Results 141 to 150 of about 1,211 (280)

Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes

Advanced Intelligent Systems, EarlyView.
Neural networks enable echolocation‐based shape classification but remain difficult to interpret due to their black‐box nature. This work presents a feature‐importance metric to uncover the echo regions driving decisions in shape‐specialized networks.
Ganesh U. Patil, Hyung‐Suk Kwon, Bogdan‐Ioan Popa   +2 more
wiley   +1 more source

An analytic research and review of the literature on practice of artificial intelligence in healthcare. [PDF]

Eur J Med Res
Mizna S, Arora S, Saluja P, Das G, Alanesi WA.   +4 more
europepmc   +1 more source

Using technology-enabled social prescriptions to disrupt healthcare. [PDF]

J R Soc Med, 2020
Jungmann S, Mistry P, Conibear T, Gray M, Jani A.   +4 more
europepmc   +1 more source

Numerical analysis of magnetohydrodynamics Casson nanofluid flow with activation energy, Hall current and thermal radiation. [PDF]

Sci Rep, 2023
Suresh Kumar Y, Hussain S, Raghunath K, Ali F, Guedri K, Eldin SM, Khan MI.   +6 more
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Enhancing Enzyme Activity With Mutation Combinations Guided by Few‐Shot Learning and Causal Inference

Angewandte Chemie, EarlyView.
We present an integrated workflow that predicts activity‐enhancing mutation combinations from minimal experimental data. By proposing in vivo unit yield (yield/expression) as a surrogate for kcat/Km through causal inference, and visualizing local activity landscape, it effectively guides product yield improvement. ABSTRACT Designing enzyme sequences to
Lin Guo, Xiaoguang Yan, Yali Lu, Shengxin Nie, Mingyue Ge, Yukun Li, Weiguo Li, Xiaochun Zhang, Dongmei Liang, Yihan Zhao, Hongxiao Tan, Xiling Chen, Shilong Fan, Yefeng Tang, Jianjun Qiao, Boxue Tian   +15 more
wiley   +2 more sources

ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: quantum computing in agricultural sciences: from theory to reality. [PDF]

J Anim Sci
Tedeschi LO.
europepmc   +1 more source

Enhanced Monocular Depth Estimation Using ResNet Backbone and Multiscale Feature Decoding for Precise Object Distance Measurement

Advanced Intelligent Systems, EarlyView.
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad, Misbah Bibi, Murad Ali Khan, Syed Shehryar Ali Naqvi, Adnan Ejaz Muhammad, Do-Hyeun Kim   +5 more
wiley   +1 more source

Unbiased Structure Prediction of Sophisticated Cage Structures

Angewandte Chemie, EarlyView.
We introduce the software and workflow for automated, unbiased exploration of all possible connectivities of a given set of building blocks and their stoichiometry to predict stable cage structures. ABSTRACT Cage structure prediction has made significant strides by generating structures based on what the community has seen before.
Andrew Tarzia, Giovanni M. Pavan
wiley   +2 more sources

Scene‐Customized Learning for Multi‐Depth 3D Phase‐Only Hologram Generation

Advanced Intelligent Systems, EarlyView.
 Scene‐customized geometric modeling constructs GM‐4K, a controllable 4K RGB‐D dataset for learning‐based multi‐depth hologram generation. By tuning intensity spectra and depth‐region sampling, the dataset reveals how training‐data statistics affect phase‐only hologram encoding and supports a spectral test framework for evaluating model generalization ...
Yanan Zhang, Jiaqi Li, Tao Jing, Yang Yu, Yang Zhang, Xingpeng Yan   +5 more
wiley   +1 more source