Discovering latent semantics in web documents using fuzzy clustering

IJ Chiang, CCH Liu, YH Tsai… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Web documents are heterogeneous and complex. There exists complicated associations
within one web document and linking to the others. The high interactions between terms in …

[PDF][PDF] Intelligent Deep Learning Enabled Human Activity Recognition for Improved Medical Services.

E Dhiravidachelvi, MS Kumar, LDV Anand… - Comput. Syst. Sci …, 2023 - academia.edu
Human Activity Recognition (HAR) has been made simple in recent years, thanks to recent
advancements made in Artificial Intelligence (AI) techniques. These techniques are applied …

Model-Free Data Mining of Families of Rotating Machinery

E Hofer, M v. Mohrenschildt - Applied Sciences, 2022 - mdpi.com
Machines designed to perform the same tasks using different technologies can be organized
into families based on their similarities or differences. We are interested in identifying …

How Do Heterogeneous Networks Affect a Firm's Innovation Performance? A Research Analysis Based on Clustering and Classification

L Zhang, H Qiu, J Chen, W Zhou, H Li - Entropy, 2023 - mdpi.com
Based on authorized patents of China's artificial intelligence industry from 2013 to 2022, this
paper constructs an Industry–University–Research institution (IUR) collaboration network …

Surprisal analysis of transcripts expression levels in the presence of noise: A reliable determination of the onset of a tumor phenotype

A Gross, RD Levine - PLoS One, 2013 - journals.plos.org
Towards a reliable identification of the onset in time of a cancer phenotype, changes in
transcription levels in cell models were tested. Surprisal analysis, an information-theoretic …

Statistical thermodynamics of transcription profiles in normal development and tumorigeneses in cohorts of patients

F Remacle, RD Levine - European Biophysics Journal, 2015 - Springer
Experimental biology is providing the distribution of numerous different biological molecules
inside cells and in body fluids of patients. Statistical methods of analysis have very …

Multivariate surprisal analysis of gene expression levels

F Remacle, AS Goldstein, RD Levine - Entropy, 2016 - mdpi.com
We consider here multivariate data which we understand as the problem where each data
point i is measured for two or more distinct variables. In a typical situation there are many …

[PDF][PDF] An intelligent gestational diabetes diagnosis model using deep stacked autoencoder

A Sumathi, S Meganathan… - Computers, Materials & …, 2021 - academia.edu
Gestational Diabetes Mellitus (GDM) is one of the commonly occurring diseases among
women during pregnancy. Oral Glucose Tolerance Test (OGTT) is followed universally in the …

A unique property of single-link distance and its application in data clustering

Y Song, S Jin, J Shen - Data & Knowledge Engineering, 2011 - Elsevier
We prove a unique property of single-link distance, based on which an algorithm is
designed for data clustering. The property states that a single-link cluster is a subset with …

[图书][B] Embedded fault class detection methodology for condition-based machine monitoring and predictive maintenance

N Amruthnath - 2019 - search.proquest.com
Abstract Ever since the Second Industrial Revolution, manufacturing firms have continuously
been working on minimizing the inefficiencies and maximizing the productivity of their …