Mohd Nizam Husen, PhD

Mohd Nizam Husen, PhD

Universiti Kuala Lumpur

H-index: 15

Asia-Malaysia

About Mohd Nizam Husen, PhD

Mohd Nizam Husen, PhD, With an exceptional h-index of 15 and a recent h-index of 12 (since 2020), a distinguished researcher at Universiti Kuala Lumpur, specializes in the field of Indoor Localization, Pattern Recognition, Human-Robot Interaction, Visual Attention, Artificial Intelligence.

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

CTHTC: A Hybrid Architecture for Temporal Knowledge Graph Completion

The effect on the integration of local wisdom in physics educational applications: A review

Dynamic micro-cluster-based streaming data clustering method for anomaly detection

The Effect of Portable Laboratory Integrated with Local Wisdom (PL-ILW) for Physics Learning

The effectiveness of making a portable laboratory integrated with local wisdom using a project-based learning approach to improve student learning outcomes

Evolving anomaly detection for network streaming data

A structured and methodological review on vision-based hand gesture recognition system

A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network

Mohd Nizam Husen, PhD Information

University

Position

(UniKL MIIT) Sungkyunkwan University

Citations(all)

779

Citations(since 2020)

571

Cited By

320

hIndex(all)

15

hIndex(since 2020)

12

i10Index(all)

23

i10Index(since 2020)

20

Email

University Profile Page

Universiti Kuala Lumpur

Google Scholar

View Google Scholar Profile

Mohd Nizam Husen, PhD Skills & Research Interests

Indoor Localization

Pattern Recognition

Human-Robot Interaction

Visual Attention

Artificial Intelligence

Top articles of Mohd Nizam Husen, PhD

Title

Journal

Author(s)

Publication Date

CTHTC: A Hybrid Architecture for Temporal Knowledge Graph Completion

Xinyuan Chen

Mohd Nizam Husen

Zhongmei Zhou

2024/1/3

The effect on the integration of local wisdom in physics educational applications: A review

Rudi Susanto

Mohd Nizam Husen

Adidah Lajis

2023/6/14

Dynamic micro-cluster-based streaming data clustering method for anomaly detection

Xiaolan Wang

Md Manjur Ahmed

Mohd Nizam Husen

Hai Tao

Qian Zhao

2023/1/24

The Effect of Portable Laboratory Integrated with Local Wisdom (PL-ILW) for Physics Learning

Rudi Susanto

Mohd Nizam Husen

Adidah Lajis

2023/1/3

The effectiveness of making a portable laboratory integrated with local wisdom using a project-based learning approach to improve student learning outcomes

AIP Conference Proceedings

Rudi Susanto

Mohd Nizam Husen

Adidah Lajis

Wiji Lestari

Herliyani Hasanah

2023/6/14

Evolving anomaly detection for network streaming data

Information Sciences

Wang Xiaolan

Md Manjur Ahmed

Mohd Nizam Husen

Zhao Qian

Samir Brahim Belhaouari

2022/8/1

A structured and methodological review on vision-based hand gesture recognition system

Fahmid Al Farid

Noramiza Hashim

Junaidi Abdullah

Md Roman Bhuiyan

Wan Noor Shahida Mohd Isa

...

2022/5/26

A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network

PeerJ Computer Science

Md Roman Bhuiyan

Junaidi Abdullah

Noramiza Hashim

Fahmid Al Farid

Mohammad Ahsanul Haque

...

2022/3/25

The Product Development of Portable Laboratory Integrated with Local Wisdom (PL-ILW) by Undergraduate Student

Rudi Susanto

Mohd Nizam Husen

Adidah Lajis

2022/1/3

Knowledge representation combining quaternion path integration and depth-wise atrous circular convolution

Xinyuan Chen

Zhongmei Zhou

Meichun Gao

Daya Shi

Mohd N Husen

2022/8/17

A conceptual framework for an integrated healthcare information systems from an organizational perspective

Abdulaziz Aborujiah

Abubaker-Eseddig Fath Mahmoud Elsebaie

Shamsul Anuar Mokhtar

Zalizah Awang Long

Shafiza Mohd Shariff

...

2022/1/3

Multimodal hybrid deep learning approach to detect tomato leaf disease using attention based dilated convolution feature extractor with logistic regression classification

Sensors

Md Shofiqul Islam

Sunjida Sultana

Fahmid Al Farid

Md Nahidul Islam

Mamunur Rashid

...

2022/8/14

A Portable Laboratory with Integrated Local Wisdom for Physics Education Based on Lecturer and Student Perceptions

Malaysian Journal of Computer Science

Rudi Susanto

Mohd Nizam Husen

Adidah Lajis

2021/12/17

SMOTE-Based Framework for IoT Botnet Attack Detection

Abdulaziz Aborujilah

Rasheed Mohammad Nassr

AbdulAleem Al-Othmani

Nor Azlina Ali

Zalizah Awang Long

...

2021

Recommending research articles: a multi-level chronological learning-based approach using unsupervised keyphrase extraction and lexical similarity calculation

IEEE Access

Talha Bin Sarwar

Noorhuzaimi Mohd Noor

M Saef Ullah Miah

Mamunur Rashid

Fahmid Al Farid

...

2021/11/30

A Comparison of ML and DL Approaches for Crowd Analysis on the Hajj Pilgrimage

Muhammad Nur Hakim Bin Zamri

Junaidi Abdullah

Roman Bhuiyan

Noramiza Hashim

Fahmid Al Farid

...

2021/11/16

Post acceptance model for online teleconsultation services: An empirical study in Malaysia

International journal of electrical and computer engineering systems

Abdulaziz Aborujiah

Rasheed Mohammad Nassr

Abdulaleem Al-Othmani

Zalizah Awang Long

Mohd Nizam Husen

2021/11/2

Clustering of student perceptions on developing a physics laboratory based on information technology and local wisdom

Rudi Susanto

Mohd Nizam Husen

Adidah Lajis

Wiji Lestari

Herliyani Hasanah

2021/9/23

Research issues & state of the art challenges in event detection

Md Nazmus Saadat

Hasibul Kabir

Muhammad Shuaib

Rasheed Mohammad Nassr

Mohd Nizam Husen

...

2021/1/4

Security assessment model to analysis DOS attacks in WSN

Abdulaziz Aborujilah

Rasheed Mohammad Nassr

Tawfik Al-Hadhrami

Mohd Nizam Husen

Nor Azlina Ali

...

2020

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