Results 211 to 220 of about 53,606 (313)

Approaching human visual perception through AI-based representation of figure-ground segregation. [PDF]

Front Psychol
Yip C, Moroze E, Nishina S, Yazdanbakhsh A.   +3 more
europepmc   +1 more source

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

Early Tuberculosis Detection via Privacy-Preserving, Adaptive-Weighted Deep Models. [PDF]

Diagnostics (Basel)
Gasmi K, Alanazi A, Ben Aoun N, Altaieb MO, Abdalrahman AEM, Hamid O, Almenwer S, Ben Ammar L, Yahyaoui S, Mrabet M.   +9 more
europepmc   +1 more source

Enhancing Atomic‐Resolution in Electron Microscopy: A Deep Learning Denoiser Operating in the Frequency Domain

Advanced Intelligent Systems, EarlyView.
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet, Marc Botifoll, Xuli Chen, Martin Børstad Eriksen, Jing Yu, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Jordi Arbiol   +8 more
wiley   +1 more source

Genetic risk predictions using deep learning models with summary data. [PDF]

Front Bioinform
Wang A, Xiao E, Cheng J, Shen X.
europepmc   +1 more source

Segmentation and Tracking of Solar Eruptive Phenomena with Convolutional Neural Networks (CNN)

Oleg Stepanyuk, Kamen Kozarev
openalex   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

Deep Learning-Enabled Multi-Omics Integration: A New Frontier in Precise Drug Target Discovery. [PDF]

Biology (Basel)
Ren Y, Bai H, Wang J, Yang Y, Wang Y.
europepmc   +1 more source

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

Advanced Intelligent Systems, EarlyView.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li, Xiaomei Wang, Xiaoqi Song, Chenchen Fan, Bohao Zhu, Jianan Peng, Qixin Liang, James Lam, Kam‐Yim Sze, Ka‐Wai Kwok   +9 more
wiley   +1 more source

Binary classification of signal and background triggers of a transition edge sensor using convolutional neural networks. [PDF]

Sci Rep
Rivasto E, Isleif KS, Januschek F, Lindner A, Meyer M, Othman G, Rubiera Gimeno JA, Schwemmbauer C.   +7 more
europepmc   +1 more source