Smart cities' big data: Performance and cost optimization with regional computing
Smart devices in smart cities face the dual challenge of requiring real-time data processing
and storing that data permanently on the cloud for future use. This creates a significant …
and storing that data permanently on the cloud for future use. This creates a significant …
IoT-Driven Predictive Maintenance for Energy-Efficient Industrial Systems
This research examines the deployment of the internet of things (IoT) technologies for
predictive maintenance in industrial facilities in an effort to achieve energy efficiency and …
predictive maintenance in industrial facilities in an effort to achieve energy efficiency and …
Optimizing IoT Device Networks with Edge Computing to Address Latency and Bandwidth Constraints
The enormous interconnected devices or the 'Internet of Things' are one of the main
concerns when it comes to dealing with the network latency and bandwidth. Regular cloud …
concerns when it comes to dealing with the network latency and bandwidth. Regular cloud …
Optimizing Last Mile Logistics with Machine Learning and Drone Technology in Aerial Solutions
The purpose of the present paper is going to focus on one of the most important aspects of
last-mile logistics, namely drone technology. It goes further into design of UA Vs in delivery …
last-mile logistics, namely drone technology. It goes further into design of UA Vs in delivery …
Impact of machine learning on applying the best worst method for social sustainability in manufacturing supply chains
This research is carried out merging ML with BWM to intensify decision making in
manufacturing supply chain using social sustainability under light. As companies become …
manufacturing supply chain using social sustainability under light. As companies become …
Enhanced Agricultural Methods and Sustainable Farming Through IoT and AI Technology
The combination of IoT and AI technologies in the future promises to disrupt agriculture
positively while trying to solve problems affecting the sector through embracing …
positively while trying to solve problems affecting the sector through embracing …
A Comprehensive Study on Drones and Big Data for Supply Chain Optimization Using a Novel Approach
This research paper aims to provide qualitative and quantitative insights regarding the
application of drones and big data techniques in the SCM field through a new scientific …
application of drones and big data techniques in the SCM field through a new scientific …
Deep Learning Approaches for Real-Time IoT Data Processing and Analysis
Internet of Things (IoT) device availability and its efficiency have created a large amount of
data, for which real-time processing and analysis mechanisms are required. This paper …
data, for which real-time processing and analysis mechanisms are required. This paper …
A Novel Approach to Enhancing Manufacturing Efficiency and Quality Control with Industrial IoT
The application of the IIoT system has appeared as a relatively innovative method to
optimize manufacturing effectiveness in the last several years. Therefore, this study presents …
optimize manufacturing effectiveness in the last several years. Therefore, this study presents …
An Intelligent Framework for Energy Management in IoT Networks Using Machine Learning
The proposal of an intelligent solution for EM of IoT network outlined in this research work is
based on ML approach while maintaining the quality of service high. It is a new structure that …
based on ML approach while maintaining the quality of service high. It is a new structure that …