ProfessorsProfessors of Mangalore UniversityGuesh Dagnew

Guesh Dagnew

Mangalore University

H-index: 9

Asia-India

About Guesh Dagnew

Guesh Dagnew, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Mangalore University, specializes in the field of Machine Learning, Deep Learning, Data Science, Big Databases, Artificial Intelligence.

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

SARIMA model-based forecasting required number of COVID-19 vaccines globally and empirical analysis of peoples’ view towards the vaccines

The COVID-19 pandemic: prediction study based on machine learning models

A review on the internet of things and big data analytics based on smart cities

Ensemble learning‐based classification of microarray cancer data on tree‐based features

Integrating data warehouse and machine learning to predict on COVID-19 pandemic empirical data

ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound

Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approaches

Deep learning approach for microarray cancer data classification

Guesh Dagnew Information

University	Mangalore University
Position	___
Citations(all)	856
Citations(since 2020)	848
Cited By	132
hIndex(all)	9
hIndex(since 2020)	8
i10Index(all)	8
i10Index(since 2020)	8
Email	Access Email
University Profile Page	Mangalore University
Google Scholar	View Google Scholar Profile

Guesh Dagnew Skills & Research Interests

Machine Learning

Deep Learning

Data Science

Big Databases

Artificial Intelligence

Top articles of Guesh Dagnew

Title	Journal	Author(s)	Publication Date
SARIMA model-based forecasting required number of COVID-19 vaccines globally and empirical analysis of peoples’ view towards the vaccines	Alexandria Engineering Journal	Amer Malki El-Sayed Atlam Aboul Ella Hassanien Ashraf Ewis Guesh Dagnew ...	2022/12/1
The COVID-19 pandemic: prediction study based on machine learning models	Environmental Science and Pollution Research	Z Malki E-S Atlam A Ewis G Dagnew OA Ghoneim ...	2021/8
A review on the internet of things and big data analytics based on smart cities		John W Kasubi DH Manjaiah Guesh Dagnew Demewez	2021/3/25
Ensemble learning‐based classification of microarray cancer data on tree‐based features	Cognitive Computation and Systems	Guesh Dagnew BH Shekar	2021/3
Integrating data warehouse and machine learning to predict on COVID-19 pandemic empirical data	Journal of Theoretical and Applied Information Technology	Hasan Hashim ES Atlam M Almaliki R El-Agamy MM El-Sharkasy ...	2021
ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound	Neural Computing and Applications	Zohair Malki El-Sayed Atlam Ashraf Ewis Guesh Dagnew Ahmad Reda Alzighaibi ...	2020/10/23
Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approaches	Chaos, Solitons & Fractals	Zohair Malki El-Sayed Atlam Aboul Ella Hassanien Guesh Dagnew Mostafa A Elhosseini ...	2020/9/1
Deep learning approach for microarray cancer data classification	CAAI Transactions on Intelligence Technology	Hema Shekar Basavegowda Guesh Dagnew	2020/3
Bidirectional Residual LSTM-based Human Activity Recognition	Computer and Information Science	Ibrahim Gad Zuhair Malki El-Sayed Atlam Guesh Dagnew Ahmad Reda Alzighaibi Elmarhomy Ghada	2020/6
L1-Regulated Feature Selection and Classification of Microarray Cancer Data Using Deep Learning		BH Shekar Guesh Dagnew	2020