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  1. 1
    DISTRIBUTIVE AND SELF-SUSTAINABLE SCHEDULING ALGORITHMS FOR WIRELESS SENSOR NETWORKS

    DISTRIBUTIVE AND SELF-SUSTAINABLE SCHEDULING ALGORITHMS FOR WIRELESS SENSOR NETWORKS by SHEIKH, MUHAMMAD AMAN

    Published 2014
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  2. 2
    An energy efficient simultaneous-node repositioning algorithm for mobile sensor networks

    An energy efficient simultaneous-node repositioning algorithm for mobile sensor networks by Khan, M.A., Hasbullah, H., Nazir, B., Khan, I.A.

    Published 2014
    “…Recently, wireless sensor network (WSN) applications have seen an increase in interest. …”
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  3. 3
    Machine learning in botda fibre sensor for distributed temperature measurement

    Machine learning in botda fibre sensor for distributed temperature measurement by Nur Dalilla binti Nordin

    Published 2023
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  4. 4
    Dynamic area coverage algorithms for static and mobile wireless sensor network environments using voronoi techniques

    Dynamic area coverage algorithms for static and mobile wireless sensor network environments using voronoi techniques by Ceesay, Omar M.

    Published 2011
    “…In recent years, Wireless Sensor Networks (WSNs) have gained significant research attention due to their prospects in various applications. …”
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  5. 5
    Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks

    Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks by Abualsaud, Khalid, Mahmuddin, Massudi, Saleh, Mohammad, Mohamed, Amr

    Published 2014
    “…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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  6. 6
    Simulation and Design of an Intelligent Mobile Robot for Fire Fighting

    Simulation and Design of an Intelligent Mobile Robot for Fire Fighting by Chor, Keong Seng

    Published 2003
    “…A method of Path Recognition Algorithms (PRA) providing robots the autonomous ability to judge purpose of action likes human base on the input sensors from the environment. …”
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  7. 7
    Energy Efficient Multi Hierarchy Clustering Protocol for Wireless Sensor Network (EMHC)

    Energy Efficient Multi Hierarchy Clustering Protocol for Wireless Sensor Network (EMHC) by Nazir, Babar, Hasbullah, Halabi

    Published 2010
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  8. 8
    Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO)

    Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO) by Nurul Adilah Abdul Latiff

    Published 2012
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  9. 9
    Optimization Method Using Modified Harmony Search For Coverage And Energy Efficiency In Wireless Sensor Network

    Optimization Method Using Modified Harmony Search For Coverage And Energy Efficiency In Wireless Sensor Network by Halim, Nurul Hamimi

    Published 2018
    “…Coverage and energy efficiency metrics are two fundamental issues for almost all types of application in wireless sensor network (WSNs).Coverage reflects how well an area is monitored by sensor nodes and in energy efficient networks where less energy is consumed to provide the same level of services.These twin specifics are presented to evaluate the performance of a wireless sensor network.Due to its simplicity and ease of analysis,full coverage is widely implemented in many theoretical studies.However,sometimes full coverage is not the best way to represent some real-world application due to its strong restrictions and its deterministic characteristics.In this thesis,Modified Harmony Search algorithm (MHS) is proposed to achieve a sensor node deployment such that the covered area is optimal and data transfer has low energy consumption.Through computer simulations, experimental results verified that the proposed method improved the coverage of area in compare to some related methods.Based on the result obtain from every experiments,coverage area percentage performance is affected by the number of hotspots.This is shown by Harmony Search (HS) based method where the coverage area percentage increases as the number of hotspot increase. …”
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  10. 10
    Data redundancy reduction scheme for data aggregation in wireless sensor network

    Data redundancy reduction scheme for data aggregation in wireless sensor network by Adawy, Mohammad Ibrahim

    Published 2020
    “…Wireless Sensor Network (WSN) is a set of sensor nodes that are densely and randomly deployed where the sensor nodes are not situated faraway from each other. …”
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  11. 11
    Proactive Traffic-Adaptive Tuning of Contention Window for Wireless Sensor Network Medium-Access Control Protocol

    Proactive Traffic-Adaptive Tuning of Contention Window for Wireless Sensor Network Medium-Access Control Protocol by Pirborj, Nesae Mouzehkesh

    Published 2009
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  12. 12
    MOBILE ROBOT

    MOBILE ROBOT by ABU KASSIM, ABU MASNUR

    Published 2004
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  13. 13
    Simulated Kalman Filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem

    Simulated Kalman Filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem by Suhazri Amrin, Rahmad, Zuwairie, Ibrahim, Zulkifli, Md. Yusof

    Published 2022
    “…We reviewed 57 SKF papers. 16 of them on fundamental improvements, 9 on extension of the algorithm to discrete problems and 25 on their applications. …”
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  14. 14
    Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks

    Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks by Saleh, Ahmed Mohammed Shamsan

    Published 2012
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  15. 15
    Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm

    Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm by Anwar Apandi, Nur Ilyana, Hawari, Mohd Zarifitri Kasim

    Published 2021
    “…A manufacturing fifth-generation (5G) mobile robot is a new development of industry 4.0 application, deploying an unmanned system. This study aims to implement a robot system for industrial applications in real-time with remote sensors to enable humans. …”
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  16. 16
    Multi-training sensor networks with bipartite conflict graphs

    Multi-training sensor networks with bipartite conflict graphs by Ishak, Ruzana, Olariu, Stephan, Salleh, Shahruddin

    Published 2006
    “…This task is referred to as training and its responsibility lies with the AFNs. However, due to the random deployment, some of the sensors fall under the coverage area of several AFNs, in which case the goal is for these sensors to acquire location information relative to all the covering AFNs. …”
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  17. 17
    Class binarization with self-adaptive algorithm to improve human activity recognition

    Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

    Published 2018
    “…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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  18. 18
    HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM

    HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM by LO , TIMOTHY YIN HONG

    Published 2019
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  19. 19
    An Evolutionary Stream Clustering Technique for Outlier Detection

    An Evolutionary Stream Clustering Technique for Outlier Detection by Supardi, N.A., Abdulkadir, S.J., Aziz, N.

    Published 2020
    “…Most of the traditional density-based clustering is not applicable in data streams due to its own characteristics. …”
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  20. 20
    High-throughput and energy-efficient Contiki MAC layer scheme in IEEE 802.15.4 for structural health monitoring

    High-throughput and energy-efficient Contiki MAC layer scheme in IEEE 802.15.4 for structural health monitoring by Al-Mekhlafi, Mohamed Abdulkarem Taher

    Published 2021
    “…Simulation and experiments are performed to validate the design concept of LTDMA scheme and evaluate the sensor node's throughput, power consumption and the efficiency of the proposed embedded algorithms for SHM applications. …”
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