Results 211 to 220 of about 241,960 (267)

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

Voices From the NICU: Exploring Lived Maternal Experiences and Challenges in Caring for Preterm Newborns in Central Ethiopia: A Phenomenological Study. [PDF]

Health Sci Rep
Eriso M, Selamu M, Bubamo BF, Beykaso G, Tumiso H, Bogale EK, Getahun GK, Agide FD.   +7 more
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Draft genome sequences of '<i>Candidatus</i> Liberibacter solanacearum' haplotype E isolated from carrot psyllids in France. [PDF]

Microbiol Resour Announc
Remenant B, Cousseau-Suhard P, Leroux A, Blanchard Y, Loiseau M.   +4 more
europepmc   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Comparative plastome analyses and evolutionary relationships of <i>Drynaria</i>. [PDF]

Front Plant Sci
Chen XH, Shu JP, Li J, Yan YH, Zheng XL, Gu YF.   +5 more
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Evaluating UCE Data Adequacy and Integrating Uncertainty in a Comprehensive Phylogeny of Ants. [PDF]

Syst Biol
Borowiec ML, Zhang YM, Neves K, Ramalho MO, Fisher BL, Lucky A, Moreau CS.   +6 more
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Power-efficient hardware architecture for 2-D multiple transforms in VVC. [PDF]

Sci Rep
Palagani MB, Nalluri P.
europepmc   +1 more source