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Database encryption for a Web-based Claims System by Syed Zulkarnain Syed Idrus

“…The main purpose of this study is to develop a computer system for UniMAP staff to make claims via electronic media. …”
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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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Detecting emotions and depression through voice by Gunawan, Teddy Surya

“…A deep learning algorithm can detect emotion, including depression, using a voice signal. …”
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From Intrusion Detection to an Intrusion Response System: Fundamentals, Requirements, and Future Directions by Shahid, Anwar, Jasni, Mohamad Zain, Mohamad Fadli, Zolkipli, Inayat, Zakira, Khan, Suleman, Anthony, Bokolo Jnr., Chang, Victor

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Medical sign language translator in healthcare facility using yolo version 7 algorithm / Nurin Qistina Zaini by Zaini, Nurin Qistina

“…The system will begin to function by receiving real-time input of a sign language image. The YOLOv7 algorithm will process the image by detecting trained images in the input image. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

The Potential of High Density Scanner Technique for Terrestrial Surface Displacement Studies in Malaysia

“…HDS technology is a surveying method conceived more than ten years ago that in a short time can supply DSM (Digital Surface Model) and good quality DTM as a result of elaborations with specific filtering and interpolation algorithms; only recently has this technique shown growth in development and applications. …”
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Review of Medium-Voltage Switchgear Fault Detection in a Condition-Based Monitoring System by Using Deep Learning by Alsumaidaee Y.A.M., Yaw C.T., Koh S.P., Tiong S.K., Chen C.P., Ali K.

Reckoning of facial grimacing scheme for patient agitation in critical care by Muhammad Naufal, Mansor, Sazali, Yaacob, Prof. Dr., Nagarajan, Ramachandran, Prof. Dr.

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Monitoring water quality in Pusu river using Internet of Things (IoT) and Machine Learning (ML) by Kabbashi, Nassereldeen Ahmed, Hasan, Tahsin Fuad, Alam, Md Zahangir, Saleh, Tanveer, Hassan Abdalla Hashim, Aisha

“…Nine proven classification algorithms were applied to the datasets, successfully classifying the water quality conditions with up to 98% accuracy. …”
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