[HTML][HTML] A query expansion method based on topic modeling and DBpedia features

S Dahir, A El Qadi - International Journal of Information Management Data …, 2021 - Elsevier
Query Expansion (QE) is a method used for improving Information Retrieval (IR) by adding
the terms that are almost selected from feedback documents, and similar to the user query …

Deep learning based search engine for biomedical images using convolutional neural networks

R Mishra, SP Tripathi - Multimedia Tools and Applications, 2021 - Springer
The development of efficient search engine queries for biomedical images, especially in
case of query-mismatch is still defined as an ill-posed problem. Vector-space model is found …

An efficient machine learning model for malicious activities recognition in water‐based industrial internet of things

GEI Selim, EED Hemdan, A M. Shehata… - Security and …, 2021 - Wiley Online Library
Abstract The Industrial Control System (ICS) has an important role to reduce the interaction
between humans and the industrial system. Cyber‐Physical Systems (CPSs) operate in …

Network analysis of the food–energy–water nexus in China's Yangtze River Economic Belt from a synergetic perspective

R An, P Liu, L Cheng, M Yao, H Li… - Environmental Research …, 2021 - iopscience.iop.org
Economic development, resource scarcity and climate change pose enormous challenges to
the food–energy–water (FEW) nexus, calling for integrative resources governance to …

A comparison between term-independence retrieval models for ad hoc retrieval

EKF Dang, RWP Luk, J Allan - ACM Transactions on Information Systems …, 2021 - dl.acm.org
In Information Retrieval, numerous retrieval models or document ranking functions have
been developed in the quest for better retrieval effectiveness. Apart from some formal …

Contextual weighting approach to compute term weight in layered vector space model

J Gadge, S Bhirud - Journal of Information Science, 2021 - journals.sagepub.com
The World Wide Web (WWW) is the largest available repository of information. This huge
amount of information put forward the challenges of retrieval of trustworthy information from …

Independent document ranking for E-learning using semantic-based document term classification

J Mannar Mannan, K Sindhanai Selvan… - Journal of Intelligent …, 2021 - content.iospress.com
Massive digital documents on Internet leading to use e-learning, and it becomes an
emerging field of research due to the massive growth of internet users. E-learning requires …

Hybrid Model with Word2vector in Information Retrieval Ranking

S Pandey, I Mathur, N Joshi - Data Analytics and Management …, 2021 - Springer
People have realized the importance of finding and archiving information with the computer
advents for thousands of years, and storing of large amount of information became possible …

[PDF][PDF] Towards Faster Software Revision Testing

L Chen - 2021 - utd-ir.tdl.org
Software systems have been increasingly prevalent in all facets of our lives over the last few
decades and play a critical role in modern living. They have a significant impact on the …

Multiview learning with sparse and unannotated data.

T Mukherjee - 2021 - qmro.qmul.ac.uk
Obtaining annotated training data for supervised learning, is a bottleneck in many
contemporary machine learning applications. The increasing prevalence of multi-modal and …