Results 151 to 160 of about 65,893 (254)

Application of Principal Component Analysis and Probabilistic Neural Networks in Ferralsols Recovery Evaluation Through Planting of Mabea Fistulifera and Eucalyptus Urograndis

Land Degradation &Development, EarlyView.
ABSTRACT This study presents an innovative assessment model for analyzing the evolution of degraded soils subjected to different reclamation strategies. The proposal combines statistical and artificial intelligence tools to jointly integrate multiple physical and chemical soil properties, allowing for a more synthetic view of the processes.
Melissa Alexandre Santos, Borja Velázquez‐Martí, Jorge João Delfim, Laura Silva Nantes, Jose Augusto Liberato de Souza, Gabriel Augusto da Silva Lunardelli, Dayara Vivian Alvares, Carolina dos Santos Batista Bonini   +7 more
wiley   +1 more source

Multi-family wavelet-based feature engineering method for short-term time series forecasting. [PDF]

Sci Rep
Yemets K, Izonin I, Mitoulis SA.
europepmc   +1 more source

Optical Coherence Tomography for High‐Precision Industrial Inspection in Industry 4.0: Advances, Challenges, and Future Trends

Laser &Photonics Reviews, EarlyView.
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya, Sm Abu Saleah, Daewoon Seong, Naresh Kumar Ravichandran, Sangyeob Han, Ruchire Eranga Wijesinghe, Mansik Jeon, Jeehyun Kim   +7 more
wiley   +1 more source

Inferring effective networks of spiking neurons using a continuous-time estimator of transfer entropy. [PDF]

PLoS Comput Biol
Shorten DP, Priesemann V, Wibral M, Lizier JT.   +3 more
europepmc   +1 more source

Predictive Modelling of Solvent Effects on Drug Incorporation into Polymeric Nanocarriers: A Machine Learning Approach

Macromolecular Rapid Communications, EarlyView.
When seeking nanoparticles with elevated drug loading content, the experimental setup, including solvent selection, is crucial. Through machine learning, we pinpointed that the drug's solubility in the organic solvent is the key factor for attaining high drug loading content.
Wei Ge, Ramindu De Silva, Yanan Fan, Scott A. Sisson, Martina H. Stenzel   +4 more
wiley   +1 more source

Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers

Macromolecular Rapid Communications, EarlyView.
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley   +1 more source

QuKAN: A Quantum Circuit Born Machine Approach to Quantum Kolmogorov Arnold Networks. [PDF]

Sci Rep
Werner Y, Malemath A, Liu M, Fortes Rey V, Palaiodimopoulos N, Lukowicz P, Kiefer-Emmanouilidis M.   +6 more
europepmc   +1 more source

The Hidden Burden of Hemifacial Spasm: A Systematic Review of Non‐Motor Symptoms

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Hemifacial spasm (HFS) is a chronic neurological disorder characterized by involuntary contractions of facial muscles. Traditionally regarded as a motor condition, HFS encompasses a spectrum of non‐motor symptoms that are often overlooked but significantly affect patients’ quality of life.
Miriam Carvalho Soares, Jacy Bezerra Parmera, Pedro Augusto Sampaio Rocha‐Filho   +2 more
wiley   +1 more source

Surface water quality prediction via an MLA-Mamba hybrid neural network with GRPO optimization. [PDF]

Sci Rep
Wei R, Chen H, Wang H.
europepmc   +1 more source

In Vivo Mapping of Catecholaminergic Loss and Iron Deposition in Huntington's Disease

Movement Disorders, EarlyView.
Abstract Background The pathophysiology of Huntington's disease (HD) remains obscure. Magnetic resonance imaging (MRI) can reveal in vivo molecular changes related to disease pathology. Objectives To investigate catecholaminergic neuronal integrity and subcortical brain iron accumulation in HD employing neuromelanin‐sensitive MRI, and quantitative ...
Edoardo R. de Natale, Heather Wilson, Efstratios Karavasilis, Athanasia Liozidou, Chrisoula Kartanou, Georgios Velonakis, Jens Kuhle, Ioannis Zalonis, Georgia Karadima, Leonidas Stefanis, Georgios Koutsis, Marios Politis   +11 more
wiley   +1 more source