Results 31 to 40 of about 496,139 (318)

Breakthrough Solution for Antimicrobial Resistance Detection: Surface‐Enhanced Raman Spectroscopy‐based on Artificial Intelligence

open access: yesAdvanced Materials Interfaces, EarlyView., 2023
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi   +4 more
wiley   +1 more source

A Systematic Review of the Role of Learning Analytics in Supporting Personalized Learning

open access: yesEducation Sciences, 2023
Personalized learning is becoming more important in today’s diverse classrooms. It is a strategy that tailors instruction to each student’s abilities and interests.
Ean Teng Khor, Mutthulakshmi K
doaj   +1 more source

Person Search Challenges and Solutions: A Survey [PDF]

open access: yesarXiv, 2021
Person search has drawn increasing attention due to its real-world applications and research significance. Person search aims to find a probe person in a gallery of scene images with a wide range of applications, such as criminals search, multicamera tracking, missing person search, etc.
arxiv  

Prediction of DNA-Binding Protein–Drug-Binding Sites Using Residue Interaction Networks and Sequence Feature

open access: yesFrontiers in Bioengineering and Biotechnology, 2022
Identification of protein–ligand binding sites plays a critical role in drug discovery. However, there is still a lack of targeted drug prediction for DNA-binding proteins. This study aims at the binding sites of DNA-binding proteins and drugs, by mining
Wei Wang   +7 more
doaj   +1 more source

Personalizing or Not: Dynamically Personalized Federated Learning with Incentives [PDF]

open access: yesarXiv, 2022
Personalized federated learning (FL) facilitates collaborations between multiple clients to learn personalized models without sharing private data. The mechanism mitigates the statistical heterogeneity commonly encountered in the system, i.e., non-IID data over different clients.
arxiv  

MetaAge: Meta-Learning Personalized Age Estimators [PDF]

open access: yes, 2022
Different people age in different ways. Learning a personalized age estimator for each person is a promising direction for age estimation given that it better models the personalization of aging processes. However, most existing personalized methods suffer from the lack of large-scale datasets due to the high-level requirements: identity labels and ...
arxiv   +1 more source

Predicting Transfer of Generic Information Literacy Competencies by Non-Traditional Students to Their Study and Work Contexts: A Longitudinal Perspective

open access: yesEducation Sciences
Rapid developments in contemporary societies not only ask for lifelong learning but increasingly also for training in generic competencies suitable for multiple contexts and life stages.
Laurent Testers   +3 more
doaj   +1 more source

Sequential Transformer for End-to-End Person Search [PDF]

open access: yesarXiv, 2022
Person Search aims to simultaneously localize and recognize a target person from realistic and uncropped gallery images. One major challenge of person search comes from the contradictory goals of the two sub-tasks, i.e., person detection focuses on finding the commonness of all persons so as to distinguish persons from the background, while person re ...
arxiv  

Incorporating personalized learning in a role-playing game environment via SID model: a pilot study of impact on learning performance and cognitive load

open access: yesSmart Learning Environments, 2022
While role-playing games and personalized learning have been regarded as effective tools to improve students’ learning, incorporating personalized learning into role-playing games is challenging and approaches are limited to cognitive and motivational ...
Lin Zhong
doaj   +1 more source

Personalized Intervention based on the Early Prediction of At-risk Students to Improve Their Learning Performance

open access: yesEducational Technology & Society, 2023
To improve students’ learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence.
Anna Y. Q. Huang   +6 more
doaj   +1 more source

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