IoT based smart agrotech system for verification of Urban farming parameters
The recent seen intelligent technologies like the internet of things (IoT), computer vision etc.
facilitates farming activities and also provides flexible farm operations. On the other side …
facilitates farming activities and also provides flexible farm operations. On the other side …
A novel hybrid optimization for cluster‐based routing protocol in information-centric wireless sensor networks for IoT based mobile edge computing
T Vaiyapuri, VS Parvathy, V Manikandan… - Wireless Personal …, 2022 - Springer
In present days, the utilization of mobile edge computing (MEC) and Internet of Things (IoT)
in mobile networks offers a bottleneck in the evolving technological requirements. Wireless …
in mobile networks offers a bottleneck in the evolving technological requirements. Wireless …
An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city
In the development of smart cities, the intelligent transportation system (ITS) plays a major
role. The dynamic and chaotic nature of the traffic information makes the accurate …
role. The dynamic and chaotic nature of the traffic information makes the accurate …
Trust management with fault-tolerant supervised routing for smart cities using internet of things
The Internet of Things (IoT) connects heterogeneous sensors with dynamic networks to
monitor smart communication and collect real-time data. Such systems are well adapted to …
monitor smart communication and collect real-time data. Such systems are well adapted to …
An edge based hybrid intrusion detection framework for mobile edge computing
Abstract The Mobile Edge Computing (MEC) model attracts more users to its services due to
its characteristics and rapid delivery approach. This network architecture capability enables …
its characteristics and rapid delivery approach. This network architecture capability enables …
[HTML][HTML] Trend analysis using agglomerative hierarchical clustering approach for time series big data
S Pasupathi, V Shanmuganathan, K Madasamy… - The Journal of …, 2021 - Springer
Road traffic accidents are a 'global tragedy'that generates unpredictable chunks of data
having heterogeneity. To avoid this heterogeneous tragedy, we need to fraternize and …
having heterogeneity. To avoid this heterogeneous tragedy, we need to fraternize and …
Towards Green Innovation in Smart Cities: Leveraging Traffic Flow Prediction with Machine Learning Algorithms for Sustainable Transportation Systems
X Tao, L Cheng, R Zhang, WK Chan, H Chao, J Qin - Sustainability, 2023 - mdpi.com
The emergence of smart cities has presented the prospect of transforming urban
transportation systems into more sustainable and environmentally friendly entities. A pivotal …
transportation systems into more sustainable and environmentally friendly entities. A pivotal …
Lightweight intrusion detection for edge computing networks using deep forest and bio-inspired algorithms
Today, incorporating advanced machine learning techniques into intrusion detection
systems (IDSs) plays a crucial role in securing mobile edge computing systems. However …
systems (IDSs) plays a crucial role in securing mobile edge computing systems. However …
[HTML][HTML] The application of convolutional neural network model in diagnosis and nursing of MR imaging in Alzheimer's disease
The disease Alzheimer is an irrepressible neurologicalbrain disorder. Earlier detection and
proper treatment of Alzheimer's disease can help for brain tissue damage prevention. The …
proper treatment of Alzheimer's disease can help for brain tissue damage prevention. The …
Line monitoring and identification based on roadmap towards edge computing
In recent years, with the rapid growth of Internet of Things (IoT) and cloud services having
received special attention from the research community across the world. IoT provides a …
received special attention from the research community across the world. IoT provides a …