Results 101 to 110 of about 414,528 (301)

A Qualitative Study of Senior Residents’ Strategies to Prepare for Unsupervised Practice

Western Journal of Emergency Medicine
Introduction: As emergency medicine (EM) residents prepare for the transition into unsupervised practice, their focus shifts from demonstrating competencies within familiar training environments to anticipating their new roles and responsibilities as ...
Max Griffith, Alexander Garrett, Bjorn K. Watsjold, Joshua Jauregui, Mallory Davis, Jonathan S. Ilgen   +5 more
doaj   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

Performance of unsupervised machine learning methods using chi-squared weights for LiDAR point cloud filtering in urban areas

, 2021
Alper Şen, Barış Süleymanoğlu, Metin Soycan   +2 more
openalex   +2 more sources

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

Unsupervised Learning of Morphology

Computational Linguistics, 2021
Harald Hammarström, Lars Borin
doaj   +1 more source

Integrating pathomics and deep learning for subtyping uveal melanoma: identifying high-risk immune infiltration profiles

Frontiers in Immunology
PurposeUveal melanoma (UVM) is the most common primary intraocular malignancy in adults, characterized by high mortality despite its relatively low incidence.
Qi Wan, Ran Wei, Hongbo Yin, Jing Tang, Ying-ping Deng, Ke Ma   +5 more
doaj   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Finding Clusters and Components by Unsupervised Learning [PDF]

, 2004
Erkki Oja
openalex   +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

Contrastive Transfer Learning for Prediction of Adverse Events in Hospitalized Patients

IEEE Journal of Translational Engineering in Health and Medicine
Objective: Deterioration index (DI) is a computer-generated score at a specific frequency that represents the overall condition of hospitalized patients using a variety of clinical, laboratory and physiologic data.
Hojjat Salehinejad, Anne M. Meehan, Pedro J. Caraballo, Bijan J. Borah   +3 more
doaj   +1 more source