Applying Machine Learning &amp; Knowledge Discovery to Intelligent Agent-Based Recommendation for Online Learning Systems

Murugesan, S; Bharathiraja, N.; Pradeepa, K; Ravindhar, N. V.; Kumar, M Vinoth; Marappan, Raja

doi:10.1109/dicct56244.2023.10110149

Cited by 5 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…IoT-based information storage technologies in the cloud must balance 3 pairs of competing requirements: multi-tenant collection plus isolation efficiency, scaling with flexibility, & decentralized executions with unified control of infrastructure services. Additionally, distinct needs were given for massive, true, including unstructured data preparation embracing many stages, such as collected data, storage systems, & analysis techniques [14][15][16], via the use of cloud applications for IoT data exchanging, processing, & integrating. This study first presents a practical framework that defines the regions of collection, administration, disposal, and extraction of information based on the information processing function.…”

Section: Related Workmentioning

confidence: 99%

IoT Sensor Data Retrieval and Analysis in Cloud Environments for Enhanced Power Management

Arulkumar V.,

Kavin F.,

Arulkumar D.

et al. 2024

ARASET

View full text Add to dashboard Cite

The Internet of Things (IoT) brings new products to everyone to improve daily life. Concurrently other emerging technologies, including Big Data, Cloud Services, and surveillance, can participate through these technological advances. This research work explores the synergies among four systems to identify their shared functionalities and integrate them to create useful potential applications. Despite the limitations of the smart city concept, researchers would seek innovative methods to collect and process sensor information within an IoT-enabled smart building. A cornerstone of the proposed system is the utilization of cloud services as the foundational technology for a schema management platform. This platform efficiently gathers data generated by sensors within smart industrial units. Leveraging the capabilities of IoT technology, the data can be remotely managed and accessed using mobile devices with network connectivity. The proposed work addresses the challenges related with the smart city perception and supports for revolutionary approaches in the collection and manipulation of IoT Sensor data. By doing so, it imagines the creation of green, smart schemes that contribute to sustainable urban development.

show abstract

Section: Related Workmentioning

confidence: 99%