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Agampreet Saini
Institution:
University of Petroleum and Energy Studies
Observed institution:
University of Petroleum and Energy Studies
ORCID:
0009-0007-2633-6580
Observed ORCID:
0009-0007-2633-6580
OpenAlex ID:
A5111356848
Forecasting gold price using hybrid deep neural network LSTM-autoencoder
2025
·
Agampreet Saini
, Rahul Kumar Singh
, et al.
·
Discover Artificial Intelligence
·
8
PDF
Transfer Learning for Cross-Domain Sentiment Classification via Domain Adaptation
2025
·
Rahul Kumar Singh
, Agampreet Saini
, et al.
·
IEEE Transactions on Computational Social Systems
·
3
Financial Time Series Prediction on Apple Stocks Using Machine and Deep Learning Models
2024
·
Agampreet Saini
, Nisha Singh
, et al.
·
3
Uncertainty-aware multimodal imaging for lung metastasis risk stratification in extremity soft-tissue sarcoma.
2026
·
Manpreet Saini
, Agampreet Saini
, et al.
·
Journal of Clinical Oncology
Contributors
2026
·
Nitin Agarwala
, Qasem Abu Al-Haija
, et al.
·
Elsevier eBooks
PDF
Swarm robotics for securing critical infrastructure: A decentralized security framework
2026
·
Agampreet Saini
, Rahul Kumar Singh
·
Elsevier eBooks
A Hybrid Wavelet-GNN-LSTM Framework for Cryptocurrency Forecasting
2025
·
Agampreet Saini
, Rahul Kumar Singh
, et al.
·
IEEE International Conference on Computational Intelligence and Communication Networks (CICN)
WellGuide: Bridging AI and Medicine with Biomedical LLMs for Enhanced Health Support
2025
·
Shubhi Sharma
, Agampreet Saini
Automated Diagnosis of PCOS: A Deep Learning Approach Using Ultrasound Data
2025
·
Charu Gupta
, Lakshay Agarwal
, et al.
Performance Evaluation of Machine and Hybrid Deep Learning Model for Bitcoin Value Forecasting
2025
·
Agampreet Saini
, Rahul Kumar Singh
, et al.
·
OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry (OTCON)
Cross-Domain Knowledge Adaptation Using Iterative Scaling and Language Model
2024
·
Rahul Kumar Singh
, Puneet Sinha
, et al.
·
International Conference on Technological Advancements in Computational Sciences (ICTACS)
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Works count:
11
Citation count:
14
H-index:
3
I10-index:
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