82 citations · 153 across the 22 of their papers we have counts for
5 papers · 1 filter
Multi-modal Data Fusion and Deep Ensemble Learning for Accurate Crop Yield Prediction
Akshay Dagadu Yewle, Laman Mirzayeva, Oktay Karakuş
This study introduces RicEns-Net, a novel Deep Ensemble model designed to predict crop yields by integrating diverse data sources through multimodal data fusion techniques. The res…
High-precision Density Mapping of Marine Debris and Floating Plastics via Satellite Imagery
Henry Booth, Wanli Ma, Oktay Karakus
Combining multi-spectral satellite data and machine learning has been suggested as a method for monitoring plastic pollutants in the ocean environment. Recent studies have made the…
A Semi-supervised Learning Approach for B-line Detection in Lung Ultrasound Images
Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş +2
Studies have proved that the number of B-lines in lung ultrasound images has a strong statistical link to the amount of extravascular lung water, which is significant for hemodialy…
On Advances, Challenges and Potentials of Remote Sensing Image Analysis in Marine Debris and Suspected Plastics Monitoring
Oktay Karakuş
Marine plastic pollution is an emerging environmental problem since it pollutes the ocean, air and food whilst endangering the ocean wildlife via the ingestion and entanglements. D…
Representation Learning via Cauchy Convolutional Sparse Coding
Perla Mayo, Oktay Karakuş, Robin Holmes +1
In representation learning, Convolutional Sparse Coding (CSC) enables unsupervised learning of features by jointly optimising both an \(\ell_2\)-norm fidelity term and a sparsity e…