#lstm News & Analysis

4 articles tagged with #lstm. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles

AIBullisharXiv – CS AI · Mar 117/10

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A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines

Researchers developed a hybrid quantum-classical framework combining LSTM neural networks with Quantum Circuit Born Machines for financial volatility forecasting. Testing on Shanghai Stock Exchange data showed significant improvements over classical methods in key metrics like MSE and RMSE, demonstrating quantum computing's potential in financial modeling.

AIBullisharXiv – CS AI · Mar 26/1018

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QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory

Researchers propose QKAN-LSTM, a quantum-inspired neural network that integrates quantum variational activation functions into LSTM architecture for sequential modeling. The model achieves superior predictive accuracy with 79% fewer parameters than classical LSTMs while remaining executable on classical hardware.

AIBullisharXiv – CS AI · Apr 74/10

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AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services

Researchers developed an AI Appeals Processor that uses deep learning to automatically classify government citizen appeals, achieving 78% accuracy with Word2Vec+LSTM architecture. The system reduces processing time by 54% compared to traditional manual processing that averages 20 minutes per appeal with only 67% accuracy.

AINeutralarXiv – CS AI · Feb 274/104

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A Fusion of context-aware based BanglaBERT and Two-Layer Stacked LSTM Framework for Multi-Label Cyberbullying Detection

Researchers developed a hybrid AI model combining BanglaBERT and stacked LSTM networks to detect multiple types of cyberbullying in Bangla text simultaneously. The approach addresses limitations in existing single-label classification methods by recognizing that comments can contain overlapping forms of abuse like threats, hate speech, and harassment.