Irfan Tariq

About Irfan Tariq

Irfan Tariq, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Southeast University, specializes in the field of Signal Processing, Pulsar detection, Machine Learning, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A comprehensive bibliometric survey of micro-expression recognition system based on deep learning

A real-time, pipelined incoherent dedispersion method and implementation in FPGA

Research Article Lung Cancer Nodules Detection via an Adaptive Boosting Algorithm Based on Self-Normalized Multiview Convolutional Neural Network

A 78-mhz bw continuous-time sigma-delta adc with programmable vco quantizer

Lung cancer nodules detection via an adaptive boosting algorithm based on self-normalized multiview convolutional neural network

Cost Sensitive Self-normalized Deep Convolutional Neural Network for Pulsars Selection

A DPTF algorithm for the time-delay estimation in the reflected environment

Classification of pulsar signals using ensemble gradient boosting algorithms based on asymmetric under-sampling method

Irfan Tariq Information

University

Position

___

Citations(all)

77

Citations(since 2020)

76

Cited By

13

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Irfan Tariq Skills & Research Interests

Signal Processing

Pulsar detection

Machine Learning

Deep Learning

Top articles of Irfan Tariq

A comprehensive bibliometric survey of micro-expression recognition system based on deep learning

2024/3/4

A real-time, pipelined incoherent dedispersion method and implementation in FPGA

Publications of the Astronomical Society of the Pacific

2022/1/31

Research Article Lung Cancer Nodules Detection via an Adaptive Boosting Algorithm Based on Self-Normalized Multiview Convolutional Neural Network

2022

A 78-mhz bw continuous-time sigma-delta adc with programmable vco quantizer

Computers, Materials & Continua

2022/1/1

Lung cancer nodules detection via an adaptive boosting algorithm based on self-normalized multiview convolutional neural network

Journal of Oncology

2022/9/26

Cost Sensitive Self-normalized Deep Convolutional Neural Network for Pulsars Selection

2022/7/1

A DPTF algorithm for the time-delay estimation in the reflected environment

Digital Signal Processing

2022/7/1

Shunyu Yao
Shunyu Yao

H-Index: 2

Irfan Tariq
Irfan Tariq

H-Index: 2

Classification of pulsar signals using ensemble gradient boosting algorithms based on asymmetric under-sampling method

Journal of Instrumentation

2022/3/21

Adaboost-DSNN: an adaptive boosting algorithm based on deep self normalized neural network for pulsar identification

Monthly Notices of the Royal Astronomical Society

2022/3

Stacking Ensemble Method for Early and Advanced Stage Lung Adenocarcinoma Classification Based on miRNA Expression

2021/10/29

An efficient channelization architecture and its implementation for radio astronomy

Journal of Instrumentation

2021/8/16

High-precision time delay estimation of narrowband radio signal by PHAT-LSTM

Measurement Science and Technology

2021/4/27

A Current Transformer Saturation Time Difference Method for Detecting Out Of Zone Fault Using Mathematical Morphology

2020/11/1

Wang Baohua
Wang Baohua

H-Index: 1

Irfan Tariq
Irfan Tariq

H-Index: 2

Static and modal analysis of sandwich beam structure with magnetorheological honeycomb core

2020/10/29

Hybrid resonant three‐level ZCS converter suitable for photovoltaic power MVDC distribution network

IET Renewable Power Generation

2020/8

A hybrid resonant ZVZCS three-level converter suitable for photovoltaic power DC distribution system

IEEE Access

2020/6/15

A Hybrid Resonant three-level ZCS Converter Suitable for Medium Voltage Dc Distribution Network

2020/3/15

See List of Professors in Irfan Tariq University(Southeast University)