Muhammad Asim Saleem

Orcid: 0000-0003-2709-5508

According to our database1, Muhammad Asim Saleem authored at least 25 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
RSA-SAC: A Reliability- and Sparsity-Aware Scheduler for Real-Time Holographic Counterpart Orchestration in Consumer Fog Networks.
IEEE Trans. Consumer Electron., May, 2026

Detection of Ransomware Attack in IoT-Based Smart Meter Using Hybrid Deep Learning Model.
IEEE Trans. Consumer Electron., February, 2026

2025
VDO-Fit: Energy-Efficient OFDM Scheduling for Deadline-Constrained Transmission in Vehicular Networks.
IEEE Trans. Consumer Electron., November, 2025

FPGA-Driven Secure Energy Routing and Attack Detection in Decentralized Microgrids With SREM-Based Dynamic Path Optimization.
IEEE Trans. Consumer Electron., November, 2025

Blockchain Enabled Reserved Pricing and Privacy Preserving Model for Peer-to-Peer Energy Trading in Smart Grid.
IEEE Trans. Consumer Electron., August, 2025

Predicting Depression in Older Adults: A Novel Feature Selection and Neural Network Framework.
Neural Process. Lett., June, 2025

Deep Learning-Based Approach for Identification of Potato Leaf Diseases Using Wrapper Feature Selection and Feature Concatenation.
CoRR, February, 2025

Deep feature fusion for melanoma detection using ResNet-VGG networks with attention mechanism.
PeerJ Comput. Sci., 2025

Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning.
IEEE Access, 2025

A Hybrid Prediction Model Integrating Artificial Intelligence and Geospatial Analysis for Disaster Management.
IEEE Access, 2025

2024
Unveiling Cancer: A Data-Driven Approach for Early Identification and Prediction Using F-RUS-RF Model.
Int. J. Imaging Syst. Technol., 2024

Corrections to "Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages".
IEEE Access, 2024

Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages.
IEEE Access, 2024

2023
Predictive Power of XGBoost_BiLSTM Model: A Machine-Learning Approach for Accurate Sleep Apnea Detection Using Electronic Health Data.
Int. J. Comput. Intell. Syst., December, 2023

Sooty Tern Optimization Algorithm-Based Deep Learning Model for Diagnosing NSCLC Tumours.
Sensors, February, 2023

Localization for V2X communication with noisy distance measurement.
Int. J. Intell. Networks, 2023

2021
V2X-Based Mobile Localization in 3D Wireless Sensor Network.
Secur. Commun. Networks, 2021

A dynamic clustering technique based on deep reinforcement learning for Internet of vehicles.
J. Intell. Manuf., 2021

A Survey on Semi-parametric Machine Learning Technique for Time Series Forecasting.
CoRR, 2021

2020
Collaborative Wireless Power Transfer in Wireless Rechargeable Sensor Networks.
Wirel. Commun. Mob. Comput., 2020

Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images.
Pattern Recognit. Lett., 2020

Development of Hepatitis Disease Detection System by Exploiting Sparsity in Linear Support Vector Machine to Improve Strength of AdaBoost Ensemble Model.
Mob. Inf. Syst., 2020

Application of intelligent computing to develop performance index algorithm as a multicriteria decision making tool.
Int. J. Intell. Networks, 2020

2019
Data Transmission Using IoT in Vehicular Ad-Hoc Networks in Smart City Congestion.
Mob. Networks Appl., 2019

Expansion of Cluster Head Stability Using Fuzzy in Cognitive Radio CR-VANET.
IEEE Access, 2019


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