Results 41 to 50 of about 496,139 (318)

Online Personalized Learning Path Recommendation Based on Saltatory Evolution Ant Colony Optimization Algorithm

Mathematics, 2023
To solve the problems of slow convergence and low accuracy when the traditional ant colony optimization (ACO) algorithm is applied to online learning path recommendation problems, this study proposes an online personalized learning path recommendation ...
Shugang Li, Hui Chen, Xin Liu, Jiayi Li, Kexin Peng, Ziming Wang   +5 more
doaj   +1 more source

Students’ adaptive deep learning path and teaching strategy of contemporary ceramic art under the background of Internet +

Frontiers in Psychology, 2022
With the rapid expansion of Internet technology, this research aims to explore the teaching strategies of ceramic art for contemporary students. Based on deep learning (DL), an automatic question answering (QA) system is established, new teaching ...
Rui Zhang, Xianjing Yao, Lele Ye, Min Chen   +3 more
doaj   +1 more source

NanoCMSer: a consensus molecular subtype stratification tool for fresh‐frozen and paraffin‐embedded colorectal cancer samples

Molecular Oncology, EarlyView.
Consensus molecular subtypes (CMS1‐4) have been identified to study colorectal cancer heterogeneity and serve as potential biomarkers. In this study, we developed and evaluated NanoCMSer, a NanoString‐based classifier using 55 genes, optimized for FF and FFPE to facilitate the clinical evaluation of CMS subtyping.
Arezo Torang, Simone van de Weerd, Veerle Lammers, Sander van Hooff, Inge van den Berg, Saskia van den Bergh, Miriam Koopman, Jan N. IJzermans, Jeanine M. L. Roodhart, Jan Koster, Jan Paul Medema   +10 more
wiley   +1 more source

The Influence of Personalized Web-Based Learning on The Mastery and Application of Concepts in Students with Different Learning Styles

Jurnal Teknologi Pendidikan
Conventional learning has limitations, leading researchers to propose personalized web-based learning tailored to individual student characteristics.
Abdul Haris Indrakusuma, Punaji Setyosari, Sulton, Waras   +3 more
doaj   +1 more source

Learning Person-specific Network Representation for Apparent Personality Traits Recognition [PDF]

arXiv, 2023
Recent studies show that apparent personality traits can be reflected from human facial behavior dynamics. However, most existing methods can only encode single-scale short-term facial behaviors in the latent features for personality recognition. In this paper, we propose to recognize apparent personality recognition approach which first trains a ...
arxiv  

Explorations in Personal Learning

Procedia - Social and Behavioral Sciences, 2013
AbstractIn this paper I want to explore personal learning: I want to start by examining two personal experiences of learning that point to problems in learning theory. The issues that I want to explore relate not only to my theory of learning but to many other theories as well.
openaire   +2 more sources

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

CHAT-ACTS: A pedagogical framework for personalized chatbot to enhance active learning and self-regulated learning

Computers and Education: Artificial Intelligence, 2023
The CHAT-ACTS pedagogical framework presented in this paper integrates personalized chatbots into active and self-regulated learning (SRL) to enhance student engagement, motivation, and learning outcomes.
Michael Pin-Chuan Lin, Daniel Chang
doaj  

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences [PDF]

arXiv, 2021
We address the problem of visible-infrared person re-identification (VI-reID), that is, retrieving a set of person images, captured by visible or infrared cameras, in a cross-modal setting. Two main challenges in VI-reID are intra-class variations across person images, and cross-modal discrepancies between visible and infrared images. Assuming that the
arxiv