Key papers

• Bitcoin Price Direction Prediction via Regime-Aware Multi-Modal Fusion of Social Sentiment and Technical Features (2026)
  Muhammad Abdullah Haroon
  6.75
• Leveraging Multimodality for Real-Time Classification of Transients and Variables found by the Zwicky Transient Facility (2026)
  Ved G. Shah et al.
  5.49
• Climate-resilient electric vehicle charging infrastructure for sustainable cities: An interpretable causal-ensemble framework for preventive maintenance and low-carbon mobility (2026)
  Cande Lian (School of Management et al.
  5.01
• Farmland Extent and Visible Boundary Mapping from 1 m NAIP Imagery Using Residual U-Net and Text-Prompted SAM 3 Refinement (2026)
  Mohammadreza Narimani et al.
  5.01
• General Value Functions for Remaining Useful Life and Failure-Mode Prediction (2026)
  Hao Yan et al.
  5.01
• DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids (2026)
  Yunhao Yao et al.
  5.01
• Multivariate Time Series Forecasting with Adaptive Non-Local Observables (2026)
  Yu-Ting Lee et al.
  5.01
• How Environment and Urbanization Shape Bird Diversity in Sri Lanka (2026)
  Dilusha Chandrasiri et al.
  4.39
• QuantFlow: A Federated Mamba-Based Post-Transformer Foundation Model for Time-Series Forecasting (2026)
  Shah Nawaz Haider et al.
  4.39
• PhenoNEST: A Neuro-Symbolic Framework for Ontology-Aware Multimodal Plant Phenotyping and Trait Discovery (2026)
  Jayant Ghadge et al.
  4.39
• A harmonised dataset for Earth system foundation models (2026)
  Carlos Rodriguez-Pardo et al.
  4.39
• Environmental Drivers of Respiratory Disease: A District Level Analysis (2026)
  Rahim Iqbal et al.
  4.39
• Pixel-Precise Explainable Stress Indexing: A Semantic Segmentation Framework for Disease Severity Quantification in Field Crops (2026)
  Raunak Kumar et al.
  4.39
• LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting (2026)
  Youcheng Zong et al.
  4.39
• A Multimodal Dataset for Large Language Model Applications in the Energy Domain (2026)
  Costas Mylonas et al.
  4.39
• OmniPMNet: Bridging discrete and gridded PM10 forecasts via omni-query neural processes (2026)
  Shuangshuang He et al.
  4.39
• Robustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable Analysis (2026)
  Dandan Chen et al.
  4.39
• The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting (2026)
  Mert Onur Cakiroglu et al.
  4.39
• TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling (2026)
  Songru Yang et al.
  4.39
• BG4Sea: Biogeochemical Seasonal Forecastability via Progressive Information Scaling (2026)
  Gabriela Martinez Balbontin et al.
  4.39
• Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting (2026)
  Wentao Gao et al.
  4.39
• Edge-Efficient Transformer for End-to-End RF Spectrum Monitoring (2026)
  Zhifan Song et al.
  4.39
• Adaptive Two-Stage Online Learning for Service-Affecting Failure Detection in Mobile Core Networks (2026)
  J. du Toit et al.
  4.39
• Physics-Informed Super-Resolution of Atmospheric Data (2026)
  Chang Xu et al.
  4.39
• Subject-Conditioned Glucose Forecasting in Type-1 Diabetes (2026)
  Giorgia Rigamonti et al.
  4.39
• Probabilistic Physics-Aware Machine Learning Predictions of Electric Truck Energy Consumption with Field Data (2026)
  Hannes Nilsson et al.
  4.39
• PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling (2026)
  Shiyuan Luo et al.
  4.39
• AI-Driven Surrogate Models for Predicting Electrode-Scale Discharge Behavior in Lithium-Ion Batteries (2026)
  Mengda Xing (CRIL et al.
  4.39
• Toward Mechanistic Interpretability of an AI Foundation Model Fine-Tuned for Atmospheric Chemistry (2026)
  Jason Y. Hu et al.
  4.39
• Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery (2026)
  Khalid El-Darymli et al.
  4.39
• Susceptible Reservoir Architectures for Regime-Conditional Volatility Forecasting (2026)
  Aliaksei Kaliutau
  4.39
• AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends (2026)
  Ahmed Abolfadl et al.
  4.39
• Visible-Light Imaging Diagnosis of Neutral Particle Emission Tomography in the Tokamak Divertor: An Efficient Transformer-based Surrogate Model (2026)
  Xiao Wang et al.
  4.39
• Spatial Prediction of Soil Microplastics and Organic Matter Using Graph Attention Networks (2026)
  Anik Dev Nath et al.
  4.39
• Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems (2026)
  Youngseok Hwang et al.
  4.39
• Context-Aware Concept Distillation for Trustworthy Flood Prediction (2026)
  Eli Levinkopf et al.
  4.39
• PathRIR: Physics-Guided Acoustic Path Selection and Late-Tail Compensation for Fast Room Impulse Response Simulation (2026)
  Shaoheng Xu et al.
  4.39
• Generalization bounds and sample complexity for remaining useful life prediction from complete degradation trajectories (2026)
  Huy Hoang Le et al.
  4.39
• An adaptive multi-fuzzy logic model for diagnosing transformer faults using dynamic weight optimization (2026)
  Kim-Anh Nguyen et al.
  4.39
• Impute On-Demand: Adaptive Correlated Time Series Imputation for Changing Environments (2026)
  Zhichen Lai et al.
  4.39
• Topological Data Analysis and Graph-Theoretic Approaches for Tennis Match Prediction (2026)
  Jake Schwaderer et al.
  4.39
• Random Forest-Based Prediction of Bone Volume Fraction and Fracture Position from S-Parameters (2026)
  Jianhe Li et al.
  4.39
• Extreme Volatility Warning under Label Scarcity via Multi-Source Anomaly Fusion (2026)
  Jin Qian et al.
  4.39
• A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar (2026)
  C. J. Moore et al.
  4.39
• Physics-Informed Neural Networks for Predicting Nitrous Oxide Flux (2026)
  Freddy Yu et al.
  4.39
• Harnessing X-ray Absorption Spectroscopy Data through Multimodal Mining of Battery Literature (2026)
  Tanjin He et al.
  4.39
• Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities (2026)
  L\'eo Hein et al.
  4.39
• Monitoring Post-Disaster Urban Recovery Using High-Resolution SAR Time Series and Unsupervised Learning: Evidence from the 2023 T\"urkiye-Syria Earthquake (2026)
  Luigi Russo et al.
  4.39
• ML-based Predictive Models for Power Consumption in Virtualised O-RANs (2026)
  Rishu Raj et al.
  4.39
• MobiWave: Dispatch-Oriented Graph Wavelets and Drift-Guided Selective Optimization for Autonomous Fleet Rebalancing (2026)
  Xiao Han et al.
  4.39
• From Machine Learning to Large-Scale EO Products: Best Practices for Making Maps (2026)
  Ghjulia Sialelli et al.
  4.39
• Causal-TS: A Python Library for Causal Discovery in High-Dimensional and Nonstationary Time Series (2026)
  Mohammad Fesanghary
  4.39
• Spectral-Morphological Attention U-Net: An Efficient Network for Active Wildfire Detection (2026)
  Yugong Zeng et al.
  3.51
• Scope3Trace: Evidence-Based Identification and Extraction of Scope 3 GHG Emissions from Sustainability Reports (2026)
  Siyuan Zheng et al.
  3.51
• Early Yield Prediction for Sugar Beet Fields using Satellite Data -- Learnings from Specialized Vision Transformers (2026)
  Philipp Vaeth et al.
  3.51
• Remote Awareness of Seafloor Images Collected by AUVs over Low-Bandwidth Communication Links (2026)
  Adrian Bodenmann et al.
  3.51
• Automated Extraction of Techno-Economic Data from 76,000 Energy System Studies (2026)
  Maxime Gorres et al.
  3.51
• A Deep Learning Framework for Predicting Solar EUV Irradiance During Significant Flares (2026)
  Sathvik Soman et al.
  3.51
• Predicting Channel Closures in the Lightning Network with Machine Learning (2026)
  Simone Antonelli et al.
  3.39
• Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future (2025)
  Qingwen Zeng et al.
  2.60