Prof.Ismail Hmeidi

About Prof.Ismail Hmeidi

Prof.Ismail Hmeidi, With an exceptional h-index of 18 and a recent h-index of 14 (since 2020), a distinguished researcher at Jordan University of Science and Technology, specializes in the field of Information Retrieval, Natural Language Processing, IoT, Data Science.

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

Predicting the severity of COVID-19 from lung CT images using novel deep learning

Hydrocephalus classification in brain computed tomography medical images using deep learning

Kidney tumor detection and classification based on deep learning approaches: a new dataset in CT scans

Deep learning approach for classifying CT images of COVID-19: A Systematic Review

Detecting COVID-19 Implication on Education and Economic in Arab World Using Sentiment Analysis Techniques of Twitter Data

Radiology imaging scans for early diagnosis of kidney tumors: a review of data analytics-based machine learning and deep learning approaches

Research Article Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans

Blockchain Technology in Cloud Computing: Challenges and Open Issues

Prof.Ismail Hmeidi Information

University

Position

___

Citations(all)

1273

Citations(since 2020)

744

Cited By

806

hIndex(all)

18

hIndex(since 2020)

14

i10Index(all)

25

i10Index(since 2020)

19

Email

University Profile Page

Jordan University of Science and Technology

Google Scholar

View Google Scholar Profile

Prof.Ismail Hmeidi Skills & Research Interests

Information Retrieval

Natural Language Processing

IoT

Data Science

Top articles of Prof.Ismail Hmeidi

Title

Journal

Author(s)

Publication Date

Predicting the severity of COVID-19 from lung CT images using novel deep learning

Journal of medical and biological engineering

Ahmad Imwafak Alaiad

Esraa Ahmad Mugdadi

Ismail Ibrahim Hmeidi

Naser Obeidat

Laith Abualigah

2023/4

Hydrocephalus classification in brain computed tomography medical images using deep learning

Simulation Modelling Practice and Theory

Salsabeel Abu Al Rub

Ahmad Alaiad

Ismail Hmeidi

Muhannad Quwaider

Omar Alzoubi

2023/2/1

Kidney tumor detection and classification based on deep learning approaches: a new dataset in CT scans

Journal of Healthcare Engineering

Dalia Alzu’bi

Malak Abdullah

Ismail Hmeidi

Rami AlAzab

Maha Gharaibeh

...

2022/10/22

Deep learning approach for classifying CT images of COVID-19: A Systematic Review

Esraa Mugdadi

Ismail Hmeidi

Ahmad Al-Aiad

Naser Obeidat

2022/7/4

Detecting COVID-19 Implication on Education and Economic in Arab World Using Sentiment Analysis Techniques of Twitter Data

Omar AlZoubi

Farah Shatnawi

Saif Rawashdeh

Muneer Bani Yassein

Ismail Hmeidi

2022/6/21

Radiology imaging scans for early diagnosis of kidney tumors: a review of data analytics-based machine learning and deep learning approaches

Maha Gharaibeh

Dalia Alzu’bi

Malak Abdullah

Ismail Hmeidi

Mohammad Rustom Al Nasar

...

2022/3/8

Research Article Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans

Dalia Alzu’bi

Malak Abdullah

Ismail Hmeidi

Rami AlAzab

Maha Gharaibeh

...

2022

Blockchain Technology in Cloud Computing: Challenges and Open Issues

Muneer Bani Yassein

Ismail Hmeidi

Omar Alomari

Wail Mardini

Omar AlZoubi

...

2022

A deep learning approach to classify and quantify the multiple emotions of arabic tweets

Faisal Abdullah

Mahmoud Al-Ayyoub

Ismail Hmeidi

Nouh Alhindaw

2021/5/24

Energy saving techniques in CoAP of Internet of Things

Muneer Bani Yassein

Ismail Hmeidi

Fatimah Alghazo

Bayan Odat

Ayat Smairat

2021/4/5

Performance Analysis of Minimum Rank with Hysteresis Objective Function for Internet of Things

IEICE Proceedings Series

Muneer Bani Yassein

Ismail I Hmeidi

Omar Meqdadi

Dragana Krstic

Maram Gharaibeh

2021/3/24

Cloud computing role in Internet of Things: business community survey

Muneer Bani Yassein

Ismail Hmeidi

Abdalraheem Alsmadi

Mohammed Shatnawi

2020/4/7

Challenges and techniques of constrained application protocol (CoAP) for efficient energy consumption

Muneer Bani Yassein

Ismail Hmeidi

Omar Meqdadi

Fatimah Alghazo

Bayan Odat

...

2020/4/7

Features, Challenges and Issues of Fog Computing: A Comprehensive Review

Muneer Bani Yassein

Omar Alzoubi

Saif Rawasheh

Farah Shatnawi

Ismail Hmeidi

2020

A deep learning approach for classifying emotions from physiological data

Omar Alzoubi

Buthina Almakhadmeh

Saja Tawalbeh

Muneer Bani Yassien

Ismail Hmeidi

2020/4/7

Measuring and enhancing the performance of undergraduate student using machine learning tools

Safaa Alhusban

Mohammed Shatnawi

Muneer Bani Yassein

Ismail Hmeidi

2020/4/7

See List of Professors in Prof.Ismail Hmeidi University(Jordan University of Science and Technology)