Search Results - "Mousavi, Seyed Sajad"
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New optimized configuration for a hybrid PVT solar/electrolyzer/absorption chiller system utilizing the response surface method as a machine learning technique and multi-objective optimization
Published in Energy (Oxford) (15-10-2023)“…The presented study examined the multigenerational power, cooling, heating, and hydrogen systems in coastal areas using thermodynamic and economic modeling and…”
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Assessing and mapping urban ecological resilience using the loss-gain approach: A case study of Tehran, Iran
Published in Sustainable cities and society (01-04-2024)“…•An ecological resilience assessment is needed for sustainable urban governance.•The Urban Ecological Resilience Mapping (UERM) is suggested for this…”
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A Cogeneration-Coupled energy storage system utilizing hydrogen and methane-fueled CAES and ORC with ambient temperature consideration enhanced by artificial neural Network, and Multi-Objective optimization
Published in Thermal science and engineering progress (01-12-2023)Get full text
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Quantifying the relationship between lean maturity and occupational health and safety: Antecedents and leading indicators
Published in International journal of lean six sigma (09-01-2020)“…PurposeThis study aims to quantify the multifaceted relationship between lean implementation and occupational health and safety (OHS) performance. Hypotheses…”
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Automatic abstraction controller in reinforcement learning agent via automata
Published in Applied soft computing (01-12-2014)“…•Reinforcement learning is a branch of machine learning in which the agent must learn through interaction with the environment.•One of the major challenges the…”
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Quantifying the relationship between lean maturity and occupational health and safety
Published in International journal of lean six sigma (14-01-2020)“…Purpose This study aims to quantify the multifaceted relationship between lean implementation and occupational health and safety (OHS) performance. Hypotheses…”
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ECG Signal Processing for Heart Arrhythmia Detection
Published 01-01-2020“…The monitoring devices in Intensive Care Units (ICUs) are used to constantly monitor the heart function of patients in order to recognize any life-threatening…”
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ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation with Deep Visual Attention
Published in 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) (01-05-2019)“…The complexity of the patterns associated with atrial fibrillation (AF) and the high level of noise affecting these patterns have significantly limited the…”
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Deep Reinforcement Learning: An Overview
Published 23-06-2018“…In recent years, a specific machine learning method called deep learning has gained huge attraction, as it has obtained astonishing results in broad…”
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Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning
Published 28-04-2017“…Recent advances in combining deep neural network architectures with reinforcement learning techniques have shown promising potential results in solving complex…”
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