Muhammad Ehatisham-ul-Haq

Orcid: 0000-0001-9949-6664

According to our database1, Muhammad Ehatisham-ul-Haq authored at least 27 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Enhancing Recognition of Human-Object Interaction from Visual Data Using Egocentric Wearable Camera.
Future Internet, August, 2024

A novel approach for designing secure substitution boxes based on Catalan number and elliptic curve.
Multim. Tools Appl., January, 2024

A Novel Framework for Daily Life Activity and Context Recognition In-The-Wild Using Smartphone Inertial Sensors.
IEEE Access, 2024

2022
An Effective S-box Construction Based on Linear Recurrences with Constant Co-Efficient.
Wirel. Pers. Commun., 2022

A Novel Scheme for Designing Secure Substitution Boxes (S-Boxes) Based on Mobius Group and Finite Field.
Wirel. Pers. Commun., 2022

S-THAD: a framework for sensor-based temporal human activity detection from continuous data streams.
J. Ambient Intell. Humaniz. Comput., 2022

2021
A Novel Scheme of Substitution-Box Design Based on Modified Pascal's Triangle and Elliptic Curve.
Wirel. Pers. Commun., 2021

A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal.
Sensors, 2021

Expert-novice classification of mobile game player using smartphone inertial sensors.
Expert Syst. Appl., 2021

Gender Recognition using EEG during Mobile Game Play.
Proceedings of the International Conference on Information Technology, 2021

2020
Identifying smartphone users based on how they interact with their phones.
Hum. centric Comput. Inf. Sci., 2020

Opportunistic sensing for inferring in-the-wild human contexts based on activity pattern recognition using smart computing.
Future Gener. Comput. Syst., 2020

A Novel Algebraic Technique for Design of Computational Substitution-Boxes Using Action of Matrices on Galois Field.
IEEE Access, 2020

Generation of Highly Nonlinear and Dynamic AES Substitution-Boxes (S-Boxes) Using Chaos-Based Rotational Matrices.
IEEE Access, 2020

C2FHAR: Coarse-to-Fine Human Activity Recognition With Behavioral Context Modeling Using Smart Inertial Sensors.
IEEE Access, 2020

Personal Attributes Identification based on Gait Recognition using Smart Phone Sensors.
Proceedings of the ICCAE 2020: 12th International Conference on Computer and Automation Engineering, 2020

An Approach towards Position-Independent Human Activity Recognition Model based on Wearable Accelerometer Sensor.
Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020

Using Smartphone Accelerometer for Human Physical Activity and Context Recognition in-the-Wild.
Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020

Identifying Users with Wearable Sensors based on Activity Patterns.
Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020

2019
ADLAuth: Passive Authentication Based on Activity of Daily Living Using Heterogeneous Sensing in Smart Cities.
Sensors, 2019

An Efficient Machine Learning-based Elderly Fall Detection Algorithm.
CoRR, 2019

Robust Human Activity Recognition Using Multimodal Feature-Level Fusion.
IEEE Access, 2019

Driving Activity Recognition of Motorcyclists Using Smartphone Sensor.
Proceedings of the Intelligent Technologies and Applications, 2019

2018
Continuous authentication of smartphone users based on activity pattern recognition using passive mobile sensing.
J. Netw. Comput. Appl., 2018

Elderly Assistance Using Wearable Sensors by Detecting Fall and Recognizing Fall Patterns.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017
Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing.
Sensors, 2017

Identifying Smartphone Users based on their Activity Patterns via Mobile Sensing.
Proceedings of the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017) / The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2017) / Affiliated Workshops, 2017


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