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 (IST, 2012)

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)

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)

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)

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)

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)

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)

Combined deep centralized coordinate learning and hybrid loss for human activity recognition. - Masoumeh Bourjandi; Meisam Yadollahzadeh Tabari; Mehdi Golsorkhtabaramiri (Concurr. Comput. Pract. Exp., 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)

Online multi-object tracking based on time and frequency domain features. - Mahbubeh Nazarloo; Meisam Yadollahzadeh Tabari; Homayun Motameni (IET Comput. Digit. Tech., 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)

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)

Wearable Sensor-Based Human Activity Recognition System Employing Bi-LSTM Algorithm. - Amir Tehrani; Meisam Yadollahzadeh Tabari; Aidin Zehtab-Salmasi; Rasul Enayatifar (Comput. J., 2024)

Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review. - Javad Hassannataj Joloudari; Mohammad Maftoun; Bahareh Nakisa; Roohallah Alizadehsani; Meisam Yadollahzadeh Tabari (CoRR, 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., 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., 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., 2024)

Intermodal Terminal Planning Using Timed Colored Petri Nets and Fuzzy Data Envelopment Analysis. - Mohsen Fallah; Meisam Yadollahzadeh Tabari; Mohammad Adabitabar Firozja; Homayun Motameni (Concurr. Comput. Pract. Exp., 2025)

An energy-aware scheduling in DVFS-enabled heterogeneous edge computing environments. - Ferdos Kazemi; Behnam Barzegar; Homayun Motameni; Meisam Yadollahzadeh Tabari (J. Supercomput., 2025)