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CUDA implementation of fractal image compression by Al Sideiri A., Alzeidi N., Al Hammoshi M., Chauhan M.S., AlFarsi G.

Gripping controller design for a one-degree-of-freedom robotic hand model based on slip detection by Al-Shanoon, Abdulrahman Abdulkareem Sattoori

“…In this study, the robotic hand model employs an accelerometer sensor to detect the acceleration signal of the object during slippage. Furthermore, a common type of rotary encoder device is used to measure the distance of the slipping situation and velocity. …”
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PID-PSO DC motor position controller design for ankle rehabilitation system by Azizi, Muhammad Azizul Raziq

“…The control algorithms also aim to be analyzed using an incremental rotary encoder sensor device as closed-loop feedback for dorsiflexion and plantarflexion movement. …”
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Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman by Mohd Azman, Muhammad Qayyum

“…In response to the unprecedented challenges posed by the COVID-19 pandemic, this research project presents a systematic approach to outbreak prediction, specifically advocating for the implementation of Support Vector Machine (SVM) algorithms. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Gripping an object based on inspection of slip events for a robotic hand model by Al-Shanoon, Abdulrahman Abdulkareem Sattoori, Ahmad, Siti Anom, Hassan, Mohd Khair

“…Tactile pressure sensors are utilized to discover the physical interaction between robotic claws and a particular object during the gripping operation. Slip signal detection is executed by implementing a rotary encoder device that was provided in a robotic hand model. …”
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Data Hiding Techniques In Digital Images by Al Thloothi, Salah Ramadan

“…After all these studies, one of the algorithms in the masking technique is developed and implemented using JAVA program to embed message into true color image with a good quality and higher capacity. …”
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Improved personalised data modelling using parameter independent fuzzy weighted k-nearest neighbour for spatio/spectro-temporal data by Abdullah, Mohd Hafizul Afifi

“…Additionally, it does not consider the class-specific fuzzy weight information during the classification process. Therefore, a data modelling mechanism which implements PIfwkNN classifier algorithm for improving the overall classification accuracy of the NeuCube architecture has been proposed. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush