IIUM Repository

Amelia Ritahani Ismail

KULLIYYAH OF INFORMATION AND COMMUNICATION TECHNOLOGY

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Latest Additions

  1. Ismail, Amelia Ritahani and Zainol, Zuraini (2025) The role of big data in transforming communities and shaping the future. In: Technology for Societal Transformation: Exploring the Intersection of Information Technology and Societal Development. Springer Nature Singapore, Singapore, pp. 195-204. ISBN 978-981-96-1720-3
  2. Zainol, Zuraini and Ismail, Amelia Ritahani and Nohuddin, Puteri Nor Ellyza and Sulaiman, Riza (2025) Exploring election prediction outcomes on social media data using machine learning algorithms. In: Technology for Societal Transformation: Exploring the Intersection of Information Technology and Societal Development. Springer, Singapore, pp. 121-130. ISBN 978-981-96-1720-3
  3. Ismail, Amelia Ritahani and Azhary, Muhammad Zulhazmi Rafiqi and Hitam, Nor Azizah (2025) Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning. In: International Symposium on Intelligent Computing Systems, November 6–7, 2024, Sharjah, United Arab Emirates, November 6–7, 2024, Proceedings Conference proceedings.
  4. Ismail, Amelia Ritahani and Sadman Taseen, Md Salim (2024) Deep learning approach for dental anomalies X-ray imaging using YOLOv8. Knowledge Engineering and Data Science (KEDS), 7 (2). pp. 164-175. E-ISSN 2597-4637
  5. Tanjim, MST Mobasshira Sadia and Moinuddin, Suhaina and Ismail, Amelia Ritahani (2025) A study on the classification of brain MRI images for brain tumor detection. International Journal on Perceptive and Cognitive Computing (IJPCC), 11 (1). pp. 154-161. E-ISSN 2462-229X
  6. Ismail, Amelia Ritahani (2024) Enhancing engagement with DataCamp Classrooms: transforming online learning experiences. KICT TALE.
  7. Ismail, Amelia Ritahani and Nisa, Syed Qamrun and Shaharuddin, Shahida Adila and Masni, Syahmi Irdina and Suharudin Amin, Syaza Athirah (2024) Utilising VGG-16 of convolutional neural network for medical image classification. International Journal on Perceptive and Cognitive Computing (IJPCC), 10 (1). pp. 113-118. E-ISSN 2462-229X
  8. Azhary, Muhammad Zulhazmi Rafiqi and Ismail, Amelia Ritahani (2024) A comparative performance of different convolutional neural network activation functions on image classification. International Journal on Perceptive and Cognitive Computing (IJPCC), 10 (2). pp. 118-122. E-ISSN 2462-229X
  9. Ismail, Amelia Ritahani and Azhary, Muhammad Zulhazmi Rafiqi and Noor Azwan, Nor Aiman Zaharin and Ismail, Ahsiah and Alsaiari, Nisrin Amer (2024) Performance evaluation of medical image denoising using convolutional autoencoders. In: 2024 3rd International Conference on Creative Communication and Innovative Technology (ICCIT), 7 Agust 2024, IIUM, Kuala Lumpur.
  10. Ismail, Amelia Ritahani and Aminuddin, Amira Shazleen and Nurul, Afiqa and Zakaria, Noor Azura (2024) A fine-tuned large language model for domain-specific with reinforcement learning. In: 2024 3rd International Conference on Creative Communication and Innovative Technology (ICCIT), 7 Agust 2024, IIUM, Kuala Lumpur.
  11. Zainal Abidin, Nadzurah and Ismail, Amelia Ritahani and Amir Hussin, Amir 'Aatieff and Shafie, Muhammad Laziem and Muhamad Ridzuan, Aishah Nabilah (2024) Deep learning generative adversarial network model for automated detection of diabetic retinopathy. In: 16th International Engineering and Computing Research Conference (EURECA), 24th November 2021, Subang Jaya, Selangor, Malaysia.
  12. Abdullah, Ahmad Zarir and Bashar, Saad and Ismail, Amelia Ritahani (2020) Automated image captioning with deep neural networks. Science in Information Technology Letters, 1 (1). ISSN 2722-4139
  13. Ismail, Amelia Ritahani and Nisa, Syed Qamrun (2023) Comparison of U-net’s variants for segmentation of polyp images. International Journal on Perceptive and Cognitive Computing (IJPCC), 9 (2). pp. 93-97. E-ISSN 2462-229X
  14. Ismail, Amelia Ritahani and Mohd Khalili, Aisyah Saidah and Rahim, Nur Farah Adilah and Nisa, Syed Qamrun (2023) Deep convolutional generative adversarial networks for imbalance medical image classification. International Journal on Perceptive and Cognitive Computing (IJPCC), 9 (2). pp. 98-103. E-ISSN 2462-229X
  15. Mat Ariff, Noor Azwana and Ismail, Amelia Ritahani and Abdul Aziz, Normaziah (2021) Comparative performance of Convolutional Neural Networks Architecture for face biometric authentication system. In: IEEE 8th International Conference on Computing, Engineering and Design (ICCED), 28-28 July 2022, Sukabumi, Indonesia.
  16. Zainal Abidin, Nadzurah and Ismail, Amelia Ritahani (2022) Federated deep learning for automated detection of diabetic retinopathy. In: IEEE 8th International Conference on Computing, Engineering and Design (ICCED), 28-29 July 2022, Sukabumi, Indonesia.
  17. Mohd Khalid, Nur Hidayah and Ismail, Amelia Ritahani and Abdul Aziz, Normaziah and Amir Hussin, Amir 'Aatieff (2023) Performance comparison of feature selection methods for prediction in medical data. In: 7th International Conference on Soft Computing in Data Science, SCDS 2023, 24-25 January 2023, Virtual Event.
  18. Shahrul Munir, Mohamad Faiq Mohd and Bustamam, Muhammad Amiruddin and Ismail, Amelia Ritahani and Md Yusof, Norlia and Amir Hussin, Amir 'Aatieff (2023) Real-time automated road damages inspection using deep convolutional neural networks. International Journal on Perceptive and Cognitive Computing (IJPCC), 9 (1). pp. 122-127. E-ISSN 2462-229X
  19. Alamoodi, Abdullah Hussein and Albahri, O. S. and Zaidan, A. A. and Alsattar, Hassan A. and Zaidan, Bilal Bahaa and Albahri, A. S. and Ismail, Amelia Ritahani and Kou, Gang and Alzubaidi, Laith and Talal, Mohammed (2023) Intelligent emotion and sensory remote prioritisation for patients with multiple chronic diseases. Sensors, 23 (4). pp. 1-14. ISSN 1424-8220
  20. Alamoodi, A. H. and Zaidan, B. B. and Albahri, O. S. and Garfan, Salem Abullah and Ahmaro, Ibraheem Y. Y. and Mohammed, R. T. and Zaidan, A. A. and Ismail, Amelia Ritahani and Albahri, A. S. and Momani, Fayiz and Al-Samarraay, Mohammed S. and Jasim, Ali Najm and Malik, R.Q. (2023) Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions. Complex & Intelligent Systems. pp. 4705-4731. E-ISSN 2198-6053

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4Prediction of monthly rainfall at Senai, Johor using artificial immune system and deep learning neural network1158
5Customer relationship management approach for MyFamily system: a framework1144
6Comparison of swarm intelligence algorithms for high dimensional optimization problems1138
7An artifical immune systems for robot organisms1136
8Towards self-healing swarm robotics systems inspired by granuloma formating1117
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11A review of wastewater treatment plant modelling: Revolution on modelling technology1091
12Bio-engineered solution in enhancement of septic sludge with artificial immune system1090
13Convolutional neural networks and deep belief networks for analysing imbalanced class issue in handwritten dataset1084
14A clonal selection algorithm model for daily rainfall data prediction1073
15Prediction analysis of effluent removal in a septic sludge treatment plant: a biomimetics engineering approach1069
16Simulating the immune inspired energy charging mechanism for swarm robotic systems1056
17Performance analysis of machine learning algorithms for missing value imputation1050
18Mobile robot path optimization algorithm using vector calculus and mapping of 2 dimensional space1049
19Exploring imbalanced class issue in handwritten dataset using convolutional neural networks and deep belief networks1047
20A particle swarm optimization levy flight algorithm for imputation of missing creatinine dataset1044
21Comparative performance of deep learning and machine learning algorithms on imbalanced handwritten data1043
22The influence of sentiments in digital currency prediction using hybrid sentiment-based Support Vector Machine with Whale Optimization Algorithm (SVMWOA)1038
23Medical image analysis using deep learning: a review1036
24An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for cryptocurrency forecasting1035
25An artificial immune system for self-healing in swarm robotic systems1032
26Evolutionary deep belief networks with bootstrap sampling for imbalanced class datasets1029
27Monthly rainfall prediction model of Peninsular Malaysia using clonal selection algorithm1028
28Agent based modeling and simulation of granuloma formation for the development of energy charging mechanism in Swarm Robots1028
29Imperceptibility Analysis for Watermarking Technique Based on Image Block Division Scheme1028
30Improved particle swarm optimization by fast annealing algorithm1027