Pulse Compression Probing for Active Islanding Detection by Nicholas Piaquadio, N. Eva Wu, Morteza Sarailoo

“…The rapid growth of inverter-based resources (IBRs) has created a need for new islanding detection methodologies to determine whether an IBR has been disconnected from the transmission grid in some manner (islanded) or remains connected to the transmission grid (grid-connected). …”
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Recursive Sentiment Detection Algorithm for Russian Sentences by Anatoliy Y. Poletaev, Ilya V. Paramonov

“…The article is devoted to the task of sentiment detection of Russian sentences. The sentiment is conceived as the author's attitude to the topic of a sentence. …”
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Training humans for synthetic face image detection by Ramlah Sara Rehman, Ewald Meier, Mathias Ibsen, Christian Rathgeb, Robert Nichols, Christoph Busch

“…Additionally, it is important to explore whether specialized training can enhance the ability of individuals to detect synthetically generated face images. In this work, we address these challenges by designing an online experiment to evaluate human detection capabilities and the impact of training on detecting synthetic face images. …”
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Utilizing Duplicate Announcements for BGP Anomaly Detection by Rahul Deo Verma, Pankaj Kumar Keserwani, Vinesh Kumar Jain, Mahesh Chandra Govil, Valmik Tilwari

“…The Border Gateway Protocol (BGP) is the backbone of inter-domain routing on the internet, but its susceptibility to both benign and malicious anomalies creates substantial risks to both network reliability and security. …”
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An embedded intelligence engine for driver drowsiness detection by Shirisha Vadlamudi, Ali Ahmadinia

“…The final model is created and trained using long short‐term memory and then the final TensorFlow model is converted to TensorFlow Lite model and this Lite model is used on Raspberry Pi board to detect the drowsiness of drivers. …”
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An Intelligent Model for Facial Skin Colour Detection by Chih-Huang Yen, Pin-Yuan Huang, Po-Kai Yang

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Machine Learning Based Classification for Spam Detection by Onur Sevli, Serkan Keskin

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Motion detection for patient safety in CT scanner by Zaynab Boujelb, Ahmed Idrissi, Achraf Benba, El Mahjoub Chakir

“…It uses advanced image processing techniques to detect motion and stop the emission of X-rays from the machine as soon as the motion of the patient is detected. …”
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ShipYOLO: An Enhanced Model for Ship Detection by Xu Han, Lining Zhao, Yue Ning, Jingfeng Hu

“…The structure effectively improves the model’s feature extraction effect for ships of different scales and reduces the number of model parameters, further improving the model’s inference speed and detection accuracy. In addition, we have created a ship dataset with a total of 2238 images, which is a single-category dataset. …”
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An Early Detection of Asthma Using BOMLA Detector by Md. Abdul Awal, Md. Shahadat Hossain, Kumar Debjit, Nafiz Ahmed, Rajan Dev Nath, G. M. Monsur Habib, Md. Salauddin Khan, Md. Akhtarul Islam, M. A. Parvez Mahmud

“…Even in the worst cases, it may destroy the quality to lead. Therefore, early detection of asthma is urgently needed, and machine learning can help identify asthma accurately. …”
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Eoldist, a Web Application for Estimating Cautionary Detection Distance of Birds by Automatic Detection Systems to Reduce Collisions With Wind Turbines by Julie Fluhr, Olivier Duriez, Constance Blary, Thierry Chambert, Bettina Almasi, Patrik Byholm, Nelleke H. Buitendijk, Jocelyn Champagnon, Mindaugas Dagys, Wolfgang Fiedler, Charlotte Francesiaz, Frédéric Jiguet, Simon Lee, Alexandre Millon, Flavio Monti, Lucile Morcelet, Ran Nathan, Bart A. Nolet, Rascha Nuijten, Philippe Pilard, Cécile Ponchon, Alexandre Roulin, Carlos D. Santos, Orr Spiegel, Kim Schalcher, Aurélie De Seynes, Geert Spanoghe, Martin Wikelski, Ramunas Žydelis, Aurélien Besnard

“…We created a web application, Eoldist, to calculate cautionary detection distances required by an ADS, using bird flight speed and turbine shutdown time as input parameters. …”
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CLEAN Technique to Classify and Detect Objects in Subsurface Imaging by E. Karpat

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Fusion of Deep Features of Wavelet Transform for Wildfire Detection by Akbar Asgharzadeh-Bonab, Salar Ghamati, Farid Ahmadi, Hashem Kalbkhani

“…Ultimately, the presence or absence of wildfire locations in the images was detected using proper classifiers. The proposed method reaches an accuracy and F1 score of 0.9684 and 0.9672, respectively, from the images of the FLAME dataset, indicating its efficiency in detecting the presence of wildfire locations. …”
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Domain Adaptation for Pedestrian Detection Based on Prediction Consistency by Yu Li-ping, Tang Huan-ling, An Zhi-yong

“…Pedestrian detection is an active area of research in computer vision. …”
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Transparent glass composite for ionizing radiation detection and imaging by Xiaoyun Xu, Xinyi Liu, Xinyue Chen, Huihong Lin

“…This study presents a series of transparent glass composite scintillators designed for ionizing radiation detection and imaging. An in-situ crystallization method has been employed to create transparent glass composites embedded with various scintillating units (CaF2, SrF2, and BaF2). …”
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ENHANCING EXPLAINABILITY IN DEEPFAKE DETECTION WITH GRAPH ATTENTION NETWORKS by Aleksandr S. Pikul, Ilya Yu. Popov

“…It’s compares two versions of the model, GATv1 and GATv2, and show how both create clear visual explanations while still performing well in detecting deepfakes. …”
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Multi-branch network for double JPEG detection and localization by Ahmed M. Fouad, Hala H. Zayed, Ahmed Taha

“…Abstract Recently, the accessibility and user-friendly nature of image editing tools have increased, allowing even inexperienced users to create and share forged images. Therefore, developing forensic methods to detect forged images is crucial. …”
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Detection of network intelligence features with the decision tree model by N. P. Sharaev, S. N. Petrov

“…O b j e c t i v e s .  Early detection of network intelligence allows to reduce the risks of information security of organizations. …”
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An improved Harris corner detection method for honeycomb structures by Pengfei Zheng, Wilson Byiringiro, Weiwei Xie, Zhengkai Jiang, Can Cui, Yongjun Wu

“…Thus, various image processing techniques have been employed to evaluate the cell shape and detect structural defects within these structures. …”
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Detection of child depression using machine learning methods. by Umme Marzia Haque, Enamul Kabir, Rasheda Khanam

“…There has been no research employing machine learning (ML) approaches for depression detection among children and adolescents aged 4-17 years in a precisely constructed high prediction dataset, such as Young Minds Matter (YMM). …”
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