[HTML][HTML] Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City

Y Liu, A Singleton, D Arribas-Bel, M Chen - Computers, Environment and …, 2021 - Elsevier
Urban areas of interest (AOIs) represent areas within the urban environment featuring high
levels of public interaction, with their understanding holding utility for a wide range of urban …

Recovery of forest vegetation in a burnt area in the Republic of Korea: A perspective based on sentinel-2 data

Y Kim, MH Jeong, M Youm, J Kim, J Kim - Applied Sciences, 2021 - mdpi.com
Forest fires are severe disasters that cause significant damage in the Republic of Korea and
the entire world, and an effort is being made to prevent forest fires internationally. The …

A comparative analysis of clustering quality based on internal validation indices for dimensionally reduced social media data

S Renjith, A Sreekumar, M Jathavedan - International Conference on …, 2019 - Springer
Almost all modern industries leverage data analytics to deal with various dimensions of their
business like demand forecasting, targeted marketing, and supply chain planning. In …

Remote sensing framework for geological mapping via stacked autoencoders and clustering

S Nagar, E Farahbakhsh, J Awange… - arXiv preprint arXiv …, 2024 - arxiv.org
Supervised learning methods for geological mapping via remote sensing face limitations
due to the scarcity of accurately labelled training data. In contrast, unsupervised learning …

SemRec–An efficient ensemble recommender with sentiment based clustering for social media text corpus

S Renjith, A Sreekumar… - … : Practice and Experience, 2021 - Wiley Online Library
The frequent user interactions happening in the form of textual contents like reviews, ratings,
tags, blogs, testimonials, and so forth transformed the social media platform into a …

[PDF][PDF] An empirical research and comparative analysis of clustering performance for processing categorical and numerical data extracts from social media

S Renjith, A Sreekumar, M Jathavedan - Acta Scientiarum …, 2022 - academia.edu
Social media has significantly influenced modern lifestyle and the way in which most of the
industries operate their business. Social media data refers to the contents created by users …

SMaRT: a framework for social media based recommender for tourism

S Renjith, A Sreekumar, M Jathavedan - Second International Conference …, 2021 - Springer
Social media has become a prominent source for information in multiple business domains
as it provides a true and real-time reflection of societal inclinations. The tourism domain …

Taxonomy grooming algorithm‐An autodidactic domain specific dimensionality reduction approach for fast clustering of social media text data

S Renjith, A Sreekumar… - … : Practice and Experience, 2022 - Wiley Online Library
Social media being the most eminent source toward the growth of big data is important for
information retrieval‐based applications to improve the efficiency in proportional to the …

[图书][B] The Dynamic and Multidimensional Context of Urban Mobility

Y Liu - 2021 - search.proquest.com
The process of urbanisation exacerbates tensions between people and urban resources,
which are particularly evident in those challenges related to urban mobility planning …