Muhammad Adil

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions.
Future Gener. Comput. Syst., 2024

A federated learning-based zero trust intrusion detection system for Internet of Things.
Ad Hoc Networks, 2024

EX-DFL: An Explainable Deep Federated-based Intrusion Detection System for Industrial IoT.
Proceedings of the 21st International Joint Conference on Computer Science and Software Engineering, 2024

A Class-incremental Learning Method based on Exemplar Compression for Remote Sensing Scene Classification.
Proceedings of the 7th International Conference on Image and Graphics Processing, 2024

2023
CA-MLBS: content-aware machine learning based load balancing scheduler in the cloud environment.
Expert Syst. J. Knowl. Eng., May, 2023

Effective and Efficient DDoS Attack Detection Using Deep Learning Algorithm, Multi-Layer Perceptron.
Future Internet, February, 2023

A Fully Connected Neural Network Driven UWA Channel Estimation for Reliable Communication.
Proceedings of the International Conference on Frontiers of Information Technology, 2023

Novel Matrix Decomposition for Fast and Scalable Model Predictive Control.
Proceedings of the American Control Conference, 2023

2022
Assessing Elevation-Based Forest Dynamics over Space and Time toward REDD+ MRV in Upland Myanmar.
Remote. Sens., December, 2022

Multi-Robot Motion Planning via Parabolic Relaxation.
IEEE Robotics Autom. Lett., 2022

Machine Learning Based Relative Orbit Transfer for Swarm Spacecraft Motion Planning.
CoRR, 2022

PSO-CALBA: Particle Swarm Optimization Based Content-Aware Load Balancing Algorithm in Cloud Computing Environment.
Comput. Informatics, 2022

RFE Based Feature Selection and KNNOR Based Data Balancing for Electricity Theft Detection Using BiLSTM-LogitBoost Stacking Ensemble Model.
IEEE Access, 2022

2021
Optimal Multi-Robot Motion Planning via Parabolic Relaxation.
CoRR, 2021

2020
Multi-Agent Motion Planning using Deep Learning for Space Applications.
CoRR, 2020

Multi Scale-Adaptive Super-Resolution Person Re-Identification Using GAN.
IEEE Access, 2020

Fast Linear Programming Optimization Using Crossbar-Based Analog Accelerator.
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020

Electricity Theft Detection Using Machine Learning Techniques to Secure Smart Grid.
Proceedings of the Complex, Intelligent and Software Intensive Systems, 2020

Electricity Price Forecasting Based on Enhanced Convolutional Neural Network in Smart Grid.
Proceedings of the Web, Artificial Intelligence and Network Applications, 2020

An Enhanced Convolutional Neural Network Model Based on Weather Parameters for Short-Term Electricity Supply and Demand.
Proceedings of the Advanced Information Networking and Applications, 2020

Big Data Based Electricity Price Forecasting Using Enhanced Convolutional Neural Network in the Smart Grid.
Proceedings of the Web, Artificial Intelligence and Network Applications, 2020

2018
Convex Relaxation of Bilinear Matrix Inequalities Part II: Applications to Optimal Control Synthesis.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2016
Exponential discriminant analysis for fault diagnosis.
Neurocomputing, 2016

2007
Analysis of Fuzzy Error Back-propagation Algorithm.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007


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