IoT network slicing on virtual layers of homogeneous data for improved algorithm operation in smart buildings

R Casado-Vara, A Martin-del Rey, S Affes… - Future generation …, 2020 - Elsevier
With its strong coverage, low energy consumption, low cost and great connectivity, the
Internet of Things technology has become the key technology in smart cities. However, faced …

Low-rank kernel learning for graph-based clustering

Z Kang, L Wen, W Chen, Z Xu - Knowledge-Based Systems, 2019 - Elsevier
Constructing the adjacency graph is fundamental to graph-based clustering. Graph learning
in kernel space has shown impressive performance on a number of benchmark data sets …

A text analytics approach for online retailing service improvement: Evidence from Twitter

NF Ibrahim, X Wang - Decision Support Systems, 2019 - Elsevier
The purpose of this study is to identify the customers' primary topics of concern regarding
online retail brands that are shared among Twitter users. This study collects tweets …

Topic analysis of Road safety inspections using latent dirichlet allocation: A case study of roadside safety in Irish main roads

C Roque, JL Cardoso, T Connell, G Schermers… - Accident Analysis & …, 2019 - Elsevier
Abstract Under the Safe System framework, Road Authorities have a responsibility to deliver
inherently safe roads and streets. Addressing this problem depends on knowledge of the …

View-based 3-D model retrieval: A benchmark

AA Liu, WZ Nie, Y Gao, YT Su - IEEE transactions on …, 2017 - ieeexplore.ieee.org
View-based 3-D model retrieval is one of the most important techniques in numerous
applications of computer vision. While many methods have been proposed in recent years …

An efficient preprocessing method for supervised sentiment analysis by converting sentences to numerical vectors: a twitter case study

MK Sohrabi, F Hemmatian - Multimedia tools and applications, 2019 - Springer
Along with the significant growth of social media, individuals and companies are
increasingly receiving public opinions which direct their decisions. Opinion mining, which is …

Topic-based video analysis: A survey

R Pal, AA Sekh, DP Dogra, S Kar, PP Roy… - ACM Computing …, 2021 - dl.acm.org
Manual processing of a large volume of video data captured through closed-circuit television
is challenging due to various reasons. First, manual analysis is highly time-consuming …

Latent Semantic Indexing (LSI) and Hierarchical Dirichlet Process (HDP) Models on News Data

AR Lubis, S Prayudani, Y Fatmi… - 2022 5th International …, 2022 - ieeexplore.ieee.org
News has become a very important need in modern society. Almost every level of society
needs information such as news. Online news gets the attention of writers because there are …

Graph partitioning and visualization in graph mining: a survey

SA Bhavsar, VH Patil, AH Patil - Multimedia tools and applications, 2022 - Springer
Graph mining is a process of obtaining one or more sub-graphs and has been a very
attractive research topic over the last two decades. It has found many practical applications …

Detecting bursts in sentiment-aware topics from social media

K Xu, G Qi, J Huang, T Wu, X Fu - Knowledge-Based Systems, 2018 - Elsevier
Nowadays plenty of user-generated posts, eg, sina weibos, are published on the social
media. The posts contain the public's sentiments (ie, positive or negative) towards various …