Alishba Sadiq

According to our database, Alishba Sadiq authored at least 9 papers between 2018 and 2023.

Collaborative distances:

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

2023

A novel quantum calculus-based complex least mean square algorithm (q-CLMS).

Alishba Sadiq, Imran Naseem, Shujaat Khan, Muhammad Moinuddin, Roberto Togneri, Mohammed Bennamoun

Appl. Intell., 2023

2022

Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimer's Disease.

Alishba Sadiq, Norashikin Yahya, Tong Boon Tang, Hilwati Hashim, Imran Naseem

Sensors, 2022

Non-Oscillatory Connectivity Approach for Classification of Autism Spectrum Disorder Subtypes Using Resting-State fMRI.

Alishba Sadiq, Mohammed Isam Al-Hiyali, Norashikin Yahya, Tong Boon Tang, Danish M. Khan

IEEE Access, 2022

2019

Enhanced <i>q</i>-least Mean Square.

Alishba Sadiq, Shujaat Khan, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

Circuits Syst. Signal Process., 2019

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks.

Alishba Sadiq, Muhammad Sohail Ibrahim, Muhammad Usman, Muhammad Zubair, Shujaat Khan

CoRR, 2019

Spatio-Temporal RBF Neural Networks.

Shujaat Khan, Jawwad Ahmad, Alishba Sadiq, Imran Naseem, Muhammad Moinuddin

CoRR, 2019

q-LMF: Quantum Calculus-Based Least Mean Fourth Algorithm.

Alishba Sadiq, Muhammad Usman, Shujaat Khan, Imran Naseem, Muhammad Moinuddin, Ubaid M. Al-Saggaf

Proceedings of the Fourth International Congress on Information and Communication Technology, 2019

2018

Comments on "Momentum fractional LMS for power signal parameter estimation".

Shujaat Khan, Imran Naseem, Alishba Sadiq, Jawwad Ahmad, Muhammad Moinuddin

CoRR, 2018

Enhanced q-Least Mean Square.

Shujaat Khan, Alishba Sadiq, Imran Naseem, Roberto Togneri, Mohammed Bennamoun

CoRR, 2018