بدائل البحث:
set detection » so2 detection (توسيع البحث), news detection (توسيع البحث), _ detection (توسيع البحث)
set detection » so2 detection (توسيع البحث), news detection (توسيع البحث), _ detection (توسيع البحث)
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Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
منشور في 2006"…The classification technique has the unique feature of cutting down the computation largely by only allowing the event of interest to be executed by a particular algorithm. The set-up was also tested with random signals from a 137Cs test source. …"
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Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection
منشور في 2011"…The data was used as training and testing sets to analyze certain machine learning algorithms in terms of performance (cost / benefit analysis) and accuracy (mean error square and confusion matrix). …"
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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …"
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Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…The proposed algorithm has successfully maintained homogeneity to the original data set, reduced the execution time and occupied storage space, and led to decent monitoring performance.…"
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A machine learning model for early detection of diabetic foot using thermogram images
منشور في 2021"…A comparison of the inference time for the best-performing networks confirmed that the proposed algorithm can be deployed as a smartphone application to allow the user to monitor the progression of the DFU in a home setting.…"
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Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
منشور في 2022"…The proposed improved ABO method consists in reducing the number of samples in the training data set using the Euclidean distance and extracting the most significant features from the reduced data using ABO algorithm. …"
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A Multistage Passive Islanding Detection Method for Synchronous-Based Distributed Generation
منشور في 2021"…A multistage approach to passive islanding detection is proposed that utilizes a decision tree (DT) like classification algorithm. …"
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Four-dimensional representation and collision detection for movingobjects
منشور في 1998"…We consider the collision detection problem for general objects. A four-dimensional approach is proposed for this problem which detects exactly and in one-step when and where the earliest collision will occur between the objects. …"
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Computer-aided detection of Melanoma using geometric features
منشور في 2017"…An accuracy of 89% was obtained on the testing set. The results indicate that this technique may be used to detect Melanoma skin cancer.…"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
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Artificial Intelligence for Skin Cancer Detection: Scoping Review
منشور في 2021"…Overall, studies that used smaller data sets reported higher accuracy.</p><h3>Conclusions</h3><p dir="ltr">This paper examined multiple AI-based skin cancer detection models. …"
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Semantics-based approach for detecting flaws, conflicts and redundancies in XACML policies
منشور في 2015"…This paper addresses this problem through introducing a novel set and semantics based scheme that provides accurate and efficient analysis of XACML policies. …"
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احصل على النص الكامل
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PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits
منشور في 2022"…Implications are that toxicity trigger detection algorithms can leverage generic approaches but must also tailor detections to specific communities.…"
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Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
منشور في 2023"…The data needs to be initially prepared so that deep learning algorithms may be trained on it before cyberbullying analysis can be done. …"
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
منشور في 2024"…We proposed learning technique called fast discrete curvelet transform with wrapping (FDCT-WRP) to create feature set. This method is entitled extracting curve-like features and creating a feature set. …"