2 citations · 4 across the 7 of their papers we have counts for
8 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…
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…
AI-Driven Solutions for Falcon Disease Classification: Concatenated ConvNeXt cum EfficientNet AI Model Approach
Alavikunhu Panthakkan, Zubair Medammal, S M Anzar +2
Falconry, an ancient practice of training and hunting with falcons, emphasizes the need for vigilant health monitoring to ensure the well-being of these highly valued birds, especi…
Analysing Osteoporosis Detection: A Comparative Study of CNN and FNN
R. Geetha, S. Arulselvi, R. Tamilselvi +4
Osteoporosis causes progressive loss of bone density and strength, causing a more elevated risk of fracture than in normal healthy bones. It is estimated that some 1 in 3 women and…
Advancements in Ship Detection: Comparative Analysis of Optical and Hyperspectral Sensors
Alyazia Al Shamsi, Alavikunhu Panthakkan, Saeed Al Mansoori +1
In marine surveillance, applications span military and civilian domains, including ship detection, marine traffic control, and disaster management. Optical and hyperspectral satell…
Applications of Knowledge Distillation in Remote Sensing: A Survey
Yassine Himeur, Nour Aburaed, Omar Elharrouss +4
With the ever-growing complexity of models in the field of remote sensing (RS), there is an increasing demand for solutions that balance model accuracy with computational efficienc…
SDF2Net: Shallow to Deep Feature Fusion Network for PolSAR Image Classification
Mohammed Q. Alkhatib, M. Sami Zitouni, Mina Al-Saad +2
Polarimetric synthetic aperture radar (PolSAR) images encompass valuable information that can facilitate extensive land cover interpretation and generate diverse output products. E…