Výsledky vyhledávání - "Md Sah Hj Salam"

Classification of weed using machine learning techniques: a review—challenges, current and future potential techniques

Autor: Ahmed Husham Al-Badri, Nor Azman Ismail, Khamael Al-Dulaimi, Ghalib Ahmed Salman, A. R. Khan, Aiman Al-Sabaawi, Md Sah Hj Salam

Publikováno v: Journal of Plant Diseases and Protection. 129:745-768

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc354730630c6723e3e7e9ff23183d6f
https://doi.org/10.1007/s41348-022-00612-9

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Arabic Dialogue Processing and Act Classification using Support Vector Machine

Autor: Abraheem Mohammed Sulayman Alsubayhay, Md Sah Hj Salam, Farhan Bin Mohamed

Publikováno v: International Journal of Advanced Computer Science and Applications. 14

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3022a776b812d92b71d11e821ffcf1f2
https://doi.org/10.14569/ijacsa.2023.0140120

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Adaptive Non-Maximum Suppression for improving performance of Rumex detection

Autor: Ahmed Husham Al-Badri, Nor Azman Ismail, Khamael Al-Dulaimi, Ghalib Ahmed Salman, Md Sah Hj Salam

Publikováno v: Expert Systems with Applications. 219:119634

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::854f302bdba4b7080c7a9ed7cd6ef2bd
https://doi.org/10.1016/j.eswa.2023.119634

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A Review on Approaches in Arabic Chatbot for Open and Closed Domain Dialog

Autor: Abraheem Mohammed Sulayman Alsubayhay, Md Sah Hj Salam, Farhan Bin Mohamed

Publikováno v: International Journal of Advanced Computer Science and Applications. 13

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8542789e886be4c65b87983474bfb9dd
https://doi.org/10.14569/ijacsa.2022.0131117

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Rule-Based Embedded HMMs Phoneme Classification to Improve Qur’anic Recitation Recognition

Autor: Ammar Mohammed Ali Alqadasi, Mohd Shahrizal Sunar, Sherzod Turaev, Rawad Abdulghafor, Md Sah Hj Salam, Abdulaziz Ali Saleh Alashbi, Ali Ahmed Salem, Mohammed A. H. Ali

Publikováno v: Electronics; Volume 12; Issue 1; Pages: 176

Phoneme classification performance is a critical factor for the successful implementation of a speech recognition system. A mispronunciation of Arabic short vowels or long vowels can change the meaning of a complete sentence. However, correctly disti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d007b1a171e8d5dc91fad01313f31c46
https://doi.org/10.3390/electronics12010176

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