Results 191 to 200 of about 1,803 (260)

Vision-based adaptive path following controller for 4W mobile robots on varied terrains. [PDF]

Sci Rep
Chen Y, Zeng W, Liu X, Li N, Du S.
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

CrackNet-Weather: An Effective Pavement Crack Detection Method Under Adverse Weather Conditions. [PDF]

Sensors (Basel)
Wang W, Yu X, Jing B, Tang Z, Zhang W, Wang S, Xiao Y, Li S, Yang L.   +8 more
europepmc   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

Analysis of the Motion Characteristics of Coarse Aggregate Simulated by Smart Aggregate During the Compaction Process. [PDF]

Materials (Basel)
Wang X, Wang F, Li X, Guo S, Zhou Y.
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

Research on multi-sensor fusion architecture for highway area hazard monitoring based on UAVs. [PDF]

PLoS One
Wu H, Li S, Shan H, Lu Y, Hu K, Zheng W, Xie J.   +6 more
europepmc   +1 more source

Pavement Distress Detection Using Artificial Intelligence Algorithm

null Mahmuda, Didi Yuda Wiranata, null Revias, Lino Garda Denaro, Gamma Ade Pertiwi, M. Farizki Budiman, Zaki AlHusin Al Basami, Nabila Rara Sapitri   +7 more
openaire   +1 more source

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

Development and mechanical performance evaluation of a novel red mud-based filler for tunnel invert backfilling. [PDF]

Sci Rep
Yu J, Rao J, Song X, Wu P.
europepmc   +1 more source