Hybrid cache management in IoT-based named data networking
Internet of Things (IoT) and named data network (NDN) are innovative technologies to meet
up the future Internet requirements. NDN is considered as an enabling approach to …
up the future Internet requirements. NDN is considered as an enabling approach to …
The applicability of reinforcement learning methods in the development of industry 4.0 applications
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …
problems. Our article gives a systematic overview of major types of RL methods, their …
Multi-Domain Federation Utilizing Software Defined Networking—A Review
The global growth of the Internet continues with an increase in accessibility, connected
users and new applications in emerging fields like eGames, augmented and virtual reality …
users and new applications in emerging fields like eGames, augmented and virtual reality …
[HTML][HTML] Image classification and prediction using transfer learning in colab notebook
Transfer learning is used to reuse the pre-trained model. Transfer learning uses the
knowledge which was gained from the previous task. Transfer learning is most generally …
knowledge which was gained from the previous task. Transfer learning is most generally …
Federated deep reinforcement learning for traffic monitoring in SDN-based IoT networks
This paper proposes a novel traffic monitoring framework, namely, DeepMonitor, for SDN-
based IoT networks to provide fine-grained traffic analysis capability for different IoT traffic …
based IoT networks to provide fine-grained traffic analysis capability for different IoT traffic …
RETRACTED ARTICLE: Artificial intelligence and machine learning for the green development of agriculture in the emerging manufacturing industry in the IoT platform
Y Zhou, Q Xia, Z Zhang, M Quan… - … Scandinavica, Section B …, 2022 - Taylor & Francis
In recent years, greenhouse development has been innovative in agriculture based on
information systems guidance with accelerated growth. The IoT provides an intelligent …
information systems guidance with accelerated growth. The IoT provides an intelligent …
Lattice-based cryptosystems for the security of resource-constrained IoT devices in post-quantum world: a survey
The concept of the Internet of Things (IoT) arises due to the change in the characteristics and
numbers of smart devices. Communication of things makes it important to ensure security in …
numbers of smart devices. Communication of things makes it important to ensure security in …
Load-balance scheduling for intelligent sensors deployment in industrial internet of things
Abstract The Industrial Internet of Things uses intelligent sensors to collect the physical
properties of objects placed on a large area. It provides innovative service and network …
properties of objects placed on a large area. It provides innovative service and network …
3D localization and error minimization in underwater sensor networks
Wireless sensor networks (WSNs) consist of nodes distributed in the region of interest (ROI)
that forward collected data to the sink. The node's location plays a vital role in data …
that forward collected data to the sink. The node's location plays a vital role in data …
IoT-assisted physical education training network virtualization and resource management using a deep reinforcement learning system
Q Li, PM Kumar, M Alazab - Complex & Intelligent Systems, 2022 - Springer
Abstract The Internet of Things (IoT) development made it possible for technology to
communicate physical education by connecting cost-effective heterogeneous devices and …
communicate physical education by connecting cost-effective heterogeneous devices and …