Results 201 to 210 of about 15,996,300 (248)
A two-stage hierarchical runoff bias correction framework for observation-constrained river flow reconstruction. [PDF]
Xiong Z, Jiang J, Tang L.
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Model-based cardiac field artefact correction for OP-MEG. [PDF]
Woelk SP +4 more
europepmc +1 more source
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
An LLM-Based Framework for the Automatic Generation of SysML Models. [PDF]
An B, Lei T, Tian G.
europepmc +1 more source
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source
Anchor-Point Modulation for Multiplanar Hip Torque Generation in Cable-Driven Exosuits: A Geometry-Based Empirical Model. [PDF]
Pramod AS, Park S, Choo J, Lee G.
europepmc +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Motion-State-Aware Adaptive Step-Length Smartphone PDR for GPS-Denied Pedestrian Localization. [PDF]
Liu H, Dou W, Wang H.
europepmc +1 more source

