Muhammad Asad

Orcid: 0000-0003-1186-3525

Affiliations:
  • National University of Sciences and Technology, School of Electrical Engineering and Computer Science, Islamabad, Pakistan
  • aeroLiFi GmbH, Wessling, Germany
  • Iqra University, Islamabad, Pakistan (2014 - 2019)


According to our database1, Muhammad Asad authored at least 11 papers between 2016 and 2022.

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

Timeline

Legend:

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Bibliography

2022
Energy Efficient QoS-Based Access Point Selection in Hybrid WiFi and LiFi IoT Networks.
IEEE Trans. Green Commun. Netw., 2022

2020
Client-Centric Access Device Selection for Heterogeneous QoS Requirements in Beyond 5G IoT Networks.
IEEE Access, 2020

Beyond 5G: Hybrid End-to-End Quality of Service Provisioning in Heterogeneous IoT Networks.
IEEE Access, 2020

Towards the Selection of the Best Machine Learning Techniques and Methods for Urinalysis.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

Client Based Access Layer QoS Provisioning in Beyond 5G IoT Networks.
Proceedings of the 3rd International Conference on Advanced Communication Technologies and Networking, 2020

2019
Applying Feature Selection and Weight Optimization Techniques to Enhance Artificial Neural Network for Heart Disease Diagnosis.
Proceedings of the Intelligent Systems and Applications, 2019

A Review of Continuous Blood Glucose Monitoring and Prediction of Blood Glucose Level for Diabetes Type 1 Patient in Different Prediction Horizons (PH) Using Artificial Neural Network (ANN).
Proceedings of the Intelligent Systems and Applications, 2019

Blood Glucose Level Prediction Using Optimized Neural Network for Virtual Patients.
Proceedings of the Intelligent Systems and Applications, 2019

Blood Glucose Level Prediction with Minimal Inputs Using Feedforward Neural Network for Diabetic Type 1 Patients.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

A Systematic Literature Review of Continuous Blood Glucose Monitoring and Suggesting the Quantity of Insulin or Artificial Pancreas (AP) for Diabetic Type 1 Patients.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

2016
A source code quality analysis approach.
Proceedings of the 10th International Conference on Software, 2016


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