Results 171 to 180 of about 1,171,833 (351)

Identifying Cardiovascular Disease Risk Endotypes of Adolescent Major Depressive Disorder Using Exploratory Unsupervised Machine Learning [PDF]

Anisa F. Khalfan, Susan C. Campisi, Ronda F. Lo, Brian W. McCrindle, Daphne J. Korczak   +4 more
openalex   +1 more source

Neuromorphic Photonic Processing and Memory With Spiking Resonant Tunneling Diode Neurons and Neural Networks

Advanced Intelligent Systems, EarlyView.
This work shows resonant tunneling diode‐based opto‐electronic spiking neurons enabling fast edge detection in time series, a two‐layer photonic spiking neural network for complex classification, and a depth‐tunable photonic spiking memory system. Neuromorphic computing—modeled after the functionality and efficiency of biological neural systems—offers ...
Dafydd Owen‐Newns, Joshua Robertson, Giovanni Donati, Qusay Al‐Taai, José Figueiredo, Edward Wasige, Kathy Lüdge, Bruno Romeira, Antonio Hurtado   +8 more
wiley   +1 more source

Identifying key gait features in stroke patients using wearable inertial sensors and supervised and unsupervised machine learning. [PDF]

Sci Rep
Brasiliano P, Orejel-Bustos AS, Belluscio V, Cereatti A, Della Croce U, Trabassi D, Salis F, Tramontano M, Buzzi MG, Vannozzi G, Bergamini E.   +10 more
europepmc   +1 more source

Improving the Security of Autonomous Vehicles using Unsupervised Machine Learning

, 2020
Sophia Sklar
openalex   +1 more source

Uncovering electronic and geometric descriptors of chemical activity for metal alloys and oxides using unsupervised machine learning

Chem Catalysis, 2021
J. Esterhuizen, B. R. Goldsmith, S. Linic, A. Banerjee, G. Pilania, F. Doherty, Z., Wang, S. Young, N. Singh, H. Agarwal, J. Florian, R. B., Goldsmith, C. Buchanan, E. Ko, S. Cira, M., Balasubramanian, H., Ming Yang, I. Barth, A Agarwal, J.-X. Liu, D. Rayner, A. Fielicke   +25 more
semanticscholar   +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

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning. [PDF]

Proc Natl Acad Sci U S A
Hartmann G, Blakesley T, dePolo PE, Brusatte SL.   +3 more
europepmc   +1 more source

Human skin detection: An unsupervised machine learning way

Abm Rezbaul Islam, Ali Alammari, Bill P. Buckles   +2 more
openalex   +1 more source

Development of Gamma Background Radiation Digital Twin with Machine Learning Algorithms: Application of Unsupervised Machine Learning to Detection of Anomalies and Nuisances in Gamma Background Radiation Environmental Screening Data

, 2020
Allen Herrera, Eugene Moore, Alexander Heifetz   +2 more
openalex   +2 more sources

A robust unsupervised machine-learning method to quantify the morphological heterogeneity of cells and nuclei

Nature Protocols, 2021
J. Phillip, Kyu-Sang Han, Wei-Chiang Chen, D. Wirtz, Pei-Hsun Wu   +4 more
semanticscholar   +1 more source