International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Open Citations

Predicting Stock Prices Using LSTM

Murtaza Roondiwala, Harshal Patel, Shraddha Varma

238 Open Citations
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Last updated: 2026-10-08 18:00:13

Citing Works

Advanced Time Series Analysis via Deep Learning

Roshan Lal, Mansi Jain, Aman Srivastava, Siddharth Arora, Nilabha Mukherjee, Rishi Kothiyal

Lecture notes in networks and systems · 2026

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Bidirectional LSTM-GRU Hybrid Model for Stock Price Forecasting Across Varying Time Frames

Nipun Dahiya, Dhaval Mehta, Ishani Saha, Payal Mishra

Lecture notes in networks and systems · 2026

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Comprehensive Literature Review of Deep Learning Models for Forecasting of Hot Metal Production in Steel Industry

Naveen Kumar Vaishnav, Sanjeev Karmakar

International Journal of Scientific Research in Computer Science Engineering and Information Technology · 2026

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Developing a Chatbot for Soft Skills Education: Comparing ReLU-LSTM and GloAT-Transformer Models

Chaimaa Bouafoud, Abdellah Madani, Khalid Zine-Dine

International Journal of Interactive Mobile Technologies (iJIM) · 2026

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Developing of Predictive Analytic System to Improve the Efficiency of Hydroelectric Power Plants

Marina K. Altukhova, Maria A. Lyulina, Daniil M. Dorokhin, Vladimir S. Chudny, Elena A. Ivanova, Irina E. Ryndina

2026

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Enhancing LSTM performance for financial time series forecasting: the differencing approach - Diff-LSTM

Levent Gül, Ebru Yuksel Haliloglu, Hande Sevgi, Nukhet Dogan, M. Hakan Berument

Neural Computing and Applications · 2026

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Forecasting Performance Comparison: LSTM Model vs. Dynamic and Static Forecasting of ARIMA and Random Walk Models - Evidence from S&P500

Levent Gül, Ebru Yüksel, Nurhan Hande SEVGİ, Nukhet Dogan, Hakan Berument

GAZI UNIVERSITY JOURNAL OF SCIENCE · 2026

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Predicting the Nikkei 225 Using Machine Learning: An Empirical Comparison

Chikashi Tsuji

iBusiness · 2026

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Privacy-Aware Forecasting of Gold Stocks via Federated Bi-LSTM and MAML with FinBERT-Based Sentiment Integration

Apurba Nandi, Pratyay Ghosh, Kuntal Roy, Puspak Samanta, Diptadip Choudhury, Anwesha Ghosh

Lecture notes in networks and systems · 2026

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Attention-Mamba: Accurate Temporal Modeling for Stock Prediction

Mingyu Liu

International Conference on Mathematics and Machine Learning (ICMML) · 2025

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