IJMLNCE Editorial Note Volume No 02, Issue No 03

Authors

  • Vicente Garcia Diaz University of Oviedo, Spain
  • Vijender Kumar Solanki CMR Institute of Technology, Hyderabad, TS, India https://orcid.org/0000-0001-5784-1052

Abstract

The International Journal of Machine Learning and Networked Collaborative
Engineering (IJMLNCE) ISSN 2581-3242 continues to evolve and expand, receiving more
and more quality articles for evaluation and possible publication. We are happy to share
with you that apart from the existing indexing, we are able to place our journal manuscript
with two more indexing e.g., WorldCat-OCLC and Dimensions. We are now proud to
present the Volume No-02 Issue No-03, on this occasion, we have selected five interesting
papers that are framed in the scope of the journal, covering different aspects related to
machine learning and collaborative engineering.


Küçük and Kiani [1] published a work entitled “Smart Advisor: An Intelligent
Inventory Prediction Based On Regression Model”. Authors focus on inventory
management of raw material and stock amounts in enterprises and present a model to
predict the demand of stock items by using a regression model. They analyze the outputs
of the model on a sample dataset to enable accurate estimation of the amount of stock to be
consumed in the future and to facilitate decision making.

Küçük and Kiani [1] published a work entitled “Smart Advisor: An Intelligent
Inventory Prediction Based On Regression Model”. Authors focus on inventory
management of raw material and stock amounts in enterprises and present a model to
predict the demand of stock items by using a regression model. They analyze the outputs
of the model on a sample dataset to enable accurate estimation of the amount of stock to be
consumed in the future and to facilitate decision making.

Kalaskar et al. [2] published a work entitled “Forecasting Ventricular Deviation in
Monitoring of Live ECG Signal”. This work shows the problem of the increasing number
of coronary artery diseases and ventricular arrhythmias cases. Authors propose a novel
platform for real time diagnosis of Ventricular Tachyarrhythmia with the help of a portable
electrocardiography device. In addition, it includes a solution for signal analysis and
cloud-based processing for the diagnosis.
International Journal of Machine Learning and Networked Collaborative Engineering, ISSN: 2581-3242, Vol.2 No. 3
iii

Hoang et al. [3] published a work entitled “Cow Behavior Monitoring Using a
Multidimensional Acceleration Sensor and Multiclass SVM”. In this work, authors talk
about the health of cows based on their daily behavior. Thus, they propose an automated
monitoring system for suitable management. Cow’s activities are monitored by using a
multidimensional acceleration sensor and data is processed in a server through an
algorithm based on multiclass support vector machine.

Kumar and Sairam [4] published a work entitled “Machine Learning Approach for
User Accounts Identification with Unwanted Information and data”. Authors focus on
identifying fake and suspicious accounts in Facebook in an effective way through a novel
architecture and a process flow. They also apply machine learning supervised models for
text classification and machine learning unsupervised models for image classification
respectively.

Puri et al [5] published a work entitled “Internet of Things and Healthcare
Technologies: A Valuable Synergy from Design to Implementation”. In this work, authors
introduce a review on various enabling Internet of Medical Things technologies based on
the latest research work and technology available in the marketplace. The work also
analyzes different software platforms available in the field and the current challenges that
the industry is addressing.

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Published

2018-10-11

How to Cite

Diaz, V. G., & Solanki, V. K. (2018). IJMLNCE Editorial Note Volume No 02, Issue No 03. International Journal of Machine Learning and Networked Collaborative Engineering, 2(03). Retrieved from https://mlnce.net/index.php/Home/article/view/52

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