Mohamed Hamada

Mohamed Hamada

University of Aizu

H-index: 21

Asia-Japan

About Mohamed Hamada

Mohamed Hamada, With an exceptional h-index of 21 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Aizu, specializes in the field of Artificial Intelligence, Learning Technologies, computer education.

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

A Com-pressed Convolutional Neural Net-work (CNN) Model for Rice Yield Detection at Ripening Stage Using Weight Pruning

Enhanced Driver Drowsiness Detection Model Using Multi-Level Features Fusion and a Long-Short-Term Recurrent Neural Network

A prediction-based lossless image compression procedure using dimension reduction and Huffman coding

A compressed convolutional neural network model for rice yield detection at ripening stage using weight pruning

A Survey on Automated Code Evaluation Systems and Their Resources for Code Analysis

Neural collaborative filtering and autoencoder-enabled deep learning models for recommender systems

Exploring Automated Code Evaluation Systems and Resources for Code Analysis: A Comprehensive Survey

A Lightweight Deep Learning Model for Detecting Weeds in Corn and Soybean Using Quantization

Mohamed Hamada Information

University

Position

Professor of Computer Science

Citations(all)

1439

Citations(since 2020)

840

Cited By

1206

hIndex(all)

21

hIndex(since 2020)

14

i10Index(all)

56

i10Index(since 2020)

28

Email

University Profile Page

University of Aizu

Google Scholar

View Google Scholar Profile

Mohamed Hamada Skills & Research Interests

Artificial Intelligence

Learning Technologies

computer education

Top articles of Mohamed Hamada

Title

Journal

Author(s)

Publication Date

A Com-pressed Convolutional Neural Net-work (CNN) Model for Rice Yield Detection at Ripening Stage Using Weight Pruning

Eng. Proc

U Umar

M Hassan

M Hamada

H Kakudi

2023

Enhanced Driver Drowsiness Detection Model Using Multi-Level Features Fusion and a Long-Short-Term Recurrent Neural Network

Lawan Yusuf

Mohammed Hamada

Mohammed Hassan

Habeebah Kakudi

2023/10/31

A prediction-based lossless image compression procedure using dimension reduction and Huffman coding

Multimedia Tools and Applications

Md Atiqur Rahman

Mohamed Hamada

2023/1

A compressed convolutional neural network model for rice yield detection at ripening stage using weight pruning

Usman Umar

Mohammed Hassan

Mohamed Hamada

Habeebah Adamu

2023/10/31

A Survey on Automated Code Evaluation Systems and Their Resources for Code Analysis

Md Mostafizer Rahman

Yutaka Watanobe

Mohamed Hamada

2023/7/15

Neural collaborative filtering and autoencoder-enabled deep learning models for recommender systems

AIP Conference Proceedings

Arnold Kwofie

Mohamed Hamada

Rajesh Prasad

2023/11/28

Exploring Automated Code Evaluation Systems and Resources for Code Analysis: A Comprehensive Survey

Md Mostafizer Rahman

Yutaka Watanobe

Atsushi Shirafuji

Mohamed Hamada

2023/7/8

A Lightweight Deep Learning Model for Detecting Weeds in Corn and Soybean Using Quantization

Alex Aaron

Muhammad Hassan

Mohamed Hamada

Habiba Kakudi

2023/11/2

Analyzing the Trade-Off Between Complexity Measures, Ambiguity in Insertion System and Its Application in Natural Languages

Anand Mahendran

Kumar Kannan

Mohammed Hamada

2023/3/21

A Lightweight Deep Learning Model for Identifying Weeds in Corn and Soybean Using Quantization

Engineering Proceedings

Alex Aaron

Muhammad Hassan

Mohamed Hamada

Habiba Kakudi

2023/11/2

An integer wavelet transform based lossless image compression technique using arithmetic coding

Md Atiqur Rahman

Mohamed Hamada

Mohammad Ameer Ali

Md Faizul Ibne Amin

2022

Enhanced crow search algorithm for early detection of Parkinson's disease in physically challenged patients

International Journal of Entertainment Technology and Management

Raliya Abubakar

Mohamed Hamada

Mohammed Hassan

Saratu Yusuf Ilu

Jamilu Usman Waziri

2022

A Theoretical Framework Towards Building a Lightweight Model for Pothole Detection using Knowledge Distillation Approach

SHS Web of Conferences

Aminu Musa

Mohamed Hamada

Mohammed Hassan

2022

Low-power deep learning model for plant disease detection for smart-hydroponics using knowledge distillation techniques

Journal of Low Power Electronics and Applications

Aminu Musa

Mohammed Hassan

Mohamed Hamada

Farouq Aliyu

2022/4/26

A systematic review of machine learning techniques in online learning platforms

Alejandro Hernandez-Matheus

Markus Löschenbrand

Kjersti Berg

Ida Fuchs

Mònica Aragüés-Peñalba

...

2022/12/1

Investigating the Usefulness of Metric-based Prediction Method for Spreadsheet Fault Detection

SHS Web of Conferences

Musa Kunya

Mohamed Hamada

Mohammed Hassan

Saratu Yusuf Ilu

2022

Network Intrusion Detection System Using Deep Learning Method with KDD Cup'99 Dataset

Jesse Jeremiah Tanimu

Mohamed Hamada

Patience Robert

Anand Mahendran

2022/12/19

Machine Learning Method for Classification of Cervical Cancer. Electronics 2022, 11, 463

JJ Tanimu

M Hamada

M Hassan

HA Kakudi

JO Abiodun

2022

State-of-the-art survey on deep learning-based recommender systems for e-learning

Latifat Salau

Mohamed Hamada

Rajesh Prasad

Mohammed Hassan

Anand Mahendran

...

2022/11/24

A comparative analysis of the state-of-the-art lossless image compression techniques

SHS Web of Conferences

Atiqur Rahman

Mohamed Hamada

Asfaqur Rahman

2022

See List of Professors in Mohamed Hamada University(University of Aizu)