Results 31 to 40 of about 46,923 (222)

Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays

open access: yesAdvanced Sensor Research, EarlyView.
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley   +1 more source

Super-d-complexity of finite words [PDF]

open access: yes, 2010
In this paper we introduce and study a new complexity measure for finite words. For positive integer $d$ special scattered subwords, called super-$d$-subwords, in which the gaps are of length at least $(d-1)$, are defined.
Kása, Zoltán
core  

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

open access: yesAdvanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su   +14 more
wiley   +1 more source

Distributed Model Predictive Control Using a Chain of Tubes

open access: yes, 2017
A new distributed MPC algorithm for the regulation of dynamically coupled subsystems is presented in this paper. The current control action is computed via two robust controllers working in a nested fashion.
Hernandez, Bernardo, Trodden, Paul
core   +1 more source

Decoding the Cellular Heterogeneity and Malignant Progression of Human Penile Squamous Cell Carcinoma by Single‐Cell RNA Sequencing

open access: yesAdvanced Science, EarlyView.
Single‐cell transcriptomic and functional analyses identify SEMA3C as a key regulator of tumor progression and tumor microenvironment remodeling in penile squamous cell carcinoma. SEMA3C promotes epithelial–mesenchymal transition, tumor growth, and invasion while shaping an immunosuppressive microenvironment, highlighting its potential as a prognostic ...
Xiheng Hu   +21 more
wiley   +1 more source

Comparing conceptual and super ensemble deep learning models for streamflow simulation in data-scarce catchments

open access: yesJournal of Hydrology: Regional Studies
Study Region: Sore and Masha river catchments in Baro Akobo river basin: Ethiopia. Study Focus: This research addresses the challenges associated with conventional data-driven streamflow modelling, which often exhibits inconsistent performance across ...
Eyob Betru Wegayehu   +1 more
doaj   +1 more source

Single‐Field Evolution Rule Governs the Dynamics of Representational Drift in Mouse Hippocampal Dorsal CA1 Region

open access: yesAdvanced Science, EarlyView.
Long‐term hippocampal place‐code dynamics are investigated using calcium imaging across weeks of maze navigation. Analyses reveal a novelty‐irrelevant Single‐Field Evolution Rule (SFER), where active fields promote persistence and inactive fields decline.
Cong Chen   +10 more
wiley   +1 more source

Coalmine image super-resolution reconstruction via fusing multi-dimensional feature and residual attention network

open access: yesMeitan kexue jishu
The complex underground environment of coal coalmines, influenced by lighting, coal dust, and water mist, often results in collected images with blurred details and missing textures, leading to decreased image resolution and posing significant ...
Jian CHENG   +5 more
doaj   +1 more source

Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning

open access: yes, 2017
Recent advances in Generative Adversarial Learning allow for new modalities of image super-resolution by learning low to high resolution mappings.
Bosch, Marc   +2 more
core   +1 more source

HIDF: Integrating Tree‐Structured scRNA‐seq Heterogeneity for Hierarchical Deconvolution of Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
The prevailing neglect of cellular hierarchies in current spatial transcriptomics deconvolution often obscures cellular heterogeneity and impedes the identification of fine‐grained subtypes. To address this issue, HIDF employs a cluster‐tree and dual regularization to systematically model cellular hierarchical structures.
Zhiyi Zou   +5 more
wiley   +1 more source

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