncooled Infrared Polarization Imaging Systems by Cailing Zhao, Zhiguo Fan, Yunxiang Zhang

“…Previous non-uniformity correction (NUC) algorithms usually couple polarization information with FPN correction, resulting in the loss of polarization characteristics. …”
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Design and Prototype of a Solar Array Malfunction Identification System. by Wabuyi, Richard

“…SAMIS integrates cutting-edge monitoring technologies and data analysis algorithms to detect, diagnose, and report issues within solar arrays. …”
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