Search Results - (( developing intensive modified algorithm ) OR ( java implication _ algorithm ))
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System identification using Extended Kalman Filter
Published 2017“…System identification is getting more intensive from researcher to develop an algorithm with work efficiently and more accurate. …”
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Student Project -
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Capacity enrichment OCDMA based on algorithm of novel flexible cross correlation (FCC) address code
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Classification of brain tumors: using deep transfer learning
Published 2023“…To achieve the goal, a modified GoogleNet model was used. Various learning algorithms were tested. …”
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Amplitude independent muscle activity detection algorithm of soft robotic glove system for hemiparesis stroke patients using single sEMG channel
Published 2020“…In spite of some algorithms that have been developed in the literature to classify some hand motions by using single channel, the current implementation of soft robotic glove systems are still employing two channels for detecting the closing and opening movements of the hand, due to the intensive calculations required by these algorithms which impose difficulties on real time implementation. …”
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Thesis -
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A preliminary lightweight random forest approach-based image classification for plant disease detection
Published 2022“…However, achieving high accuracy requires a computationally intensive approach to the system, which can cause overhead and high technical costs. …”
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Conference or Workshop Item -
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An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis
Published 2021“…This paper formulated an improved pitch contour algorithm to develop a modified pitch contour resembling the natural pitch contour. …”
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Development and testing of open-jet wind tunnel for quadrotor flight testing
Published 2019“…Various types of control algorithm have been developed to increase the performance of the quadrotor under such wind conditions. …”
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Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…We modified the classical bootstrapping algorithm by developing a mechanism based on the robust LTS method to detect the correct number of outliers in the each bootstrap sample. …”
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Detection And Segmentation Of Mass Region In Mammogram Image
Published 2014“…Initially, the Mean Median Intersection Point (MMIP) algorithm is proposed to obtain a point in the intensity histogram to be set as threshold value to segment the breast region and distinguish it from the background in the mammogram image. …”
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Development of new code for optical code division multiple access systems
Published 2011“…Secondly, a new detection technique based on spectral direct detection is developed and compared to the reported detection techniques. …”
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Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules
Published 2023“…The accuracy value shows that the KNN algorithm is better when compared to the Naïve Bayes algorithm. …”
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A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis
Published 2025“…To address this, we propose an efficient, modified radiomics feature processing method that integrates an optimal aerial perspective (OAP) parameter-based intensity dark channel prior (IDCP) with a 50-layer residual deep neural network (ResNet50 DNN) for autolesion segmentation (ALS-IOAP-DNN). …”
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Monitoring And Fault Diagnosis Of Electrical Installation Using Thermal Imaging
Published 2018“…MATLAB is chosen as a platform to develop the algorithm to process the infrared image. …”
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Monograph -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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A lightweight and secure algorithm of elliptic curve cryptography scalar multiplication using Q-NAF method in Lopez-Dahab coordinate
Published 2019“…Over the years, special attention has been given to improving the scalar recoding algorithm, since it is the most computationally intensive operation of ECC. …”
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A NOVEL CONSTRUCTION OF VECTOR COMBINATORIAL (VC) CODE FAMILIES AND DETECTION SCHEME FOR SAC OCDMA SYSTEMS
Published 2010“…The motivation of this research is to develop new code families to enhance the overall performance of optical OCDMA systems. …”
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Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia
Published 2019“…The general objective of the study was the development of optimized hybrid debris flow models using airborne laser scanning data and Machine learning algorithms in Malaysia. …”
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