Search Results - (( developing e vs algorithm ) OR ( java implication based algorithm ))

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    Evaluation of intracerebral haemorrhages surface area using artificial intelligence in computed tomography by Huddin, Azzam Basseri, Huddin, Aqilah Baseri, Tharek, Anas, Wan Zaki, Wan Mimi Diyana, Muda, Ahmad Sobri

    Published 2022
    “…Introduction: AI-based techniques can be used to localize and measure the intracerebral haemorrhage (ICH) in computed tomography (CT). This study aims to develop an automated detection algorithm with higher sensitivity in ICH evaluation in comparison to the conventional method. …”
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    Development of an artisanal fermentation: case studies on Carica papaya leaf and Garcinia Mangostana pericarp / Mohamad Sufian So’aib by So’aib, Mohamad Sufian

    Published 2020
    “…Fermented CPL displayed higher acute toxicity effect (LC50) than fermented GMP i.e. 133.1 μg/mL vs 100.2 μg/mL, respectively. Selected feedforward ANN models with embedded Levenberg-Marquardt algorithm and hyperbolic tangent sigmoid transfer function demonstrated statistical robustness in predicting the process responses. …”
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    Evaluation of arima and ann stream analytics for air quality monitoring system by Nurmadiha, Osman

    Published 2021
    “…Investigation on evaluating senso rs’ accuracy is executed by comparing the collected data by SES vs data from the Department of Environment (DoE). …”
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    Crash Recovery Support For Variable Strength T-Way Test Generation Strategy by Abdullah, Syahrul Afzal Che

    Published 2016
    “…In order to address these issues, this research develops a variable-strength (VS) interaction t-way test generation strategy, called Test Suite Generator with Crash Recovery support (TSGCR). …”
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    A contactless computer vision system for underwater walking and jogging gait analysis using YOLO-pose and Multi-CNN BiLSTM architecture by Cheng, Tong Bao, Khairuddin, Uswah

    Published 2025
    “…Two convolutional bidirectional long short-term memory architectures, i.e., single vs. multiple convolutional layers (CNNs) per pooling were applied and compared in multi-head and single-head regression settings. …”
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