PeerJ Computer Science

A sequential recommendation method using contrastive learning and Wasserstein self-attention mechanism.

GAN inversion and shifting: recommending product modifications to sellers for better user preference.

Unbiased machine learning-assisted approach for conditional discretization of human performances.

Enhanced mutation strategy based differential evolution for global optimization problems.

A secure healthcare data transmission based on synchronization of fractional order chaotic systems.

An efficient gradient-based algorithm with descent direction for unconstrained optimization with applications to image restoration and robotic motion control.

Reconstructing unreadable QR codes: a deep learning based super resolution strategy.

Improvement strategies for heuristic algorithms based on machine learning and information concepts: a review of the seahorse optimization algorithm.

Deep learning-based novel ensemble method with best score transferred-adaptive neuro fuzzy inference system for energy consumption prediction.

An improved hippopotamus optimization algorithm based on adaptive development and solution diversity enhancement.

一种基于自适应发展和解多样性增强的改进型河马优化算法