Neural Computing & Applications

A flexible framework for anomaly Detection via dimensionality reduction.

Enhancing COVID-19 tracking apps with human activity recognition using a deep convolutional neural network and HAR-images.

Early detection of COPD patients' symptoms with personal environmental sensors: a remote sensing framework using probabilistic latent component analysis with linear dynamic systems.

Building fuzzy time series model from unsupervised learning technique and genetic algorithm.

A deep LSTM network for the Spanish electricity consumption forecasting.

Modified firefly algorithm for workflow scheduling in cloud-edge environment.

Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?

Rules embedded harris hawks optimizer for large-scale optimization problems.

Estimation of thermophysical property of hybrid nanofluids for solar Thermal applications: Implementation of novel Optimizable Gaussian Process regression (O-GPR) approach for Viscosity prediction.

BERT's sentiment score for portfolio optimization: a fine-tuned view in Black and Litterman model.

BERT 的情绪评分在投资组合优化中的应用：Black 和 Litterman 模型的微调视角