[HTML][HTML] A comprehensive survey on machine learning-based big data analytics for IoT-enabled smart healthcare system
The outbreak of chronic diseases such as COVID-19 has made a renewed call for providing
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …
[HTML][HTML] A comprehensive survey on particle swarm optimization algorithm and its applications
Y Zhang, S Wang, G Ji - Mathematical problems in engineering, 2015 - hindawi.com
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …
Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier
Recently, the mobile health care (m-healthcare) applications with Internet of Things (IoT) are
providing the various dimensionalities and the online services. These applications have …
providing the various dimensionalities and the online services. These applications have …
A deep learning approach for effective intrusion detection in wireless networks using CNN
B Riyaz, S Ganapathy - Soft Computing, 2020 - Springer
Security is playing a major role in this Internet world due to the rapid growth of Internet users.
The various intrusion detection systems were developed by many researchers in the past to …
The various intrusion detection systems were developed by many researchers in the past to …
IoT based heart disease prediction and diagnosis model for healthcare using machine learning models
M Ganesan, N Sivakumar - 2019 IEEE international conference …, 2019 - ieeexplore.ieee.org
Latest advancements in field of IoT and sensing technologies can be employed for online
healthcare services. The gigantic quantity of information is being formed through the IoT …
healthcare services. The gigantic quantity of information is being formed through the IoT …
Intelligent temporal classification and fuzzy rough set-based feature selection algorithm for intrusion detection system in WSNs
At present, Internet-based information processing systems are challenged by different kinds
of threats, which lead to various types of damages that in turn result in significant loss of …
of threats, which lead to various types of damages that in turn result in significant loss of …
Multi-objective PSO based feature selection for intrusion detection in IoT based wireless sensor networks
S Subramani, M Selvi - Optik, 2023 - Elsevier
Abstract Internet of Things (IoT) utilization is increasing every day in both industry and other
applications recently. However, the IoT communication is under security threats from …
applications recently. However, the IoT communication is under security threats from …
[HTML][HTML] A review on type-2 fuzzy neural networks for system identification
In many engineering problems, the systems dynamics are uncertain, and then, the accurate
dynamic modeling is required. Type-2 fuzzy neural networks (T2F-NNs) are extensively …
dynamic modeling is required. Type-2 fuzzy neural networks (T2F-NNs) are extensively …
An energy efficient routing algorithm for WSNs using intelligent fuzzy rules in precision agriculture
Many agricultural activities can be highly enhanced by using sensor networks and data
mining techniques. One of these activities is the regulation of the quantity of water in …
mining techniques. One of these activities is the regulation of the quantity of water in …
[HTML][HTML] iReTADS: an intelligent real-time anomaly detection system for cloud communications using temporal data summarization and neural network
A new distributed environment at less financial expenditure on communication over the
Internet is presented by cloud computing. In recent times, the increased number of users has …
Internet is presented by cloud computing. In recent times, the increased number of users has …