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Animal voice recognition for identification (ID) detection system by Yeo, Che Yong, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Ng, Chee Kyun

“…Voice recognition systems have become the important applications for speech recognition technology. In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. …”
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Dog voice identification (ID) for detection system by Yeo, Che Yong, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Ng, Chee Kyun

“…Voice recognition systems have become the important applications for speech recognition technology. In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. …”
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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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Classification of Unhealthy Chicken based on Chromaticity of the Comb by Bakar M.A.A.A., Ker P.J., Tang S.G.H., Lee H.J., Zainal B.S.

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Object Detection and Movement Tracking Using Tubelets and Faster RCNN Algorithm with Anchor Generation by Prabu Mohandas, Jerline Sheebha Anni, Rajkumar Thanasekaran, Khairunnisa Hasikin, Muhammad Mokhzaini Azizan

Intelligent mining of large-scale bio-data: bioinformatics applications by Hashemi, Farahnaz Sadat Golestan, Ismail, Mohd Razi, Yusop, Mohd Rafii, Hashemi, Mahboobe Sadat Golestan, Shahraki, Mohammad Hossein Nadimi, Rastegari, Hamid, Miah, Gous, Aslani, Farzad

“…Therefore, scholars have been encouraged to develop effective methods to extract the hidden knowledge in these data. …”
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Development of an economic wireless human motion analysis device for quantitative assessment of human body joint by Ong, Zhi Chao, Seet, Y.C., Khoo, Shin Yee, Noroozi, Siamak

“…Several tests were conducted to validate the data extracted from gyroscope and accelerometer of the IMU. …”
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A hybrid chromaticity-morphological machine learning model to overcome the limit of detecting newcastle disease in experimentally infected chicken within 36 h by Bakar, Mohd Anif A.A., Ker, Pin Jern, Tang, Shirley G.H., Arman Shah, Fatin Nursyaza, Mahlia, T. M.Indra, Baharuddin, Mohd Zafri, Omar, Abdul Rahman

“…This work demonstrates a promising methodology in developing machine learning algorithm using hybrid chromaticity-morphological features for early detection of virus-infected chickens, contributing to the goal of a sustainable and healthier planet.…”
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Extraction of natural hydroxyapatite for biomedical applications—a review by Abdulah, Hasan Zuhudi, Hussin, Mohamed Saiful Firdaus, Idris, Maizlinda Izwana, Abdul Wahap, Mohd Arizam

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