4 papers
Energy-Efficient GPU DVFS for Fine-Tuning of SLMs on Resource-constrained Embedded Devices
Jurn-Gyu Park, Sanzhar Zholdybayev, Aidar Amangeldi +1
Dynamic Voltage Frequency Scaling (DVFS) on resource-constrained embedded GPU platforms is essential for energy-efficient small language model (SLM) fine-tuning, as privacy- and pe…
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets
Aidar Amangeldi, Angsar Taigonyrov, Muhammad Huzaifa Jawad +1
This study evaluates the trade-offs between convolutional and transformer-based architectures on both medical and general-purpose image classification benchmarks. We use ResNet-18…
AI Generated Text Detection
Adilkhan Alikhanov, Aidar Amangeldi, Diar Demeubay +4
The rapid development of large language models has led to an increase in AI-generated text, with students increasingly using LLM-generated content as their own work, which violates…
Congenital Heart Disease recognition using Deep Learning/Transformer models
Aidar Amangeldi, Vladislav Yarovenko, Angsar Taigonyrov
Congenital Heart Disease (CHD) remains a leading cause of infant morbidity and mortality, yet non-invasive screening methods often yield false negatives. Deep learning models, with…