Machine learning–enabled direct ink writing of conductive polymer composites for enhanced performance in thermal management and current protection

SV Thummalapalli, D Patil, A Ramanathan… - Energy Storage …, 2024 - Elsevier
This study introduces a novel approach that leverages the synergy of machine learning (ML)
and Direct Ink Writing (DIW) to optimize the manufacturing feasibility of conductive polymer …

Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain?

N Makaram, S Gupta, M Pesce, J Bolton, S Stone… - Algorithms, 2023 - mdpi.com
In drug-resistant epilepsy, a visual inspection of intracranial electroencephalography (iEEG)
signals is often needed to localize the epileptogenic zone (EZ) and guide neurosurgery. The …

[PDF][PDF] Enhancing Medical Image Segmentation using Hexagonal Convolutional Neural Networks

B Gardiner, H Zhang, M Fayemiwo… - … Conference on Artificial …, 2024 - pure.ulster.ac.uk
This paper introduces Hex U-Net, an innovative segmentation framework designed for
hexagonal pixel-based images. It overcomes the shortcomings of conventional methods that …

White Blood Cell Classification Using SMOTE-SVM Method with Hybrid Feature Extraction and Image Segmentation Using Gaussian Mixture Model

T Sutabri, CA Putra - ECTI Transactions on Computer and …, 2025 - ph01.tci-thaijo.org
White blood cells are crucial to the immune system. The irregular structure of white blood
cells, along with the fact that each type has its unique structure, makes manual identification …

Multiclass classification of leukemia using white blood cell images

P Nethravathi, J Viswanath, G Gayathri… - Challenges in …, 2025 - taylorfrancis.com
Acute lymphoblastic leukemia (ALL), a type of blood cancer, predominantly affects
lymphocytes, which are specialized white blood cells crucial for immune defense. Swift …