Results 261 to 270 of about 52,085 (312)
Efficient crack and surface-type recognition via CNN-block development mechanism and edge profiling. [PDF]
Raza A, Hanif F, Mohammed HA.
europepmc +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Efficient Deep Wavelet Gaussian Markov Dempster-Shafer Network-Based Spectrum Sensing at Very Low SNR in Cognitive Radio Networks. [PDF]
Jatti S, Tyagi A.
europepmc +1 more source
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
Augmented reality-driven organ deformation modeling: a roadmap for next-generation intraoperative navigation. [PDF]
Suleman MU +3 more
europepmc +1 more source
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
Automatic melanoma and non-melanoma skin cancer diagnosis using advanced adaptive fine-tuned convolution neural networks. [PDF]
Khan MA +6 more
europepmc +1 more source
AIstain: Enhancing microglial phagocytosis analysis through deep learning. [PDF]
Zähringer A +6 more
europepmc +1 more source
Application of Spectral Approach Combined with U-NETs for Quantitative Microwave Breast Imaging. [PDF]
Diès A, Roussel H, Joachimowicz N.
europepmc +1 more source

