Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

Efficient belief rule-based network for planetary gearbox wear state characterization using multi-channel lubricant debris information PEARL: A dual-layer graph learning for multimodal recommendation A clinical diabetes prediction based support system based on the multi-objective metaheuristic inspired fine tuning deep network Magnetic source imaging registration based on self-supervised learning and multi-view differentiable rendering PEFed: Enhancing privacy and efficiency in federated learning via removable perturbation and decentralized encryption Leveraging long-range nodes in multi-view graph contrastive learning Semantic-Preserving Feature Partitioning for multi-view ensemble learning MAENet: Boost image-guided point cloud completion more accurate and even STAMF: Synergistic transformer and mamba fusion network for RGB-Polarization based underwater salient object detection Vehicle localization in an explainable dynamic Bayesian network framework for self-aware agents UAVs meet LLMs: Overviews and perspectives towards agentic low-altitude mobility Perceptive spectral transformer unfolding network with multiscale mixed training for arbitrary-scale hyperspectral and multispectral image fusion TMF-Net: Multimodal smart contract vulnerability detection based on multiscale transformer fusion Multi-teacher self-distillation based on adaptive weighting and activation pattern for enhancing lightweight arrhythmia recognition Cues3D: Unleashing the power of sole NeRF for consistent and unique instances in open-vocabulary 3D panoptic segmentation Language-guided reasoning segmentation for underwater images Adaptive-weighted federated graph convolutional networks with multi-sensor data fusion for drug response prediction LATTE: A Real-time Lightweight Attention-based Traffic Accident Anticipation Engine MGF-GCN: Multimodal interaction Mamba-aided graph convolutional fusion network for semantic segmentation of remote sensing images AiCareGaitRehabilitation: Multi-modalities sensor data fusion for AI-IoT enabled realtime electrical stimulation device for pre-Fog and post-Fog to person with Parkinson’s Disease LDSENet: A Lightweight Detail Semantic Enhancement Network for accurate water body extraction SpearBot: Leveraging large language models in a generative-critique framework for spear-phishing email generation TinyVit-LightGBM: A lightweight and smart feature fusion framework for IoMT-based cancer diagnosis Explainable variable-weight multi-modal based deep learning framework for catheter malposition detection Balanced Cross-modal Prompt Learning and Fusion Network for Multi-modal Fake News Detection DocRouter: Prompt guided vision transformer and Mixture of Experts connector for document understanding Customized priors for enhanced multispectral and hyperspectral image sharpening A survey on data fusion approaches in IoT-based smart cities: Smart applications, taxonomies, challenges, and future research directions STATIC-LIO: A sliding window and terrain-assisted dynamic points removal LiDAR Inertial Odometry PPSTSL: A Privacy-preserving Dynamic Spatio-temporal Graph Data Federated Split Learning for traffic forecasting Reflections and attentiveness on eXplainable Artificial Intelligence (XAI). The journey ahead from criticisms to human–AI collaboration Exploring EEG and eye movement fusion for multi-class target RSVP-BCI GenRAN: GenFusion-guided Reversible Anonymization Network for face privacy preserving Triplets-based large-scale multi-view spectral clustering A Review of BioTree Construction in the Context of Information Fusion: Priors, Methods, Applications and Trends AMF-VSN: Adaptive multi-process fusion video steganography based on invertible neural networks METC: A Hybrid Deep Learning Framework for Cross-Network Encrypted DNS over HTTPS Traffic Detection and Tunnel Identification An empirical survey-type analysis of uncertainty measures for the fusion of crisp and fuzzy bodies of evidence Incomplete multi-view classification via graph neural network on heterogeneous graph RSEA-MVGNN: Multi-view graph neural network with reliable structural enhancement and aggregation Knowledge Graphs for Multi-modal Learning: Survey and Perspective Pseudo 5D hyperspectral light field for image semantic segmentation End-to-end privacy-preserving image retrieval in cloud computing via anti-perturbation attentive token-aware vision transformer Parameter-oriented contrastive schema and multi-level knowledge distillation for heterogeneous federated learning FS-Diff: Semantic guidance and clarity-aware simultaneous multimodal image fusion and super-resolution Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding Enhancing few-sample spatio-temporal prediction via relational fusion-based hypergraph neural network Divide and conquer? A combination of judgments method for comparing DSSs. Pairwise comparison vs. holistic paradigms Urban region function classification via fusing optical imagery and social media data: A spatio-temporal Transformer interaction approach SQ-DiffuPep: A multimodal information-guided quantitative latent diffusion model for antimicrobial peptide discovery