Hafeez Ur Rehman Siddiqui

Orcid: 0000-0003-0671-2060

According to our database1, Hafeez Ur Rehman Siddiqui authored at least 29 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Smart Physiotherapy: Advancing Arm-Based Exercise Classification with PoseNet and Ensemble Models.
Sensors, October, 2024

Therapeutic Exercise Recognition Using a Single UWB Radar with AI-Driven Feature Fusion and ML Techniques in a Real Environment.
Sensors, September, 2024

Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence.
Sensors, June, 2024

Artificial intelligence-based myocardial infarction diagnosis: a comprehensive review of modern techniques.
Multim. Tools Appl., April, 2024

Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders.
Eng. Appl. Artif. Intell., January, 2024

Gender classification based on gait analysis using ultrawide band radar augmented with artificial intelligence.
Expert Syst. Appl., 2024

Improving Automated PSN Assessment in Type 2 Diabetes: A Study on Plantar Lesion Recognition and Probe Avoidance Techniques.
IEEE Access, 2024

IoT-Based Smart Biofloc Monitoring System for Fish Farming Using Machine Learning.
IEEE Access, 2024

2023
A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems.
Comput. Secur., November, 2023

Enhancing Diagnosis of Anterior and Inferior Myocardial Infarctions Using UWB Radar and AI-Driven Feature Fusion Approach.
Sensors, September, 2023

Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning.
Sensors, August, 2023

Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data.
Sensors, August, 2023

Emotion classification using temporal and spectral features from IR-UWB-based respiration data.
Multim. Tools Appl., May, 2023

Predicting Household Electric Power Consumption Using Multi-step Time Series with Convolutional LSTM.
Big Data Res., February, 2023

Predicting bankruptcy of firms using earnings call data and transfer learning.
PeerJ Comput. Sci., 2023

Deep Learning-Based Feature Engineering to Detect Anterior and Inferior Myocardial Infarction Using UWB Radar Data.
IEEE Access, 2023

2022
Automatic User Preferences Selection of Smart Hearing Aid Using BioAid.
Sensors, 2022

Railway Track Inspection Using Deep Learning Based on Audio to Spectrogram Conversion: An on-the-Fly Approach.
Sensors, 2022

IoT Based Railway Track Faults Detection and Localization Using Acoustic Analysis.
IEEE Access, 2022

2021
GLOS: a global and local features oriented link prediction technique in social network.
EAI Endorsed Trans. Scalable Inf. Syst., 2021

Respiration Based Non-Invasive Approach for Emotion Recognition Using Impulse Radio Ultra Wide Band Radar and Machine Learning.
Sensors, 2021

Non-Invasive Driver Drowsiness Detection System.
Sensors, 2021

A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis.
Sensors, 2021

Extensive hotel reviews classification using long short term memory.
J. Ambient Intell. Humaniz. Comput., 2021

Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model.
IEEE Access, 2021

2020
A Review on Smart IOT Based Parking System.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020

2017
UWB localization employing supervised learning method.
Proceedings of the 17th IEEE International Conference on Ubiquitous Wireless Broadband, 2017

2015
Automated Peripheral Neuropathy Assessment Using Optical Imaging and Foot Anthropometry.
IEEE Trans. Biomed. Eng., 2015

Automated Semmes Weinstein monofilament examination replication using optical imaging and mechanical probe assembly.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015


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