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A review of clustering techniques and developments
TLDR
This paper presents a comprehensive study on clustering: exiting methods and developments made at various times. Expand
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Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment
TLDR
A new paradigm called edge computing (EC) is proposed to pave the way for the evolution of new age applications and services. Expand
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On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI
TLDR
This paper suggests an approach to augment the performance of a learning algorithm for the mental task classification on the utility of power spectral density (PSD) using feature selection. Expand
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Robust Feature-Based Automated Multi-View Human Action Recognition System
TLDR
This paper compares three practical, reliable, and generic systems for multiview video-based human action recognition, namely, the nearest neighbor classifier, Gaussian mixture model classifier and nearest mean classifier. Expand
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Subject adaptation network for EEG data analysis
TLDR
A subject adaptation network inspired by generative adversarial network (GAN) to mitigate different variances is proposed for analysing EEG data. Expand
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Exploring the Impact of Evolutionary Computing based Feature Selection in Suicidal Ideation Detection
TLDR
This paper proposes a diverse set of features and investigates into feature selection using the Firefly algorithm to build an efficient and robust supervised approach to classifying tweets with suicidal ideation. Expand
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A new data-driven neural fuzzy system with collaborative fuzzy clustering mechanism
TLDR
In this paper, a novel fuzzy rule transfer mechanism for self-constructing neural fuzzy inference networks is being proposed. Expand
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Face recognition using nonparametric-weighted Fisherfaces
TLDR
This study presents an appearance-based face recognition scheme called the nonparametric-weighted Fisherfaces (NW-Fisherfaces). Expand
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IoT-Based Wireless Polysomnography Intelligent System for Sleep Monitoring
TLDR
We propose an IoT-based wireless polysomnography system for sleep monitoring, which utilizes a battery-powered, miniature, wireless, portable, and multipurpose recorder. Expand
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A preprocessed induced partition matrix based collaborative fuzzy clustering for data analysis
TLDR
Preprocessing is generally used for data analysis in the real world datasets that are noisy, incomplete and inconsistent. Expand
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