Results 261 to 270 of about 272,983 (328)

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Design Considerations for a 120 GHz MIMO Sparse Radar Array Based on SISO Integrated Circuits. [PDF]

Sensors (Basel)
Ferro L, Li C, Cardillo E.
europepmc   +1 more source

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

Robust Low-Snapshot DOA Estimation for Sparse Arrays via a Hybrid Convolutional Graph Neural Network. [PDF]

Sensors (Basel)
Zhu H, Zhao H, Bao C, Shi Y, He W.
europepmc   +1 more source

Super-resolution tactile sensor arrays with sparse units enabled by deep learning

Depeng Kong, Yuyao Lu, Shuyao Zhou, Mengke Wang, Gaoyang Pang, Baocheng Wang, Lipeng Chen, Xiaoyan Huang, Honghao Lyu, Kaichen Xu, Geng Yang   +10 more
openalex   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Liquid Patterning Using Droplet Impact on Textured Nonwetting Surfaces. [PDF]

ACS Appl Mater Interfaces
Gidreta BT, Williams E, Remer M, Adera S.   +3 more
europepmc   +1 more source

Simultaneous clustering and estimation of networks in multiple graphical models. [PDF]

Biostatistics
Li G, Wang M.
europepmc   +1 more source

A Hybrid Diffusion Model Enhances Multiparametric 3D Photoacoustic Computed Tomography. [PDF]

Adv Sci (Weinh)
Jeong H, Oh S, Choi S, Kim J, Yang J, Kim C.   +5 more
europepmc   +1 more source