IOSR-JEF   Volume-16 ~ Issue-2 ~ Mar. – Apr. 2025

[1] Enhanced Brain Tumor Classifcation Using Graph Convolutional Neural Network Architecture M. Ravinder1 , Garima Saluja1 , Sarahallabun2 , Mohammed S.Alqahtani3,4, Mohamedabbas5 , Manal Othman2 – 2023
[2] Brain Tumor Classification Using Convolutional Neural Networks J. Seetha1 And S. Selvakumar Raja2 1 Research Scholar, Department Of Computer Science And Engineering, Sathyabama University Chennai, India. Http://Dx.Doi.Org/10.13005/Bpj/1511 (Received: 26 June 2018; Accepted: 13 September 2018)
[3] An Efficient Brain Tumor Detection And Classification Using Pre-Trained Convolutional Neural Network Models K. Nishanth Rao A, Osamah Ibrahim Khalaf B, V. Krishnasree C, Aruru Sai Kumar C,∗ , Deema Mohammed Alsekait D,∗ , S. Siva Priyanka E, Ahmed Saleh Alattasf , Diaa Salama Abdelminaam. Received 27 December 2023; Received In Revised Form 21 August 2024; Accepted 22 August 2024
[4] Graph Neural Networks: A Review Of Methods And Applications Jie Zhou A,1 , Ganqu Cui A,1 , Shengding Hu A , Zhengyan Zhang A , Cheng Yang B , Zhiyuan Liu A,* , Lifeng Wang C , Changcheng Li C , Maosong Sun A Received 16 September 2020; Received In Revised Form 15 December 2020; Accepted 27 January 2021
[5] Khemani Et Al. Journal Of Big Data (2024) 11:18 Journal Of Big Data A Review Of Graph Neural Networks: Concepts, Architectures, Techniques, Challenges, Datasets, Applications, And Future Directions Bharti Khemani1 , Shruti Patil2*, Ketan Kotecha2 And Sudeep Tanwar3

[1] Azad, P., Akcora, C. G., & Khan, A. (2024). Machine Learning For Blockchain Data Analysis: Progress And Opportunities (No. Arxiv:2404.18251). Arxiv. Https://Doi.Org/10.48550/Arxiv.2404.18251
[2] Chen, S., Gao, T., He, Y., & Jin, Y. (2019). Predicting The Stock Price Movement By Social Media Analysis. Journal Of Data Analysis And Information Processing, 07(04), 295–305. Https://Doi.Org/10.4236/Jdaip.2019.74017
[3] Chung, J., Gulcehre, C., Cho, K., & Bengio, Y. (2014). Empirical Evaluation Of Gated Recurrent Neural Networks On Sequence Modeling (No. Arxiv:1412.3555). Arxiv. Https://Doi.Org/10.48550/Arxiv.1412.3555
[4] Fiedor, P. (2014). Mutual Information Rate-Based Networks In Financial Markets. Physical Review E, 89(5), 052801. Https://Doi.Org/10.1103/Physreve.89.052801
[5] Fischer, T., & Krauss, C. (2018). Deep Learning With Long Short-Term Memory Networks For Financial Market Predictions. European Journal Of Operational Research, 270(2), 654–669. Https://Doi.Org/10.1016/J.Ejor.2017.11.054.