Results 171 to 180 of about 3,102 (223)

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Predicting delayed antenatal care initiation among pregnant women in East Africa: using machine learning algorithms. [PDF]

Front Glob Womens Health
Baykemagn ND, Taye EA, Melaku MS, Yehuala TZ, Tewelgne MF, Arage FG, Zegeye AT.   +6 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Research on the automation of intelligent accounting information processing process driven by neural networks. [PDF]

Sci Rep
Cai M.
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Integrating GPT-4o Into Data Mining in Neurosurgery: Feasibility and Proof-of-Concept Study. [PDF]

JMIR Form Res
Almeida Sales AH, Beck J, Grauvogel J.
europepmc   +1 more source

NiaARM.jl: A Julia Framework for Numerical Association Rule Mining Using Nature‑Inspired Optimization Algorithms

Journal of Open Source Software
Žiga Stupan, Tilen Hliš, Iztok Fister Jr.   +2 more
openaire   +1 more source

A food safety targeted sampling decision-making method based on association rule mining and GNNs. [PDF]

NPJ Sci Food
Yu J, Ma X, Zhang X, Cui X, Chen S, Zhao Z.   +5 more
europepmc   +1 more source

IRS assisted hybrid HAP UAV uplink NOMA networks: an interference aware optimization framework. [PDF]

Sci Rep
Alhashmi AA, Alshammari AB, Abdullah M, Alghawli ASA, Alkhaldi TM, Darem LA, Mohamed IB, Darem AA.   +7 more
europepmc   +1 more source

Automatic Generation of a Mechanical Properties Question-Answering Data Set for Language Model Benchmarking: A Comparative Study of BERT, XLNet, and LLaMA Models. [PDF]

J Chem Inf Model
Zhang M, Cole JM.
europepmc   +1 more source