Search Results - (( java application sensor algorithm ) OR ( model verification based algorithm ))

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    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…Ultimately, the algorithm development program designed earlier is linked up directly to the robotic model for program implementation and verification. …”
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    Conference or Workshop Item
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    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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    Article
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    Offline signature verification system using hidden markov model (HMM) analysis of varying number of states and state transition topology by Bakri N.B., Ahmad S.M.S., Shakil A.

    Published 2023
    “…This paper describes the design and development of an offline signature verification system that is based on Hidden Markov Modeling (HMM) technique performed on a series of a localized direction feature extracted from a scanned signature image. …”
    Article
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    A Novel Approach Of Groebner Bases Computation For Safety Analysis Of Distributed Discrete Controllers by Alwi @ Suhaimi, Saifulza, Salleh, Mohd Rizal, Jaafar, Hazriq Izzuan, Ab Ghani, Mohd Ruddin, Md Fauadi, Muhammad Hafidz Fazli

    Published 2019
    “…This research also proposes the improvement of mean time to failure (MTTF) by using the new model checking method. At the end of this research, a complete tool of model checking method based on Groebner bases algorithm for safety verification will be produced. …”
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    Technical Report
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    Active intelligent control of vibration of flexible plate structures by Md Salleh, Salihatun

    Published 2011
    “…However, the non-model based AVC algorithms are faster than their model-based AVC counterparts.…”
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    Thesis
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    A self-adaptive agent-based simulation modelling framework for dynamic processes by Ling, Loo Yim, Dr.

    Published 2023
    “…Lack of validation and verification of ABS model and results against broader dataset or domains, led to non-robust and unreliable simulation model and results. …”
    text::Thesis
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    Efficient ML technique in blockchain-based solution in carbon credit for mitigating greenwashing by Raja Segaran, Bama, Mohd Rum, Siti Nurulain, Hafez Ninggal, Mohd Izuan, Mohd Aris, Teh Noranis

    Published 2025
    “…However, while blockchain ensures transparency, it lacks real-time anomaly detection capabilities. ML algorithms, particularly supervised models such as Random Forest, XGBoost, and Neural Networks, are well-suited for detecting fraudulent patterns and verifying the authenticity of forest carbon credit transactions. …”
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    Article
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    Development of biosignals-based multimodal biometric system by Osamah Sadeq Alhamdani

    Published 2014
    “…Heart Sound Verification (HSV) provides an average equal error rate (EER) of 13.8% while the average EER for the Speaker Verification model (SV) is 2.1 %. …”
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    Thesis
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    Development of android application for peninsular Malaysia GEOID height calculator / Mohamad Nazir Md Nazri by Md Nazri, Mohamad Nazir

    Published 2021
    “…The development of an android application is done and provided with three calculation method which is an absolute method, relative method and finding suitable geoid model method. There is also an analysis that been done which is the verification of the algorithm in the developed application and the comparison between a different interpolation method. …”
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    Thesis
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    An automatic grading model for semantic complexity of english texts using bidirectional attention-based autoencoder by Chen, Ruo Han, Ng, Boon Sim, Paramasivam, Shamala, Ren, Li

    Published 2024
    “…Finally, A Bidirectional Attention Self-Encoding English Text Semantic Complexity Automatic Grading Model (BSETG) is established. This study conducted experimental verification based on semantic Evaluation (SemEval) dataset, convolutional neural network (CNN)/Daily Mail dataset and Penn Treebank dataset, and conducted a comparative analysis with existing semantic complexity evaluation methods. …”
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    Article
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