Natheer Khasawneh

About Natheer Khasawneh

Natheer Khasawneh, With an exceptional h-index of 14 and a recent h-index of 11 (since 2020), a distinguished researcher at Jordan University of Science and Technology, specializes in the field of Artificial Intelligence, Data Mining, Web Engineering.

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

A dataset of COVID-19 x-ray chest images

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

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

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

Classification of corn diseases from leaf images using deep transfer learning

Multiclass classification of grape diseases using deep artificial intelligence

Automatic detection of tomato diseases using deep transfer learning

Natheer Khasawneh Information

University

Position

Associate Professor

Citations(all)

1185

Citations(since 2020)

657

Cited By

745

hIndex(all)

14

hIndex(since 2020)

11

i10Index(all)

19

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Natheer Khasawneh Skills & Research Interests

Artificial Intelligence

Data Mining

Web Engineering

Top articles of Natheer Khasawneh

Title

Journal

Author(s)

Publication Date

A dataset of COVID-19 x-ray chest images

Data in Brief

Mohammad Fraiwan

Natheer Khasawneh

Basheer Khassawneh

Ali Ibnian

2023/4/1

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

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

Sustainability

Mohammad Fraiwan

Esraa Faouri

Natheer Khasawneh

2022/8/19

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

Classification of corn diseases from leaf images using deep transfer learning

Plants

Fraiwan Mohammad

Esraa Faouri

Natheer Khasawneh

2022/10/11

Multiclass classification of grape diseases using deep artificial intelligence

Agriculture

Mohammad Fraiwan

Esraa Faouri

Natheer Khasawneh

2022/9/24

Automatic detection of tomato diseases using deep transfer learning

Applied Sciences

Natheer Khasawneh

Esraa Faouri

Mohammad Fraiwan

2022/8/24

Non-contact spirometry using a mobile thermal camera and AI regression

Sensors

Luay Fraiwan

Natheer Khasawneh

Khaldon Lweesy

Mennatalla Elbalki

Amna Almarzooqi

...

2021/11/15

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 Framework for Crowd-Sourced Exercise Data Collection and Processing

Natheer Khasawneh

Christoph Schulte

Mohammad Fraiwan

2020/4/7

See List of Professors in Natheer Khasawneh University(Jordan University of Science and Technology)