Results 181 to 190 of about 2,178 (251)

The Many Faces of Indeterminacy in Interactive Deadbots. [PDF]

Philos Technol
Kozlovski A, Harbinja E, Dobbe R.
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Eric Schmidt & Jared Cohen, The New Digital Age: Reshaping the Future of People, Nations and Business

International Journal of Communication, 2013
Martin Hilbert
doaj  

Classifying Convergences in the Light of Horizontal Gene Transfer: Epaktovars and Xenotypes. [PDF]

Mol Biol Evol
McInerney JO.
europepmc   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Identifying and predicting gait stability metrics in people with stroke in uneven-surface walking using machine learning. [PDF]

Sci Rep
Inui Y, Takamura Y, Nishi Y, Morioka S.
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

An AI-enhanced evidence-mapping framework for exhaled breathomics in cancer diagnostics: integrating multiple large language models (2005-early 2025). [PDF]

Discov Oncol
Sun Y, Cheng G, Liu Y, Han J, Wang Y, Zhou J, Duan Y, Liu J.   +7 more
europepmc   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Lost in .*VCF Translation. From Data Fragmentation to Precision Genomics: Technical, Ethical, and Interpretive Challenges in the Post-Sequencing Era. [PDF]

J Pers Med
Chetta M, Tarsitano M, Bukvic N, Fontana L, Miozzo MR.   +4 more
europepmc   +1 more source