Where is the greatest potential for resource recovery in wastewater treatment plants? von Renfrew, D., Vasilaki, V., McLeod, A., Lake, A., Danishvar, S., Katsou, E.

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Data-driven versus conventional N2O EF quantification methods in wastewater; how can we quantify reliable annual EFs? von Vasilaki, V., Danishvar, S., Mousavi, A., Katsou, E.

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Automatic Recognition of Multiple Emotional Classes from EEG Signals through the Use of Graph Theory and Convolutional Neural Networks von Mohajelin, Fatemeh, Sheykhivand, Sobhan, Shabani, Abbas, Danishvar, Morad, Danishvar, Sebelan, Lahijan, Lida Zare

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Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing von Psarommatis, Foivos, Danishvar, Morad, Mousavi, Alireza, Kiritsis, Dimitris

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Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG von Moghaddari, Majid, Lighvan, Mina Zolfy, Danishvar, Sebelan

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Classification cardiac beats using arterial blood pressure signal based on discrete wavelet transform and deep convolutional neural network von Arvanaghi, Roghayyeh, Danishvar, Sebelan, Danishvar, Morad

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The Genomics of Industrial Process Through the Qualia of Markovian Behavior von Danishvar, Morad, Mousavi, Alireza, Danishvar, Sebelan

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Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network von Khoshkhabar, Maryam, Meshgini, Saeed, Afrouzian, Reza, Danishvar, Sebelan

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Boosting Iris Recognition by Margin-Based Loss Functions von Alinia Lat, Reihan, Danishvar, Sebelan, Heravi, Hamed, Danishvar, Morad

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Automatically Identified EEG Signals of Movement Intention Based on CNN Network (End-To-End) von Shahini, Nahal, Bahrami, Zeinab, Sheykhivand, Sobhan, Marandi, Saba, Danishvar, Morad, Danishvar, Sebelan, Roosta, Yousef

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The Design of a Photonic Crystal Fiber for Hydrogen Cyanide Gas Detection von Pourfathi Fard, Abdolreza, Makouei, Somayeh, Danishvar, Morad, Danishvar, Sebelan

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Coarse Return Prediction in a Cement Industry's Closed Grinding Circuit System through a Fully Connected Deep Neural Network (FCDNN) Model von Danishvar, Morad, Danishvar, Sebelan, Souza, Francisco, Sousa, Pedro, Mousavi, Alireza

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Energy-Aware Flowshop Scheduling: A Case for AI-Driven Sustainable Manufacturing von Danishvar, Morad, Danishvar, Sebelan, Katsou, Evina, Mansouri, S. Afshin, Mousavi, Alireza

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Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach von Peivandi, Mohammad, Ardabili, Sevda Zafarmandi, Sheykhivand, Sobhan, Danishvar, Sebelan

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An Automatic Lie Detection Model Using EEG Signals Based on the Combination of Type 2 Fuzzy Sets and Deep Graph Convolutional Networks von Rahmani, Mahsan, Mohajelin, Fatemeh, Khaleghi, Nastaran, Sheykhivand, Sobhan, Danishvar, Sebelan

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Assessing circularity of multi-sectoral systems under the Water-Energy-Food-Ecosystems (WEFE) nexus von Nika, C.E., Vasilaki, V., Renfrew, D., Danishvar, M., Echchelh, A., Katsou, E.

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Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network von Khaleghi, Nastaran, Hashemi, Shaghayegh, Ardabili, Sevda Zafarmandi, Sheykhivand, Sobhan, Danishvar, Sebelan

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Specialized gray matter segmentation via a generative adversarial network: application on brain white matter hyperintensities classification von Bawil, Mahdi Bashiri, Shamsi, Mousa, Bavil, Abolhassan Shakeri, Danishvar, Sebelan

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A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks von Ardabili, Sevda Zafarmandi, Bahmani, Soufia, Lahijan, Lida Zare, Khaleghi, Nastaran, Sheykhivand, Sobhan, Danishvar, Sebelan

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Qualitative Classification of Proximal Femoral Bone Using Geometric Features and Texture Analysis in Collected MRI Images for Bone Density Evaluation von Najafi, Mojtaba, Yousefi Rezaii, Tohid, Danishvar, Sebelan, Razavi, Seyed Naser

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