model-based adaptive detection
An adaptive smartphone anomaly detection model based on data mining
... The detection model can be used for smartphone secur- ity evaluation, which is very suitable for real-life applica- ...in detection of the deeply hidden anomaly, which will be studied in our fu- ture ...
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Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection
... action based manipula- tions, trade based manipulation usually does not contain any illegitimate actions such as financial rumour spreading and market resource squeezing but is carried out only by legal ...
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Adaptive image enhancement algorithm based on the model of surface roughness detection system
... roughness detection technology, all the thermal infrared imagers today have extremely high dynamic range (HDR), which can reach up to 14 bits or even higher (in this paper, 14 bits is adopted as an example) [1, ...
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An Improved Adaptive Background Mixture Model for Realtime Tracking with Shadow Detection
... to model each background pixel by a mixture of K Gaussian distributions (K is a small number from 3 to ...the model to adapt to changes in illumination and run in real-time, an update scheme was ...is ...
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UWB-Radar-Sensed Human Respiratory Signal Modeling Based on the Morphological Method
... signal model. According to the detection theory, it is crucial to set up an appropriate model to fulfil the detection ...This model uses a morphological operator to dilate or erode the ...
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A Novel Blind Image Watermark Detection Algorithm Based on Generalized Gaussian Distribution
... statistically model the alternating current coefficient of discrete cosine transform, we present an adaptive detection algorithm for blind watermark and calculate its asymptotic relative efficiency, ...
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Detection of shifted double JPEG compression by an adaptive DCT coefficient model
... tampering detection method in this ...statistical model for the DCT coeffi- cients of SDJPEG patches, which provides a more accurate estimation of the quantization noise introduced by the shifted JPEG ...
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Adaptive deep learning for head and neck cancer detection using hyperspectral imaging
... cancer detection on hyperspectral images in an animal ...trained based on the wavelength bands on hyperspectral images to extract the deep information to create a pixel-wise prediction of cancerous and ...
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Model based predictive adaptive delta modulation
... better detection of the synchronization signals, which are usually embedded within the data stream, (when dealing with command signals for example), and handling constraints which usually come from the electrical ...
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An Adaptive Intrusion Detection Model based on Machine Learning Techniques
... Intrusion detection continues to be an active research ...intrusion detection community still faces several difficult ...Anomaly detection is a key element of intrusion detection in which ...
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Worm Attack Classification Using Ensemble Classifier and DAG
... a detection model for worm based on multi classifier and the details are, A “WDMAC” model for worm's detection using data mining techniques by combination of classifiers (Naive Bayes, ...
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Novel Adaptive Neuro Fuzzy based Edge Detection Technique
... The proposed ANFIS detector is a first-order Sugeno type fuzzy inference system with 8-inputs and 1-output. Each input has 2 triangular type membership functions and the output has a constant membership function. ...
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Adaptive Feature Fusion Object Tracking with Kernelized Correlation Filters
... the model is prone to ...forward adaptive feature fusion object tracking with kernelized correlation filters ...method based on tracking confidence is proposed to improve the robustness of object ...
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Intelligent Adaptive Presentation and E testing System based on User Modeling and Course Sequencing in Virtual Classroom
... possible to use more types when required . They are verbal (ver.) , visual (vis) and analyst (ana) .They are represented in the set < ver ,vis , ana > . Sequences of LOs and other activities are organized in a tree ...
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Model updating mechanism of concept drift detection in data stream based on classifier pool
... the model, which is built on old data, unable to adapt to the new data, and regular updating of the model is ...the model from data become more challen- ging in the presence of concept ...drift ...
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Enhanced Fuzzy based Hough Transform for Lane Mark Detection
... Therefore adaptive threshold value is required to improve the results ...segmentation based techniques are shown in ...lane detection results of AHT by using gradient processing and Fuzzy ...
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A visual adaptive authoring framework for adaptive hypermedia
... the Adaptive Personalised eLearning Services (APeLS) was used for 4 years as a part of undergraduate degree level ...generated based on the prior knowledge pretest instrument produced courses they expected ...
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Classification of Selfish and Regular Nodes Based on Reputation Values in MANET Using Adaptive Decision Boundary
... mathematical model has been used to classify selfish nodes in ...mathematical model showing the classifica- tion of nodes (regular and selfish classes) in ...This model is verified by experimentation ...
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Erroneous Classified Attack: A Time Bomb
... Intrusion detection and prevention systems (IDPS) are primarily focused on identifying possible incidents, logging information about them, attempting to stop them, and reporting them to security ...intrusion ...
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A Survey on Intrusion Detection Techniques
... outlier detection where, the anomaly dataset is measured by the Neighbourhood Outlier Factor ...trained model consist of big datasets with distributed storage environment for improving the performance of ...
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