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1
Making programmer effective for software development teams: An extended study
Published 2017“…The main purpose of this research article was to find the suitable personality type combinations of programmer with team-leaders and programmers by gender classification in software development teams. …”
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2
Automatic Classification of Cervix Type
Published 2019“…Due to that, in this study, few algorithms were developed by using image classification methods to correctly classify the cervix types based on cervical images by using segmentation and classification method. …”
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Final Year Project -
3
VHDL modeling of EMG signal classification using artificial neural network
Published 2012“…The acquired and processed EMG signal requires classification before utilizing it in the development of interfacing which is the most difficult part of the development process. …”
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4
A Machine Learning Classification Application to Identify Inefficient Novice Programmers
Published 2023Conference Paper -
5
Implementation of Hybrid Indexing, Clustering and Classification Methods to Enhance Rural Development Programme in South Sulawesi
Published 2024“…The village assistance programme can motivate and engage rural communities during the participatory and transparent phase of village development. …”
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Thesis -
6
A step towards the development of VHDL model for ANN based EMG signal classifier
Published 2012“…A feed-forward ANN with back-propagation learning algorithm is used for the classification of EMG signals. …”
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Proceeding Paper -
7
The identification of high potential archers based on relative psychological coping skills variables: a support vector machine approach
Published 2018“…Support Vector Machine (SVM) has been revealed to be a powerful learning algorithm for classification and prediction. However, the use of SVM for prediction and classification in sport is at its inception. …”
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Conference or Workshop Item -
8
Ensemble learning for multidimensional poverty classification
Published 2020“…In addition, the United Nation Development Programme (UNDP) has introduced a set of multi-dimensional poverty measurements but is yet to be applied in the case of Malaysia. …”
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9
Classification of water quality using artificial neural network
Published 2020“…Deterioration in water quality has triggered many countries to initiate serious mitigation efforts because it is essential to prevent and control water quality pollution and to implement regular monitoring programmes to preserve the environment. Hence, the water quality index (WQI) developed by Department of Environment (DOE) Malaysia has been used to classify water quality in Malaysia for the past few decades. …”
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Thesis -
10
Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system
Published 2007“…The system includes a programmable visual stimulator, EEG amplifier with filter system, data acquisition card, and signal processing and classification algorithms. …”
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Conference or Workshop Item -
11
The identification of high potential archers based on relative psychological coping skills variables: A Support Vector Machine approach
Published 2018“…Support Vector Machine (SVM) has been revealed to be a powerful learning algorithm for classification and prediction. However, the use of SVM for prediction and classification in sport is at its inception. …”
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Conference or Workshop Item -
12
Fpga-Based Accelerator For The Identification Of Finger Vein Pattern Via K-Nearest Centroid Neighbors
Published 2016“…As almost all finger vein recognition algorithms were implemented using software such as MATLAB which is based on general-purpose processor, the processing speed become the bottleneck of the development of finger vein recognition. …”
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Thesis -
13
Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui
Published 2016“…This thesis aimed to investigate and develop a novel parameterized architecture design for SENSE algorithm. …”
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Thesis -
14
Using genetic algorithms to optimise land use suitability
Published 2012“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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Thesis -
15
An efficient low-cost real-time brain computer interface system based on SSVEP
Published 2010“…The system includes a frequency-programmable visual stimulator, EEG-band amplifier and filter, 16-bit data acquisition card, and signal processing and classification algorithms. …”
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16
Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps
Published 2024“…CONCLUSION: Our results support the development of an automatic classification of pests on a sticky trap, which should focus on colour and deep learning architecture to achieve good results. …”
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