Toward Causal and Evidential Open-Set Temporal Action Detection by Zhuoyao Wang, Rui-Wei Zhao, Rui Feng, Cheng Jin

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Concept Drift Detection Based on Deep Neural Networks and Autoencoders by Lisha Hu, Yaru Lu, Yuehua Feng

“…In domains such as fraud detection, healthcare, and industrial equipment maintenance, streaming data often exhibit characteristics such as continuous generation, high real-time processing requirements, and complex distributions, making it susceptible to concept drift. …”
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Evaluating the Performance of SVM, Isolation Forest, and DBSCAN for Anomaly Detection by Lu Haowen

“…With the advancement of computer technologies, various data models and algorithms have been integrated into industrial processes, significantly improving the efficiency of anomaly detection in datasets while reducing time and energy consumption. …”
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Detection of smoke from infrared image frames in the aircraft cargoes by Li Deng, Qian Chen, Yuanhua He, Xiubao Sui, Qin Wang

“…Since, in the cargo of civil aircraft, visible image processing technology cannot be used to detect smoke in the event of a fire due to the closed dark environment, a novel smoke detection method using infrared image processing technology is presented. …”
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Dynamics of the island mass effect – Part 1: Detecting the extent by G. Bourdin, L. Karp-Boss, L. Karp-Boss, F. Lombard, G. Gorsky, E. Boss

“…<p>In the vast Pacific Ocean, remote islands and atolls induce mesoscale and sub-mesoscale processes that significantly impact the surrounding oligotrophic ocean, collectively referred to as the island mass effect (IME). …”
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Code vulnerability detection method based on graph neural network by Hao CHEN, Ping YI

“…The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible vulnerabilities.A code vulnerability detection method based on graph neural network was proposed, which realized function-level code vulnerability detection through the control flow graph feature of the intermediate language.Firstly, the source code was compiled into an intermediate representation, and then the control flow graph containing structural information was extracted.At the same time, the word vector embedding algorithm was used to initialize the vector of basic block to extract the code semantic information.Then both of above were spliced to generate the graph structure sample data.The multilayer graph neural network model was trained and tested on graph structure data features.The open source vulnerability sample data set was used to generate test data to evaluate the method proposed.The results show that the method effectively improves the vulnerability detection ability.…”
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Optical Differentiation and Edge Detection Based on Birefringence of Uniaxial Crystals by Xu Chen, Ping Huang, Xuan Tang, Xunong Yi

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Ensemble Transformer–Based Detection of Fake and AI–Generated News by Md. Ishraquzzaman, Mohammed Ashraful Islam Chowdhury, Shahreen Rahman, Riasat Khan

“…This work leverages advanced natural language processing, machine learning, and deep learning algorithms to effectively detect fake and AI–generated content. …”
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Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer by L. Guanter, L. Guanter, J. Warren, M. Omara, A. Chulakadabba, A. Chulakadabba, J. Roger, M. Sargent, J. E. Franklin, S. C. Wofsy, R. Gautam

“…In this work, we present a computationally efficient data processing chain optimized for the detection and quantification of methane plumes with MethaneAIR. …”
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Dysarthria Severity detection Using Recurrent and Convolutional Neural Networks by Amina Hamza, Djamel Addou

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Face and silhouette based age estimation for child detection system by Tomasz Lehmann, Piotr Paziewski, Andrzej Pacut

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Gaussian-Based Approach to Subpixel Detection of Blurred and Unsharp Edges by Anna Fabijańska

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Detecting and Mitigating Wind Turbine Clutter for Airspace Radar Systems by Wen-Qin Wang

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Two distinct dynamic modes subtend the detection of unexpected sounds. by Jean-Rémi King, Alexandre Gramfort, Aaron Schurger, Lionel Naccache, Stanislas Dehaene

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Artificial Intelligence applications in anomaly identification detection of big database by Phan Huy Thang, Nguyen Thi Ngoc Anh

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Detection of Malicious Executables Using Rule Based Classification Algorithms by Neeraj Bhargava, Aakanksha Jain, Abhishek Kumar, Dac-Nhuong Le

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Robust Image Forgery Detection Using Point Feature Analysis by Youssef William, Sherine Safwat, Mohammed Abdel-Megeed Salem

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Machine Learning Algorithms for Retinal Image Analysis and Glaucoma Detection by Akhter Hussain Syed, Pratap Mohanrao Mohite, Sandip Eknathrao Ingle, Mohammad Waseem Ahmed Siddiqui, Zeeshan Raziuddin Mohammed

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Impact of Spelling and Editing Correctness on Detection of LLM-Generated Emails by Paweł Gryka, Kacper Gradoń, Marek Kozłowski, Miłosz Kutyła, Artur Janicki

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Defect detection based on extreme edge of defective region histogram by Zouhir Wakaf, Hamid A. Jalab

“…Automatic thresholding has been used by many applications in image processing and pattern recognition systems. Specific attention was given during inspection for quality control purposes in various industries like steel processing and textile manufacturing. …”
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