Results 231 to 240 of about 197,240 (304)

Quantitative and morphological effects of age, body mass index, and sex on the peroneal nerve: A 3 tesla magnetic resonance imaging study. [PDF]

Neuroradiol J
Keküllüoglu OA, Wiener E.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Beyond the patch: leveraging functional habitat delineation in fragmentation-biodiversity research. [PDF]

Landsc Ecol
Dennis M, Huck J, Holt C, McHenry E, Andersson E, Sharma S, Haase D.   +6 more
europepmc   +1 more source

Spatial and Proteolytic Determinants of Therapeutic Potential in HER2‐Low Breast Cancer

Advanced Science, EarlyView.
Deqian Xie, Wei Dai, Guangzhen Wu
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

A novel intuitionistic fuzzy Yager aggregation framework for decision making in green supply chains. [PDF]

Sci Rep
Kumar Y, Ramalingam S, Zegeye GB.
europepmc   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Analyzing barriers to construction waste minimization and circular economy culture in Building projects using fuzzy DEMATEL. [PDF]

Sci Rep
Shahid MU, Ali M.
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

A fuzzy ZE-number group decision-making framework using BWM and MABAC for risk assessment in medicinal plant extraction. [PDF]

PLoS One
Gheytasi F, Kianifard M, Ghoushchi SJ, Hafez-Ghoran S, Maghami MR, Mohamed M.   +5 more
europepmc   +1 more source