Enhancing Early Alzheimer's Disease Detection Through Big Data and Ensemble Few-Shot Learning
Alzheimer's disease is a severe brain disorder that causes harm in various brain areas and
leads to memory damage. The limited availability of labeled medical data poses a significant …
leads to memory damage. The limited availability of labeled medical data poses a significant …
Authentication by Intelligent Learning: A Novel Hybrid Deep Learning/Machine-Learning Radio Frequency Fingerprinting Scheme
TN Al-Qabbani, G Oligeri… - IEEE Journal of Radio …, 2024 - ieeexplore.ieee.org
LoRa technology, widely used in the Internet of Things (IoT) domain, faces challenges with
traditional cryptographic authentication methods due to power constraints and computing …
traditional cryptographic authentication methods due to power constraints and computing …
[PDF][PDF] PREDICTIVE MODELING OF HbA1C VALUES: A COMPARATIVE EVALUATION OF MACHINE LEARNING TECHNIQUES USING DAILY BLOOD GLUCOSE …
NV Kothekar - 2024 - scholarworks.calstate.edu
The ubiquitous nature of diabetes mellitus (DM) is rising too quickly worldwide. An increase
in blood sugar levels is a symptom of DM. The pancreas of the human body produces the …
in blood sugar levels is a symptom of DM. The pancreas of the human body produces the …