IIUM Repository

Dr. Raini Hassan

Computer Science

International Islamic University Malaysia

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Latest Additions

  1. Hassan, Raini and Mohd Naufal, Akmal Nazim and Abdullah Salim, Imran Hazim (2025) Cybersense: chrome extension for real-time cyberbullying detection. In: Advancement in ICT: Exploring Innovative Solutions (AdICT). KICT Publishing, Kuala Lumpur, Malaysia, pp. 76-82.
  2. Schigdar, Ahmad and Zaman, Nafees and Hassan, Raini (2019) GIS mapping and shortest-path algorithm for drone-aided flood rescue operations. In: National Invention and Invention Competition 2019 (NIICe 2019), 2019, Batu Pahat, Johor.
  3. Saif Utsha, Abid Ebna and Noman, Mahfuzealahi and Hassan, Raini (2019) Sea level anomaly and earthquake predictions: endangered countries prognostications. In: National Innovation and Invention Competition 2019 (NIICe 2019), 2019, Batu Pahat, Johor.
  4. Noor, Ubair and Hassan, Raini and Dwi Handayani, Dini Oktarina (2025) The conceptual framework of knowledge of large scale and incomplete graphs of skyline queries optimization using machine learning. In: 9th International Conference on Engineering Technologies and Applied Sciences (ICETAS 2024), 25th August 2025, University of Technology Bahrain, Kingdom of Bahrain.
  5. Adzman, Hasan Khair and Hassan, Raini and Handayani, Dini Oktarina Dwi (2025) Enhancing skyline query processing on large and incomplete graphs with graph neural networks: a hybrid machine learning approach. International Journal on Perceptive and Cognitive Computing (IJPCC), 11 (2). pp. 162-172. E-ISSN 2462-229X
  6. Noor, Ubair and Hassan, Raini and Dwi Handayani, Dini Oktarina (2025) Efficient skyline query processing in incomplete graph databases using machine learning techniques. International Journal on Perceptive and Cognitive Computing, 11 (2). pp. 146-161. E-ISSN 2462-229X
  7. Muhamad Suwaid, Muhammad Aiman Haris and Ab Karim, Muhammad ‘Ilyas Amierrullah and Hassan, Raini and Abdul Aziz, Azni (2025) Automated classification of celestial objects using machine learning. International Journal on Perceptive and Cognitive Computing, 11 (2). pp. 22-41. E-ISSN 2462-229X
  8. Silabdi, Hana and Hassan, Raini and Faizabadi, Ahmed Rimaz and Gubbi, Abdullah and Bellary, Mohammed Zakir and M, Afsar Baig (2025) Leveraging EEG and Signal-to-Noise Ratio augmentation for advanced stress detection. In: 2025 4th International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), 25 - 26 April 2025, Ballari.
  9. Silabdi, Hana and Hassan, Raini and Faizabadi, Ahmed Rimaz and Gubbi, Abdullah and Bellary, Mohammed Zakir and Manjula, V (2025) Enhanced EEGNet optimization using lightweight Deep Neural Network for detecting human stress levels from Raw EEG signals dataset. In: 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India.
  10. Abdul Mohaimin, Irfan Qayyim and Mohd Marzuki, Aida Najihah and Hassan, Raini (2025) Predictive analytics for sustainable tourism development: a data-driven approach. International Journal on Perceptive and Cognitive Computing, 11 (1). pp. 135-147. E-ISSN 2462-229X
  11. Hassan, Raini and Mohd Ridzal, Aisyah Afiqah and Fadzleey, Nur Zulfah Insyirah (2024) Automated Vehicle Classification (AVC) using machine learning implementation in Malaysia's toll system. In: Final Year Project Competition & Exhibition (I-CPEX) 2023. Universiti Kuala Lumpur Publishing, Kuala Lumpur, pp. 92-96.
  12. Ali Hassan, Ahmed Ramadan and Hassan, Raini (2024) Investigating the relationship between social media usage duration and academic success among Muslim students using data science process. In: Advancement in ICT: Exploring Innovative Solutions (AdICT). KICT Publishing, pp. 95-100.
  13. Safuan, Nurfadzlina and Anuar Kamal, Adriana and Hassan, Raini (2024) A data-driven approach to unveiling mental health realities among undergraduate students at the International Islamic University Malaysia (IIUM) using machine learning: a case study. In: Advancement in ICT: Exploring Innovative Solutions (AdICT). KICT Publishing, pp. 80-88.
  14. Hassan, Raini and Fadzleey, Nur Zulfah Insyirah and Ab Hamid, Annesa Maisarah and Abd Aziz, Rabiatul Adawiyah and Jamalullain, Afiefah and Syaiful 'Adli, Fatin Syafiqah (2024) Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case. In: Advancement in ICT: Exploring Innovative Solutions (AdICT) Series 1/2024. KICT Publishing, Kuala Lumpur, Malaysia, pp. 43-56.
  15. Hassan, Raini and Mohd Ridzal, Aisyah Afiqah and Fadzleey, Nur Zulfah Insyirah (2024) A machine learning-based automated vehicle classification implementation on toll system in Malaysia: a preliminary study. In: Advancement in ICT: Exploring Innovative Solutions (AdICT) Series 1/2024. KICT Publishing, Kuala Lumpur, Malaysia, pp. 16-35.
  16. Ibrahim, Izzul Ismail and M Ashhuri, Muhammad Hassan and Hassan, Raini (2024) Identifying and predicting Muslim’s community funeral funding protocols. International Journal on Perceptive and Cognitive Computing (IJPCC), 10 (1). pp. 1-7. E-ISSN 2462-229X
  17. Rafia, Tasnim and Mahmood Hasan, Tanveer and Hassan, Raini (2022) The effects of COVID-19 in global warming through the application of data science. In: International Final Year Project Competition and Exhibition (ICPEX) 2022, 21st - 31st October 2022, Virtual.
  18. Al-Galal, Sabaa Ahmed Yahya and Alshaikhli, Imad Fakhri Taha and Abdulrazzaq, M. M. and Hassan, Raini (2022) Brain tumor MRI medical images classification model based on CNN (BTMIC-CNN). Journal of Engineering Science and Technology, 17 (6). pp. 4410-4432. ISSN 1823-4690
  19. Al Faied, Saif and Islam, Mahin and Hassan, Raini (2023) ML based solutions for greenhouse gas emission and impacts on leading countries: a preliminary work. International Journal on Perceptive and Cognitive Computing (IJPCC), 9 (1). pp. 64-69. E-ISSN 2462-229X
  20. Ramlan, Amir Syazwan and Mohamad Dzain, Iman Zulhakim and Hassan, Raini (2023) The application of data science on food waste problem: a preliminary work. International Journal on Perceptive and Cognitive Computing (IJPCC), 9 (1). pp. 56-63. E-ISSN 2462-229X

Most Viewed Items

Item titleViews
1Preventive and curative personality profiling based on EEG, ERP, and big five personality traits: a literature review1212
2Input significance analysis: Feature selection through synaptic weights manipulation for EFuNNs classifier1182
3Development of classification methods for wheeze and crackle using mel frequency cepstral coefficient (MFCC): a deep learning approach1152
4Brain behavior analysis of mental stress before and after listening to Quranic recitation based on EEG signals1149
5Brain tumor MRI medical images classification with data augmentation by transfer learning of VGG161095
6Input significance analysis: feature ranking through synaptic weights manipulation for ANNS-based classifiers1064
7Prediction of agricultural emissions in Malaysia using the arima, LSTM, and regression models1053
8Prediction of the level of air pollution during wildfires using machine learning classification methods1026
9Brain and artificial intelligence: from the viewpoint of spontaneous and task-evoked brain dynamics1019
10Waste management using machine learning and deep learning algorithms996
11P300 ERP component on eating habits profiling using dynamic evolving spiking neural network (deSNN)987
12Sea level anomaly and earthquake predictions: endangered countries prognostications983
13An approach of classifying waste using transfer learning method944
14Online feature selection based on input significance analysis (ISA) for evolving connectionist systems (ECos)936
15Health profiling using event-related potential (ERP) brain signals and spiking neural network (SNN)936
16The effects of COVID-19 in global warming through the application of data science814
17The application of business intelligence and analytics to drive better business outcomes in BSSB: a small tissue paper converting establishment777
18The effects of COVID-19 in global warming through the application of data science644
19The application of data science on food waste problem: a preliminary work608
20The forecasting of poverty using the ensemble learning classification methods587
21ML based solutions for greenhouse gas emission and impacts on leading countries: a preliminary work587
22Brain tumor MRI medical images classification model based on CNN (BTMIC-CNN)581
23A machine learning-based automated vehicle classification implementation on toll system in Malaysia: a preliminary study536
24Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case480
25Identifying and predicting Muslim’s community funeral funding protocols444
26A data-driven approach to unveiling mental health realities among undergraduate students at the International Islamic University Malaysia (IIUM) using machine learning: a case study424
27Investigating the relationship between social media usage duration and academic success among Muslim students using data science process409
28Automated Vehicle Classification (AVC) using machine learning implementation in Malaysia's toll system407
29Predictive analytics for sustainable tourism development: a data-driven approach281
30Enhanced EEGNet optimization using lightweight Deep Neural Network for detecting human stress levels from Raw EEG signals dataset261