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 …
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.
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 …
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 …
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 …
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 …
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
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 …
inside cells and in body fluids of patients. Statistical methods of analysis have very …
Multivariate surprisal analysis of gene expression levels
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 …
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 …
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 …
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 …
been working on minimizing the inefficiencies and maximizing the productivity of their …