Transfer learning for sentiment analysis using BERT based supervised fine-tuning

NJ Prottasha, AA Sami, M Kowsher, SA Murad… - Sensors, 2022 - mdpi.com
The growth of the Internet has expanded the amount of data expressed by users across
multiple platforms. The availability of these different worldviews and individuals' emotions …

Bangla-bert: transformer-based efficient model for transfer learning and language understanding

M Kowsher, AA Sami, NJ Prottasha, MS Arefin… - IEEE …, 2022 - ieeexplore.ieee.org
The advent of pre-trained language models has directed a new era of Natural Language
Processing (NLP), enabling us to create powerful language models. Among these models …

Application of machine learning in wellbore stability prediction: A review

K Xu, Z Liu, Q Chen, Q Zhang, X Ling, X Cai… - Geoenergy Science and …, 2024 - Elsevier
Ensuring wellbore stability is vital for safe drilling and production in the process of oil
exploration and development. The current empirical formula and numerical simulation …

[HTML][HTML] Codon-mRNA prediction using deep optimal neurocomputing technique (DLSTM-DSN-WOA) and multivariate analysis

ZA Kadhuim, S Al-Janabi - Results in Engineering, 2023 - Elsevier
Based on the principle that the upgrading of any nation begins by raising the level of
performance of its institutions that serve the community, including the Ministry of Healthcare …

Achieving optimal paper properties: A layered multiscale kMC and LSTM-ANN-based control approach for kraft pulping

P Shah, HK Choi, JSI Kwon - Processes, 2023 - mdpi.com
The growing demand for various types of paper highlights the importance of optimizing the
kraft pulping process to achieve desired paper properties. This work proposes a novel …

BiGRU-ANN based hybrid architecture for intensified classification tasks with explainable AI

S Chakraborty, MBU Talukder, MM Hasan… - International Journal of …, 2023 - Springer
Artificial Intelligence (AI) is increasingly being employed in critical decision-making
processes such as medical diagnosis, credit approval, criminal justice, and many more …

Assessing effect of best management practices in unmonitored watersheds using the coupled SWAT-BiLSTM approach

X Zhang, Y Qi, H Li, S Sun, Q Yin - Scientific Reports, 2023 - nature.com
In order to enhance the simulation of BMPs (Best Management Practices) reduction effects
in unmonitored watersheds, in this study, we combined the physically-based hydrological …

An enhanced neural word embedding model for transfer learning

M Kowsher, MSI Sobuj, MF Shahriar, NJ Prottasha… - Applied Sciences, 2022 - mdpi.com
Due to the expansion of data generation, more and more natural language processing
(NLP) tasks are needing to be solved. For this, word representation plays a vital role …

Optimizing urban energy management: A strategic examination of smart grids and policy regulations

T Jia, W He, W Ma - Sustainable Cities and Society, 2024 - Elsevier
This research addresses the critical challenges in urban energy management, focusing on
load forecasting and optimizing renewable energy sources considering policy regulation. A …

[PDF][PDF] Deep learning in phishing mitigation: a uniform resource locator-based predictive model

H Salah, H Zuhair - International Journal of Electrical and Computer …, 2023 - academia.edu
To mitigate the evolution of phish websites, various phishing prediction8 schemes are being
optimized eventually. However, the optimized methods produce gratuitous performance …