15   Artículos

 
en línea
Shadi AlZu?bi, Mohammad Elbes, Ala Mughaid, Noor Bdair, Laith Abualigah, Agostino Forestiero and Raed Abu Zitar    
Diabetes is a metabolic disorder in which the body is unable to properly regulate blood sugar levels. It can occur when the body does not produce enough insulin or when cells become resistant to insulin?s effects. There are two main types of diabetes, Ty... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Bashar Igried, Shadi AlZu?bi, Darah Aqel, Ala Mughaid, Iyad Ghaith and Laith Abualigah    
Plant diseases represent one of the critical issues which lead to a major decrease in the quantity and quality of crops. Therefore, the early detection of plant diseases can avoid any losses or damage to these crops. This paper presents an image processi... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Khaled H. Almotairi, Ahmad MohdAziz Hussein, Laith Abualigah, Sohaib K. M. Abujayyab, Emad Hamdi Mahmoud, Bassam Omar Ghanem and Amir H. Gandomi    
Integrating machine learning technologies into artificial intelligence (AI) is at the forefront of the scientific and technological tools employed to combat the COVID-19 pandemic. This study assesses different uses and deployments of modern technology fo... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Zaher Ali Al-Sai, Mohd Heikal Husin, Sharifah Mashita Syed-Mohamad, Rosni Abdullah, Raed Abu Zitar, Laith Abualigah and Amir H. Gandomi    
Big Data and analytics have become essential factors in managing the COVID-19 pandemic. As no company can escape the effects of the pandemic, mature Big Data and analytics practices are essential for successful decision-making insights and keeping pace w... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Khalid Alkhatib, Huthaifa Khazaleh, Hamzah Ali Alkhazaleh, Anas Ratib Alsoud and Laith Abualigah    
Stock price prediction is a significant research field due to its importance in terms of benefits for individuals, corporations, and governments. This research explores the application of the new approach to predict the adjusted closing price of a specif... ver más

 
en línea
Tingyao Wu, Di Wu, Heming Jia, Nuohan Zhang, Khaled H. Almotairi, Qingxin Liu and Laith Abualigah    
The Gorilla Troops Optimizer (GTO) is a novel Metaheuristic Algorithm that was proposed in 2021. Its design was inspired by the lifestyle characteristics of gorillas, including migration to a known position, migration to an undiscovered position, moving ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yousif A. Alhaj, Abdelghani Dahou, Mohammed A. A. Al-qaness, Laith Abualigah, Aaqif Afzaal Abbasi, Nasser Ahmed Obad Almaweri, Mohamed Abd Elaziz and Robertas Dama?evicius    
We propose a novel text classification model, which aims to improve the performance of Arabic text classification using machine learning techniques. One of the effective solutions in Arabic text classification is to find the suitable feature selection me... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Zaher Ali Al-Sai, Mohd Heikal Husin, Sharifah Mashita Syed-Mohamad, Rasha Moh?d Sadeq Abdin, Nour Damer, Laith Abualigah and Amir H. Gandomi    
Big data applications and analytics are vital in proposing ultimate strategic decisions. The existing literature emphasizes that big data applications and analytics can empower those who apply Big Data Analytics during the COVID-19 pandemic. This paper r... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Maha Gharaibeh, Dalia Alzu?bi, Malak Abdullah, Ismail Hmeidi, Mohammad Rustom Al Nasar, Laith Abualigah and Amir H. Gandomi    
Plenty of disease types exist in world communities that can be explained by humans? lifestyles or the economic, social, genetic, and other factors of the country of residence. Recently, most research has focused on studying common diseases in the populat... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Maha Gharaibeh, Mothanna Almahmoud, Mostafa Z. Ali, Amer Al-Badarneh, Mwaffaq El-Heis, Laith Abualigah, Maryam Altalhi, Ahmad Alaiad and Amir H. Gandomi    
Neuroimaging refers to the techniques that provide efficient information about the neural structure of the human brain, which is utilized for diagnosis, treatment, and scientific research. The problem of classifying neuroimages is one of the most importa... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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