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  1. 1
    Investigation of block matching algorithm for video coding

    Investigation of block matching algorithm for video coding by Faizul Hadi Mohamad Jamil

    Published 2013
    “…The Spatial model exploits the redundancy in a single video frame (I frame) while the temporal model exploits the redundancy among frames (P frame). …”
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  2. 2
    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 system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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  3. 3
    A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model

    A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model by Ouwabunmi, Babalola AbdulHafeez

    Published 2025
    “…This study presents the development and evaluation of a novel hybrid machine learning algorithm that integrates the strengths of Random Forest and Gradient Boosting models to enhance the prediction of smORFs. …”
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  4. 4
    Development of finite element model for soil-structure interaction

    Development of finite element model for soil-structure interaction by Shoaei, Mohammad Dalili

    Published 2014
    “…The developed system, discussed above, includes an ANN algorithm to predict ultimate bearing capacity of two-layer soil and a finite element model (2DSSI) for analysis of interaction between soil and framed structures through utilization of the developed interface element along with all included aspects of SSI. …”
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  5. 5
    An enhanced adaptive grey verhulst prediction model for network security situation

    An enhanced adaptive grey verhulst prediction model for network security situation by Leau, Yu Beng, Selvakumar Manickam

    Published 2016
    “…The proposed model applied Kalman Filtering algorithm to predict the residual in the next time-frame and closer the deviation between the predicted and actual network security situation. …”
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  6. 6
    Adaptive model predictive control based on wavelet network and online sequential extreme learning machine for nonlinear systems

    Adaptive model predictive control based on wavelet network and online sequential extreme learning machine for nonlinear systems by Salih, Dhiadeen Mohammed

    Published 2015
    “…On the other hand, an adaptive model predictive controller (WNMPC) based on LWN-OSELM modelling method is proposed for nonlinear system control applications. …”
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  7. 7
    An adaptive block-based matching algorithm for crowd motion sequences

    An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

    Published 2018
    “…The proposed algorithm is based on block-based matching, particle advection, and social force model. …”
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  8. 8
    An adaptive block-based matching algorithm for crowd motion sequences

    An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

    Published 2018
    “…The proposed algorithm is based on block-based matching, particle advection, and social force model. …”
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  9. 9
    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC

    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC by ABDELRAHMAN ELAMIN, ABDELRAHMAN ELAMIN

    Published 2011
    “…Due to the limitation of compensation method, the predicted frame, or the side information, is expected to have varying degrees of success. …”
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  10. 10
    Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud

    Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud by Shariff, S. Sarifah Radiah, Hud, Hady

    Published 2023
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  11. 11
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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  12. 12
    Two level aggregation scheme with optimization in subframes headers for IEEE 802.11n wireless networks

    Two level aggregation scheme with optimization in subframes headers for IEEE 802.11n wireless networks by Noma, Adamu Muhammad

    Published 2014
    “…Furthermore, a new two-level aggregation model is developed by integrating the eA-MSDU into A-MPDU and designing suitable operating algorithm. …”
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  13. 13
    Bio-signal identification using simple growing RBF-network (OLACA)

    Bio-signal identification using simple growing RBF-network (OLACA) by Asirvadam , Vijanth Sagayan, McLoone, Sean, Palaniappan, R

    Published 2007
    “…The main goal of this paper is to develop a simple back-propagation based (SBP) resource allocation network (RAN), or also known as sequential learning technique using Radial Basis Function by incorporating Gaussian kernel, in order to identify (model) EEG and ECG signals. Simulation results show the modeled data show good representation of the original signals with less prediction error.…”
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  14. 14
    A Reinforcement Learning Based Adaptive ROI Generation for Video Object Segmentation

    A Reinforcement Learning Based Adaptive ROI Generation for Video Object Segmentation by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…Our approach encodes the important information during the segmentation phase by a simultaneous process of various reference frames that are subsequently utilized to predict the persistent and conspicuous objects in the foreground. …”
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  15. 15
    A vision-based deep learning approach for non-contact vibration measurement using (2+1)D CNN and optical flow

    A vision-based deep learning approach for non-contact vibration measurement using (2+1)D CNN and optical flow by Harold Harrison, Mazlina Mamat, Farah Wong, Hoe Tung Yew, Racheal Lim, Wan Mimi Diyana Wan Zaki

    Published 2025
    “…The proposed model achieved an average Mean Absolute Percentage Error (MAPE) of 7.51 %, with acceleration predictions exhibiting the lowest error at 4.84 % and displacement the highest at 8.80 % across varying brightness levels and object-camera distances. …”
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  16. 16
    An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics

    An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics by Ahmed, Hisham Ahmed Ali

    Published 2016
    “…Furthermore, with semiconductor technology scaling, increased power dissipation is expected; whereas, the battery capacity is not expected to increase significantly. A Performance model for Zynq is developed using analytical method and used in hardware/software codesign to facilitate algorithms mapping to hardware. …”
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  17. 17
    Rockfall hazard assessment based on airborne laser scanning data and GIS in tropical region

    Rockfall hazard assessment based on airborne laser scanning data and GIS in tropical region by Fanos, Ali Mutar

    Published 2016
    “…Kinematic algorithms allow rockfall modelling in different motion modes in a 3D frame. …”
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  18. 18
    Human detection and tracking with YOLO and SORT tracking algorithm

    Human detection and tracking with YOLO and SORT tracking algorithm by Kader, Tanveer, Ahmad Fakhri, Ab Nasir, Muhammad Zulfahmi, Toh Abdullah@ Toh Chin Lai, Muhammad Nur Aiman, Shapiee, Amir Fakarullsroq, Abdul Razak

    Published 2025
    “…A unique annotation process was performed that reduced the annotation labour by almost 80% which was a combination of manual annotation and prediction from pretrained models. Different sizes of You Only Look Once (YOLO) detection model (n/s/m) were trained using the train dataset focusing on humans and coupled with two most popular tracking algorithms Simple Online Realtime Tracking (SORT) and DeepSORT. …”
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  19. 19
    Enhanced mechanism to handle missing data of Hadith classifier

    Enhanced mechanism to handle missing data of Hadith classifier by Aldhlan, Kawther A., Zeki, Ahmed M., Zeki, Akram M.

    Published 2011
    “…Tree structured modeling is a data mining technique used to recursively partition a data set into relatively homogeneous subgroups in order to make more accurate predictions on the future instances. …”
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    Proceeding Paper
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  20. 20
    Application of Univariate Model and Box- Jenkin Techniques in forecasting stock price of Dutch Lady Milk Industries / Alia Nurain Mohd Bahari, Atikah Nurfarahana Rusahizam and Farah Athirah Hanizaam

    Application of Univariate Model and Box- Jenkin Techniques in forecasting stock price of Dutch Lady Milk Industries / Alia Nurain Mohd Bahari, Atikah Nurfarahana Rusahizam and Fara... by Mohd Bahari, Alia Nurain, Rusahizam, Atikah Nurfarahana, Hanizaam, Farah Athirah

    “…Therefore, if an effective algorithm could be developed to predict the short-term price of a single stock, there would be more opportunities to invest and launch a business in the stock market. …”
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