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Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
Recent advances in evolving computing paradigms: Cloud, edge, and fog technologies
Cloud computing has become integral lately due to the ever-expanding Internet-of-things
(IoT) network. It still is and continues to be the best practice for implementing complex …
(IoT) network. It still is and continues to be the best practice for implementing complex …
[HTML][HTML] Advanced feature extraction and selection approach using deep learning and Aquila optimizer for IoT intrusion detection system
Develo** cyber security is very necessary and has attracted considerable attention from
academy and industry organizations worldwide. It is also very necessary to provide …
academy and industry organizations worldwide. It is also very necessary to provide …
[HTML][HTML] A review of the modification strategies of the nature inspired algorithms for feature selection problem
This survey is an effort to provide a research repository and a useful reference for
researchers to guide them when planning to develop new Nature-inspired Algorithms …
researchers to guide them when planning to develop new Nature-inspired Algorithms …
Artificial intelligence-based solution for sorting COVID related medical waste streams and supporting data-driven decisions for smart circular economy practice
Waste generation is a continuous process that needs to be managed effectively to ensure
environmental safety and public health. The recent circular economy (CE) practices have …
environmental safety and public health. The recent circular economy (CE) practices have …
Detection of sitting posture using hierarchical image composition and deep learning
Human posture detection allows the capture of the kinematic parameters of the human body,
which is important for many applications, such as assisted living, healthcare, physical …
which is important for many applications, such as assisted living, healthcare, physical …
Application of Industry 4.0 to enhance sustainable manufacturing
The proliferation of cyber‐physical systems introduces the fourth stage of industrialization,
commonly known as Industry 4.0. There are many framework and researches have been …
commonly known as Industry 4.0. There are many framework and researches have been …
Smart home battery for the multi-objective power scheduling problem in a smart home using grey wolf optimizer
The power scheduling problem in a smart home (PSPSH) refers to the timely scheduling
operations of smart home appliances under a set of restrictions and a dynamic pricing …
operations of smart home appliances under a set of restrictions and a dynamic pricing …
[HTML][HTML] Dynamic behaviors of a modified computer virus model: insights into parameters and network attributes
Securing computers is crucial to prevent data breaches, identity theft, and financial losses.
Virus incursions disrupt operations, causing downtime and costly repairs. Protective …
Virus incursions disrupt operations, causing downtime and costly repairs. Protective …
Hybrid microgrid for microfinance institutions in rural areas–A field demonstration in West Africa
We present a hybrid energy microgrid optimization model for a microbank in a remote rural
residential area. The model is based on the use of renewable (wind turbines & solar …
residential area. The model is based on the use of renewable (wind turbines & solar …