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Machine learning algorithms against hacking attack and detection success comparison
(Institute of Electrical and Electronics Engineers Inc., 2020)
Power system protection units has got enormous importance with the growing risk of cyber-attacks. To create sustainable and well protected system, power system data must be healthy. For that purpose, many machine learning ...
Assessing Employee Attrition Using Classifications Algorithms
(Association for Computing Machinery, 2020)
Employees leave an organization when other organizations offer better opportunities than their current organizations. Continuity and sustenance and even completion of jobs are crucial issues for the companies not to suffer ...
Peer-to-Peer Localization via On-board Sensing for Aerial Flocking
(Institute of Electrical and Electronics Engineers Inc., 2020)
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The performance of mobile multi-robot systems dramatically depends on the mutual awareness of individual robots, particularly the positions of ...
A Searching and Automatic Video Tagging Tool for Events of Interest during Volleyball Training Sessions
(ASSOC COMPUTING MACHINERY, 1515 BROADWAY, NEW YORK, NY 10036-9998 USA, 2019)
Quick and easy access to performance data during matches and training sessions is important for both players and coaches. While there are many video tagging systems available, these systems require manual effort. This paper ...
Common miRNA signatures in a group of rare neuromuscular disorders
(WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2018)
Neuromuscular disorders (NMD) are heterogeneous group ofgenetic diseases that encompasses many different syndromes anddiseases that either directly or indirectly impairs the function ofskeletal muscle. However, there are ...
Evaluation of Dominant and Non-Dominant Hand Movements For Volleyball Action Modelling
(ASSOC COMPUTING MACHINERY, 1515 BROADWAY, NEW YORK, NY 10036-9998 USA, 2019)
In this paper, we assess the use of Inertial Measurement Units (IMU) in recognising different volleyball-specific actions. Analysis of the results suggests that all sensors in the IMU (i.e. magnetometer, accelerometer, ...
A Data Mining Method For Refining Groups In Data Using Dynamic Model Based Clustering
(IEEE, 2013)
A new data mining method is proposed for
determining the number and structure of clusters, and refining
groups in multivariate heterogeneous data set including groups,
partly and completely overlapped group structures ...
A Model Selection Algorithm For Mixture Model Clustering Of Heterogeneous Multivariate Data
(IEEE, 2013)
A model selection algorithm is developed for finding the best model among a set of mixture of normal densities fitted to heterogeneous multivariate data. Model selection algorithm proposed first finds total number of mixture ...
A Top-Down Approach for Finding Affected Pathway Subnetworks in Type 2 Diabetes
(IEEE, 2020)
Diyabet (Diabetes Mellitus, DM), insülin üreten
pankreas beta hücrelerindeki fonksiyon bozukluğu, insülin direnci
veya insülinin işlevselliğinin bozulması ile meydana gelen bir tür
metabolik bozukluktur. Diyabet vakalarının ...
Seamless Mobile Data Offloading in Heterogeneous Wireless Networks based on IEEE 802.21 and User Experience
(IEEE, 2014)
The increase on smartphone usage has brought the burden of data traffic with it. Operators are looking for cost-effective solutions to overcome the problem of 3G infrastructure for high contention traffic scenarios. Several ...