Tag: long short-term memory

A weather-aware recurrent neural network delivered more accurate extreme-condition electricity-load forecasts while using an 8.1 MB edge footprint and 9.2-millisecond ...

A benchmark study found that concurrency-aware AI achieved up to 98.9% intrusion-detection accuracy, 2.1-times throughput and 57.5% lower average latency ...

A prospective multi-cohort study found that an attention-based LSTM predicted clinically significant depressive symptoms in two national aging cohorts, with ...

A staged neural-network framework predicted 2020 ecological-quality grades in a Chinese mine field with grade-specific accuracies of 87.3% to 94.1%.

Researchers have developed a parallel long short-term memory network with self-attention that reaches 91.6 percent accuracy in recognizing sentiment in ...

Researchers have developed a hybrid AI method that combines artificial potential field guidance with an LSTM-enhanced Soft Actor–Critic algorithm to ...