Sibghatullah I. Khan

According to our database, Sibghatullah I. Khan authored at least 11 papers between 2016 and 2023.

Collaborative distances:

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

2023

Automated Eye Movement Classification Based on EMG of EOM Signals Using FBSE-EWT Technique.

Sibghatullah Inayatullah Khan, Ram Bilas Pachori

IEEE Trans. Hum. Mach. Syst., April, 2023

Arrhythmia classification using multirate processing metaheuristic optimization and variational mode decomposition.

Saeed Mian Qaisar, Sibghatullah I. Khan, Kathiravan Srinivasan, Moez Krichen

J. King Saud Univ. Comput. Inf. Sci., January, 2023

EEG Signal based Schizophrenia Recognition by using VMD Rose Spiral Curve Butterfly Optimization and Machine Learning.

Sibghatullah I. Khan, Saeed Mian Qaisar, Alberto López, Humaira Nisar, Francisco Ferrero

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022

Automated glaucoma detection from fundus images using wavelet-based denoising and machine learning.

Sibghatullah I. Khan, Shruti Bhargava Choubey, Abhishek Choubey, Abhishek Bhatt, Pandya Vyomal Naishadhkumar, Mohammed Mahaboob Basha

Concurr. Eng. Res. Appl., 2022

Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features.

Sibghatullah I. Khan, Saeed Mian Qaisar, Ram Bilas Pachori

Biomed. Signal Process. Control., 2022

2021

Analysis of Normal and Adventitious Lung Sound Signals Using Empirical Mode Decomposition and Central Tendency Measure.

Sibghatullah I. Khan, G. Ganesh Kumar, Pandya Vyomal Naishadkumar, Sarvade Pedda Subba Rao

Traitement du Signal, 2021

Design of Energy and EDP Efficient 1-bit Full Subtractor Based Divider Circuits for Computing Systems.

Sibghatullah I. Khan, Mohammed Mahaboob Basha, Srinivasulu Gundala

Int. J. Syst. Syst. Eng., 2021

Automated classification of lung sound signals based on empirical mode decomposition.

Sibghatullah I. Khan, Ram Bilas Pachori

Expert Syst. Appl., 2021

Derived vectorcardiogram based automated detection of posterior myocardial infarction using FBSE-EWT technique.

Sibghatullah I. Khan, Ram Bilas Pachori

Biomed. Signal Process. Control., 2021

2019

A High-Performance Signed-Unsigned Multiplier Using Vedic Mathematics.

Ganesh Kumar Ganjikunta, Sibghatullah I. Khan, Mohammed Mahaboob Basha

J. Low Power Electron., 2019

2016

Classification of pulmonary crackles and pleural friction rubs using MFCC statistical parameters.

Sibghatullah I. Khan, Vasif Ahmed

Proceedings of the 2016 International Conference on Advances in Computing, 2016