IIUM Repository

Dr. Raini Hassan

Computer Science

International Islamic University Malaysia

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Latest Additions

  1. 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.
  2. 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
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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
  9. 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.
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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.
  19. 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
  20. 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

Most Viewed Items

Item titleViews
1Preventive and curative personality profiling based on EEG, ERP, and big five personality traits: a literature review1014
2Development of classification methods for wheeze and crackle using mel frequency cepstral coefficient (MFCC): a deep learning approach911
3Input significance analysis: Feature selection through synaptic weights manipulation for EFuNNs classifier899
4Brain tumor MRI medical images classification with data augmentation by transfer learning of VGG16888
5Prediction of agricultural emissions in Malaysia using the arima, LSTM, and regression models854
6Brain and artificial intelligence: from the viewpoint of spontaneous and task-evoked brain dynamics821
7Input significance analysis: feature ranking through synaptic weights manipulation for ANNS-based classifiers811
8Prediction of the level of air pollution during wildfires using machine learning classification methods800
9Waste management using machine learning and deep learning algorithms791
10Brain behavior analysis of mental stress before and after listening to Quranic recitation based on EEG signals781
11Online feature selection based on input significance analysis (ISA) for evolving connectionist systems (ECos)769
12P300 ERP component on eating habits profiling using dynamic evolving spiking neural network (deSNN)767
13Sea level anomaly and earthquake predictions: endangered countries prognostications761
14Health profiling using event-related potential (ERP) brain signals and spiking neural network (SNN)748
15An approach of classifying waste using transfer learning method710
16The effects of COVID-19 in global warming through the application of data science627
17The application of business intelligence and analytics to drive better business outcomes in BSSB: a small tissue paper converting establishment519
18ML based solutions for greenhouse gas emission and impacts on leading countries: a preliminary work407
19The application of data science on food waste problem: a preliminary work404
20The effects of COVID-19 in global warming through the application of data science400
21Brain tumor MRI medical images classification model based on CNN (BTMIC-CNN)373
22The forecasting of poverty using the ensemble learning classification methods362
23A machine learning-based automated vehicle classification implementation on toll system in Malaysia: a preliminary study302
24Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case278
25Identifying and predicting Muslim’s community funeral funding protocols254
26A data-driven approach to unveiling mental health realities among undergraduate students at the International Islamic University Malaysia (IIUM) using machine learning: a case study215
27Investigating the relationship between social media usage duration and academic success among Muslim students using data science process195
28Automated Vehicle Classification (AVC) using machine learning implementation in Malaysia's toll system165
29Predictive analytics for sustainable tourism development: a data-driven approach88
30Enhanced EEGNet optimization using lightweight Deep Neural Network for detecting human stress levels from Raw EEG signals dataset8