IIUM Repository

Dr. Raini Hassan

Computer Science

International Islamic University Malaysia

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Latest Additions

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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
  7. 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.
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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.
  17. 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
  18. 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
  19. 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
  20. Sami, Khan Nasik and Amin, Zian Md Afique and Hassan, Raini (2020) Waste management using machine learning and deep learning algorithms. International Journal on Perceptive and Cognitive Computing (IJPCC), 6 (2). pp. 97-106. 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 review911
2Development of classification methods for wheeze and crackle using mel frequency cepstral coefficient (MFCC): a deep learning approach813
3Input significance analysis: Feature selection through synaptic weights manipulation for EFuNNs classifier803
4Brain tumor MRI medical images classification with data augmentation by transfer learning of VGG16797
5Prediction of agricultural emissions in Malaysia using the arima, LSTM, and regression models759
6Input significance analysis: feature ranking through synaptic weights manipulation for ANNS-based classifiers728
7Brain and artificial intelligence: from the viewpoint of spontaneous and task-evoked brain dynamics722
8Prediction of the level of air pollution during wildfires using machine learning classification methods695
9Brain behavior analysis of mental stress before and after listening to Quranic recitation based on EEG signals689
10Online feature selection based on input significance analysis (ISA) for evolving connectionist systems (ECos)687
11Waste management using machine learning and deep learning algorithms675
12P300 ERP component on eating habits profiling using dynamic evolving spiking neural network (deSNN)672
13Health profiling using event-related potential (ERP) brain signals and spiking neural network (SNN)651
14Sea level anomaly and earthquake predictions: endangered countries prognostications650
15An approach of classifying waste using transfer learning method610
16The effects of COVID-19 in global warming through the application of data science540
17The application of business intelligence and analytics to drive better business outcomes in BSSB: a small tissue paper converting establishment424
18ML based solutions for greenhouse gas emission and impacts on leading countries: a preliminary work312
19The effects of COVID-19 in global warming through the application of data science307
20The application of data science on food waste problem: a preliminary work305
21Brain tumor MRI medical images classification model based on CNN (BTMIC-CNN)282
22The forecasting of poverty using the ensemble learning classification methods271
23A machine learning-based automated vehicle classification implementation on toll system in Malaysia: a preliminary study203
24Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case179
25Identifying and predicting Muslim’s community funeral funding protocols168
26A data-driven approach to unveiling mental health realities among undergraduate students at the International Islamic University Malaysia (IIUM) using machine learning: a case study43
27Investigating the relationship between social media usage duration and academic success among Muslim students using data science process30
28Automated Vehicle Classification (AVC) using machine learning implementation in Malaysia's toll system15