Creating an open data city for healthcare: a critical review of data management strategy and development in China

Z Fang, Q Lu, L Chen, J Meng, Z Ye… - Journal of Management in …, 2023 - ascelibrary.org
The unexpected increased cases of COVID-19 pressured the healthcare system to be
exposed to unprecedented challenges, where healthcare management is a complex but …

OntoBestFit: a best-fit occurrence estimation strategy for RDF driven faceted semantic search

G Deepak, A Santhanavijayan - Computer Communications, 2020 - Elsevier
As Web 2.0 is transforming into a more systematized Semantic Web, there is an urgent need
for semantic compliant techniques for web search. In this paper, the OntoBestFit has been …

A novel deep auto-encoder based linguistics clustering model for social text

MW Akram, M Salman, MF Bashir… - Transactions on Asian …, 2022 - dl.acm.org
The wide adoption of media and social media has increased the amount of digital content to
an enormous level. Natural language processing (NLP) techniques provide an opportunity …

UQSCM-RFD: A query–knowledge interfacing approach for diversified query recommendation in semantic search based on river flow dynamics and dynamic user …

G Deepak, A Santhanavijayan - Neural Computing and Applications, 2022 - Springer
Owing to the exponential intensification of the web information content and transfiguration of
the conventional Web into a more sophisticated Semantic Web, there is a mandated need …

An Efficient Mechanism for Deep Web Data Extraction Based on Tree‐Structured Web Pattern Matching

BB Ahamed, D Yuvaraj, S Shitharth… - Wireless …, 2022 - Wiley Online Library
The World Wide Web comprises of huge web databases where the data are searched using
web query interface. Generally, the World Wide Web maintains a set of databases to store …

A Framework for Online Customer Reviews System Using Sentiment Scoring Method

BB Ahamed, D Yuvaraj - 2021 22nd International Arab …, 2021 - ieeexplore.ieee.org
Nowadays, web-based social networking remain intuitive and further easy to use in nature.
The scenario of purchasing products online has improved dramatically which has resulted in …

Deep learning techniques and optimization strategies in big data analytics: automated transfer learning of convolutional neural networks using Enas algorithm

M Krishnamoorthy, S Suresh… - … Learning Techniques and …, 2020 - igi-global.com
Construction of a neural network is the cardinal step to any machine learning algorithm. It
requires profound knowledge for the developer in assigning the weights and biases to …

Advancement of the search process for digital heritage by utilizing artificial intelligence algorithms

RT Gasimova, RN Abbasli - Expert Systems with Applications, 2020 - Elsevier
The increasing amount of pressure to digitalize what we are used to consider a conventional
data has created a need to analyze, search and process unique data structures in a timely …

Fake news detection using deep learning: supervised fake news detection analysis in social media with semantic similarity method

V Konagala, S Bano - … Techniques and Optimization Strategies in Big …, 2020 - igi-global.com
The engendering of uncertain data in ordinary access news sources, for example, news
sites, web-based life channels, and online papers, have made it trying to recognize capable …

An intelligent personalized web user information retrieval using partial least squares and artificial neural networks

M Kinikar, B Saleena - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
The Internet has more than Bronto bytes of available information. However, not all the
information matches the appropriate meaning of the search. In information retrieval (IR), the …