Tag: temporal convolutional network

Researchers at the University of Tübingen and Carl Zeiss Vision have built a real-time AI system that detects anomalous gaze ...

Researchers released QAMQOR, a public benchmark from 47 hours of robot-assisted autism therapy video showing that evaluation protocols, not algorithms, ...

Researchers have developed a physics-informed, uncertainty-aware graph neural network that predicts jet engine remaining useful life with record robustness under ...

A new closed-loop reinforcement learning framework called A3SM detects, localizes, and mitigates gray failures in cloud clusters, cutting recovery times ...

A new data-driven framework combines deep-learning probabilistic forecasting with convex optimization to coordinate virtual power plants and upstream substations under ...

Researchers in Taiwan combined Temporal Convolutional Networks, Nested LSTMs, signal decomposition, and a mutation-enhanced optimizer to cut wind power forecast ...

Researchers in India have built an explainable deep learning framework that forecasts cloud host load in real time with about ...

Researchers have developed MultiPerG, a hierarchical convolutional network that learns multi-scale periodic and geographic patterns in human trajectories to predict ...

A new Cluster Computing study using public Alibaba cluster traces finds that simple linear regression often matches or beats deep ...

A hybrid CNN–LSTM deep learning model tuned by Bayesian optimization outperformed classical and standalone neural benchmarks in quarterly GDP forecasts ...