Meisam Yadollahzadeh Tabari
Orcid: 0000-0002-5231-7611
  According to our database1,
  Meisam Yadollahzadeh Tabari
  authored at least 20 papers
  between 2012 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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    on orcid.org
 
On csauthors.net:
Bibliography
  2025
CBA-HDL: A hybrid deep learning model for scalable and efficient cloud workload forecasting with enhanced accuracy.
    
  
    Clust. Comput., November, 2025
    
  
An energy-aware scheduling in DVFS-enabled heterogeneous edge computing environments.
    
  
    J. Supercomput., June, 2025
    
  
Intermodal Terminal Planning Using Timed Colored Petri Nets and Fuzzy Data Envelopment Analysis.
    
  
    Concurr. Comput. Pract. Exp., 2025
    
  
  2024
Providing an Approach for Early Prediction of Fall in Human Activities Based on Wearable Sensor Data and the Use of Deep Learning Algorithms.
    
  
    Comput. J., February, 2024
    
  
Customer analysis using a deep inferarer classifier and a variable-sensitive clustering algorithm optimized by the Cuckoo search method.
    
  
    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.
    
  
    Int. J. Imaging Syst. Technol., January, 2024
    
  
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review.
    
  
    CoRR, 2024
    
  
    Comput. J., 2024
    
  
  2022
Predicting user's movement path in indoor environments using the stacked deep learning method and the fuzzy soft-max classifier.
    
  
    IET Signal Process., 2022
    
  
Solving the target coverage problem in multilevel wireless networks capable of adjusting the sensing angle using continuous learning automata.
    
  
    IET Commun., 2022
    
  
    IET Comput. Digit. Tech., 2022
    
  
Proposing a Fuzzy Soft-max-based classifier in a hybrid deep learning architecture for human activity recognition.
    
  
    IET Biom., 2022
    
  
Combined deep centralized coordinate learning and hybrid loss for human activity recognition.
    
  
    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.
    
  
    Wirel. Pers. Commun., 2021
    
  
Solving target coverage problem in directional sensor networks with ability to adjust sensing range using continuous learning automata.
    
  
    J. Intell. Fuzzy Syst., 2021
    
  
  2020
Autonomic resource provisioning for multilayer cloud applications with K-nearest neighbor resource scaling and priority-based resource allocation.
    
  
    Softw. Pract. Exp., 2020
    
  
An autonomic risk- and penalty-aware resource allocation with probabilistic resource scaling mechanism for multilayer cloud resource provisioning.
    
  
    Int. J. Commun. Syst., 2020
    
  
  2017
Misbehavior analysis of IEEE 802.11 MAC layer in mobile ad hoc network using stochastic reward nets.
    
  
    Int. J. Commun. Syst., 2017
    
  
FPN-SAODV: using fuzzy petri nets for securing AODV routing protocol in mobile Ad hoc network.
    
  
    Int. J. Commun. Syst., 2017
    
  
  2012
Proposing a light weight semi-distributed IDS for mobile ad-hoc network based on nodes' mode.
    
  
    Proceedings of the 6th International Symposium on Telecommunications, 2012