Search Results - (( evolution classification modeling algorithm ) OR ( data virtualization path algorithm ))
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Classification of Immunosignature Using Random Forests for Cancer Diagnosis
Published 2015“…In this work, we will develop a robust classification model that can be utilized in cancer diagnosis using immunofingerprint data. …”
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Proceeding Paper -
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Sistem navigasi berasaskan algoritma Dijkstra di dalam persekitaran tiga dimensi
Published 2008“…Therefore, it is the aim of this study to conduct a research about the Dijsktra’s algorithm implementation for shortest path calculation in 3D environment. …”
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Thesis -
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Deep learning detector for pests and plant disease recognition
Published 2020“…Meanwhile, evolution in deep convolutional neural networks for image classification has rapidly improved the accuracy of object detection, classification and system recognition. …”
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Final Year Project / Dissertation / Thesis -
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A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network
Published 2023“…The multi-criterion energyefficient routing mechanism uses the ACO algorithm, inspired by ants' foraging behaviour. In Bluetooth M-LPNWSN systems, virtual ants explore paths based on signal robustness, distances, and energy consumption. …”
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Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
Published 2024“…Finally, a new logic mining model namely Y-Type Random 2-Satisfiability Reverse Analysis was proposed, which showed optimal performances in terms of several metrics as compared to the existing classification models. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…However, the learning complexity of classification is increased due to the expansion number of learning model. …”
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Digital economy tax compliance model in Malaysia using machine learning approach
Published 2021“…The experimental results show that the ensemble method can improve the single classification model’s accuracy with the highest classification accuracy of 87.94% compared to the best single classification model. …”
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Article -
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Stock market turning points rule-based prediction / Lersak Photong … [et al.]
Published 2021“…Feature selection was used to sort out key features for further classification. News classification into factors affecting stock market turning point was done using Naïve Bayes, Deep Learning, Generalized Linear Model (GLM) and Support Vector Machine (SVM). …”
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Book Section -
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Design and implementation of MD5 hash function algorithm using verilog HDL
Published 2022“…The architecture includes MD5 padding block, data path, and a controller. A general concept and implementation of the MD5 hash function is described. …”
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Conference or Workshop Item -
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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ios Mobile Malware Deep Analysis And Classification For Social Media And Online Banking Exploitation
Published 2024thesis::master thesis -
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Development of obstable avoidance system for 3D robot navigation
Published 2024“…In conclusion, the developed algorithm enables the robot to detect obstacles that are not on the same plane as the 2D LiDAR and cannot be detected using depth camera data.…”
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Final Year Project / Dissertation / Thesis -
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Design and Implementation of MDS Hash Function Algorithm Using Verilog HDL
Published 2020“…The architecture includes MD5 padding block, data path, and a controller. A general concept and implementation of the MD5 hash function is described. …”
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Article -
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Vehicle route tracking system based on vehicle registration number recognition using template matching algorithm
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Conference or Workshop Item -
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Diagnosis of voice disorders using band energy spectrum in wavelet domain
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Working Paper -
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Intruder localization wireless sensor network radar design with virtual reference tags
Published 2014“…This research designs a WSN (Wireless Sensor Network) algorithm for human intruder localization and path detection. …”
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Thesis -
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