Snake-Inspired AI Reads Tourist Reviews to Rate Eco-Trips
A new hybrid deep learning model tuned by a snake-inspired optimization algorithm achieves 98.13 percent accuracy in classifying sentiment from ...
A new hybrid deep learning model tuned by a snake-inspired optimization algorithm achieves 98.13 percent accuracy in classifying sentiment from ...
Researchers have built a deep learning model that fuses stock prices, technical indicators, financial news sentiment, and dynamically updated inter-stock ...
Researchers in China have built an explainable AI framework that predicts student readiness for Industry 4.0 careers with 98.92 percent ...
A deep learning model trained on 45 years of Nigerian weather data predicts heatwave trends in the country's northwest with ...
Researchers have built a federated, explainable VAE-LSTM framework that detects previously unseen DDoS attacks in software-defined healthcare networks with over ...
Researchers in Shanghai have developed a deep reinforcement learning framework that coordinates edge caching across multiple nodes in smart industrial ...
A new LSTM-based dataset called MemoryFlux maps two decades of net ecosystem CO2 exchange across North America with unprecedented fidelity, ...
A Norwegian study shows that a deep learning LSTM network outperforms the country's operational HBV model in simulating both snowmelt- ...
Researchers at the University of Port Harcourt combined Random Forest, LSTM, Prophet, and XGBoost stacking with DeepSeek-R1 cognitive analysis to ...
A new dendrite-inspired recurrent neural network architecture outperforms LSTMs on chaotic forecasting benchmarks and achieves strong seizure detection in raw ...
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© 2025 Scienmag - Science Magazine