Hesham S. Almoallim

According to our database, Hesham S. Almoallim authored at least 4 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Performance evaluation of optimized convolutional neural network mechanism in the detection and classification of ovarian cancer.

Srinivasa Rao Kongara, S. Prakasha, A. Brindha, Sumit Kumar Pathak, Javed Miya, Syed Noeman Taqui, Hesham S. Almoallim, Sulaiman Ali Alharbi, S. S. Raghavan

Multim. Tools Appl., August, 2024

2023

Classifying the bacterial taxonomy with its metagenomic data using the deep neural network model.

Ramakrishnan Raman, Amit Barve, R. Meenakshi, G. M. Jayaseelan, P. Ganeshan, Syed Noeman Taqui, Hesham S. Almoallim, Sulaiman Ali Alharbi, S. S. Raghavan

J. Intell. Fuzzy Syst., November, 2023

An application development for smart monitoring of COVID patients using six stage microbiological health systems.

Padavala Sai Prasad, Prabha Shreeraj Nair, Anagha Patil, Nilesh Madhukar Patil, Abhay Chaturvedi, Syed Noeman Taqui, Hesham S. Almoallim, Sulaiman Ali Alharbi, S. S. Raghavan

J. Intell. Fuzzy Syst., 2023

Cancer victims' attitudes towards the importance of supportive treatment and health-care.

V. Nirupama, Prabha Shreeraj Nair, ATA Kishore Kumar, Mantripragada Yaswanth Bhanu Murthy, Priyanka Malhotra, Syed Noeman Taqui, Hesham S. Almoallim, Sulaiman Ali Alharbi, S. S. Raghavan

J. Intell. Fuzzy Syst., 2023