Scalable SDN architecture with distributed placement of controllers for WAN

Z Zhao, B Wu - Concurrency and Computation: Practice and …, 2017 - Wiley Online Library
By separating control plane from data plane, software‐defined network (SDN) adopts
centralized controllers to manage data flows in the network. Nevertheless, the rapid growth …

Implementation of Parallel K‐Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt

MN Akhtar, W Ahmed, MR Kakar… - Advances in Civil …, 2020 - Wiley Online Library
Warm Mix Asphalt (WMA) and Hot Mix Asphalt (HMA) are prepared at lower temperatures,
making it more susceptible to moisture damage, which eventually leads to stripping due to …

Document similarity detection using k-means and cosine distance

W Usino, AS Prabuwono, KHS Allehaibi… - International …, 2019 - search.proquest.com
A two-year study by the Ministry of Research, Technology and Education in Indonesia
presented the evaluation of most universities in Indonesia. The findings of the evaluation are …

Integration of K-means clustering and naïve bayes classification algorithms for smart ac monitoring and control in WSAN

RP Kristianto, B Santoso… - 2019 4th International …, 2019 - ieeexplore.ieee.org
There is still a lot of excessive use of lamps, televisions, air conditioners (AC) and other
electronic goods, resulting in a surge in electricity bills charged by electricity users due to …

Improving K-mean method by finding initial centroid points

A Aslam, U Qamar, RA Khan… - 2020 22nd International …, 2020 - ieeexplore.ieee.org
The paper is concerned with Improving k-Mean Algorithm in terms of accuracy by selecting
the best initial seed points based on the provided k value. This paper presents two modified …

A new k-means-based algorithm for automatic clustering and outlier discovery

T Jambudi, S Gandhi - … Technology for Intelligent Systems: Proceedings of …, 2019 - Springer
K-means is one of the most popular partition-based clustering algorithms that partition data
objects based on attributes/features into K number of groups or clusters. In this paper, we …

An energy-saving algorithm based on base station sleeping in multi-hop D2D communication

Y Zhang, Y Zhang, D Guo… - 2016 IEEE 84th Vehicular …, 2016 - ieeexplore.ieee.org
Nowadays, with the increasing awareness of environmental and economic issues, energy
efficiency has received an enormous amount of attention. In this paper, we investigate an …

Breast Cancer Prediction Using Unsupervised Learning Technique K-Means Clustering Algorithm

S Naveen, NV Kashyap, VP Kulkarni… - … on Vision Towards …, 2023 - ieeexplore.ieee.org
Breast cancer is a highly deadly and common cancer that is spreading over the world and
claiming many lives. Breast cancer develops in the glandular tissue of the breast in the lining …

Radio Frequency Pattern Matching-Smart Subscriber Location in 5G mmWave Networks

R Játiva, O Caisaluisa, K Beltrán… - 2023 IEEE Colombian …, 2023 - ieeexplore.ieee.org
Received Signal Strength measures have been collected at the Base Station antenna array
of a wireless network operating at 28 GHz mmWaves, and virtually deployed using Open …

Drug audit based on bisecting k-means clustering algorithm

Y Tao, J Deng, X Song - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
To quickly discover suspicious data in massive data and facilitate the implementation of
audit work, we need to use scientific experimental methods to conduct in-depth analysis of …