Search Results - (( model evaluation tool algorithm ) OR ( based instruction system algorithm ))*

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  1. 1

    Research on College Students' Classroom Learning Based on Informatization to Promote English Education System in China by Yanyun Huang, Suyansah Swanto

    Published 2023
    “…Following the preprocessing of the dataset with the Hidden Markov Model (HMM) Stemming Algorithm and the application of information technology with the Radial Basis Coherent Deep Neural Network (RBCDNN), the dataset is evaluated for statistical significance with the Panel Unit Test and the Housman test. …”
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    Article
  2. 2

    Measuring aircraft altimetry system error using automatic dependent surveillance-broadcast data / Kalyani Bahskaran by Kalyani , Bahskaran

    Published 2021
    “…Subsequently, a computer algorithm and interfacing tool is developed. The tool enables any personal with basic computer literacy and access to the tool and data file to process the data and asses the HKP of the flight at ease. …”
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    Thesis
  3. 3

    Design of DNA sequence alignment accelerated system using 2-dimensional array and custom instruction on FPGA / Nur Dalilah Ahmad Sabri by Ahmad Sabri, Nur Dalilah

    Published 2018
    “…Thus, this research concentrates on the optimization techniques based on Custom Instruction (CI) and Rectangular Dimensional array (2D) that proposed on Smith-Waterman (SW) algorithm. …”
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    Thesis
  4. 4

    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…The tool is used to evaluate the accuracy of the proposed extraction algorithm to extract the appropriate information which are needed. …”
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    Thesis
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    Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool by Samuel Simbine, Augusto

    Published 2019
    “…This final year project identified relevant parameters through literature research, analysis and expert interview, and evaluated different machine learning algorithms and identified linear regression as the most applicable and efficient with its R-square of 0.8015, qualifying it to be used for the development of a hybrid model for the AI-based tool for predictive process optimization for chemical plants.…”
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    Final Year Project
  7. 7

    A survey of simulators, emulatots and testbeds for Wireless Sensor Network by Muhammad, Imran, Md Said, Abas, Hasbullah, Halabi

    Published 2010
    “…Simulators, emulators and testbeds are invaluable tools for performance evaluation of algorithms and protocols in wireless sensor networks (WSNs). …”
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    Conference or Workshop Item
  8. 8

    Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension by Affandy

    Published 2015
    “…This model is then to be used in the prototype tool development that is called 3De-ALPROV (Design Development Debug – Algorithm Program Visualization). …”
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    Thesis
  9. 9

    Laptop price prediction using decision tree algorithm / Nurnazifah Abd Mokti by Abd Mokti, Nurnazifah

    Published 2024
    “…This research project focuses on developing a laptop price prediction model using the decision tree algorithm based on laptop specifications. …”
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    Thesis
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    Development Of Performance Evaluation And Prediction Models In Logistics Service And Supply Networks Towards A Sustainable And Robust Supply Chain by Jomthanachai, Suriyan

    Published 2022
    “…And to utilize the models as tools and metrics for evaluating and predicting supply chain performance.…”
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    Thesis
  13. 13

    The framework of inventory prediction model using ABC analysis for inventory management / Umi Safierah Masdiki and Rozita Kadar by Masdiki, Umi Safierah, Kadar, Rozita

    Published 2024
    “…Confusion Matrix is used in evaluating the model. The RapidMiner tool is used to develop the predictive model, while the dashboard is developed using the Power BI tool. …”
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    Article
  14. 14

    Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer by Tuerxun, Adilijiang

    Published 2017
    “…Furthermore, the Lazy-IBK algorithm have been validated to produce the best classifier model, with the machine learning algorithm performance of 65.26%, recall of 65.3%, and 65.4% F-measured as compared to other evaluated machine learning classifier algorithms proposed within the WEKA data mining algorithm. …”
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    Thesis
  15. 15

    A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS by DELLON, NELSON BRUNNIE

    Published 2023
    “…Teachers will be able to precisely forecast their students' impending grades utilizing the system's web-based application integration and machine learning algorithms. …”
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    Final Year Project Report / IMRAD
  16. 16

    Incorporating the range-based method into GridSim for modeling task and resource heterogeneity by Eng, Kailun, Muhammed, Abdullah, Mohamed, Mohamad Afendee, Hasan, Sazlinah

    Published 2017
    “…GridSim simulator has become a very popular simulation tool and has been widely used by Grid researchers to test and evaluate the performance of their proposed scheduling algorithms. …”
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    Article
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    Modeling And Control Of V-Groove Rotary Impact Driver by Leong, Chi Hoe

    Published 2020
    “…A state-flow control algorithm is developed on the model to improve the mentioned shortfalls. …”
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    Thesis
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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
    “…Several performance comparison with other conventional model checking tools also will be conducted to evaluate its computational efficiency. …”
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    Technical Report
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    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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    Thesis