Meisam Yadollahzadeh Tabari - researchr alias

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Viewing Publication 1 - 16 from 16

2024

Customer analysis using a deep inferarer classifier and a variable-sensitive clustering algorithm optimized by the Cuckoo search methodMotahare Ghavidel, Meisam Yadollahzadeh Tabari, Mehdi GolsorkhtabariAmiri. jifs, 46(1):339-353, January 2024. [doi]

Providing an Approach for Early Prediction of Fall in Human Activities Based on Wearable Sensor Data and the Use of Deep Learning AlgorithmsRahman Keramati Hatkeposhti, Meisam Yadollahzadeh Tabari, Mehdi GolsorkhtabariAmiri. cj, 67(2):658-673, February 2024. [doi]

Diagnosing of Parkinson's disease based on hand drawing analysis using Bi-Directional LSTM equipped with fuzzy inferential soft-max classifierElias Ramzani, Meisam Yadollahzadeh Tabari, Mehdi Golsorkhtabaramiri, Ali A. Pouyan. imst, 34(1), January 2024. [doi]

Wearable Sensor-Based Human Activity Recognition System Employing Bi-LSTM AlgorithmAmir Tehrani, Meisam Yadollahzadeh Tabari, Aidin Zehtab-Salmasi, Rasul Enayatifar. cj, 67(3):961-975, 2024. [doi]

2022

Combined deep centralized coordinate learning and hybrid loss for human activity recognitionMasoumeh Bourjandi, Meisam Yadollahzadeh Tabari, Mehdi Golsorkhtabaramiri. concurrency, 34(22), 2022. [doi]

Predicting user's movement path in indoor environments using the stacked deep learning method and the fuzzy soft-max classifierMasoumeh Bourjandi, Meisam Yadollahzadeh Tabari, Mehdi GolsorkhtabariAmiri. iet-spr, 16(5):546-561, 2022. [doi]

Online multi-object tracking based on time and frequency domain featuresMahbubeh Nazarloo, Meisam Yadollahzadeh Tabari, Homayun Motameni. iet-cdt, 16(1):19-28, 2022. [doi]

Solving the target coverage problem in multilevel wireless networks capable of adjusting the sensing angle using continuous learning automataAzam Qarehkhani, Mehdi Golsorkhtabaramiri, Hosein Mohamadi, Meisam Yadollahzadeh Tabari. iet-com, 16(2):151-163, 2022. [doi]

Proposing a Fuzzy Soft-max-based classifier in a hybrid deep learning architecture for human activity recognitionReza Shakerian, Meisam Yadollahzadeh Tabari, Seyed Yaser Bozorgi Rad. iet-bmt, 11(2):171-186, 2022. [doi]

2021

Solving target coverage problem in directional sensor networks with ability to adjust sensing range using continuous learning automataAzam Qarehkhani, Mehdi Golsorkhtabaramiri, Hosein Mohamadi, Meisam Yadollahzadeh Tabari. jifs, 41(6):6831-6844, 2021. [doi]

An Stochastic Reward net Model for Performance Analysis of Network layer in Mobile Ad Hoc Network Under the Workload of Misbehvaior NodesMeisam Yadollahzadeh Tabari. wpc, 118(2):1087-1109, 2021. [doi]

2020

Autonomic resource provisioning for multilayer cloud applications with K-nearest neighbor resource scaling and priority-based resource allocationArash Mazidi, Mehdi Golsorkhtabaramiri, Meisam Yadollahzadeh Tabari. SPE, 50(8):1600-1625, 2020. [doi]

An autonomic risk- and penalty-aware resource allocation with probabilistic resource scaling mechanism for multilayer cloud resource provisioningArash Mazidi, Mehdi Golsorkhtabaramiri, Meisam Yadollahzadeh Tabari. ijcomsys, 33(7), 2020. [doi]

2017

FPN-SAODV: using fuzzy petri nets for securing AODV routing protocol in mobile Ad hoc networkAli A. Pouyan, Meisam Yadollahzadeh Tabari. ijcomsys, 30(1), 2017. [doi]

Misbehavior analysis of IEEE 802.11 MAC layer in mobile ad hoc network using stochastic reward netsMeisam Yadollahzadeh Tabari, Ali A. Pouyan. ijcomsys, 30(16), 2017. [doi]

2012

Proposing a light weight semi-distributed IDS for mobile ad-hoc network based on nodes' modeMeisam Yadollahzadeh Tabari, Hamid Hassanpour, Ali Pouyan, Saman Saleki. istel 2012: 948-953 [doi]

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