Few-shot IoT attack detection based on SSDSAE and adaptive loss weighted meta residual network

W Ma, L Ma, K Li, J Guo - Information Fusion, 2023 - Elsevier
Abstract The Internet of Things (IoT) is an open and comprehensive network of smart
objects. Unfortunately, it is also becoming increasingly vulnerable to security attacks during …

IoT-Driven and the Role of Robotic Technology in Healthcare

AS Olayinka, TC Olayinka, CO Adetunji… - Health Technologies …, 2025 - taylorfrancis.com
The motivation behind this chapter is to improve the way and manner in which healthcare
delivery is handled in terms of safe and effective medical care. Technological developments …

Machine Learning Applications that Might Support Home-Based Screening of Parkinson's Disease: A Scoping Review

C Abreu, G Costa, JT Oliveira, V Hanchar… - … Information Technology & …, 2023 - Springer
This scoping review aimed to analyse the state of the art of Machine Learning (ML)
techniques that might support home-based screening of Parkinson's disease. An electronic …

A Low-Dimensional Feature Vector Representation for Gait-based Parkinson's Disease Detection

E Ölmez, O Akbulut, A Sertbaş - Kocaeli Journal of Science and …, 2023 - dergipark.org.tr
Thanks to the developing technology, Parkinson's disease can be detected by using
datasets which are obtained from different sources. Gait activity analysis is one of the …

Training systems and methods for predicting knee adduction moment

HEO Yunjung, UM Jumyung, JK Shim… - US Patent …, 2024 - Google Patents
A method for training an algorithm for predicting a knee adduction moment (KAM) includes,
while each subject walks over forceplates, capturing kinematic data, generating first ground …

[引用][C] Comparison of Classification Models for Optimal Performance Evaluation in Humans for Osteoporosis and Heart Attack Through Valine Amino Acid.

S Sasikala, K Sharmila - International Journal of Early Childhood Special …, 2022