Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

AI-driven fusion with cybersecurity: Exploring current trends, advanced techniques, future directions, and policy implications for evolving paradigms– A comprehensive review A Bayesian network approach for dynamic behavior analysis: Real-time intention recognition TIAN: A time series Imaging Association Network for human abnormal behavior detection Oral multi-pathology segmentation with Lead-Assisting Backbone Attention Network and synthetic data generation Constructive preference elicitation for multi-criteria decision analysis using an estimate-then-select strategy Ada4DIR: An adaptive model-driven all-in-one image restoration network for remote sensing images Prototype-based cross-modal object tracking Hierarchical global to local calibration for query-focused few-shot node classification SelfFed: Self-adaptive Federated Learning with Non-IID data on Heterogeneous Edge Devices for Bias Mitigation and Enhance Training Efficiency A novel bi-objective R-mathematical programming method for risk group decision making DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles A degradation-aware guided fusion network for infrared and visible image Towards a robust multi-view information bottleneck using Cauchy–Schwarz divergence TMVF: Trusted Multi-View Fish Behavior Recognition with correlative feature and adaptive evidence fusion Alzheimer’s disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier From attributes to natural language: A survey and foresight on text-based person re-identification TVT-Transformer: A Tactile-visual-textual fusion network for object recognition Few-shot multi-label intent recognition augmented by label knowledge generalization method Multi-head learning models for power consumption prediction of unmanned ground vehicles RFFR-Net: Robust feature fusion and reconstruction network for clothing-change person re-identification Efficient Multispectral Object Detection with attentive feature aggregation leveraging zero-shot implicit illumination guidance Rethinking neural architecture representation for predictors: Topological encoding in pixel space Seeing helps hearing: A multi-modal dataset and a mamba-based dual branch parallel network for auditory attention decoding Bidomain uncertainty gated recursive network for pan-sharpening Fractal dimension and clinical neurophysiology fusion to gain a deeper brain signal understanding: A systematic review Towards symbolic XAI — explanation through human understandable logical relationships between features Optimizing the environmental design and management of public green spaces: Analyzing urban infrastructure and long-term user experience with a focus on streetlight density in the city of Las Vegas, NV An adaptive consensus model with hybrid feedback mechanism: Exploring interference effects under evidence theory KDFuse: A high-level vision task-driven infrared and visible image fusion method based on cross-domain knowledge distillation DF-BSFNet: A bilateral synergistic fusion network with novel dynamic flow convolution for robust road extraction A data-fusion spatiotemporal matrix factorization approach for citywide traffic flow estimation and prediction under insufficient detection ATD Learning: A secure, smart, and decentralised learning method for big data environments CD-UDepth: Complementary dual-source information fusion for underwater monocular depth estimation CIECD: A novel context inconsistency elimination algorithm based on comprehensive conflict measure and dual-path structure Conv-SdMLPMixer: A hybrid medical image classification network based on multi-branch CNN and multi-scale multi-dimensional MLP Fractional light gradient boosting machine ensemble learning model: A non-causal fractional difference descent approach Short-term OD flow prediction for urban rail transit control: A multi-graph spatiotemporal fusion approach Adversarial evasion attacks detection for tree-based ensembles: A representation learning approach SenCounter: Towards category-agnostic action counting in open sensor sequences ViTs as backbones: Leveraging vision transformers for feature extraction A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics Semi-Supervised Social Bot Detection with Relational Graph Attention Transformers and Characteristics of the social environment CoreNet: Conflict Resolution Network for point-pixel misalignment and sub-task suppression of 3D LiDAR-camera object detection STV[formula omitted]: Skip connection driven Two-stream property fusion Variational AutoEncoder for cross-region wastewater treatment plant semantic segmentation Federated graph transformer with mixture attentions for secure graph knowledge fusions Retrieval-Augmented Dialogue Knowledge Aggregation for expressive conversational speech synthesis Hallucinations of large multimodal models: Problem and countermeasures Multi-modal adapter for RGB-T tracking MAFCD: Multi-level and adaptive conditional diffusion model for anomaly detection Personalized trust incentive mechanisms with personality characteristics for minimum cost consensus in group decision making