[HTML][HTML] Review of Ambiguity Problem in Text Summarization Using Hybrid ACA and SLR

S Sutriawan, S Rustad, GF Shidik, P Pujiono… - Intelligent Systems with …, 2024 - Elsevier
Text summarization is the process of creating a text summary that contains important
information from a text document. In recent years, significant progress has been made in the …

Cross-lingual Classification of Crisis-related Tweets Using Machine Translation

S Al Amer, M Lee, P Smith - Proceedings of the 14th International …, 2023 - aclanthology.org
Utilisation of multilingual language models such as mBERT and XLM-RoBERTa has
increasingly gained attention in recent work by exploiting the multilingualism of such models …

Harmonizing Precision Agriculture: Augmented Insights into Plant Disease Detection Using Deep Learning

S Chauhan, R Kumar, B Kumar - … International Conference on …, 2024 - ieeexplore.ieee.org
This research addresses the critical issue of accurate plant disease identification,
recognizing its paramount significance in preserving agricultural yields and safeguarding …

Original Research Article An enhanced feature based classification model for plant diseases detection using CNN technique

A Verma, S Chauhan - Journal of Autonomous Intelligence, 2024 - jai.front-sci.com
The agriculture industry is vital to maintaining global food security, prompt and precise plant
disease detection is critical to crop protection and yield optimization. Conventional …

Migration Learning and Multi-View Training for Low-Resource Machine Translation, Migration Learning and Multi-View Training.

J Yan, T Lin, S Zhao - International Journal of Advanced …, 2024 - search.ebscohost.com
This paper discusses the main challenges and solution strategies of low-resource machine
translation, and proposes a novel translation method combining migration learning and multi …