Search Results - (( developing selected arab algorithm ) OR ( java implication based algorithm ))

Arabtalk, an implementation for Arabic TTS by Abdulhalim, Yasser Hifny, Qurany, Shady, Hamid, Salah, Rashwan, Muhsen, Atiyya, Muhammad, Ahmed Mahmoud, Ahmed Ragheb, Khallaaf, Galaal

“…In addition, it has a real time synthesis by selection algorithm to explore large speech corpus. …”
Get full text
Get full text

Google autocomplete search algorithms and the Arabs' perspectives on gender: a case study of Google Egypt by Al-Abbas, Linda S., Haider, Ahmad S., Hussein, Riyad F.

“…Google is queried by entering a combination of Arabic question wordsfollowed by the Arabic equivalents for men and women. …”
Get full text
Get full text
Get full text

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

Get full text
Get full text
Get full text

Arabic stop words for information retrieval systems by Tengku Sembok, Tengku Mohd, Abuata, Belal Mustafa

“…The study employs both manual selection and statistical analysis to develop a comprehensive stop word list, focusing on Quranic text as a reference corpus. …”
Get full text
Get full text
Get full text

Development of language identification system using MFCC and vector quantization by Gunawan, Teddy Surya, Husain, Rashida, Kartiwi, Mira

“…This paper investigates the development of language identification based on Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm. …”
Get full text
Get full text
Get full text

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

Deep learning in public health: Comparative predictive models for COVID-19 case forecasting by Muhammad Usman Tariq, Muhammad Usman Tariq, Ismail, Shuhaida

“…Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. The findings indicate that the selected deep learning algorithms were proficient in forecasting COVID-19 cases, although their efficacy varied across different models. …”
Get full text
Get full text
Get full text

Language identification system using Matlab: design, implementation, and sample codes by Husain, Rashida, Gunawan, Teddy Surya, Kartiwi, Mira

“…This book investigates the development of language identification based on Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm. …”
Get full text
Get full text

Shapeable Maximum-Power Point-Tracking Algorithm To Improve The Stability Of The Output Behavior Of A Thermoelectric-Solar Hybrid Energy-Harvesting System by Md Yusop, Azdiana, Mohamed, Ramizi, Ayob, Afida, Mohamed, Azah

Get full text
Get full text
Get full text
Get full text

Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning by Ismail, Amelia Ritahani, Azhary, Muhammad Zulhazmi Rafiqi, Hitam, Nor Azizah

Get full text
Get full text
Get full text
Get full text

A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm by Ahmed Ali Mohammed, Al-saffar

“…Experiments were performed on two well-known datasets of Arabic and English handwriting, IAM and IFN/ENIT. …”
Get full text
Get full text

Al-Hams and Al-Jahr Sifaat evaluation using classification approach by Altalmas, Tareq, M., Ahmad, Salmiah, Sediono, Wahju, Nik Hashim, Nik Nur Wahidah, Embong, Abd Halim, Hassan, Surul Shahbudin

“…Mel-frequency Cepstral Coefficients (MFCC) technique was used as features extraction, obtained from the pre-processed audio signal. Features selection technique was then implemented to reduce the size of the features vector, where later, K-nearest Neighbor (KNN) algorithm was used as the classification technique. …”
Get full text
Get full text
Get full text