Search Results - (( gene detection method algorithm ) OR ( based communication system algorithm ))*

Optic cup and optic disc segmentation using improved selfish gene algorithm / Norharyati Md Ariff by Md Ariff, Norharyati

“…Image processing techniques were employed to segment and extract the optic cup and optic disc for glaucoma detection purpose. This study performed using a new bio-inspired algorithm; Selfish Gene Algorithm (SFGA) for optic cup and optic disc segmentation. …”
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The importance of data classification using machine learning methods in microarray data by Jaber, Aws Naser, Moorthy, Kohbalan, Machap, Logenthiran, Safaai, Deris

“…The detection of genetic mutations has attracted global attention. several methods have proposed to detect diseases such as cancers and tumours. …”
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Gene Selection For Cancer Classification Based On Xgboost Classifier by Teo, Voon Chuan

“…Gene selection is the technique that applied to the gene selection dataset, such as DNA microarray, which is develop to reduce the less informative gene, so that the selected gene is related to the disease diagnosis. …”
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Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification by Fajila, Fathima, Yusof, Yuhanis

“…In addition, the local optima issue is overcome by the population reinitialisation method. The proposed algorithm, named the CFS-Mutable Composite Firefly Algorithm (CFS-MCFA), is evaluated based on two metrics, namely classification accuracy and genes subset size, using a Support Vector Machine (SVM) classifier. …”
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A study on component-based technology for development of complex bioinformatics software by Ali Shah, Zuraini, Deris, Safaai, Othman, Muhamad Razib, Zakaria, Zalmiyah, Saad, Puteh, Hassan, Rohayanti, Muda, Mohd. Hilmi, Kasim, Shahreen, Roslan, Rosfuzah

“…Othman proposed a clustering algorithm named BTreeBicluster. The BTreeBicluster starts with the development of GO tree and enriching it with expression similarity from the Sacchromyces genes. …”
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Secured Autonomous Agent-Based Intrusion Detection System (SAAIDS) by Luqmanulhakim Mohd Nasir

Design of Improved Stream Cipher Algorithms for GSM Communication by Nur Hafiza Zakaria

CONTEXT AWARE TRAFFIC SCHEDULING ALGORITHM FOR COMMUNICATION SYSTEM IN POWER DISTRIBUTION NETWORK by NURSHAZLINA SUHAIMY

“…Smart grid is an evolution from conventional power grid in which power communication system has migrated from one-way to bi-directional communication network. …”

Gene Selection for Cancer Classification Based on XGBoost by Chuan, Teo Voon, Tomal, Md Raihanul Islam, Moorthy, Kohbalan, Howe, Chan Weng

“…This research focuses on improving gene selection for cancer classification using the XGBoost classifier, an efficient open-source implementation of the gradient boosted trees algorithm. …”
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An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection by Algriree, Waleed, Sulaiman, Nasri, Isa, Maryam, Sahbudin, Ratna K. Z., Hassan, Siti L. M., Hmood Salman, Emad, Alghrairi, Mokhalad

“…Thus, a 5G-MIMO based CR communication system has been developed to enhance the spectrum by employing a spectrum sensing (SS) algorithm. …”
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Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system by Abdolee, Reza

“…Secondly, it has focused on training based channel estimation algorithm for MIMO-OFDM system. …”
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Modem Recognition Algorithm for Software Defined Radio Base Station by Rukumangatha Rajah, Sivaraman

“…The proposed algorithm was developed based on 8th order statistical moment and the technique was chosen based on the research work done by Keith et al [15]. …”
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An extreme gradient boosting for cancer feature extraction and classification by Chuan, Teo Voon, Moorthy, Kohbalan, Nasarudin, Ismail, Mohd. Murtadha, Mohamad, Howe, Chan Weng

“…This research focuses on improving gene selection for cancer classification using the XGBoost classifier, an efficient open-source implementation of the gradient-boosted trees algorithm. …”
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Embedded Ethernet System For Real-Time Communication by Thiagarajan, Durgesh

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A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network by Ridwan M.A., Radzi N.A.M., Azmi K.H.M., Abdullah F., Ahmad W.S.H.M.W.

“…This study proposes a hybrid ML-based intrusion detection system (ML-IDS) and ML-based intelligent routing algorithm (ML-RA) for MPLS network. …”

Chaos synchronization and cryptography for secure communications / Fatin Nabila Abd Latiff by Fatin Nabila , Abd Latiff

“…In this thesis, the second part of chaos-based secure communication is introducing a new encryption algorithm to improve the security of modern chaos-based communication systems. …”
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Improving robot Darwinian particle swarm optimization using quantum-behaved swarm theory for robot exploration and communication / Duaa Mehiar by Duaa , Mehiar

“…The quantum computing theory has several advantages that can improve the searching capabilities of PSO-based algorithms. However, there has yet an attempt to adopt quantum behaviour onto robot-based system such as the RDPSO. …”
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Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms by M. Ahmed, Awadallah, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina

“…Recently wireless mesh networks (WMNs) gained significant roles in the current communication technologies and have been used in numerous applications such as transportation systems, rescue systems, Surveillance systems, community and neighborhood networking and etc. …”
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GPSO versus GA in facial emotion detection by Bashir, Mohammed Ghandi, Ramachandran, Nagarajan, Prof. Dr., Sazali, Yaacob, Prof. Dr., Hazry, Desa, Assoc. Prof. Dr.

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Identification of alzheimer diseaseassociated pathways and network using transcriptome analysis / Lau Ching Yee by Lau , Ching Yee

“…Since complex diseases like AD can be better understood from the perspective of network biology than at the individual gene level, we used NetDecoder, a state-of-the-art network-based transcriptomic analysis algorithm to capture genes that are associated with the differentially expressed genes in a network context. …”
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