Search Results - (( developing novel conversion algorithm ) OR ( java implication based algorithm ))

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  1. 1

    Embodied conversational agents for H5N1 pandemic crisis by Goh, Ong Sing, Fung, Chun Che, Wong, Kok Wai, Depickere, Arnold

    Published 2007
    “…A Crisis Communication Network, called CCNet, is established based on a novel algorithm incorporating natural language query and embodied conversation agent simultaneously. …”
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    Article
  2. 2

    Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score by Mirza Rizwan, Sajid

    Published 2021
    “…However, the conversion of a complex form of ML algorithms into a simple statistical model is the prime concern. …”
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    Thesis
  3. 3

    Revealing the full potential of CsPbIBr2 perovskite solar cells: advancements towards enhanced performance by Hossain M.I., Shahiduzzaman M., Rafij J.H., Tamang A., Akhtaruzzaman M., Hamad A., Uddin J., Amin N., Nunzi J.-M., Taima T.

    Published 2025
    “…However, they still face significant challenges due to their poor photovoltaic performance parameters, which limit the devices' power conversion efficiencies (PCEs). This study proposes a novel device design to tailor the potential of CsPbIBr2 PSCs by improving their optoelectronic properties. …”
    Article
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    Voice-Assisted News App using Natural Language Processing by Suhail, Ahmed Khan, Chitra, K.E., Wan Nor Al-Ashekin, Wan Husin

    Published 2024
    “…The app's speech interface allows users to navigate across different news categories. The NLP algorithms developed by Alan AI offer precise understanding of user demands by ensuring smooth interaction and an authentic conversational experience.…”
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    Article
  7. 7

    Face recognition for varying illumination and different optical zoom using a combination of binary and geometric features by Khalid, Fatimah, Amjeed, Noor, O.K. Wirza, Rahmita Wirza, Madzin, Hizmawati, Azizan, Illiana

    Published 2020
    “…With the proposed method the illumination model will fit with variation of illumination conditions in a whole image to generate an adaptive threshold for a novel columnar binary conversion method. The proposed method consists of five main stages, starting with eye area detection using the developed Viola-Jones algorithm. …”
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    Article
  8. 8

    Analysis of sequence batch reactor for COD and TSS removal identification from septic sludge treatment plant using bio inspired algorithm: a case study in Sarawak by Sie Chun, Ting, Ismail , Amelia Ritahani, Abdul Malik, Marlinda

    Published 2012
    “…In this study, Artificial Immune System (AIS) technique named Clonal Selection Algorithm (CSA) is introduced in the development of a prediction model to forecast the performance of the SSTP. …”
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    Proceeding Paper
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    Design and implementation of a single-phase to three-phase space-vector pwm-based matrix converter system for induction motor drives by Velu, Vengadeshwaran

    Published 2016
    “…A novel approach is adopted by employing the Space Vector Pulse Width modulation algorithm to produce the switching sequences of the bidirectional switches of the single-phase to three-phase Matrix Converter. …”
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    Thesis
  12. 12

    Control of direct multi- input multi-output (MIMO) using single-phase matrix converter (SPMC) topology / Mohd Shukri Mohd Ghazali by Mohd Ghazali, Mohd Shukri

    Published 2023
    “…Using the SPMC, a single circuit can perform energy conversions for DC to AC, DC to DC, AC to DC, and AC to AC operations. …”
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    Thesis
  13. 13

    Blind Source Separation Using Two-Dimensional Nonnegative Matrix Factorization In Biomedical Field by Toh, Cheng Chuan

    Published 2018
    “…Blind Source Separation (BSS) refers to the statistical technique of separating a mixture of underlying source signals.BSS denotes as a phenomena and separation on mixed heart-lung sound is one of its example.The challenge of this research is to separate the separate lung sound and heart sound from mixed heart-lung sound.A clear lung sound for diagnosis purpose able to be obtained after separating the mixed heart-lung sound.In biomedical field,lung information is precious due to it has been provided for respiratory diagnosis.However,the interference of heart sound towards lung sound will generate ambiguity and it will lead to drop down the accuracy of diagnosis.Thus,a clean lung sound is needed to increases the accuracy of diagnosis.One of the ways for non-invasive respiratory diagnosis for obtaining lung information is through extracting lung sound from mixed heart-lung sound by using Two-Dimensional Nonnegative Matrix Factorization (NMF2D) algorithm.This method is based on cocktail party effect in which it refers to human brain able to selectively listen to target among a cacophony of conversations and background noise and this considered as a difficult task to machine.Therefore, duplication on cocktail party effect into machine is used to separate the mixed heart-lung sound.This research presents a novel approach NMF2D algorithm in which a suitable model for signal mixture that accommodated the reverberations and nonlinearity of the signals.The objectives of this research are focusing on investigating the useful signal analysis algorithms,defining a new technique of signal separability,designing and developing novel methods for BSS. …”
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    Thesis
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    Distinguishing Micro-Scale Voltage Disturbances Using Wavelet Decomposition Techniques by Wan, Chen Yoong

    Published 2014
    “…All the modelling and classification processes are performed in MATLAB where wavelet-1D toolbox and MATLAB algorithm are developed and employed. Based on the wavelet decomposition technique, voltage sag and voltage swell disturbances are identified at low frequency bands such as detail coefficients d4 and approximation coefficients a4. …”
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    Final Year Project
  16. 16

    DC-based PV-powered home energy system by Sabry, Ahmad H.

    Published 2017
    “…The efficiency of the current traditional PV-powered system is inversely affected due to the multiple conversion stages that such a system has. Therefore, this work proposes the design and development of a wireless low power consumption prototype energy monitoring system using a novel solar-battery charge controller based on the DC voltage matching concept. …”
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    Thesis
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    Prediction of device performance in SnO2 based inverted organic solar cells using machine learning framework by Aidil Zulkafli, Nadhirah, Elyca Anak Bundak, Caceja, Amiruddin Abd Rahman, Mohd, Chin Yap, Chi, Chong, Kok-Keong, Tee Tan, Sin

    Published 2024
    “…The development of wearable electronic gadgets has spanned the research attention toward the design of flexible and high-performance organic solar cells. …”
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    Article