Meisam Yadollahzadeh Tabari

According to our database, Meisam Yadollahzadeh Tabari authored at least 16 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Providing an Approach for Early Prediction of Fall in Human Activities Based on Wearable Sensor Data and the Use of Deep Learning Algorithms.

Rahman Keramati Hatkeposhti, Meisam Yadollahzadeh Tabari, Mehdi GolsorkhtabariAmiri

Comput. J., February, 2024

Customer analysis using a deep inferarer classifier and a variable-sensitive clustering algorithm optimized by the Cuckoo search method.

Motahare Ghavidel, Meisam Yadollahzadeh Tabari, Mehdi GolsorkhtabariAmiri

J. Intell. Fuzzy Syst., January, 2024

Diagnosing of Parkinson's disease based on hand drawing analysis using Bi-Directional LSTM equipped with fuzzy inferential soft-max classifier.

Elias Ramzani, Meisam Yadollahzadeh Tabari, Mehdi Golsorkhtabaramiri, Ali A. Pouyan

Int. J. Imaging Syst. Technol., January, 2024

Wearable Sensor-Based Human Activity Recognition System Employing Bi-LSTM Algorithm.

Amir Tehrani, Meisam Yadollahzadeh Tabari, Aidin Zehtab-Salmasi, Rasul Enayatifar

Comput. J., 2024

2022

Predicting user's movement path in indoor environments using the stacked deep learning method and the fuzzy soft-max classifier.

Masoumeh Bourjandi, Meisam Yadollahzadeh Tabari, Mehdi GolsorkhtabariAmiri

IET Signal Process., 2022

Solving the target coverage problem in multilevel wireless networks capable of adjusting the sensing angle using continuous learning automata.

Azam Qarehkhani, Mehdi Golsorkhtabaramiri, Hosein Mohamadi, Meisam Yadollahzadeh Tabari

IET Commun., 2022

Online multi-object tracking based on time and frequency domain features.

Mahbubeh Nazarloo, Meisam Yadollahzadeh Tabari, Homayun Motameni

IET Comput. Digit. Tech., 2022

Proposing a Fuzzy Soft-max-based classifier in a hybrid deep learning architecture for human activity recognition.

Reza Shakerian, Meisam Yadollahzadeh Tabari, Seyed Yaser Bozorgi Rad

IET Biom., 2022

Combined deep centralized coordinate learning and hybrid loss for human activity recognition.

Masoumeh Bourjandi, Meisam Yadollahzadeh Tabari, Mehdi Golsorkhtabaramiri

Concurr. Comput. Pract. Exp., 2022

2021

An Stochastic Reward net Model for Performance Analysis of Network layer in Mobile Ad Hoc Network Under the Workload of Misbehvaior Nodes.

Meisam Yadollahzadeh Tabari

Wirel. Pers. Commun., 2021

Solving target coverage problem in directional sensor networks with ability to adjust sensing range using continuous learning automata.

Azam Qarehkhani, Mehdi Golsorkhtabaramiri, Hosein Mohamadi, Meisam Yadollahzadeh Tabari

J. Intell. Fuzzy Syst., 2021

2020

Autonomic resource provisioning for multilayer cloud applications with K-nearest neighbor resource scaling and priority-based resource allocation.

Arash Mazidi, Mehdi Golsorkhtabaramiri, Meisam Yadollahzadeh Tabari

Softw. Pract. Exp., 2020

An autonomic risk- and penalty-aware resource allocation with probabilistic resource scaling mechanism for multilayer cloud resource provisioning.

Arash Mazidi, Mehdi Golsorkhtabaramiri, Meisam Yadollahzadeh Tabari

Int. J. Commun. Syst., 2020

2017

Misbehavior analysis of IEEE 802.11 MAC layer in mobile ad hoc network using stochastic reward nets.

Meisam Yadollahzadeh Tabari, Ali A. Pouyan

Int. J. Commun. Syst., 2017

FPN-SAODV: using fuzzy petri nets for securing AODV routing protocol in mobile Ad hoc network.

Ali A. Pouyan, Meisam Yadollahzadeh Tabari

Int. J. Commun. Syst., 2017

2012

Proposing a light weight semi-distributed IDS for mobile ad-hoc network based on nodes' mode.

Meisam Yadollahzadeh Tabari, Hamid Hassanpour, Ali Pouyan, Saman Saleki

Proceedings of the 6th International Symposium on Telecommunications, 2012