Syed Muhammad Naqi

According to our database, Syed Muhammad Naqi authored at least 10 papers between 2010 and 2026.

Collaborative distances:

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

2026

FoMoSkinNet: A Dual-Stream Deep Learning Model for Early Detection and Classification of Non-Dermoscopic Skin Lesions via Focal Modulation and Local Feature Integration.

Farhana Bibi, Qaisar Abbas, Syed Muhammad Naqi

IEEE Access, 2026

2025

EmotionNet-X: An Optimized CNN Architecture for Robust Facial Emotion Analysis.

Syed Muhammad Aqleem Abbas, Qaisar Abbas, Syed Muhammad Naqi

IEEE Access, 2025

2023

DLTN-LOSP: A Novel Deep-Linear-Transition-Network-Based Resource Allocation Model with the Logic Overhead Security Protocol for Cloud Systems.

Divya Ramachandran, Syed Muhammad Naqi, Ganeshkumar Perumal, Qaisar Abbas

Sensors, October, 2023

A deep learning approach for multi-stage classification of brain tumor through magnetic resonance images.

Sahar Gull, Shahzad Akbar, Syed Muhammad Naqi

Int. J. Imaging Syst. Technol., September, 2023

VBQ-Net: A Novel Vectorization-Based Boost Quantized Network Model for Maximizing the Security Level of IoT System to Prevent Intrusions.

Ganeshkumar Perumal, Gopalakrishnan Subburayalu, Qaisar Abbas, Syed Muhammad Naqi, Imran Qureshi

Syst., August, 2023

COVID-19 Prediction Infrastructure Using Deep Learning.

Zahra Abbas, Mario Fiorino, Syed Muhammad Naqi, Musarat Abbas

Proceedings of the Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023), 2023

2020

Lung nodule detection and classification based on geometric fit in parametric form and deep learning.

Syed Muhammad Naqi, Muhammad Sharif, M. Arfan Jaffar

Neural Comput. Appl., 2020

2019

A 3D nodule candidate detection method supported by hybrid features to reduce false positives in lung nodule detection.

Syed Muhammad Naqi, Muhammad Sharif, Muhammad Ikram Ullah Lali

Multim. Tools Appl., 2019

2018

Multistage segmentation model and SVM-ensemble for precise lung nodule detection.

Syed Muhammad Naqi, Muhammad Sharif, Mussarat Yasmin

Int. J. Comput. Assist. Radiol. Surg., 2018

2010

Bayesian Classification Using DCT Features for Brain Tumor Detection.

Qurat Ul Ain, Irfan Mehmood, Syed Muhammad Naqi, M. Arfan Jaffar

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010