Sensing the Action: Rethinking Sensor Modalities and Multi-Modal Fusion in Vision-Language-Action Models for Robotic Manipulation. [PDF]
Ko BC.
europepmc +1 more source
Automatic monitoring of lettuce fresh weight by multi-modal fusion based deep learning. [PDF]
Lin Z +5 more
europepmc +1 more source
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
MMLF: Multi-modal Multi-class Late Fusion for Object Detection with Uncertainty Estimation [PDF]
Autonomous driving necessitates advanced object detection techniques that integrate information from multiple modalities to overcome the limitations associated with single-modal approaches.
Yang, Qihang, Cheng, Hong, Zhao, Yang
core
A deep learning-based multi-modal fusion framework for football foul recognition and referee decision assistance. [PDF]
Xue C, Gao Z.
europepmc +1 more source
Performance Improvement of NIR Spectral Pattern Recognition from Three Compensation Models' Voting and Multi-Modal Fusion. [PDF]
Ye N +7 more
europepmc +1 more source
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani +10 more
wiley +1 more source
The evolution of object detection from CNNs to transformers and multi-modal fusion. [PDF]
Wang Z +5 more
europepmc +1 more source
Accurate Kidney Pathological Image Classification Method Based on Deep Learning and Multi-Modal Fusion Method with Application to Membranous Nephropathy. [PDF]
Hao F, Liu X, Li M, Han W.
europepmc +1 more source
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source

