A survey on image data analysis through clustering techniques for real world applications

S Wazarkar, BN Keshavamurthy - Journal of Visual Communication and …, 2018 - Elsevier
A huge amount of image data is being collected in real world sectors. Image data analytics
provides information about important facts and issues of a particular domain. But, it is …

A novel method for high capacity reversible data hiding scheme using difference expansion

S Mukherjee, B Jana - International Journal of Natural Computing …, 2019 - igi-global.com
Data hiding techniques are very significant in the research area of information security. In
this article, the authors propose a new reversible data hiding (RDH) scheme using …

The importance of multimedia learning modules (mlms) based on local wisdom as an instructional media of 21st century physics learning

E Delima - Journal of Physics: Conference Series, 2018 - iopscience.iop.org
This research used survey reasearch which is analyzing the needs of teachers and students.
Analyzing the needs of teaches and students is done to obtain learning media that are …

Information Systems Design and Intelligent Applications Proceedings of Third International Conference INDIA 2016, Volume 3

SC Satapathy, JK Mandal, SK Udgata… - Proceedings of third …, 2016 - Springer
The third international conference on INformation Systems Design and Intelligent
Applications (INDIA–2016) held in Visakhapatnam, India during January 8-9, 2016. The …

A flexible and reliable wireless sensor network architecture for precision agriculture in a tomato greenhouse

VD Ramdoo, KK Khedo, V Bhoyroo - Information Systems Design and …, 2019 - Springer
Agriculture in the twenty-first century faces significant challenges given the ever-increasing
need to produce more food to feed a growing population. Wireless Sensor Networks (WSNs) …

Probabilistic classifier for fashion image grouping using multi-layer feature extraction model

S Wazarkar, BN Keshavamurthy… - International Journal of …, 2018 - igi-global.com
In this article, probabilistic classification model is designed for the fashion-related images
collected from social networks. The proposed model is divided into two parts. The first is …

An improved lbp blockwise method for face recognition

N Kumar, S Behal - … Journal of Natural Computing Research (IJNCR …, 2018 - igi-global.com
Face recognition is considered as one of toughest and most crucial leading domains of
digital image processing. The human brain also uses a similar kind of technique for face …

Clustering and query optimization in fuzzy object-oriented database

TT Nguyen, B Van Doan, CN Truong… - International Journal of …, 2019 - igi-global.com
The purpose of the clustering method is to provide some meaningful partitioning of the data
set. In general, finding separate clusters with similar members is essential. A problem in …

[PDF][PDF] Blockchain technology adoption and implementation for securing iot devices

MMA Al Habsi, SSK Nair, SJSJ Al Sulti… - REVISTA GEINTEC …, 2021 - scholar.archive.org
The rise of connected world is a reality through Internet of Things (IoT) technology and is
increasingly changing the way people live, communicate and work. Perhaps, for a continued …

Optimal cluster count and coverage analysis in a Gaussian distributed WSNs using TESM

V Kumar, S Yadav, DN Sandeep, SB Dhok… - Frontiers in Intelligent …, 2020 - Springer
In wireless sensor network, node deployment can be established as a Gaussian or a uniform
distribution. Gaussian distribution provides a reduction in energy hole problem and is …