An Intelligent Incremental Filtering Feature Selection and Clustering Algorithm for Effective Classification

Kanimozhi, U.; Manjula, D.

doi:10.1080/10798587.2017.1307626

Cited by 9 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…5, with varying numbers of k's. A detailed account of the applications of k-mean clustering technique can be seen in diverse fields of inquiry, for example, in optimization literature [18,19], in variability analysis [20,21], in artificial intelligent networking [22], and more recently in infectious disease prediction [23]. All panels of Fig.…”

Section: Methodsmentioning

confidence: 99%

Is Social Distancing, and Quarantine Effective in Restricting COVID-19 Outbreak? Statistical Evidences from Wuhan, China

Cheema¹,

Kifayat²,

Rahman³

et al. 2021

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

The flow of novel coronavirus (COVID-19) has affected almost every aspect of human life around the globe. Being the emerging ground and early sufferer of the virus, Wuhan city-data remains a case of multifold significance. Further, it is of notable importance to explore the impact of unique and unprecedented public health response of Chinese authorities-the extreme lockdown of the city. In this research, we investigate the statistical nature of the viral transmission concerning social distancing, extreme quarantine, and robust lockdown interventions. We observed highly convincing and statistically significant evidences in favor of quarantine and social distancing approaches. These findings might help countries, now facing, or likely to face the wave of the virus. We analyzed Wuhan-based data of "number of deaths" and "confirmed cases," extracted from China CDC weekly database, dated from February 13, 2020, to March 24, 2020. To estimate the underlying group structure, the assembled data is further subdivided into three blocks, each consists of two weeks. Thus, the complete data set is studied in three phases, such as, phase 1 (

show abstract

Section: Methodsmentioning

confidence: 99%

Is Social Distancing, and Quarantine Effective in Restricting COVID-19 Outbreak? Statistical Evidences from Wuhan, China

Cheema¹,

Kifayat²,

Rahman³

et al. 2021

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…In another previous method, the main focus was to consider the use of many attributes to make CH specialized decisions in order to efficiently select production and technology for data routing [20]. The existing work's system performance is dependent on the allocation of a delay element with a different end-to-end delay, thereby the overall system performance may get affected as the delay allocation of one component affects the other components [21]. The surevy provides the following conclusions:…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Cluster in Wireless Sensor Network Using Life Time Delay Clustering Algorithms

Kumar¹,

Jayapandian²,

Balasubramanie³

2022

Computer Systems Science and Engineering

View full text Add to dashboard Cite

Through Wireless Sensor Networks (WSN) formation, industrial and academic communities have seen remarkable development in recent decades. One of the most common techniques to derive the best out of wireless sensor networks is to upgrade the operating group. The most important problem is the arrangement of optimal number of sensor nodes as clusters to discuss clustering method. In this method, new client nodes and dynamic methods are used to determine the optimal number of clusters and cluster heads which are to be better organized and proposed to classify each round. Parameters of effective energy use and the ability to decide the best method of attachments are included. The Problem coverage find change ability network route due to which traffic and delays keep the performance to be very high. A newer version of Gravity Analysis Algorithm (GAA) is used to solve this problem. This proposed new approach GAA is introduced to improve network lifetime, increase system energy efficiency and end delay performance. Simulation results show that modified GAA performance is better than other networks and it has more advanced Life Time Delay Clustering Algorithms-LTDCA protocols. The proposed method provides a set of data collection and increased throughput in wireless sensor networks.

show abstract

ET-PointPillars: improved PointPillars for 3D object detection based on optimized voxel downsampling

Liu,

Yang,

Tong

et al. 2024

Machine Vision and Applications

View full text Add to dashboard Cite

An Intelligent Incremental Filtering Feature Selection and Clustering Algorithm for Effective Classification

Cited by 9 publications

References 30 publications

Is Social Distancing, and Quarantine Effective in Restricting COVID-19 Outbreak? Statistical Evidences from Wuhan, China

Is Social Distancing, and Quarantine Effective in Restricting COVID-19 Outbreak? Statistical Evidences from Wuhan, China

Energy-Efficient Cluster in Wireless Sensor Network Using Life Time Delay Clustering Algorithms

ET-PointPillars: improved PointPillars for 3D object detection based on optimized voxel downsampling

Contact Info

Product

Resources

About