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Evaluating machine learning-based intrusion detection systems with explainable AI: enhancing transparency and interpretability
Published 2025-05-01“…Machine Learning (ML)-based Intrusion Detection Systems (IDS) are integral to securing modern IoT networks but often suffer from a lack of transparency, functioning as “black boxes” with opaque decision-making processes. …”
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242
Finite mixtures of functional graphical models: Uncovering heterogeneous dependencies in high-dimensional data.
Published 2025-01-01“…In this work, we propose finite mixtures of functional graphical models (MFGM), which detect the heterogeneous subgroups of the population and estimate single graph for each subgroup by considering the correlation structures. …”
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243
Smart Fault Detection, Classification, and Localization in Distribution Networks: AI-Driven Approaches and Emerging Technologies
Published 2025-01-01“…However, with nations worldwide actively pursuing carbon neutrality and emission peak goals, sustainable energy sources such as solar and wind are increasingly penetrating distribution networks, posing significant challenges to conventional fault detection, classification, and localization techniques due to bidirectional power flows, dynamic fault currents, and rising network complexity. …”
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244
Dynamic activation and enhanced image contour features for object detection
Published 2023-12-01“…At this stage mobile devices often have limited storage resources to deploy large object detection networks and need to meet real-time requirements. …”
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245
Multimodal imaging analysis and structure-function correlation in patients exposed to pentosan polysulfate sodium
Published 2025-07-01“…Purpose: To study the anatomic and functional retinal changes in patients exposed to pentosan polysulfate (PPS) using multimodal imaging and mesopic microperimetry. …”
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246
Source Process Estimation for the 2024 Mw 7.1 Hyuganada, Japan, Earthquake and Forward Modeling Using N‐net Ocean Bottom Seismometer Data
Published 2025-05-01“…The N‐net seafloor seismograms of the mainshock with a frequency of ∼0.05 Hz recorded east of the source area were reproduced for several stations using the empirical Green's function approach based on the estimated source process data.…”
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A fuzzy method for improving the functionality of search engines based on user's web interactions
Published 2015-04-01Get full text
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249
Deception mechanisms of FDA‒AWACS against passive monopulse angle measurements
Published 2024-11-01Get full text
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250
Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg...
Published 2025-05-01“…This study aims to improve the accuracy of fire source detection, the efficiency of path planning, and the precision of firefighting operations in drone swarms during fire emergencies. …”
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A fuzzy track-to-track association algorithm with dynamic time warping for trajectory-level vehicle detection
Published 2025-03-01“…Multi-source track-to-track association (TTTA), which identifies trajectories from multiple sensors or data sources of the same dynamic vehicle, is an important data fusion technique widely applied to vehicle detection in the fields of road, marine, and aviation transportation. …”
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253
Computational Temporal Ghost Imaging Using Intensity-Only Detection Over a Single Optical Fiber
Published 2018-01-01“…We propose a method of computational temporal ghost imaging over a single optical fiber using simple optical intensity detection instead of coherent detection. The transfer function of a temporal ghost imaging system over a single optical fiber is derived, which is a function of the total fiber dispersion and the power density spectrum of the light source. …”
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254
SOFTWARE COMPONENT DEVELOPMENT FOR PARALLEL GATEWAYS DETECTION AND QUALITY ASSESSMENT IN BPMN MODELS USING FUZZY LOGIC
Published 2025-07-01“…This features are evaluated using “soft” modeling rules based on fuzzy membership functions. Additionally, an activation function with the 0.5 threshold is used to generate binary quality indicators and calculate an integral quality assessment measure. …”
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Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach
Published 2024-10-01“…Firstly, the regression method learns the image features of the dataset and the specific region growth threshold, and the regression function is trained by using the open-source dataset to determine the region growth threshold using the characteristics of the images included in the tests. …”
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Three-Dimensional Real-Scene-Enhanced GNSS/Intelligent Vision Surface Deformation Monitoring System
Published 2025-04-01“…The system integrates GNSS monitoring terminals and multi-source meteorological sensors to accurately capture minute displacements at monitoring points and multi-source Internet of Things (IoT) data, which are then automatically stored in MySQL databases. …”
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259
Arlclustering: an R package for community detection in social networks based on user interaction and association rule learning
Published 2025-07-01“…Abstract ARLClustering is an open-source R package for community detection in social networks. …”
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