10 papers
Unlocking Biomedical Insights: Hierarchical Attention Networks for High-Dimensional Data Interpretation
Rekha R Nair, Tina Babu, Alavikunhu Panthakkan +2
The proliferation of high-dimensional datasets in fields such as genomics, healthcare, and finance has created an urgent need for machine learning models that are both highly accur…
Hybrid Autoencoder-Based Framework for Early Fault Detection in Wind Turbines
Rekha R Nair, Tina Babu, Alavikunhu Panthakkan +2
Wind turbine reliability is critical to the growing renewable energy sector, where early fault detection significantly reduces downtime and maintenance costs. This paper introduces…
A Hybrid ConvNeXt-EfficientNet AI Solution for Precise Falcon Disease Detection
Alavikunhu Panthakkan, Zubair Medammal, S M Anzar +2
Falconry, a revered tradition involving the training and hunting with falcons, requires meticulous health surveillance to ensure the health and safety of these prized birds, partic…
Advanced Deep Learning Approaches for Automated Recognition of Cuneiform Symbols
Shahad Elshehaby, Alavikunhu Panthakkan, Hussain Al-Ahmad +1
This paper presents a thoroughly automated method for identifying and interpreting cuneiform characters via advanced deep-learning algorithms. Five distinct deep-learning models we…
Evaluation of UAV-Based RGB and Multispectral Vegetation Indices for Precision Agriculture in Palm Tree Cultivation
Alavikunhu Panthakkan, S M Anzar, K. Sherin +2
Precision farming relies on accurate vegetation monitoring to enhance crop productivity and promote sustainable agricultural practices. This study presents a comprehensive evaluati…
Remote Sensing Based Crop Health Classification Using NDVI and Fully Connected Neural Networks
J. Judith, R. Tamilselvi, M. Parisa Beham +4
Accurate crop health monitoring is not only essential for improving agricultural efficiency but also for ensuring sustainable food production in the face of environmental challenge…