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20192026
most citedAdaptive Model Learning of Neural Networks with UUB Stability for Robot Dynamic Estimation

9 citations · 22 across the 21 of their papers we have counts for

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7 papers · 1 filter

eess.SP2026

XMDCA-TL: An Explainable Multi-Domain Channel Attention Transfer Learning Framework for Fault Diagnosis in Industrial Gas Turbines

Amir Jahangard Takaloo, Mahdi Aliyari Shoorehdeli, Ehsan Mohammadi

In this study, a multi-task, interpretable transfer learning framework, XMDCA-TL, is proposed for fault diagnosis in industrial gas turbines. In the proposed method, the vibration…

eess.SP2026

Temporal Cross-Modal Knowledge-Distillation-Based Transfer-Learning for Gas Turbine Vibration Fault Detection

Ali Bagheri Nejad, Mahdi Aliyari-Shoorehdeli, Abolfazl Hasanzadeh

Preventing machine failure is inherently superior to reactive remediation, particularly for critical assets like gas turbines, where early fault detection (FD) is a cornerstone of…

eess.SP2025

Multilayer Perceptron Neural Network Model: A Novel Approach for LFP Contrast Sensitivity Tuning

Sahar Maleki, Reza Lashgari, Mahdi Aliyari Shoorehdeli +1

Local field potentials (LFPs) have been demonstrated to be an important measurement to study the activity of a local population of neurons. The response tunings of LFPs have been m…

eess.SP2025

Predictive Modeling of Rat Brain Local Field Potentials using Single-Variable and Multivariable Approaches

AmirAli Kalbasi, Shole Jamali, Mahdi Aliyari Shoorehdeli +1

Accurate prediction of neural dynamics in the brain's reward circuitry is crucial for elucidating how natural and pharmacological rewards influence neural activity and connectivity…

eess.SP2025

Applications of wavelet transform in classification of local field potential recorded from the rat brain in conditioned place preference paradigm

AmirAli Kalbasi, Mahdi Aliyari Shoorehdeli, Shole Jamali +1

This study investigates the multi-label classification of Local Field Potential (LFP) data from the hippocampus (HIP) and nucleus accumbens (NAc) in the rat brain, focusing on rewa…

eess.SP2022★ 2 cited

Time-Domain Classification of the Brain Reward System: Analysis of Natural and Drug Reward Driven Local Field Potential Signals in Hippocampus and Nucleus Accumbens

AmirAli Kalbasi, Shole Jamali, Mahdi Aliyari Shoorehdeli +2

Addiction is a major public health concern characterized by compulsive reward-seeking behavior. The excitatory glutamatergic signals from the hippocampus (HIP) to the Nucleus accum…

eess.SP2020

A Novel Method For Designing Transferable Soft Sensors And Its Application

Hossein Shahabadi Farahani, Alireza Fatehi, Alireza Nadali +1

In this paper, a new approach is proposed for designing transferable soft sensors. Soft sensing is one of the significant applications of data-driven methods in the condition monit…