Md. Khalid Syfullah

According to our database, Md. Khalid Syfullah authored at least 5 papers between 2022 and 2024.

Collaborative distances:

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

2024

Bridging the gap: advancing the transparency and trustworthiness of network intrusion detection with explainable AI.

Md. Tohidul Islam, Md. Khalid Syfullah, Md. Golam Rashed, Dipankar Das

Int. J. Mach. Learn. Cybern., November, 2024

2023

Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19.

Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan, Md. Robiul Islam, Md. Khalid Syfullah, Saleh Mohammed Shahriar, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski

Expert Syst. Appl., November, 2023

IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques.

Md. Faysal Ahamed, Md. Khalid Syfullah, Ovi Sarkar, Md. Tohidul Islam, Md. Nahiduzzaman, Md. Rabiul Islam, Amith Khandakar, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury

Sensors, September, 2023

Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture.

Hasibul Islam Peyal, Md. Nahiduzzaman, Md. Abu Hanif Pramanik, Md. Khalid Syfullah, Saleh Mohammed Shahriar, Abida Sultana, Mominul Ahsan, Julfikar Haider, Amith Khandakar, Muhammad E. H. Chowdhury

IEEE Access, 2023

2022

An Empirical Model of Classifying Lung Affected Diseases to Detect COVID-19 Using Chest X-ray Employing Convolutional Neural Architecture.

Ovi Sarkar, Md. Robiul Islam, Tahmim Hossain, Md. Khalid Syfullah, Md. Tohidul Islam, Md. Moniruzzaman

Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2022