Tag: Complex & Intelligent Systems

Researchers propose a grey target negotiation consensus model that incorporates decision makers' limited compromises and tolerance behaviors to reach group ...

A new explainable transformer that combines frequency-domain analysis and topology-aware structural modeling achieves 97.86 percent accuracy in classifying eight retinal ...

A new federated framework fine-tunes the Segment Anything Model for multi-organ segmentation by training only tiny low-rank adapters on quantized ...

Researchers at a Chinese power grid enterprise have built a recommendation system that combines knowledge graphs with dynamic employee personas ...

Researchers have developed a fuzzy inference network that embeds prior knowledge from multiple medical data modalities and classified four types ...

Researchers have developed ALTAI, a neural network that aligns character, word, and semantic representations through cross-granularity contrastive learning to achieve ...

Researchers have developed an order-preserving framework based on intuitionistic fuzzy soft sets, order-isomorphism, and topological sorting that improves the accuracy ...

Researchers in Qinghai have developed MHCNet, a hypergraph-based multimodal AI that classifies Tibetan medicinal plants with 98.11 percent accuracy by ...

Researchers have built a hybrid deep learning model combining BiLSTM, Transformer and 1D CNN components that detects AI-generated text with ...

Researchers have developed H3C-BEACON, a unified multi-agent reinforcement learning framework that jointly integrates communication, Bayesian belief inference, adaptive coalition formation, ...