Data Fusion for Face Recognition. - Jamal Ahmad Dargham; Ali Chekima; Ervin Gubin Moung; Sigeru Omatu 001 (DCAI, 2010)

Radon transform for face recognition. - Jamal Ahmad Dargham; Ali Chekima; Ervin Gubin Moung; Sigeru Omatu 001 (Artif. Life Robotics, 2010)

Fusing Facial Features for Face Recognition. - Jamal Ahmad Dargham; Ali Chekima; Ervin Gubin Moung (Int. J. Interact. Multim. Artif. Intell., 2012)

The Effect of Training Data Selection on Face Recognition in Surveillance Application. - Jamal Ahmad Dargham; Ali Chekima; Ervin Gubin Moung; Segiru Omatu 001 (DCAI, 2015)

A Comparison of the YCBCR Color Space with Gray Scale for Face Recognition for Surveillance Applications. - Jamal Ahmad Dargham; Ali Chekima; Ervin Gubin Moung; Segiru Omatu 001 (DCAI, 2016)

Comparison of Bit Error Rate Performance for CDMA Systems in Different Fading and AWGN Channels. - Ali Farzamnia; Muralindran Mariappan; Ramanan Thangasalvam; Ervin Gubin Moung (IICAIET, 2018)

Cooperative Network Coding for International Mobile Telecommunications. - Ali Farzamnia; San Chin Yit; Manas Kumar Haldar; Ervin Gubin Moung (IICAIET, 2018)

Network Coded MIMO Cooperative Communications for the Emergency Area. - Ali Farzamnia; Lee Wan Hua; Ervin Gubin Moung (Wirel. Pers. Commun., 2019)

Efficient Cellular Network with Network Coding in Disaster Area. - Ali Farzamnia; Ling Hui Zhen; Ervin Gubin Moung (Wirel. Pers. Commun., 2019)

Estimating the Number of Cameras Required for a Given Classroom for Face-based Smart Attendance System. - Jamal Ahmad Dargham; Ali Chekima; Ervin Gubin Moung; Hock Tze Wong; Seng Kheau Chung (IICAIET, 2020)

A Non-cooperative Uplink Power Control for CDMA Wireless Communication System. - Ali Farzamnia; Eng Soo Yew; Ervin Gubin Moung (Wirel. Pers. Commun., 2020)

Fusion of Moment Invariant Method and Deep Learning Algorithm for COVID-19 Classification. - Ervin Gubin Moung; Chong Joon Hou; Maisarah Mohd Sufian; Mohd. Hanafi Ahmad Hijazi; Jamal Ahmad Dargham; Sigeru Omatu 001 (Big Data Cogn. Comput., 2021)

Indigenous Food Recognition Model Based on Various Convolutional Neural Network Architectures for Gastronomic Tourism Business Analytics. - Mohd Norhisham Razali; Ervin Gubin Moung; Farashazillah Yahya; Chong Joon Hou; Rozita Hanapi; Raihani Mohamed; Ibrahim Abaker Targio Hashem (Inf., 2021)

Internet-of-Things for Smart Dryers: Enablers, State of the arts, Challenges, and Solutions. - Mohd Khairulanwar Rizalman; Ervin Gubin Moung; Jamal Ahmad Dargham; Zuhair Jamain; Nurul'azah Mohd Yaakub; Sigeru Omatu 001 (IICAIET, 2022)

Pre-trained Deep Learning Models for COVID19 Classification: CNNs vs. Vision Transformer. - Maisarah Mohd Sufian; Ervin Gubin Moung; Jamal Ahmad Dargham; Farashazillah Yahya; Sigeru Omatu 001 (IICAIET, 2022)

A Comparison of RGB and RGNIR Color Spaces for Plastic Waste Detection Using The YOLOv5 Architecture. - Owen Tamin; Ervin Gubin Moung; Jamal Ahmad Dargham; Farashazillah Yahya; Sigeru Omatu 001; Lorita Angeline (IICAIET, 2022)

Travel-Time Estimation by Cubic Hermite Curve. - Owen Tamin; Badrul Ikram; Ahmad Lutfi Amri Ramli; Ervin Gubin Moung; Christie Pei-Yee Chin (Inf., 2022)

An Overview for Computer-Assisted Automated Spinal Scoliosis Measurement. - Aishu Xie; Ervin Gubin Moung (ICEITSA, 2023)

Data Augmentation Approach for Language Identification in Imbalanced Bilingual Code-Mixed Social Media Datasets. - Mohd Suhairi Md Suhaimin; Mohd. Hanafi Ahmad Hijazi; Ervin Gubin Moung; Mohd Azwan Mohamad Hamza (IICAIET, 2023)

Advancing Weed Detection in Agricultural Landscapes Using Computer Vision. - Bei Ren Tan; Ervin Gubin Moung; Muhd. Nur Afnan Uda; Kenneth Tze Kin Teo; Lorita Angeline (IICAIET, 2023)

MRI Brain Tumor Detection Methods Using Contourlet Transform Based on Time Adaptive Self-Organizing Map. - Ali Farzamnia; Seyed Hamidreza Hazaveh; Seyede Safieh Siadat; Ervin Gubin Moung (IEEE Access, 2023)

On-Shore Plastic Waste Detection with YOLOv5 and RGB-Near-Infrared Fusion: A State-of-the-Art Solution for Accurate and Efficient Environmental Monitoring. - Owen Tamin; Ervin Gubin Moung; Jamal Ahmad Dargham; Farashazillah Yahya; Ali Farzamnia; Florence Sia; Nur Faraha Mohd Naim; Lorita Angeline (Big Data Cogn. Comput., 2023)

COVID-19 Classification through Deep Learning Models with Three-Channel Grayscale CT Images. - Maisarah Mohd Sufian; Ervin Gubin Moung; Mohd. Hanafi Ahmad Hijazi; Farashazillah Yahya; Jamal Ahmad Dargham; Ali Farzamnia; Florence Sia; Nur Faraha Mohd Naim (Big Data Cogn. Comput., 2023)

Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions. - Mohd Suhairi Md Suhaimin; Mohd. Hanafi Ahmad Hijazi; Ervin Gubin Moung; Puteri Nor Ellyza binti Nohuddin; Stephanie Chua; Frans Coenen (J. King Saud Univ. Comput. Inf. Sci., 2023)

Corrigendum to "Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions" [J. King Saud Univ. - Comput. Inform. Sci. 35(9) (2023) 101776]. - Mohd Suhairi Md Suhaimin; Mohd. Hanafi Ahmad Hijazi; Ervin Gubin Moung; Puteri Nor Ellyza binti Nohuddin; Stephanie Chua; Frans Coenen (J. King Saud Univ. Comput. Inf. Sci., 2024)

User Identification and Verification based on Auditory Evoked Potentials Using CNN. - Vida Ghalami; Tohid Yousefi Rezaii; Mohammad Ali Tinati; Ali Farzamnia; Azam Khalili; Amir Rastegarnia; Ervin Gubin Moung (Circuits Syst. Signal Process., 2025)