Search Results - (( java application sensor algorithm ) OR ( learning interpolation using algorithm ))

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  1. 1
    Study and Implementation of Data Mining in Urban Gardening

    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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  2. 2
    Design Of Robot Motion Planning Algorithm For Wall Following Robot

    Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

    Published 2006
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    Monograph
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  3. 3
    A review of wave-net identical learning & filling-in in a decomposition space of (JPG-JPEG) sampled images

    A review of wave-net identical learning & filling-in in a decomposition space of (JPG-JPEG) sampled images by Al-Azzawi, Alaa Khamees, Saripan, M. Iqbal, Jantan, Adznan, O. K. Rahmat, Rahmita Wirza

    Published 2010
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  4. 4
    Human activity recognition via accelerometer and gyro sensors

    Human activity recognition via accelerometer and gyro sensors by Tee, Jia Lin

    Published 2023
    “…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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    Final Year Project / Dissertation / Thesis
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  5. 5
    Mortality Trends and Its Impact on the Pension Liabilities

    Mortality Trends and Its Impact on the Pension Liabilities by Rose Irnawaty Ibrahim

    Published 2025
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  6. 6
    Prediction of rice biomass using machine learning algorithms

    Prediction of rice biomass using machine learning algorithms by Radhwane, Derraz

    Published 2022
    “…Unmanned aerial vehicles (UAVs) may address these issues. Machine learning algorithms (MLs) can predict rice biomass from UAV-based vegetation indices (VIs). …”
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    Thesis
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  7. 7
    Adaptive GRNN for the modelling of dynamic plants

    Adaptive GRNN for the modelling of dynamic plants by Yusof, Rubiyah, Khalid, Marzuki, Teo, Lian Seng

    Published 2002
    “…These adaptation strategies are formulated based on the inherent advantageous features found in GRNN, such as highly localised pattern nodes, good interpolation capability, instantaneous learning, etc.. …”
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    Conference or Workshop Item
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  8. 8
    Brain Topographic Mapping of Emotions using Computational Cerebellum

    Brain Topographic Mapping of Emotions using Computational Cerebellum by Yaacob, Hamwira Sakti, Kamaruddin, Norhaslinda, Abdul Rahman, Abdul Wahab

    Published 2013
    “…Such approach employs Cerebellar Model Articulation Controller (CMAC) machine learning algorithm to interpolate and visualize the distribution of activated region during cognitive activities as captured at the scalp. …”
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    Proceeding Paper
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  9. 9
    Cause and effect prediction in manufacturing process using an improved neural networks

    Cause and effect prediction in manufacturing process using an improved neural networks by Mohd Nawi, Nazri, Abdul Hamid, Noorhamreeza, Samsudin, Noor Azah, Harun, Zawati, Ab Aziz, Mohd Firdaus, Ramli, Azizul Azhar

    Published 2017
    “…A new approach to enhance the performance of the current Knowledge Hyper-surface method has been proposed by constructing midpoints between each primary weight along each dimension by using a quadratic Lagrange interpolation polynomial. …”
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  10. 10
    Ensemble learning using multi-objective optimisation for arabic handwritten words

    Ensemble learning using multi-objective optimisation for arabic handwritten words by Ghadhban, Haitham Qutaiba

    Published 2021
    “…In this thesis, new type of feature for handwriting using Segments Interpolation (SI) to find the best fitting line in each of the windows with a model for finding the best operating point window size for SI features. …”
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  11. 11
    Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour

    Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour by Neyamadpour, Ahmad

    Published 2010
    “…In addition, an interpolation and extrapolation properties of the neural network have been studied using another 24 synthetic datasets generated for each array. …”
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    Thesis
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  12. 12
    Kaedah Kolorimetri untuk Analisis Kuantitatif Kapsaisin Secara Pencaman Corak Menggunakan Jaringan Neural Tiruan

    Kaedah Kolorimetri untuk Analisis Kuantitatif Kapsaisin Secara Pencaman Corak Menggunakan Jaringan Neural Tiruan by Mat Arip, Mohamad Nasir, Ahmad, Musa, Mokhtar, Ahmed Mahir, Taib, Mohd. Nasir, Heng, Lee Yook

    Published 2002
    “…A three layer feed-forward neural network was used and network training was performed by using back propagation algorithm. …”
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  13. 13
    Malware Detection using Deep Learning (DL)

    Malware Detection using Deep Learning (DL) by Chowdhury Sajadul Islam, Madihah Mohd Saudi, Nur Hafiza Zakaria, Muji Setiyo

    Published 2024
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  14. 14
    Design & Development of a Robotic System Using LEGO Mindstorm

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

    Published 2006
    “…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. 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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  15. 15
    ReSTiNet : On improving the performance of Tiny-YOLO-Based CNN architecture for applications in human detection

    ReSTiNet : On improving the performance of Tiny-YOLO-Based CNN architecture for applications in human detection by Sumit, Shahriar Shakir, Awang Rambli, Dayang Rohaya, Mirjalili, Seyedali, Ejaz, Muhammad Mudassir, Miah, Md Saef Ullah

    Published 2022
    “…The proposed model was trained and tested using MS COCO and Pascal VOC datasets. The resulting ReSTiNet model is 10.7 MB in size (almost five times smaller than Tiny-YOLO), but it achieves an mAP of 63.74% on PASCAL VOC and 27.3% on MS COCO datasets using Tesla k80 GPU.…”
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