Existence and Stability Analysis of Almost Periodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Mixed Delays

A novel memory architecture for recurrent neural network based on wavelet transform

HBPC-GWN: Hierarchical Bayesian Calibration for Graph-Based Traffic Forecasting

FMIML-TAG: Federated Multi-Instance Multi-Label Learning with Graph-Transformer Approach

Copy Automata as a Diagnostic Tool for Pattern-Copying in Transformers: Hierarchy, Bounds, and the Limits of Hard-Attention Theory

When Agreement Fails: Detecting False Consensus via Hidden-State Consistency

Enhancing Adversarial Robustness via Cooperative Adversarial Distillation in Spiking Neural Networks

A novel Transfer Learning-Based Adaptive Weight Physics-Informed Neural Network for Groundwater Modeling in the middle reaches of Heihe River Basin, northwestern China

GSMBNet: A Cross-Scale Morpho-Boundary Modeling Network for Medical Image Segmentation

OLMP-R: Operator-Level Load-Balanced Mapping with Refinement for Static Distributed DNN Execution

GCBiMamba-DPS: A Gated ConBiMamba Modeling Approach with Dynamic Permutation Strategy for Session-Based Recommendation

Resource-Aware Hyperparameter Search-Supported Deployable Deep Learning Models for Agricultural Spectroscopy

PIM-Net: Pyramid Interactive Multi-scale Network with Gated Skip Fusion for Medical Image Segmentation

CAGE-MoE: Cross-projection Alignment-Guided Compression for MoE Models

CSG-YOLO: Cross-level Semantic Feedback with Gated Feature Enhancement for Construction Safety Detection

Learning Cross-Scale Spatial Feature Aggregation for Remote Sensing Change Detection