Muhammad Asif

Orcid: 0000-0001-6770-3884

Affiliations:
  • COMSATS University Islamabad, Communications over Sensors, Research Laboratory, ComSens, Department of Computer Science, Pakistan
  • University of Gujrat, Gujrat, Pakistan (former)


According to our database1, Muhammad Asif authored at least 9 papers between 2021 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
AlexNet, AdaBoost and Artificial Bee Colony Based Hybrid Model for Electricity Theft Detection in Smart Grids.
IEEE Access, 2022

Data Augmentation Using BiWGAN, Feature Extraction and Classification by Hybrid 2DCNN and BiLSTM to Detect Non-Technical Losses in Smart Grids.
IEEE Access, 2022

2021
Electricity Consumption Forecasting Using Gated-FCN With Ensemble Strategy.
IEEE Access, 2021

Comparative Study of Data Driven Approaches Towards Efficient Electricity Theft Detection in Micro Grids.
Proceedings of the Innovative Mobile and Internet Services in Ubiquitous Computing, 2021

Towards Energy Efficient Smart Grids: Data Augmentation Through BiWGAN, Feature Extraction and Classification Using Hybrid 2DCNN and BiLSTM.
Proceedings of the Innovative Mobile and Internet Services in Ubiquitous Computing, 2021

Synthetic Theft Attacks Implementation for Data Balancing and a Gated Recurrent Unit Based Electricity Theft Detection in Smart Grids.
Proceedings of the Complex, Intelligent and Software Intensive Systems, 2021

Electricity Theft Detection in Smart Meters Using a Hybrid Bi-directional GRU Bi-directional LSTM Model.
Proceedings of the Complex, Intelligent and Software Intensive Systems, 2021

Detection of Non-Technical Losses Using MLP-GRU Based Neural Network to Secure Smart Grids.
Proceedings of the Complex, Intelligent and Software Intensive Systems, 2021

Alexnet-Adaboost-ABC Based Hybrid Neural Network for Electricity Theft Detection in Smart Grids.
Proceedings of the Complex, Intelligent and Software Intensive Systems, 2021


  Loading...