Search Results - (( basic case detection algorithm ) OR ( java segmentation using algorithm ))
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1
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Thesis -
2
Thalassaemia detection using CBR Algorithm via mobile device
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Undergraduates Project Papers -
3
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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4
Thalassaemia detection using CBR Algorithm via mobile device
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Undergraduates Project Papers -
5
Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Proceeding Paper -
6
Development of control algorithm for a new 12s-6p single phase field excited flux switching motor
Published 2020“…For position detection, algorithms merely need a basic infrared transceiver sensor. …”
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7
Vehicle Tracking using Video Cameras
Published 2013“…In Malaysia, road crime cases keep increasing days to days and the resolved cases are very minimal. …”
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Final Year Project -
8
Multiview face emotion recognition using geometrical and texture features
Published 2017“…A 3D face pose estimation algorithm detects head rotations of Yaw, Roll and Pitch for emotion recognition. …”
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9
A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features
Published 2022“…Furthermore, using the basic features, TLSMalDetect achieved the highest accuracy of 93.69% by Naïve Bayes (NB) among the ML algorithms applied. …”
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Article -
10
Detection of low metal landmines using EMI
Published 2016“…Consequently, EMI sensors that utilize traditional detection algorithms based solely on the metal content suffer from high false alarm rates. …”
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Book Section -
11
Abnormal event detection in video surveillance / Lim Mei Kuan
Published 2014“…Post-mortem investigations surrounding such cases often found that there were missed opportunities for using technology to detect the abnormality of the suspects, which lead to those tragedies. …”
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12
Wifi positioning system / Amalina Abdul Halim
Published 2006“…Using empirical model in case of wireless positioning system is basically compares the signal strength and find the closet match in the known entries in reference table. …”
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Student Project -
13
Migrating Birds Optimization based Strategies for Pairwise Testing
Published 2015“…Two strategies have been proposed; the first strategy implements the basic MBO algorithm, called Pairwise MBO Strategy (PMBOS) and the second strategy implements an improved Pairwise MBO strategy, called iPMBOS. …”
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Conference or Workshop Item -
14
On Clustering Algorithm Of Coverage Area Problems In Wireless Sensor Networks
Published 2024“…In the case study, many algorithms have been proposed in the literature, in order to find the maximum number of disjoint or non-disjoint sets of sensor cover sets, we can see where one set can be active at any one time. …”
Article -
15
Location-Based Approach for Route Maintenance in Dynamic Source Routing Protocol
Published 2008“…The objectives of this research are to propose new algorithm to detect route failure as early warning message to the protocol to take further action, and to propose new algorithm for DSR route maintenance to response the early warning message from route failure detection algorithm. …”
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16
A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee
Published 2023“…The proposed deep learning model renders faster without the use of SMOTE. Any resampling algorithm is not a necessity in the case of this proposed algorithm. …”
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17
Nikon Inc. / Muhammad Hasif Anuar
Published 2022“…The Z 7’s autofocus algorithms is just not on the par with those of Nikon DSLRs. …”
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Entrepreneurship Project -
18
Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…In the experiment, we study the effect of introducing the outlier detection in RAN-LSH. As a result, by introducing the outlier detection, we confirm that the detection accuracy is enhanced on 377$ 3(53867$.$$1781.8781$0,1$+ average over the testing period. …”
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Thesis -
19
