Concept Drift Detection in Dynamic Probabilistic Relational Models by Nils Finke, Tanya Braun, Marcel Gehrke, Ralf Möller

“…Dynamic probabilistic relational models, which are factorized w.r.t. a full joint distribution, are used to cater for uncertainty and for relational and temporal aspects in real-world data. …”
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Quantifying Truthfulness: A Probabilistic Framework for Atomic Claim-Based Misinformation Detection by Fahim Sufi, Musleh Alsulami

Subjects: “…misinformation detection…”
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Probabilistic Lane Segmentation Using a Low–Dimensional Linear Parametrization by Acuña Carlos, Arechavaleta Gustavo, Castelán Mario

“…Consequently, this paper presents a probabilistic approach based on the Kalman filter, which uses information from previous image frames to estimate the lane that could not be detected in the current image frame, considering uncertainty in the prediction as well as in the detection. …”
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A Probabilistic Adversarial Autoencoder for Novelty Detection: Leveraging Lightweight Design and Reconstruction Loss by Muhammad Asad, Ihsan Ullah, Muhammad Adeel Hafeez, Ganesh Sistu, Michael G. Madden

“…This inconsistency arises from changes in the network’s ability to detect anomalies. In this paper, we propose a revised framework for generative probabilistic novelty detection. …”
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Robust Small-Object Detection in Aerial Surveillance via Integrated Multi-Scale Probabilistic Framework by Youyou Li, Yuxiang Fang, Shixiong Zhou, Yicheng Zhang, Nuno Antunes Ribeiro

“…Accurate and efficient object detection is essential for aerial airport surveillance, playing a critical role in aviation safety and the advancement of autonomous operations. …”
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Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram, Kashif Munir, Muhammad Usama Tanveer, Atiq Ur Rehman, Amine Bermak

“…This cancer is often detected through imaging techniques and poses significant challenges due to its potential to metastasize and vary in treatment response. …”
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Sql injection detection using Naïve Bayes classifier: A probabilistic approach for web application security by Lu Zhexi

“…Using the Naive Bayes classifier, a probabilistic model specifically developed for text classification tasks, this work introduces a novel method for detecting SQL injection vulnerabilities.The process begins by collecting and organizing a comprehensive dataset, which includes both harmful and non-malicious SQL queries. …”
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Anomaly detection by X-ray tomography and probabilistic fatigue assessment of aluminum brackets manufactured by PBF-LB by L. Rusnati, M. Yosifov, S. Senck, R. Hubmann, S. Beretta

“…Eventually, the authors proposed a fully probabilistic route for assessment instead of a simple deterministic assessment based on safety factors. …”
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Fault Detection and Isolation in Smart-Grid Networks of Intelligent Power Routers Modeled as Probabilistic Boolean Networks by Pedro J. Rivera Torres, Carlos Gershenson García, Samir Kanaan Izquierdo

“…A self-organizing complex-network modeling method, probabilistic Boolean networks, is presented as a model-based diagnostic system for detecting and isolating different types of faults, failures, and modes of operation in which a network of intelligent power routers is deployed over a standard power test case: the Western System Coordinating Council 9 Bus System. …”
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Probabilistic Characteristics of Two-Channel Detector with Single-Photon Photoemission Inertial Device by A. E. Ampliev, K. E. Rumyantsev

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Improving Brain Metabolite Detection with a Combined Low-Rank Approximation and Denoising Diffusion Probabilistic Model Approach by Yeong-Jae Jeon, Kyung Min Nam, Shin-Eui Park, Hyeon-Man Baek

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TWO-PARAMETER IRT MODEL APPLICATION TO ASSESS PROBABILISTIC CHARACTERISTICS OF PROHIBITED ITEMS DETECTION BY AVIATION SECURITY SCREENERS by A. K. Volkov, D. V. Aidarkin, A. K. Volkov

“…Within the suggested model the probabilistic detection characteristics of aviation security screeners are considered as functions of such parameters as the difference between level of qualification and level of x-ray images complexity, and also between the aviation security screeners’ responsibility and structure of their professional knowledge. …”
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Probabilistic reputation networks by Timothy Atkinson

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Unsupervised Global Difference Modeling for Image Change Detection by Wenhua Zhang, Qihao Weng, Jia Liu, Zeng Qu, Yong Li, Jinjin Chai, Liang Xiao

Subjects: “…Image change detection…”
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Anomaly distribution acquisition method for probabilistic damage tolerance assessment of hole features by Guo Li, Huimin Zhou, Junbo Liu, Shuyang Xia, Shuiting Ding

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A probabilistic fatigue crack growth life approach to the definition of inspection intervals for railway axles by C. Mallor, S. Calvo, J.L. N��ez, R. Rodr�guez-Barrachina, A. Landaberea CAF S.A., J.M. Iturrioz, 26, Beasain, Gipuzkoa, Spain

Subjects: “…probabilistic fatigue crack growth…”
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Comparison of Geometrically Shaped and Probabilistically Shaped Bit-Loading DMT for Optical Interconnect System by Junjie Ding, Jiao Zhang, Jianjun Yu

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Probabilistic Noise Detection and Weighted Non-Negative Matrix Factorization-Based Noise Reduction Methods for Snapping Shrimp Noise by Suhyeon Park, Jongwon Seok, Jungpyo Hong

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Fault Detection of Multi-Rate Two Phase Reactor Condenser System with Recycle Using Multiple Probabilistic Principal Component Analysis by Dhrumil Gandhi, Meka Srinivasarao

“…One such statistical detector technique is multiple probabilistic principal component analysis (MPPCA). MPPCA uses probabilistic PCA to detect fault signals from multiple sensors without down-sampling or up-sampling. …”
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Dynamic flood mapping by a normalized probabilistic classification method using satellite radar amplitude time series by Liangyu Ta, Chen Yu, Zhenhong Li, Xiaoning Hu, Chuang Song, Wubiao Huang, Meiling Zhou

“…Utilizing the Sentinel-1 Ground Range Detected (GRD) dataset, we proposed an improved probabilistic flood mapping method combining image Pareto Scaling (PS) normalization and Bayesian probability estimation. …”
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