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521
Suburothelial Bladder Contraction Detection with Implanted Pressure Sensor.
Published 2017-01-01“…Current methods of determining bladder contractions are not amenable to chronic or ambulatory settings. In this study we evaluated detection of bladder contractions using a novel piezoelectric catheter-free pressure sensor placed in a suburothelial bladder location in animals.…”
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522
Attention-based approach of detecting spam in social networks
Published 2020-02-01“…In social networks,a large amount of spam has seriously threaten users' information security and the credit system of social websites.Aiming at the noise and sparsity problems,an attention-based CNN method was proposed to detect spam.On the basis of classical CNN,this method added a filter layer in which an attention mechanism based on Naive Bayesian weighting technology was designed to solve the noise issue.What’s more,instead of the original pooling strategy,it adapted an attention-based pooling policy to alleviate the sparsity problem.Compared with other methods,the results show that the accuracy has increased by 1.32%，2.15%，0.07%，1.63% on four different data sets.…”
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523
Worm detection and signature extraction based on communication characteristics
Published 2007-01-01“…Worm detection and signature extraction was presented based on analysis of similar communication character-istics,which identifies the distinct communication pattern of worm spread,and evaluates the similarity metric of commu-nication characteristic sets,and detects worms by detecting their infectivity with higher detection precision,generality and adaptability.Based on this,a heuristic detection framework is designed,which eliminates non-worm traffic from protocol,sequence,and content in three levels via blind,intent and lock track,then filters out worm packets and extracts signatures.The technique reduces data collection volume and analysis cost dramatically,and can detection worm and ex-tract signature quickly in the environment with high strength background noise.…”
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524
Overview of anomaly detection techniques for industrial Internet of things
Published 2022-03-01“…In view of the differences of existing anomaly detection methods and the applicability when applied to security protection of the industrial Internet of things (IIoT), based on technical principles, the network anomaly detection papers published from 2000 to 2021 were investigated and the security threats faced by IIoT were summarized.Then, network anomaly detection methods were classified into 9 classes and the characteristics of each class was studied.Through longitudinal comparison, the merits and shortcomings of different methods and their applicability to IIoT scenarios were sorted out.In addition, statistical analysis and comparison of common data sets were made, and the development trend in the future was forecasted from 4 directions.The analysis results can guide the selection of adaptive methods according to application scenarios, identify key problems to be solved, and point out the direction for subsequent research.…”
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525
A Multistep Framework for Vision Based Vehicle Detection
Published 2014-01-01“…On road experimental results demonstrate that the algorithm performs better than state-of-the-art vehicle detection algorithm in testing data sets.…”
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526
A comprehensive review of ball detection techniques in sports
Published 2025-08-01“…Detecting balls in sports plays a pivotal role in enhancing game analysis, providing real-time data for spectators, and improving decision-making and strategic thinking for referees and coaches. …”
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527
Application of deep learning models for pest detection and identification
Published 2025-04-01“…By incorporating cutting-edge AI and deep learning technologies, this study unveils a fresh method for rapid and precisely identifying pests in agricultural settings. This research makes use of high-resolution image technologies and Convolutional Neural Networks (CNNs) to showcase the promise of deep learning models in automated pest detection. …”
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528
Anomaly detection in medical via multimodal foundation models
Published 2025-08-01“…IntroductionRecent advances in artificial intelligence have created opportunities for medical anomaly detection through multimodal learning frameworks. However, traditional systems struggle to capture the complex temporal and semantic relationships in clinical data, limiting generalization and interpretability in real-world settings.MethodsTo address these challenges, we propose a novel framework that integrates symbolic representations, a graph-based neural model (PathoGraph), and a knowledge-guided refinement strategy. …”
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529
Risk averse reproduction numbers improve resurgence detection.
Published 2023-07-01“…These groups may be delineated by geography, infectiousness or sociodemographic factors. In these settings, R implicitly weights the dynamics of the groups by their number of circulating infections. …”
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530
Change Detection in Multitemporal High Spatial Resolution Remote-Sensing Images Based on Saliency Detection and Spatial Intuitionistic Fuzzy C-Means Clustering
Published 2020-01-01“…Firstly, the cluster-based saliency cue method is used to obtain the saliency maps of two temporal remote-sensing images; then, the saliency difference is obtained by subtracting the saliency maps of two temporal remote-sensing images; finally, the SIFCM clustering algorithm is used to classify the saliency difference image to obtain the change regions and unchange regions. Two data sets of multitemporal high spatial resolution remote-sensing images are selected as the experimental data. …”
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531
Wearable Online Freezing of Gait Detection and Cueing System
Published 2024-10-01“…This paper examines the system’s ability to operate with minimal latency, achieving an average detection delay of just 261 milliseconds and a freezing of gait detection accuracy of 95.1%. …”
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532
Prediabetes detection in unconstrained conditions using wearable sensors
Published 2024-12-01“…Two feature sets are extracted from the collected signals, based both on a dynamic modeling of the human glucose-homeostasis system and on the Glucose curve, inspired by three major glucose related blood tests. …”
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533
Detection of Broken Rotor Bars in Presence of Load Oscillations
Published 2025-01-01“…These features make it a practical and cost-effective tool for real-time fault detection and predictive maintenance in industrial settings.…”
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534
Advances and Challenges in Automated Drowning Detection and Prevention Systems
Published 2024-11-01“…Accordingly, the development of systems for detecting and preventing drowning has become increasingly critical to provide safe swimming settings. …”
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535
Model-Free Change Point Detection for Mixing Processes
Published 2024-01-01“…The MMD-CUSUM test statistic adapts to different settings without modifications, rendering it a completely data-driven, dependence-agnostic change point detection scheme. …”
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537
Early Detection of Ventilator-Associated Pneumonia: Bedside Tools
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538
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539
Cauda Equina Syndrome Core Outcome Set (CESCOS): An international patient and healthcare professional consensus for research studies.
Published 2020-01-01“…<h4>Background</h4>Cauda Equina Syndrome (CES) is an emergency condition that requires acute intervention and can lead to permanent neurological deficit in working age adults. A Core Outcome Set (COS) is the minimum set of outcomes that should be reported by a research study within a specific disease area. …”
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