Role of KDD in quality of experience driven detection in wireless network

E Prakash, M Sangeetha - AIP Conference Proceedings, 2022 - pubs.aip.org
Wireless NetworN is operator based, QoE Design focus on improving the use of networNs
and provides and propose a variety of networN resource simulation strategies based on the …

Removal of noise in Poisson image based on minimum risk wavelet shrinkage operator

V Sujith, B Karthik - AIP Conference Proceedings, 2022 - pubs.aip.org
Image Denoising is the procedure of getting rid of noise from images. The pixel value of pix
engaged via image sensors are supposed tainted by using Poisson noise. Multiscale …

[PDF][PDF] Low-Cost Smart Home Automation System with Advanced Features

SU Rehman, I Khan, NU Rehman… - Quaid-E-Awam Univ …, 2022 - scholar.archive.org
The proposed system demonstrates the design and implementation of a smart automation
system that can be implemented in different places such as homes, industries, hospitals, or …

Study on Behaviour of Deep Beam Strengthened with Gfrp Sheets

A Meena, KS Devi, AS Sharma - Journal of Physics: Conference …, 2021 - iopscience.iop.org
This article discusses the behavior of a reinforced concrete deep beam that has been
strengthened with GFRP sheets. The GFRP shows many essential and necessary properties …

Intrusion detection in WSN using modified AODV algorithm

S Rajesh, M Sangeetha - I3CAC 2021: Proceedings of the First …, 2021 - books.google.com
Wireless sensor network plays a major role in recent scientific developments for
transmission of information. It comprises of many sensor nodes which are connected …

Automatic attendance monitoring system using deep learning

M Shanmuhappriya - Proceedings of the First International Conference …, 2021 - eudl.eu
The manual method of attendance management is time consuming and difficult to maintain.
So, the process of management of attendance in schools and universities should be …

Smart Buildings with Self-Supervised Learning: Exploratory Research in Energy Efficiency and Occupant Comfort

A Mahammed, R Kant, S Sarkar… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
In this piece of research, how self-supervised learning could be used to make smart
buildings is discussed. By continuously learning and adapting, smart buildings can optimize …

An efficient detection of kidney stone based on hdvs deep learning approach

K Somasundaram, P Sivakumar - … of the First International Conference on …, 2021 - eudl.eu
The Kidney stones (KDS) are the most normal issues in the universe that humans are
affected with a high pain and also need an emergency diagnosis. To detect the KDS in an …

A Comparative Case Study of Smart and Green Buildings and Their Impact on Power Quality

R Ruliyanta, RAS Kusumoputro… - 2023 10th …, 2023 - ieeexplore.ieee.org
The need for buildings with the concept of green building is now very important for
environmental conservation. The smart building concept is to do efficiency to get better …

Securing the smart home environment: an experiment on the impact of explainable warnings

A Martone, F Cena, C Gena, F Vernero - Proceedings of the 2024 …, 2024 - dl.acm.org
In this paper, we present an experiment where we study the impact of different types of
explainable security warnings in a smart home environment. Results show that detailed …