Cyberbullying detection in social networks: A comparison between machine learning and transfer learning approaches
TH Teng, KD Varathan - IEEE Access, 2023 - ieeexplore.ieee.org
Information and Communication Technologies fueled social networking and facilitated
communication. However, cyberbullying on the platform had detrimental ramifications. The …
communication. However, cyberbullying on the platform had detrimental ramifications. The …
Automatic classification of rural building characteristics using deep learning methods on oblique photography
Rural building is important to the well-being of rural residents, leading to a significant need
to carry out extensive surveys and retrofits of many rural buildings. On-site surveys by expert …
to carry out extensive surveys and retrofits of many rural buildings. On-site surveys by expert …
A review on deep-learning-based cyberbullying detection
Bullying is described as an undesirable behavior by others that harms an individual
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
Automated rip current detection with region based convolutional neural networks
This paper presents a machine learning approach for the automatic identification of rip
currents with breaking waves. Rip currents are dangerous fast moving currents of water that …
currents with breaking waves. Rip currents are dangerous fast moving currents of water that …
Duplicate question detection with deep learning in stack overflow
L Wang, L Zhang, J Jiang - IEEE Access, 2020 - ieeexplore.ieee.org
Stack Overflow is a popular Community-based Question Answer (CQA) website focused on
software programming and has attracted more and more users in recent years. However …
software programming and has attracted more and more users in recent years. However …
Comparative study of long document classification
V Wagh, S Khandve, I Joshi, A Wani… - TENCON 2021-2021 …, 2021 - ieeexplore.ieee.org
The amount of information stored in the form of documents on the internet has been
increasing rapidly. Thus it has become a necessity to organize and maintain these …
increasing rapidly. Thus it has become a necessity to organize and maintain these …
Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification
In order to provide benchmark performance for Urdu text document classification, the
contribution of this paper is manifold. First, it provides a publicly available benchmark …
contribution of this paper is manifold. First, it provides a publicly available benchmark …
The effect of growth stage and plant counting accuracy of maize inbred lines on LAI and biomass prediction
Y Che, Q Wang, L Zhou, X Wang, B Li, Y Ma - Precision Agriculture, 2022 - Springer
Accurate maize plant counting plays an essential role in prediction of leaf area index (LAI),
aboveground biomass (AGB) and yield. Plant counting of maize inbred lines at early growth …
aboveground biomass (AGB) and yield. Plant counting of maize inbred lines at early growth …
[HTML][HTML] Automatic analysis of cognitive presence in online discussions: An approach using deep learning and explainable artificial intelligence
This paper proposes the adoption of a deep learning method to automate the categorisation
of online discussion messages according to the phases of cognitive presence, a …
of online discussion messages according to the phases of cognitive presence, a …
Computer-assisted separation of design-build contract requirements to support subcontract drafting
F ul Hassan, T Le - Automation in Construction, 2021 - Elsevier
Construction projects delivered using the Design-Build (DB) method include a single
contract which defines requirements associated with various disciplines involved in the …
contract which defines requirements associated with various disciplines involved in the …