Search Results - (( variable extraction method algorithm ) OR ( initial solution sensor algorithm ))

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  1. 1

    MCRP: multiple chain routing protocol for energy efficiency in homogeneous wireless sensor networks by Kareem, Husam, Hashim, Shaiful Jahari, Sali, Aduwati, Taha, Omer W., Kazim, Issraa J., Shukri, Shaimaa

    Published 2019
    “…There are many solutions that can be used to overcome the energy limitation issue and one of the main solutions is the routing algorithm used in the network. …”
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    Conference or Workshop Item
  2. 2

    Novel algorithms of identifying types of Partial Discharges using electrical and non-contact methods / Mohammad Shukri Hapeez by Hapeez, Mohammad Shukri

    Published 2015
    “…Identifying types of Partial Discharge (PD) is very crucial in order to prepare and provide solutions before complete breakdown occurs. Before PD can be identified, detection of the PD is initially required and it can be made by ultrasonic and electrical methods. …”
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    Book Section
  3. 3

    Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks by Han, Fengrong

    Published 2022
    “…This study developed an optimized variation of the DV-Hop localization algorithm for anisotropic wireless sensor networks. …”
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    Thesis
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    Using artificial intelligence search in solving the camera placement problem by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P.

    Published 2022
    “…The chapter also carries out an analytical review of three main searching algorithms namely, generate and test, uninformed search, and hill climbing search algorithms. …”
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    Book
  6. 6

    Enhancement Of Aodv Routing Protocol In Masnets by Jambli, M.N., Wan Mohd Shuhaimi, W.B., Lenando, H., Abdullah, J., Mohamad Suhaili, S.

    Published 2015
    “…The rapid development of wireless communication technologies and portable mobile devices such as laptops, PDAs, smart phones and wireless sensors brings the best out of mobile computing particularly mobile ad-hoc and sensor networks. …”
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    Proceeding
  7. 7

    Coronary artery stenosis detection and visualization / Tang Sze Ling by Tang, Sze Ling

    Published 2015
    “…The proposed method benchmarked with the state-of-the-art methods and achieved comparable results. …”
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    Thesis
  8. 8

    Network performance optimisation using odd and even dual interleaving routing algorithm for oil and gas pipeline networke by Subramaniam, Siva Kumar, Ikhwan Lee, Mohamad Yusry Lee, Azman, Amierul Syazrul Azril, Feroz, Farah Shahnaz, Rajkumar, Sujatha

    Published 2022
    “…Wireless Sensor Network (WSN) provide promising and resilient solutions in a broad range of industrial applications, especially in the pipeline of oil and gas midstream pipeline. …”
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    Article
  9. 9

    Energy-efficient data transmission with clustering and compressive sensing in wireless sensor networks / Mukil Alagirisamy by Mukil , Alagirisamy

    Published 2020
    “…First objective is to reduce the transmission burden on sensors to attain energy efficiency. The solution is achieved by unequal clustering with appropriate cluster head selection and dual sink. …”
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    Thesis
  10. 10

    Optimizing timber transportation planning for timber harvesting using bees algorithm in Malaysia by Jamaluddin, Jamhuri, Kamarudin, Norizah, Ismail, Mohd Hasmadi, Ahmad, Siti Azfanizam

    Published 2023
    “…A Bees Algorithm (BA) was proposed to find an optimum TTP for timber extraction, forest road, and landing locations with grid cell-sized 10 m × 10 m and attributed with fixed and variable costs. …”
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    Article
  11. 11

    Multi road marking detection system for autonomous car using hybrid- based method by Shah, Khan Bahadur

    Published 2018
    “…Wu dataset that consist of 1208 road images, which were extracted from videos recorded around California, the proposed algorithm performed satisfactorily. …”
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    Thesis
  12. 12

    Novel algorithms of identifying types of partial discharges using electrical and non-contact methods / Mohammad Shukri Hapeez by Hapeez, Mohammad Shukri

    Published 2015
    “…Identifying types of Partial Discharge (PD) is very crucial in order to prepare and provide solutions before complete breakdown occurs. Before PD can be identified, detection of the PD is initially required and it can be made by ultrasonic and electrical methods. …”
    Get full text
    Get full text
    Thesis
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  15. 15

    eVtols : smart air mobility project / Muhammad Faiz Abu Hassan by Abu Hassan, Muhammad Faiz

    Published 2024
    “…The Smart Ocean Mobility Project represents a groundbreaking initiative at the intersection of cutting-edge patrol boat technology and aerial surveillance, driven by artificial intelligence (AI) algorithms. …”
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    Book Section
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    HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC by Jamil, Nur Farahim

    Published 2014
    “…This project proposes a pattern recognition algorithm consisting of statistical methods to extract seven textural features from the HEp-2 cell images followed by classification of staining patterns by using fuzzy logic. …”
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    Final Year Project
  19. 19

    Augmentation of basic-line-search and quick-simplex-method algorithms to enhance linear programming computational performance by Nor Azlan, Nor Asmaa Alyaa

    Published 2021
    “…The methodology starts with literature comprehension studies on the computation pitfalls and existed augmentation studies of Simplex algorithm. Then, followed by concept development which consists of concept extraction, computation stages classification and algorithms integration. …”
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    Thesis
  20. 20

    Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

    Published 2018
    “…In the developed feature selection approach, multi-objective binary-valued backtracking search algorithm (MOBBSA) is used as an efficient evolutionary search algorithm to search within different combinations of input variables and selects the non-dominated feature subsets, which minimize simultaneously both the estimation error and the number of features. …”
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    Thesis