Results 61 to 70 of about 1,888,792 (317)

FloBlocks: an affordable and extensible tool for tangible block programming in education

Discover Education
High costs often restrict access to programming education, especially in underserved communities. To address this, we introduce FloBlocks, a novel, low-cost educational tool that integrates tangible flowchart programming with computer vision.
Devansh Rathor, Gaurav Mehta, Advika Lad, Ragini Mishra, Aruna Gawade   +4 more
doaj   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data

Scientific Reports
Comprehending how humans process visual information in dynamic settings is crucial for psychology and designing user-centered interactions. While mobile eye-tracking systems combining egocentric video and gaze signals can offer valuable insights, manual ...
Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag   +7 more
doaj   +1 more source

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou, Marc Jaskir, Julian Gal, Yombe Fonkeu, Christos Davatzikos, MacLean P. Nasrallah, Jose Garcia, Stephen J. Bagley, Arati Desai, Richard E. Phillips, Steven Tobochnik, Colin A. Ellis, James J. Gugger, Nishant Sinha, Joel M. Stein, Kathryn A. Davis   +15 more
wiley   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Pattern recognition issues on anisotropic smoothed particle hydrodynamics

, 2013
This is a preliminary theoretical discussion on the computational requirements of the state of the art smoothed particle hydrodynamics (SPH) from the optics of pattern recognition and artificial intelligence.
Marinho, Eraldo Pereira
core   +1 more source

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

International Journal of Information Management, 2019
As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity ...
Yogesh Kumar Dwivedi, Laurie Hughes, Elvira R. Ismagilova, G. Aarts, Crispin R. Coombs, Tom Crick, Y. Duan, R. Dwivedi, J. Edwards, Aled Eirug, Vassilis Galanos, P. Ilavarasan, M. Janssen, Paul Jones, A. Kar, Hatice Kizgin, Bianca Kronemann, Banita Lal, B. Lucini, R. Medaglia, K. L. Meunier-FitzHugh, L. Meunier-FitzHugh, S. Misra, E. Mogaji, S. Sharma, J. Singh, Vishnupriya Raghavan, R. Raman, Nripendra P. Rana, Spyridon Samothrakis, Jak Spencer, K. Tamilmani, Annie Tubadji, P. Walton, Michael D. Williams   +34 more
semanticscholar   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

eyeNotate: Interactive Annotation of Mobile Eye Tracking Data Based on Few-Shot Image Classification

Journal of Eye Movement Research
Mobile eye tracking is an important tool in psychology and human-centered interaction design for understanding how people process visual scenes and user interfaces.
Michael Barz, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, Duy Minh Ho Nguyen, Kristin Altmeyer, Sarah Malone, Daniel Sonntag   +6 more
doaj   +1 more source

xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning

Sensors, 2022
With tracking systems becoming more widespread in sports research and regular training and competitions, more data are available for sports analytics and performance prediction. We analyzed 2523 ski jumps from 205 athletes on five venues. For every jump,
Johannes Link, Leo Schwinn, Falk Pulsmeyer, Thomas Kautz, Bjoern M. Eskofier   +4 more
doaj   +1 more source