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  1. 1
    Comparison of supervised classification technique of landuse map using high resolution image / Muhammad Firdaus Mohammad Harun

    Comparison of supervised classification technique of landuse map using high resolution image / Muhammad Firdaus Mohammad Harun by Mohammad Harun, Muhammad Firdaus

    Published 2019
    “…The algorithm were used to perform the supervised classification. …”
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    Thesis
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  2. 2
    Classification of tropical rainforest using different classification algorithm based on remote sensing imagery: A study of Gunung Basor

    Classification of tropical rainforest using different classification algorithm based on remote sensing imagery: A study of Gunung Basor by Intan Noradybah Md Rodi

    Published 2019
    “…Remote sensing technologies are used globally to derive some of crucial spatial variable parameter such as vegetation cover. …”
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    Undergraduate Final Project Report
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  3. 3
    Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi

    Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi by Saleh Al-Shalabi, Abdullah

    Published 2014
    “…The third demonstrated algorithm is a power aware k-coverage algorithm for WSNs with adjustable sensing range. …”
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  4. 4
    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms

    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

    Published 2005
    “…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
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  5. 5
    SVD-based signal detector for cognitive radio networks

    SVD-based signal detector for cognitive radio networks by Omar, Mohd. Hasbullah, Hassan, Suhaidi, Amphawan, Angela, Awang Nor, Shahrudin

    Published 2011
    “…This paper examines the implementation of the Singular Value Decomposition (SVD) method to detect the presence of wireless signal.The method is used to find the maximum and minimum eigenvalues.We simulated the algorithm using common digital signal in wireless communication namely rectangular pulse shape, raised cosine and root-raised cosine to test the performance of the signal detector.The SVD-based signal detector was found to be more efficient in sensing signal without knowing the properties of the transmitted signal.The execution time is acceptable compared to the favorable energy detection.The computational complexity of SVD-based detector is medium compared to the energy detector.The algorithm is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown. …”
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    Conference or Workshop Item
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  6. 6
    Development of Sense and Avoid system based on multi sensor integration for unmanned vehicle system

    Development of Sense and Avoid system based on multi sensor integration for unmanned vehicle system by Legowo, Ari, Ramli, M. Faiz, Syafiq Shamsudin, Syariful

    Published 2016
    “…This avoidance system is known as a Sense and avoidance (SAA) system. The purpose of the system is to detect any obstacles either in static or moving condition and respond with proper avoidance maneuvers in order to maintain minimum separation distances. …”
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    Proceeding Paper
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  7. 7
    A Modified Hopfield Neural Network Algorithm (MHNNA) Using ALOS Image for Water Quality Mapping

    A Modified Hopfield Neural Network Algorithm (MHNNA) Using ALOS Image for Water Quality Mapping by Ahmed Asal Kzar, Ahmed Asal Kzar, M Jafri, Mohd Zubir, Mutter, Kussay N., Anwar, Saumi Syahreza

    Published 2016
    “…In this work, a Modified Hopfield Neural Network Algorithm (MHNNA) was used with remote sensing imagery to classify the total suspended solids (TSS) concentrations in the waters of coastal Langkawi Island, Malaysia. …”
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    Article
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  8. 8
    CYCLOSTATIONARY FEATURES BASED LOW COMPLEXITY MUTLIRESOLUTION SPECTRUM SENSING FOR COGNITVE RADIO APPLICATIONS

    CYCLOSTATIONARY FEATURES BASED LOW COMPLEXITY MUTLIRESOLUTION SPECTRUM SENSING FOR COGNITVE RADIO APPLICATIONS by Adoum, Bakhit Amine Adoum

    Published 2011
    “…However, the basic idea is the same - the total bandwidth is sensed using coarse resolution energy detection, then, fine sensing is applied to the portion of interest. …”
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  9. 9
    Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity

    Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity by Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran, Mohamed, Raihani

    Published 2018
    “…Consequently, this paper proposes a ranking self-adaptive differential evolution (rsaDE) feature selection algorithm. The proposed algorithm is capable of selecting the optimal feature subsets while improving the recognition of acceleration activity using a minimum number of features. …”
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  10. 10
    A smart spectrum access technique for dynamic multi-hop routing in cognitive radio-based disaster response networks

    A smart spectrum access technique for dynamic multi-hop routing in cognitive radio-based disaster response networks by Khaled F. I, Alaqad

    Published 2022
    “…The efficient spectrum sensing is performed by deploying Smart Spectrum Agents (SSAs) and the sensing is carried out using Enhanced Bayesian Compressive Sensing (EBayesCS). …”
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  11. 11
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  12. 12
    Cluster-based spectrum sensing scheme in heterogeneous network

    Cluster-based spectrum sensing scheme in heterogeneous network by Hasan, Mohammad Kamrul, Ismail, Ahmad Fadzil, Hassan Abdalla Hashim, Aisha, Mohd. Ramli, Huda Adibah, Hashim, Wahidah, Islam, Shayla, Badron, Khairayu

    Published 2014
    “…Therefore, this paper focuses on unused spectrum sensing (SS) through proposing cluster-based spectrum sensing for OFDM based two-tier HetNets. …”
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    Proceeding Paper
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  13. 13
    Cluster-based spectrum sensing scheme in heterogeneous network

    Cluster-based spectrum sensing scheme in heterogeneous network by Hasan, Mohammad Kamrul, Ismail, Ahmad Fadzil, Mohd. Ramli, Huda Adibah, Hassan Abdalla Hashim, Aisha, Islam, Shayla, Hashim, Wahidah, Badron, Khairayu

    Published 2015
    “…Therefore, this paper focuses on unused spectrum sensing (SS) through proposing cluster-based spectrum sensing for OFDM based two-tier HetNets. …”
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    Book Chapter
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  14. 14
    Cluster-based spectrum sensing scheme in heterogeneous network

    Cluster-based spectrum sensing scheme in heterogeneous network by Hasan M.K., Ismail A.F., Abdalla A.-H., Ramli H.A.M., Islam S., Hashim W., Badron K.

    Published 2023
    Conference Paper
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  15. 15
    Embedded Ethernet System For Real-Time Communication

    Embedded Ethernet System For Real-Time Communication by Thiagarajan, Durgesh

    Published 2018
    “…The Ethernet network model is used to analyze the performance of the backoff algorithm in a different number of nodes. …”
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    Monograph
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  16. 16
    Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network

    Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network by Ismail Abdullah, Kalid Abdlkader Marsal

    Published 2024
    journal::journal article
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  17. 17
    Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi

    Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi by Saleh Al-Shalabi, Ahmed Abdullah

    Published 2014
    “…An efficient k-coverage algorithm for sensors with fixed sensing range (Maximum Layers Scheduling algorithm - MLS) is demonstrated. …”
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    Book Section
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  18. 18
    Energy efficiency mechanism using mobile-based fermat's spiral in wireless sensor networks

    Energy efficiency mechanism using mobile-based fermat's spiral in wireless sensor networks by Mantoro, Teddy, Shaukat Ali, Haroon, Ayu, Media Anugerah, Usino, Wendi

    Published 2011
    “…We evaluated the performance of wireless sensor network using minimum spanning tree algorithm specifically Prim’s Algorithm in order to know the bottleneck effect on wireless sensor network and propose a better solution performance based on Fermat Spiral model. …”
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    Proceeding Paper
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  19. 19
    Geomorphometric analysis of landform pattern using topographic position and ASTER GDEM

    Geomorphometric analysis of landform pattern using topographic position and ASTER GDEM by Lay, Usman Salihu, Jibrin, Gambo, Tijani, Ibrahim, Pradhan, Biswajeet

    Published 2017
    “…Geographic Information System (GIS) and remote sensing techniques are capable of generating automated landform classes using Topographic Position Index techniques (TPI). …”
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  20. 20
    A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection

    A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection by Selamat, Nur Asmiza, Md. Ali, Sawal Hamid, Minhad, Khairun Nisa’, Ahmad, Siti Anom, Sampe, Jahariah

    Published 2022
    “…This article uses a proximity sensor to perform noncontact-based (sensing) chewing activity detection, capturing the temporalis muscle movement during food intake. …”
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    Article
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