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Hassan Akbari

As seen in: Nature, Royal Society of Chemistry
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Articles

Spatiotemporal prediction of chlorophyll-a in semi-enclosed gulfs using a hybrid graph neural network-transformer framework with satellite data and causal analysis

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By Hassan Akbari, Mohammad Reza Nikoo, Pouya Zarbipour, Atefe Kazemi Choolanak
| Nature Verified
Abstract Accurate monitoring and prediction of Chlorophyll-a (Chl-a) concentrations are critical for protecting desalination systems from algal blooms. This study presents an advanced framework employing the Graph Neural Network Transformer Model (GNN-T) to predict the spatiotemporal dynamics of Chl-a in semi-enclosed marine environments, such as the Persian Gulf, a key region for desalination facilities in the Middle East.
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Advancements in electrochemical sensor technology for warfarin detection: a comprehensive review

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By Hassan Akbari, Babol Noshirvani, Mostafa Rahimnejad, Hossein Amani
| Royal Society of Chemistry Verified
Advancements in electrochemical sensor technology for warfarin detection: a comprehensive review Warfarin (WA), the most prescribed oral anticoagulant in patients with atrial fibrillation, is widely utilized for the treatment of various diseases, such as vascular disorders, venous thrombosis, and atrial fibrillation. However, its abnormal concentration is linked to a variety of disorders and diseases, namely bleeding while brushing teeth, skin tissue issues, hair loss, and chest pain.
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Towards reconstructing intelligible speech from the human auditory cortex

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By Jose L. Herrero, Ashesh D. Mehta, Hassan Akbari, Bahar Khalighinejad
| Nature Verified
Abstract Auditory stimulus reconstruction is a technique that finds the best approximation of the acoustic stimulus from the population of evoked neural activity. Reconstructing speech from the human auditory cortex creates the possibility of a speech neuroprosthetic to establish a direct communication with the brain and has been shown to be possible in both overt and covert conditions.
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