Muhammad Saadi

Orcid: 0000-0001-7901-7435

According to our database1, Muhammad Saadi authored at least 28 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Adaptive Resource Management in Software-Defined Networks for IoT Ecosystems.
Proceedings of the International Conference on Software, 2024

Advancing Neural Speech Codecs: Integrating Psychoacoustic Models for Enhanced Speech Quality.
Proceedings of the International Conference on Software, 2024

AI/ML-Enhanced Security Monitoring for 5G-Enabled Big Data Sensor Networks.
Proceedings of the International Conference on Software, 2024

2023
IoT based real-time traffic monitoring system using images sensors by sparse deep learning algorithm.
Comput. Commun., October, 2023

Reversible encryption and lossless data hiding for medical imaging aiding smart health care.
Clust. Comput., October, 2023

AsQM: Audio Streaming Quality Metric Based on Network Impairments and User Preferences.
IEEE Trans. Consumer Electron., August, 2023

An Analysis of Image Features Extracted by CNNs to Design Classification Models for COVID-19 and Non-COVID-19.
J. Signal Process. Syst., March, 2023

A Skin Cancer Classification Approach using GAN and RoI-Based Attention Mechanism.
J. Signal Process. Syst., March, 2023

A novel deep deterministic policy gradient model applied to intelligent transportation system security problems in 5G and 6G network scenarios.
Phys. Commun., February, 2023

Digital Twin for a Collaborative Painting Robot.
Sensors, 2023

Transfer Learning Approach to IDS on Cloud IoT Devices Using Optimized CNN.
IEEE Access, 2023

Unified Approach to Video-Based AI Inference Tasks in Augmented Reality Systems Assisted by Mobile Edge Computing.
Proceedings of the International Conference on Software, 2023

A Novel Resource Allocation in Software-Defined Networks for IoT Application.
Proceedings of the International Conference on Software, 2023

2022
An FPGA-Based Performance Evaluation of Artificial Neural Network Architecture Algorithm for IoT.
Wirel. Pers. Commun., 2022

Light-Field Imaging Reconstruction Using Deep Learning Enabling Intelligent Autonomous Transportation System.
IEEE Trans. Intell. Transp. Syst., 2022

BoostedEnML: Efficient Technique for Detecting Cyberattacks in IoT Systems Using Boosted Ensemble Machine Learning.
Sensors, 2022

Big data analytics for critical information classification in online social networks using classifier chains.
Peer-to-Peer Netw. Appl., 2022

Intelligent network planning tool for location optimization of unmanned aerial vehicle base stations using geographical images.
J. Electronic Imaging, 2022

Evolution of random access process: From Legacy networks to 5G and beyond.
Trans. Emerg. Telecommun. Technol., 2022

Secure indoor traffic modeling in long-term evolution femtocell networks using efficient Markov decision process.
Trans. Emerg. Telecommun. Technol., 2022

A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms.
Expert Syst. J. Knowl. Eng., 2022

2021
Q-Meter: Quality Monitoring System for Telecommunication Services Based on Sentiment Analysis Using Deep Learning.
Sensors, 2021

Intrusion Detection System Based on Fast Hierarchical Deep Convolutional Neural Network.
IEEE Access, 2021

2019
A Novel Dissimilarity of Activity Biomarker and Functional Connectivity Analysis for the Epilepsy Diagnosis.
Symmetry, 2019

Visible light-based indoor localization using k-means clustering and linear regression.
Trans. Emerg. Telecommun. Technol., 2019

Visible light communication - An architectural perspective on the applications and data rate improvement strategies.
Trans. Emerg. Telecommun. Technol., 2019

Exploring the Best Environmental Conditions for the Growth of Butterhead Lettuce in a Closed System.
Proceedings of the 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2019

2016
An LED Based Indoor Localization System Using k-Means Clustering.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016


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