Influencing factors for childbirth readiness among pregnant women based on the reciprocal determinism theory and backpropagation neural network: a cross-sectional study in China. [PDF]
Mengmei Y +4 more
europepmc +1 more source
This work addresses challenges including the nonlinear weight‐conductance update and the trade‐off between increasing melting uniformity and reducing solid‐to‐liquid transition time. It utilizes all four melting states to create an integrated framework for attaining in‐memory computing and deep neural network applications. The framework achieves a near‐
Kian‐Guan Lim +7 more
wiley +1 more source
Backpropagation DNN and Thermokinetic Analysis of the Thermal Devolatilization of Dried Pulverized <i>Musa sapientum</i> (Banana) Peel. [PDF]
Otaru AJ.
europepmc +1 more source
Organic neuromorphic electronics powering intelligent sensory and edge computing systems
Organic electronic materials are promising candidates for neuromorphic sensing applications, including chemical, physical, visual, and multimodal sensing, owing to their mechanical softness, biocompatibility, and intrinsic ionic–electronic coupling.
Seungjun Woo +5 more
wiley +1 more source
An intelligent prediction method for ROP in drilling based on optimized PSO-BP neural network. [PDF]
Zou Z.
europepmc +1 more source
To address the limitations of conventional trial‐and‐error approaches, perovskite solar cell research is shifting toward a new paradigm that utilizes datasets and AI. This review examines the fundamental elements of data‐driven and AI‐integrated research: data platforms, AI methodologies, and self‐driving laboratories, demonstrating how their ...
Jaehee Lee +5 more
wiley +1 more source
Computational framework and machine learning approach to fractional order soil helminth infections disease model for control mechanism. [PDF]
Nisar KS +4 more
europepmc +1 more source
Self‐powered chiral organic photodiodes function as polarization‐sensitive convolutional filters for circularly polarized light‐driven optical convolutional neural networks. This conceptually innovative architecture enables dynamic weight modulation, bias‐free operation, and exceptional noise resilience, boosting feature extraction fidelity from 0.15 ...
Lixuan Liu +9 more
wiley +1 more source
Deep learning interpretability in neuroimaging: A comprehensive survey and methodological recommendations. [PDF]
Rahman MM, Calhoun V, Plis S.
europepmc +1 more source
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu +20 more
wiley +1 more source

