activity
20152023
most citedGlobal Attention-based Encoder-Decoder LSTM Model for Temperature Prediction of Permanent Magnet Synchronous Motors

8 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20233 cited

Advanced Deep Regression Models for Forecasting Time Series Oil Production

Siavash Hosseini, Thangarajah Akilan

Global oil demand is rapidly increasing and is expected to reach 106.3 million barrels per day by 2040. Thus, it is vital for hydrocarbon extraction industries to forecast their pr…

eess.IV20231 cited

Multi-class Brain Tumor Segmentation using Graph Attention Network

Dhrumil Patel, Dhruv Patel, Rudra Saxena +1

Brain tumor segmentation from magnetic resonance imaging (MRI) plays an important role in diagnostic radiology. To overcome the practical issues in manual approaches, there is a hu…

cs.LG2022

ANOVA-based Automatic Attribute Selection and a Predictive Model for Heart Disease Prognosis

Mohammed Nowshad Ruhani Chowdhury, Wandong Zhang, Thangarajah Akilan

Studies show that Studies that cardiovascular diseases (CVDs) are malignant for human health. Thus, it is important to have an efficient way of CVD prognosis. In response to this,…

cs.LG20228 cited

Global Attention-based Encoder-Decoder LSTM Model for Temperature Prediction of Permanent Magnet Synchronous Motors

Jun Li, Thangarajah Akilan

Temperature monitoring is critical for electrical motors to determine if device protection measures should be executed. However, the complexity of the internal structure of Permane…

cs.CV20154 cited

Implementation of Auto Monitoring and Short-Message-Service System via GSM Modem

Akilan Thangarajah, Buddhapala Wongkaew, Mongkol Ekpanyapong

Auto-Monitoring and Short-Messaging-Service System is a real-time monitoring system for any critical operational environments. It detects an undesired event occurring in the enviro…