Tag: LSTM

A new study tracks ozone-induced hardening in NR/CR marine rubber with longitudinal Shore A measurements and endpoint ultrasonic testing, while ...

A solar-powered IoT node and a recall-optimized LSTM–XGBoost ensemble achieved 100% positive-class recall on a Sri Lankan river's single test ...

A systematic review of 83 studies finds that while deep learning models excel at ECG-based cardiovascular disease prediction, weak external ...

A deep reinforcement learning framework with a novel dynamic attention mechanism outperforms traditional methods on static and dynamic container relocation ...

A hybrid quantum-classical LSTM model achieved the highest reported accuracy for male infertility risk prediction while identifying daily sitting duration ...

Researchers at Central South University have created a hybrid deep learning model that lets mobile agricultural robots accurately forecast pollutant ...

The distinction between the measured dataset and the synthetic temporal extension deserves particular attention, because it reflects a broader methodological ...

A unified explainable AI framework applied to Chicago, Los Angeles, and New York City shows XGBoost best detects crime hotspots ...

New experiments show that low-quality activity labels devastate process discovery and next-activity prediction while leaving conformance checking and time predictions ...

Researchers in China have built a drone trajectory generation system that combines YOLOv8 detection, LSTM motion prediction, and Q-learning-optimized nonlinear ...

Egyptian researchers have built a MATLAB simulation framework combining LSTM-based water demand prediction with solar energy management, achieving simulated water ...

A hybrid deep learning framework combining two complementary LSTM models with Bayesian ensemble stacking predicts winter road surface temperature more ...

Researchers in China have developed a Sparrow search algorithm-optimized attention-LSTM neural network that predicts step error in five-axis finishing machining ...

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 ...

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 dendrite-inspired recurrent neural network architecture outperforms LSTMs on chaotic forecasting benchmarks and achieves strong seizure detection in raw ...

Researchers have built a microgrid scheduling system that pairs online electric vehicle battery state estimation with a neural network surrogate, ...