Search Results - "Abushariah, Mohammad"

Implicit aspect extraction in sentiment analysis: Review, taxonomy, oppportunities, and open challenges by Tubishat, Mohammad, Idris, Norisma, Abushariah, Mohammad A.M.

“…Sentiment analysis is a text classification branch, which is defined as the process of extracting sentiment terms (i.e. feature/aspect, or opinion) and…”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

“…•An improved Salp Swarm Algorithm is proposed for feature selection.•Opposition based learning was used with to improve its population diversity.•New local…”
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Improved whale optimization algorithm for feature selection in Arabic sentiment analysis by Tubishat, Mohammad, Abushariah, Mohammad A. M., Idris, Norisma, Aljarah, Ibrahim

“…To help individuals or companies make a systematic and more accurate decisions, sentiment analysis (SA) is used to evaluate the polarity of reviews. In SA,…”
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A systematic literature review on vision based gesture recognition techniques by Al-Shamayleh, Ahmad Sami, Ahmad, Rodina, Abushariah, Mohammad A. M., Alam, Khubaib Amjad, Jomhari, Nazean

“…Human Computer Interaction (HCI) technologies are rapidly evolving the way we interact with computing devices and adapting to the constantly increasing demands…”
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Paired-unpaired Unsupervised Attention Guided GAN with transfer learning for bidirectional brain MR-CT synthesis by Abu-Srhan, Alaa, Almallahi, Israa, Abushariah, Mohammad A.M., Mahafza, Waleed, Al-Kadi, Omar S.

“…Medical image acquisition plays a significant role in the diagnosis and management of diseases. Magnetic Resonance (MR) and Computed Tomography (CT) are…”
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The effect of loss function on conditional generative adversarial networks by Abu-Srhan, Alaa, Abushariah, Mohammad A.M., Al-Kadi, Omar S.

“…Conditional Generative Adversarial Network (cGAN) is a general purpose approach for many image-to-image translation tasks, which aims to translate images from…”
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Intelligent detection of hate speech in Arabic social network: A machine learning approach by Aljarah, Ibrahim, Habib, Maria, Hijazi, Neveen, Faris, Hossam, Qaddoura, Raneem, Hammo, Bassam, Abushariah, Mohammad, Alfawareh, Mohammad

“…Nowadays, cyber hate speech is increasingly growing, which forms a serious problem worldwide by threatening the cohesion of civil societies. Hate speech…”
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Dental radiography segmentation using expectation-maximization clustering and grasshopper optimizer by Qaddoura, Raneem, Manaseer, Waref Al, Abushariah, Mohammad A. M., Alshraideh, Mohammad Aref

“…Image segmentation is a popular technique that is used for extracting information from images, which has also gained a lot of interest lately due to its…”
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Bilingual Automatic Speech Recognition: A Review, Taxonomy and Open Challenges by Abushariah, Ahmad A. M., Ting, Hua-Nong, Mustafa, Mumtaz Begum Peer, Khairuddin, Anis Salwa Mohd, Abushariah, Mohammad A. M., Tan, Tien-Ping

“…In this technological era, smart and intelligent systems that are integrated with artificial intelligence (AI) techniques, algorithms, tools, and technologies,…”
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A deep learning approach for automatic speech recognition of The Holy Qur’ān recitations by Tantawi, Imad K., Abushariah, Mohammad A. M., Hammo, Bassam H.

“…Being the main spiritual source and reference for Muslims, The Holy Qur’ān can be recited in ten recitations (Qiraat). Each recitation (Qiraah) possesses…”
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Unpaired MR-CT brain dataset for unsupervised image translation by Al-Kadi, Omar S., Almallahi, Israa, Abu-Srhan, Alaa, Mohammad Abushariah, A.M., Mahafza, Waleed

“…The data presented in this article deals with the problem of brain tumor image translation across different modalities. The provided dataset represents…”
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Modern Standard Arabic speech disorders corpus for digital speech processing applications by Alqudah, Assal A. M., Alshraideh, Mohammad A. M., Abushariah, Mohammad A. M., Sharieh, Ahmad A. S.

“…Digital speech processing applications including automatic speech recognition (ASR), speaker recognition, speech translation, and others, essentially require…”
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Fusion of speech and handwritten signatures biometrics for person identification by Abushariah, Ahmad A. M., Abushariah, Mohammad A. M., Gunawan, Teddy Surya, Chebil, J., Alqudah, Assal A. M., Ting, Hua-Nong, Mustafa, Mumtaz Begum Peer

“…Automatic person identification (API) using human biometrics is essential and highly demanded compared to traditional API methods, where a person is…”
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Towards an automatic extraction of synonyms for Quranic Arabic WordNet by AlMaayah, Manal, Sawalha, Majdi, Abushariah, Mohammad A. M.

“…In this paper, we developed an automatic extraction model of synonyms, which is used to construct our Quranic Arabic WordNet (QAWN) that depends on traditional…”
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TAMEEM V1.0: speakers and text independent Arabic automatic continuous speech recognizer by Abushariah, Mohammad A. M.

“…This research work aims to disseminate the efforts towards developing and evaluating TAMEEM V1.0, which is a state-of-the-art pure Modern Standard Arabic…”
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Phonetically rich and balanced text and speech corpora for Arabic language by Abushariah, Mohammad A. M., Ainon, Raja N., Zainuddin, Roziati, Elshafei, Moustafa, Khalifa, Othman O.

“…This paper describes the preparation, recording, analyzing, and evaluation of a new speech corpus for Modern Standard Arabic (MSA). The speech corpus contains…”
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Note from the Guest Editors: Special issue on Arabic Natural Language Processing and Speech Recognition: A study of algorithms, resources, tools, techniques, and commercial applications by Abushariah, Mohammad A. M., Neustein, Amy, Hammo, Bassam H.

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Acoustic echo cancellation using adaptive filtering algorithms for Quranic accents (Qiraat) identification by Kamarudin, Noraziahtulhidayu, Al-Haddad, S. A. R., Abushariah, Mohammad A. M., Hashim, Shaiful Jahari, Hassan, Abd Rauf Bin

“…Echoed parts of Quranic accent (Qiraat) signals are exposed to reverberation of signals especially if they are listened to in a conference room or the Quranic…”
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Modern standard Arabic speech corpus for implementing and evaluating automatic continuous speech recognition systems by Abushariah, Mohammad Abd-Alrahman Mahmoud, Ainon, Raja Noor, Zainuddin, Roziati, Alqudah, Assal Ali Mustafa, Elshafei Ahmed, Moustafa, Khalifa, Othman Omran

“…This paper presents our work towards developing a new speech corpus for Modern Standard Arabic (MSA), which can be used for implementing and evaluating Arabic…”
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Explicit aspects extraction in sentiment analysis using optimal rules combination by Tubishat, Mohammad, Idris, Norisma, Abushariah, Mohammad

“…Aspect extraction represents a core task of aspect-based sentiment analysis. This study presents a supervised aspect extraction algorithm for explicit aspect…”
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