Sanam Narejo

Orcid: 0000-0002-3537-8949

According to our database1, Sanam Narejo authored at least 15 papers between 2015 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Correction to: A review of machine learning-based human activity recognition for diverse applications.
Neural Comput. Appl., March, 2023

2022
Fall Detection Using LSTM and Transfer Learning.
Wirel. Pers. Commun., 2022

Scientific Workflow Makespan Minimization in Edge Multiple Service Providers Environment.
Wirel. Pers. Commun., 2022

Efficient JPEG Encoding Using Bernoulli Shift Map for Secure Communication.
Wirel. Pers. Commun., 2022

A review of machine learning-based human activity recognition for diverse applications.
Neural Comput. Appl., 2022

Big data analytics and classification of cardiovascular disease using machine learning.
J. Intell. Fuzzy Syst., 2022

A neural network based heading and position control system of a ship.
CoRR, 2022

2021
Novel Cost Efficient Resource Allocation Technique Based on Deadline and Budget Constraints for Edge Users.
Wirel. Pers. Commun., 2021

Multi-step rainfall forecasting using deep learning approach.
PeerJ Comput. Sci., 2021

EEG Based Major Depressive Disorder (MDD) Detection Using Machine Learning.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2021

2020
Short-Term Prediction Model for Multi-currency Exchange Using Artificial Neural Network.
Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020

2018
An Application of Internet Traffic Prediction with Deep Neural Network.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

A Predictive Model of Artificial Neural Network for Fuel Consumption in Engine Control System.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Time series prediction and forecasting using Deep learning Architectures.
PhD thesis, 2018

2015
Automated Extraction of the Coronary Tree by Integrating Localized Aorta-Based Intensity Distribution Statistics in Active Contour Segmentation.
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015


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