R-GCN: A residual-gated recurrent unit convolution network model for anomaly detection in blockchain transactions

R Rajmohan, TA Kumar, SG Sandhya… - Multimedia Tools and …, 2024 - Springer
The domain of deep learning has provided an exemplary paradigm for how Artificial
Intelligence (AI) can be a disruptive technological paragon through Blockchain Technology …

A hybrid machine learning approach for early mortality prediction of ICU patients

A Mansouri, M Noei, M Saniee Abadeh - Progress in Artificial Intelligence, 2022 - Springer
Hospitals face many pressures, including limited budgets and resources. The intensive care
unit (ICU), has attracted much attention from the medical community. Patients in the ICU are …

Using Supervised Learning Models for Creating a New Fake News Analysis and Classification of a COVID-19 Dataset: A case study on Covid-19 in Iran

M Parvizimosaed, M Esnaashari… - … Conference on Web …, 2022 - ieeexplore.ieee.org
Today, the growth of the coronavirus as a pandemic and its global expansion is a significant
concern in our society and the international community. However, in recent years, many …

Highly Scalable Smart Metering IoT Platform Based on Microservice Architecture

M Parvizi, M Noei, M Yalpanian - 2022 Sixth International …, 2022 - ieeexplore.ieee.org
In the past few years, the Internet of Things (IoT) technology has influenced communication
world and has emerged diverse smart approaches in separate parts like education …

Ovarian Tumor Ultrasound Image Segmentation with Deep Neural Networks

M Siahpoosh, M Imani… - 2024 13th Iranian/3rd …, 2024 - ieeexplore.ieee.org
The precise and automated segmentation of ovarian tumors in medical images plays a
pivotal role in the treatment of ovarian cancer in women. U-Net has demonstrated …