What is he best known for?
The fields of study he is best known for:
- Management
- Artificial intelligence
- Social science
Samy S. Abu-Naser mainly focuses on Expert system, Artificial intelligence, Artificial neural network, Machine learning and Medical emergency.
His Expert system research is multidisciplinary, incorporating perspectives in Medical diagnosis, Knowledge management, Knowledge-based systems, CLIPS and Software engineering.
His studies link Computer vision with Artificial intelligence.
His research integrates issues of Lung cancer, Biological system and Parkinson's disease in his study of Artificial neural network.
His work on Deep learning is typically connected to Urination and Exploratory factor analysis as part of general Machine learning study, connecting several disciplines of science.
Samy S. Abu-Naser has included themes like Ambulatory, Physical examination and Chest pain in his Medical emergency study.
His most cited work include:
- Developing an expert system for plant disease diagnosis (88 citations)
- A proposed expert system for selecting exploratory factor analysis procedures (69 citations)
- A Proposed Expert System for Skin Diseases Diagnosis (63 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Expert system, Artificial intelligence, Artificial neural network, Public relations and Gaza strip.
His Expert system research incorporates elements of Medical emergency, CLIPS, Disease, Intelligent tutoring system and Knowledge-based systems.
He regularly links together related areas like TUTOR in his Intelligent tutoring system studies.
The Artificial intelligence study combines topics in areas such as Natural language processing, Machine learning and Pattern recognition.
Samy S. Abu-Naser performs integrative study on Gaza strip and Public administration.
He most often published in these fields:
- Expert system (21.67%)
- Artificial intelligence (21.05%)
- Artificial neural network (11.15%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (21.05%)
- Deep learning (5.88%)
- Process management (4.64%)
In recent papers he was focusing on the following fields of study:
Samy S. Abu-Naser mostly deals with Artificial intelligence, Deep learning, Process management, Machine learning and Public relations.
He studies Artificial neural network, a branch of Artificial intelligence.
His Deep learning research integrates issues from Radiology and Convolutional neural network.
Samy S. Abu-Naser has researched Process management in several fields, including Performance improvement, Creative behavior and Flexibility.
His Flexibility study combines topics in areas such as Quality, Service quality and Quality of service.
His Machine learning study frequently links to other fields, such as Expert system.
Between 2019 and 2021, his most popular works were:
- COVID-19 Detection using Artificial Intelligence (22 citations)
- Requirements for Applying the Strategic Entrepreneurship as an Entry Point to Enhance Technical Innovation: Case Study - Palestine Technical College- Deir al-Balah (21 citations)
- Analyzing Types of Cherry Using Deep Learning (20 citations)
In his most recent research, the most cited papers focused on:
- Management
- Artificial intelligence
- Social science
Samy S. Abu-Naser spends much of his time researching Artificial intelligence, Deep learning, Machine learning, Criminology and Organizational justice.
His study looks at the intersection of Artificial intelligence and topics like Pattern recognition with Signature.
Many of his studies on Machine learning apply to Expert system as well.
His Criminology study overlaps with Pandemic and Organizational citizenship behavior.
Samy S. Abu-Naser conducts interdisciplinary study in the fields of Organizational citizenship behavior and Gaza strip through his research.
His Organizational justice study frequently links to related topics such as Social psychology.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
