Search Results - (( new estimation methods algorithm ) OR ( based detection system algorithm ))*
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1
Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff
Published 2014“…The new algorithm is tested on simulated and real data where the results show it is capable of detecting fraud activities. …”
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2
Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
Published 2012“…The experimental results show that combining the advantages of the geometric based validation and contrast based filtering as well as avoiding large quantization errors, lead to significant enhancement in the performance of the seed point detection algorithm in terms of balancing between the precision and recall. …”
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3
Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…For both indoor and outdoor scene, the proposed algorithm outperforms the other methods with accuracy 97% and 100%. …”
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4
Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…This resulted in the high accuracy of the damage detection algorithm. The second proposed method seeks to identify damage in the structural parameters of linear and nonlinear systems. …”
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5
Dynamic transmit antenna shuffling scheme for hybrid multiple-input multiple-output in layered architecture
Published 2010“…A new detection algorithm based on QR decomposition, denoted as LC-QR, is proposed. …”
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6
Load shedding scheme for islanded distribution network with flexible load selection and power changes / Ja’far Saifeddin Abdelhafiz Jallad
Published 2018“…An equivalent system inertia constant needs to be estimated in order to quantify the new power deficit. …”
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7
An improved machine learning model of massive Floating Car Data (FCD) based on Fuzzy-MDL and LSTM-C for traffic speed estimation and prediction
Published 2023“…In the second method, a new traffic estimation method is proposed using Fuzzy C-Mean (FCM) clustering and Minimum Description Length (MDL). …”
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8
Reduced rank technique for joint channel estimation and joint data detection in TD-SCDMA systems
Published 2013“…The adopted reduced rank technique is based on Singular Value Decomposition (SVD). The proposed method has declared the superiority over the conventional methods that are being used in the current applications of TD-SCDMA systems. …”
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9
Kinetic parameters estimation of the Escherichia coli (E. coli) model by Garra Rufa-inspired Optimization Algorithm (GRO)
Published 2024“…As a result of this new method, it was discovered that small-scale and even whole-cell dynamic models can be estimated accurately.…”
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10
A detailed description on unsupervised heterogeneous anomaly based intrusion detection framework
Published 2019“…Observing network traffic flow for anomalies is a common method in Intrusion Detection. More effort has been taken in utilizing the data mining and machine learning algorithms to construct anomaly based intrusion detection systems, but the dependency on the learned models that were built based on earlier network behaviour still exists, which restricts those methods in detecting new or unknown intrusions. …”
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11
Distribution network fault section estimation using analytical database approach
Published 2004“…This thesis describes the development or a new fault section estimation algorithm in a distribution network. …”
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12
Local-based stereo matching algorithm using multi-cost pyramid fusion, hybrid random aggregation and hierarchical cluster-edge refinement
Published 2023“…The estimation of Stereo Matching Algorithm (SMA) is one of the extensive research topics for obtaining the disparity map from two images. …”
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13
Wi-Fi signal strengths database construction for indoor positioning systems using Wi-Fi RFID
Published 2013“…Nowadays, fingerprinting based Wi-Fi positioning systems successfully provide location information to mobile users. …”
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14
Malay festive seasons food recognition for calorie detection / Nurul Hafiza Basiruddin
Published 2021“…Then the result from the Color Feature Extraction Method is used to identify the type of food by using Error-Correcting Output Codes (ECOC) classification which is the part of the Support Vector Machine (SVM) algorithm. …”
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15
New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz
Published 2014“…For comparison, another new hybrid algorithm incorporating ANN and AIS called as Artificial Immune Neural Network (AINN) for voltage stability prediction was also developed. …”
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16
Hybrid sampling and random forest machine learning approach for software detect prediction
Published 2019“…Matplotlib, and PyPlot are used for graph and data visualization respectively. The hybrid sampling method and Random Forest (RF) algorithms achieved the highest prediction accuracy about 93.26% by showing its superiority.…”
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17
Impact of multiplay transmission in mobile WIMAX using overlay scanning: article / Akmarya Syukhairilnisah Mohd Akhir
Published 2014“…There are several issues to impact the base station handover is a serious problem in the mobile communication system. …”
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Malay festive seasons food recognition for calorie detection using SVM and ECOC approaches / Nurul Hafiza Binti Basiruddin, Zalikha Zulkifli and Samsiah Ahmad
Published 2022“…Then the result from the Color Feature Extraction Method is used to identify the type of food by using Error-Correcting Output Codes (ECOC) classification, which is part of the Support Vector Machine (SVM) algorithm. …”
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19
Impact of multiplay transmission in mobile WIMAX using overlay scanning / Akmarya Syukhairilnisah Mohd Akhir
Published 2014“…All simulations are run using MATLAB software to develop a new Overlay Scanning Mechanism(OSMA) algorithm. …”
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20
Crowd behavior monitoring using self-adaptive social force model
Published 2019“…This work aims to develop a crowd behavior monitoring system using Self-Adaptive SFM. This algorithm is jointly used with Horn-Schunck optical flow as a motion detector for the input video. …”
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