High-Speed Network DDoS Attack Detection: A Survey
Having a large number of device connections provides attackers with multiple ways to attack
a network. This situation can lead to distributed denial-of-service (DDoS) attacks, which can …
a network. This situation can lead to distributed denial-of-service (DDoS) attacks, which can …
Toward QoS monitoring in IoT edge devices driven healthcare—a systematic literature review
Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT,
mobile, and cloud computing. Cloud computing has tremendously helped the health industry …
mobile, and cloud computing. Cloud computing has tremendously helped the health industry …
Revolutionizing Healthcare: How Machine Learning is Transforming Patient Diagnoses-a Comprehensive Review of AI's Impact on Medical Diagnosis
The integration of machine learning into healthcare heralds a new era where the
convergence of technology and human compassion reshapes the very essence of healing …
convergence of technology and human compassion reshapes the very essence of healing …
A monitoring framework for health care processes using Generalized Additive Models and Auto-Encoders
In recent years, there has been a considerable focus on developing effective methods for
monitoring health care processes. Utilizing Statistical Process Monitoring (SPM) …
monitoring health care processes. Utilizing Statistical Process Monitoring (SPM) …
[HTML][HTML] Monitoring multistage healthcare processes using state space models and a machine learning based framework
Monitoring healthcare processes, such as surgical outcomes, with a keen focus on detecting
changes and unnatural conditions at an early stage is crucial for healthcare professionals …
changes and unnatural conditions at an early stage is crucial for healthcare professionals …
A systematic review of machine learning models in mental health analysis based on multi-channel multi-modal biometric signals
J Ehiabhi, H Wang - BioMedInformatics, 2023 - mdpi.com
With the increase in biosensors and data collection devices in the healthcare industry,
artificial intelligence and machine learning have attracted much attention in recent years. In …
artificial intelligence and machine learning have attracted much attention in recent years. In …
[HTML][HTML] Analyzing entropy features in time-series data for pattern recognition in neurological conditions
In the field of medical diagnosis and patient monitoring, effective pattern recognition in
neurological time-series data is essential. Traditional methods predominantly based on …
neurological time-series data is essential. Traditional methods predominantly based on …
Quantum photonics based music signal analysis with optical sensor in health monitoring using machine learning model
S Li - Optical and Quantum Electronics, 2024 - Springer
Smart health monitoring systems have been made possible by the internet of things (IoT). A
person's physical and emotional well-being can be tracked by these health monitoring …
person's physical and emotional well-being can be tracked by these health monitoring …
LoRa-based smart patient monitoring system
AP Murdan, JS Ramphul - Journal of Telecommunication …, 2023 - jtec.utem.edu.my
Advancements in mobile technologies, internet, cloud computing, digital platforms and
social media have significantly contributed to connecting people after the COVID-19 …
social media have significantly contributed to connecting people after the COVID-19 …
Deep-CNWO: a deep-chaotic nature whale optimization algorithm for early prediction of blood pressure disorder in smart healthcare settings
The integration of cloud and edge computing, along with machine learning, plays a vital role
in the development of efficient healthcare systems in smart cities. However, machine and …
in the development of efficient healthcare systems in smart cities. However, machine and …