Mohammad Fraiwan

About Mohammad Fraiwan

Mohammad Fraiwan, With an exceptional h-index of 19 and a recent h-index of 16 (since 2020), a distinguished researcher at Jordan University of Science and Technology, specializes in the field of Artificial Intelligence, network security, cybersecurity, interdisciplinary research, Computer Applications.

His recent articles reflect a diverse array of research interests and contributions to the field:

Detection of K-complexes in EEG signals using deep transfer learning and YOLOv3

A review of chatgpt applications in education, marketing, software engineering, and healthcare: Benefits, drawbacks, and research directions

A dataset of COVID-19 x-ray chest images

Classification of Corn Diseases from Leaf Images Using Deep Transfer Learning

Detection of developmental dysplasia of the hip in X-ray images using deep transfer learning

On the automatic detection and classification of skin cancer using deep transfer learning

Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory

Using deep transfer learning to detect scoliosis and spondylolisthesis from X-ray images

Mohammad Fraiwan Information

University

Position

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Citations(all)

877

Citations(since 2020)

670

Cited By

280

hIndex(all)

19

hIndex(since 2020)

16

i10Index(all)

27

i10Index(since 2020)

20

Email

University Profile Page

Jordan University of Science and Technology

Google Scholar

View Google Scholar Profile

Mohammad Fraiwan Skills & Research Interests

Artificial Intelligence

network security

cybersecurity

interdisciplinary research

Computer Applications

Top articles of Mohammad Fraiwan

Title

Journal

Author(s)

Publication Date

Detection of K-complexes in EEG signals using deep transfer learning and YOLOv3

Cluster Computing

Natheer Khasawneh

Mohammad Fraiwan

Luay Fraiwan

2023/12

A review of chatgpt applications in education, marketing, software engineering, and healthcare: Benefits, drawbacks, and research directions

Mohammad Fraiwan

Natheer Khasawneh

2023/4/29

A dataset of COVID-19 x-ray chest images

Data in Brief

Mohammad Fraiwan

Natheer Khasawneh

Basheer Khassawneh

Ali Ibnian

2023/4/1

Classification of Corn Diseases from Leaf Images Using Deep Transfer Learning

Plants

Fraiwan Mohammad

Esraa Faouri

Natheer Khasawneh

2022/10/11

Detection of developmental dysplasia of the hip in X-ray images using deep transfer learning

BMC Medical Informatics and Decision Making

Mohammad Fraiwan

Noran Al-Kofahi

Ali Ibnian

Omar Hanatleh

2022/8/13

On the automatic detection and classification of skin cancer using deep transfer learning

Sensors

Mohammad Fraiwan

Esraa Faouri

2022/6/30

Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory

Journal of Ambient Intelligence and Humanized Computing

Mohammad Fraiwan

Luay Fraiwan

Mohanad Alkhodari

Omnia Hassanin

2022/10/1

Using deep transfer learning to detect scoliosis and spondylolisthesis from X-ray images

Plos one

Mohammad Fraiwan

Ziad Audat

Luay Fraiwan

Tarek Manasreh

2022/5/2

Multiclass classification of grape diseases using deep artificial intelligence

Agriculture

Mohammad Fraiwan

Esraa Faouri

Natheer Khasawneh

2022/9/24

Identification of markers and artificial intelligence-based classification of radical Twitter data

Applied Computing and Informatics

Mohammad Fraiwan

2022/2/14

Automatic detection of tomato diseases using deep transfer learning

Applied Sciences

Natheer Khasawneh

Esraa Faouri

Mohammad Fraiwan

2022/8/24

Multiclass Epilepsy Classification Using Wavelet Decomposition, Direct Quadrature, and Shannon Entropy

J. Eng. Sci. Technol

MOHAMMAD A Fraiwan

MAHA Alafeef

2022/2

Detection of K-complexes in EEG waveform images using faster R-CNN and deep transfer learning

BMC Medical Informatics and Decision Making

Natheer Khasawneh

Mohammad Fraiwan

Luay Fraiwan

2022/11/17

On Using Deep Artificial Intelligence to Automatically Detect Apple Diseases from Leaf Images

Sustainability

Mohammad Fraiwan

Esraa Faouri

Natheer Khasawneh

2022/8/19

Determination of chewing count from video recordings using discrete wavelet decomposition and low pass filtration

Sensors

Sana Alshboul

Mohammad Fraiwan

2021/10/13

Introducing a capstone course on social networks

International Journal of Continuing Engineering Education and Life Long Learning

Mohammad Fraiwan

2021

Automatic identification of respiratory diseases from stethoscopic lung sound signals using ensemble classifiers

Biocybernetics and Biomedical Engineering

Luay Fraiwan

Omnia Hassanin

Mohammad Fraiwan

Basheer Khassawneh

Ali M Ibnian

...

2021/1/1

Detection of covid-19 from chest x-ray images using deep convolutional neural networks

Journal of medical imaging

Jenita Manokaran

Fatemeh Zabihollahy

Andrew Hamilton-Wright

Eranga Ukwatta

2021/1/1

A dataset of lung sounds recorded from the chest wall using an electronic stethoscope

Data in Brief

Mohammad Fraiwan

Luay Fraiwan

Basheer Khassawneh

Ali Ibnian

2021/4/1

Body mass index and potential correlates among elementary school children in Jordan

Eating and Weight Disorders-Studies on Anorexia, Bulimia and Obesity

Mohammad Fraiwan

Fidaa Almomani

Hanan Hammouri

2021/3

See List of Professors in Mohammad Fraiwan University(Jordan University of Science and Technology)

Co-Authors

H-index: 47
Manimaran Govindarasu

Manimaran Govindarasu

Iowa State University

H-index: 23
Luay Fraiwan

Luay Fraiwan

Jordan University of Science and Technology

H-index: 21
Omar Al-Jarrah

Omar Al-Jarrah

Jordan University of Science and Technology

H-index: 21
Samer Al-Kiswany

Samer Al-Kiswany

University of Waterloo

H-index: 14
Natheer Khasawneh

Natheer Khasawneh

Jordan University of Science and Technology

H-index: 14
Falko Schmid

Falko Schmid

Heinrich-Heine-Universität Düsseldorf

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