Tag: Applied Intelligence

Researchers have developed ValuePEFT, a parameter-efficient fine-tuning method that steers large language models toward explicitly specified human values with measurable ...

Researchers at Linyi University have combined wavelet decomposition with denoising diffusion models to forecast urban traffic flow more accurately across ...

Researchers at Fuzhou University have developed RCGELM-AE, a graph embedding model that trains in closed form without gradient descent while ...

Researchers in China have developed a deep neural network fingerprinting method that explicitly separates stolen model copies from independently trained ...

Researchers at Keio University have developed H-PLE, a hierarchical multi-task recommendation framework that stabilizes expert routing and improves prediction of ...

Researchers at Guangdong University of Technology have broken a chaos-based image cryptosystem whose dynamic key was designed to resist attack, ...

A new decoupled graph-augmented transformer architecture separates static road topology from dynamic traffic patterns to reduce optimization interference and achieve ...

Researchers in China have built a large language model-based scheduler that outperforms traditional and reinforcement learning methods for autonomous vehicle ...

Researchers at Shanghai Maritime University have developed RPCV, a deep clustering method that uses transformer-based cross-view attention and entropy-constrained prototype ...

Researchers have developed DPAS-Net, a deep learning framework that maintains remarkably accurate multi-view clustering even when up to 90 percent ...