Results 141 to 150 of about 41,653,367 (301)

Automated hand-marked semantic text recognition from photographs. [PDF]

Sci Rep, 2023
Suh S, Lee G, Gil D, Kim Y.
europepmc   +1 more source

Feature learning via partial differential equation with applications to face recognition

, 2017
Feature learning is a critical step in pattern recognition, such as image classification. However, most of the existing methods cannot extract features that are discriminative and at the same time invariant under some transforms.
Fang, Cong, Zhao, Zhenyu, Lin, Zhouchen, Zhou, Pan, Pan Zhou, Zhouchen Lin, Zhenyu Zhao, Cong Fang   +7 more
core   +1 more source

Understanding and Mitigating the Risk of Accelerated Biological Aging in Survivors of Cancer: A Scoping Review

Aging and Cancer, EarlyView.
Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi, Emily Herdman, Danielle Westmark, Vijaya R. Bhatt   +3 more
wiley   +1 more source

The FORBIN Dataset: A Collection of Historical Photographs With Archival Metadata

Journal of Open Humanities Data
Early photography and the first massification of the medium at the turn of the 20th century is foundational to present day visual cultures. This is specifically true of the visual archives of the first generation of news picture agencies from the 1900s ...
Mohamed Chelali, Sylvain-Karl Gosselet, Florence Cloppet, Camille Kurtz, Isabelle Bloch, Daniel Foliard   +5 more
doaj   +1 more source

Handwritten Text Recognition

International Journal of Advanced Research in Science, Communication and Technology
Handwritten text detection refers to the capacity of a computer system to interpret and understand handwritten input from various sources such as paper documents, touch displays, and photographs. Within the realm of pattern recognition, one specific area is handwritten text recognition, which involves categorizing and interpreting handwritten text.
null Tanishq Rampure, null Harsh Damahe, null Kundan Bharati, null Darshil Raj, null Namrata Naikwade   +4 more
openaire   +1 more source

Text+ goes BiblioCon – das Resümee

Autor:innen: Susanne Al-Eryani, José Calvo Tello, Barbara Fischer, Philippe Genêt Das wohl meistfotografierte Motiv der BiblioCon: Die  Lichtinstallation an der Decke in Saal 3 des CCH.
Text+ Mitglied
core   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

HubNet: An E2E Model for Wheel Hub Text Detection and Recognition Using Global and Local Features

Sensors
Automatic detection and recognition of wheel hub text, which can boost the efficiency and accuracy of product information recording, are undermined by the obscurity and orientation variability of text on wheel hubs.
Yue Zeng, Cai Meng
doaj   +1 more source

Text Detection and Recognition in Images and Videos

Text embedded in images and videos represents a rich source of information for content-based indexing and retrieval applications. In this paper, we present a new method for localizing and recognizing text in complex images and videos.
Bourlard, Hervé, Chen, Datong, Odobez, Jean-Marc   +2 more
core   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source