Local Outlier Detection Method Based on Improved K-means by Yu ZHOU, Hao XIA, Xuezhen YUE, Peichong WANG

“…Most clustering-based outlier detection methods primarily detect outliers in the dataset from a global perspective, with weaker performance in detecting local outliers. …”
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An Anomaly Detection Method for Multivariate Statistical Process Based on POT by Dazhi ZHANG, Xiaoyu LUO, Sheng ZHENG

“…[Method] The principal component analysis (PCA) method was adopted to construct an anomaly detection model, where the squared prediction error (SPE) statistic of the model served as the initial threshold for the POT algorithm. …”
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Alzheimer’s Disease Detection Using Deep Learning and Federated Learning by Taha Bin Niaz, Usman Amjad, Humera

“… Appropriate and precise diagnosis of brain diseases is crucial as many forms of Alzheimer’s disease display similar indications in their initial stages. Most automatic detection or classification systems based on deep learning present confidentiality concerns due to their use of integrated computing and local storage data requirements for training. …”
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Unsupervised Salient Object Detection by Aggregating Multi-Level Cues by Chenxing Xia, Hanling Zhang

“…In this paper, we present a novel method to detect salient object based on multi-level cues. First, a proposal processing scheme is developed by various object-level saliency cues to generate an initial saliency map. …”
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Applying Extensions of Evidence Theory to Detect Frauds in Financial Infrastructures by Luigi Coppolino, Salvatore D'Antonio, Valerio Formicola, Luigi Romano

“…In order to solve these flaws, a number of amendments and extensions of the initial DS model have been proposed in literature. …”
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Transforming Weakness into Strength: Improving Unreliable Malware Detection Methods by Pavel Novak, Vaclav Oujezsky

“…Key contributions include a novel combination of unreliable IoCs with sequence alignment methods, an extensive mapping study of detection techniques, and initial experiments on a dataset of over 19,000 malware samples. …”
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Detection of Dashboard in Fuzzy Image by Correction Force Snake Model by YU Shu-chun, DONG Jing-yi

“…Secondly，the boundary area detected by Hough transform is the initial boundary of Snake algorithm. …”
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Case Report: The role of bone scans in detecting Ribbing disease by Abel Dambrain, Clément Bouron, Franck Lacoeuille, Franck Lacoeuille

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Broadcasting American red squirrel vocalizations influences detection probability. by Ian G Warkentin, Heather E Spicer, Jenna P B McDermott, Darroch M Whitaker, Erin E Fraser

“…Response to vocalization broadcast was highest when local population density was lowest. Higher detection probability during the initial silent periods of our surveys, when population density was high, likely reflects the greater chance of spontaneous vocalizations in response to the behavior of neighbors.…”
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A novel external online calibration system for polarization detection by Li Zishuo, He Honghui, Wu Jian

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Cell‐free DNA for detection and monitoring of extramedullary AML relapse by Henri C. Hupe, Clara P. Wienecke, Stephan Bartels, Elisa Schipper, Jannika Leßmann, Alina Lasch, Maximilian Bader, Razif Gabdoulline, Martin Neugebohren, Elke Dammann, Hans H. Kreipe, Ulrich Lehmann, Anke K. Bergmann, Nataliya Di Donato, Michael Stadler, Matthias Eder, Arnold Ganser, Florian H. Heidel, Felicitas Thol, Michael Heuser

“…Among 44 mutations identified in 14 IEM‐AML relapse tumors, 30 mutations (68%) were known from initial diagnosis. Using diagnostic mutations from initial diagnosis for MRD analysis and detection of IEM‐AML relapse, 16 of 17 IEM‐AML relapse episodes were detected via cfDNA, whereas only 7 of 17 were identified using conventional analysis of BMMC or PBMC. …”
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Updating the Earth remote sensing software for the detection of thermal anomalies by S. A. Zolotoy, I. B. Strashko, Dz. S. Kotau, I. M. Nestsiarovich, V. V. Rouba, Dz. V. Valakhovich

“…Special attention was paid to the problem of improving the accuracy of determining the coordinates of fires and reducing the time required for initial data processing.Re s u l t s. A retrospective analysis of the main stages of improving the software for natural fires detection and obtained during practical tests generalized results are provided. …”
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Relative Pose Estimation of an Uncooperative Target with Camera Marker Detection by Batu Candan, Simone Servadio

“…Advanced image preprocessing techniques, including noise addition and blurring, are employed to improve marker detection accuracy and robustness from a chaser spacecraft. …”
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Analysis for Detecting Banana Leaf Disease Using the CNN Method by Nita Helmawati, Ema Utami

“…Banana farmers face major challenges due to banana leaf diseases such as Cordana, Pestalotiopsis and Sigatoka, which severely affect the quality and quantity of the crop. Early detection of these diseases is particularly challenging as the initial symptoms are often similar to other disorders. …”
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An Intermittent Fertilization Control System for Fruit Tree Crown Detection by Hao Yin, Pengyu Jing, Chen Ma, Liewang Cao, Chengsong Li, Lihong Wang

“…The initial stage of the process entails the design of the essential components of the fertilization apparatus, followed by the construction of the intermittent fertilization control system. …”
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Isfahan Artificial Intelligence Event 2023: Reflux Detection Competition by Azra Rasouli Kenari, Ahmadreza Montazerolghaem, Zahra Zojaji, Mehdi Ghatee, Behnam Yousefimehr, Amin Rahmani, Mahdi Kalani, Farnoush Kiyanpour, Mohamad Kiani-Abari, Mohammad Yasin Fakhar, Safiyeh Rezaei, Mojtaba Tahernia, Mohammad Hossein Vafaie, Hamidreza Besharatnezhad, Vahid Rahimi Bafrani, Mohamad Taghi Tofighi, Peyman Adibi Sedeh, Maryam Soheilipour, Hossein Rabbani

“…Accurately characterizing reflux events from MII data are crucial for GERD diagnosis. Despite the initial introduction of clinical literature toward software advancements several years ago, the reliable extraction of reflux events from MII data continues to pose a significant challenge. …”
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AnomLite: Efficient binary and multiclass video anomaly detection by Anna K. Zvereva, Mariam Kaprielova, Andrey Grabovoy

“…Anomaly detection in video surveillance is critical for ensuring public safety, as manual monitoring of numerous video feeds is often challenging and prone to human error. …”
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MF-YOLO: Mask Wearing Detection Algorithm for Dense Environments by Peng Wen, Zhengyi Yuan, Junhu Zhang, Haitao Li

“…To address the challenges of false positives and missed detections in face mask detection within dense environments, we propose the MF-YOLO face mask detection model. …”
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AN ITERATIVE PROCEDURE FOR OUTLIER DETECTION IN GSTAR(1;1) MODEL by Nur'ainul Miftahul Huda, Utriweni Mukhaiyar, Nurfitri Imro'ah

“…The first step is to form a GSTAR model without outlier factors. Furthermore, the detection of outliers from the model's residuals. If an outlier is detected, add an outlier factor into the initial model and estimate the parameters so that a new GSTAR model and residuals are obtained from the model. …”
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Recent advances in biomarker detection of oral squamous cell carcinoma by Lan Liu, Xiaowu Zhong, Yue Zhong, Lihua Li

“…Early detection is critical, as it can improve five-year survival rates from below 50% to 70–90%. …”
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