IEEE

Optimizing Leukemia Classification with FineTuned SENet Variants: A Comparative Study on Binary and Multi-Class Tasks

Abstract: Leukemia, a blood cancer diagnosed primarily through microscopic examination of blood smears, poses challenges due to the cost, time, and labor-intensive nature of the process. This paper ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
The Royal GazetteOpinion

Sex and gender – spectrum, not binaries

The election of Donald Trump has been accompanied by an aggressive and ideological attempt to redefine gender and sex, as ...
Frontiers

Medical pattern classification using a novel binary similarity approach based on an associative classifier

Classification is a central task in machine learning, underpinning applications in domains such as finance, medicine, engineering, information technology, and biology. However, machine learning ...
IEEE

Long-Tailed Defects Classification Based on Probabilistic Aggregation Network for Light-Emitting Diode Packaging Process

Abstract: Classifying different types of defects in light-emitting diode (LED) packaging poses a challenging and complex task. The difficulty in collecting diverse defect types presents a challenge ...