IIUM Repository

Dr. Raini Hassan

Computer Science

International Islamic University Malaysia

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Latest Additions

  1. 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
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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
  8. 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.
  9. 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
  10. 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
  11. 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
  12. Zamzuri, Muhammad Haziq Adli and Nadilah, Sofian and Hassan, Raini (2023) The forecasting of poverty using the ensemble learning classification methods. International Journal on Perceptive and Cognitive Computing (IJPCC), 9 (1). pp. 24-32. E-ISSN 2462-229X
  13. Rafia, Tasnim and Mahmood Hasan, Tanveer and Hassan, Raini (2022) The effects of COVID-19 in global warming through the application of data science. International Journal on Perceptive and Cognitive Computing (IJPCC), 8 (1). pp. 65-72. E-ISSN 2462-229X
  14. Abdul Jalil, Mohammad Khairi and Hassan, Raini (2022) The application of business intelligence and analytics to drive better business outcomes in BSSB: a small tissue paper converting establishment. International Journal on Perceptive and Cognitive Computing (IJPCC), 8 (2). pp. 43-55. E-ISSN 2462-229X
  15. Ahmed Yahya Al-Galal, Sabaa and Taha Alshaikhli, Imad Fakhri and Abdulrazzaq, M. M. and Hassan, Raini (2021) Brain tumor MRI medical images classification with data augmentation by transfer learning of VGG16. Journal of Engineering Science and Technology (JESTEC), Special Issue (6/2021). pp. 21-32. ISSN 1823-4690
  16. Silabdi, Hana and Hassan, Raini and Mahri, Nurhafizah and Md Nor, Norzaliza (2021) Brain behavior analysis of mental stress before and after listening to Quranic recitation based on EEG signals. International Journal on Perceptive and Cognitive Computing (IJPCC), 7 (1). pp. 59-65. E-ISSN 2462-229X
  17. Amin, Zian Md Afique and Khan, Nasik Sami and Hassan, Raini (2021) An approach of classifying waste using transfer learning method. International Journal on Perceptive and Cognitive Computing (IJPCC), 7 (1). pp. 41-52.
  18. Homaira, Maliha and Hassan, Raini (2021) Prediction of agricultural emissions in Malaysia using the arima, LSTM, and regression models. International Journal on Perceptive and Cognitive Computing (IJPCC), 7 (1). pp. 33-40. ISSN 2462-229X
  19. Khalid, Syed Mohammed and Hassan, Raini (2020) Prediction of the level of air pollution during wildfires using machine learning classification methods. International Journal on Perceptive and Cognitive Computing (IJPCC), 6 (2). pp. 115-123. E-ISSN 2462-229X
  20. Mohamed Sadi, Tinir and Hassan, Raini (2020) Development of classification methods for wheeze and crackle using mel frequency cepstral coefficient (MFCC): a deep learning approach. International Journal on Perceptive and Cognitive Computing (IJPCC), 6 (2). pp. 107-114. 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 review940
2Development of classification methods for wheeze and crackle using mel frequency cepstral coefficient (MFCC): a deep learning approach841
3Input significance analysis: Feature selection through synaptic weights manipulation for EFuNNs classifier829
4Brain tumor MRI medical images classification with data augmentation by transfer learning of VGG16815
5Prediction of agricultural emissions in Malaysia using the arima, LSTM, and regression models780
6Input significance analysis: feature ranking through synaptic weights manipulation for ANNS-based classifiers749
7Brain and artificial intelligence: from the viewpoint of spontaneous and task-evoked brain dynamics748
8Prediction of the level of air pollution during wildfires using machine learning classification methods721
9Brain behavior analysis of mental stress before and after listening to Quranic recitation based on EEG signals711
10Online feature selection based on input significance analysis (ISA) for evolving connectionist systems (ECos)707
11Waste management using machine learning and deep learning algorithms703
12P300 ERP component on eating habits profiling using dynamic evolving spiking neural network (deSNN)701
13Sea level anomaly and earthquake predictions: endangered countries prognostications677
14Health profiling using event-related potential (ERP) brain signals and spiking neural network (SNN)675
15An approach of classifying waste using transfer learning method640
16The effects of COVID-19 in global warming through the application of data science562
17The application of business intelligence and analytics to drive better business outcomes in BSSB: a small tissue paper converting establishment444
18The application of data science on food waste problem: a preliminary work340
19ML based solutions for greenhouse gas emission and impacts on leading countries: a preliminary work338
20The effects of COVID-19 in global warming through the application of data science334
21Brain tumor MRI medical images classification model based on CNN (BTMIC-CNN)304
22The forecasting of poverty using the ensemble learning classification methods297
23A machine learning-based automated vehicle classification implementation on toll system in Malaysia: a preliminary study231
24Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case205
25Identifying and predicting Muslim’s community funeral funding protocols186
26A data-driven approach to unveiling mental health realities among undergraduate students at the International Islamic University Malaysia (IIUM) using machine learning: a case study116
27Investigating the relationship between social media usage duration and academic success among Muslim students using data science process113
28Automated Vehicle Classification (AVC) using machine learning implementation in Malaysia's toll system86
29Predictive analytics for sustainable tourism development: a data-driven approach15