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Academic Articles & Research Papers
Showing 20 of 214 academic articles
Qianxia Jiang, Xiayu Summer Chen, Dev Patel, Keith Brazendale et al. • JMIR Pediatrics and Parenting
(2026)
Abstract
BackgroundAI-enabled chatbots and related conversational systems can facilitate human–computer interaction through natural language, personalization, and automated support. In pediatric health promotion, these tools hav...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/98889
Neale ZE, Cooke ME, Cárcamo J, Trabilsy M et al. • Genes, brain, and behavior
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1111/gbb.70068
PMC: PMC13736786
Navin Kumar Manaswi • Apress eBooks
(2018)
This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such ...
OPENALEX
DOI: https://doi.org/10.1007/978-1-4842-3516-4
Yijia WAN, Liping GU • Nongye tushu qingbao xuebao
(2024)
[Purpose/Significance] To explore in depth the acceptance and usage habits of AIGC tools by graduate students in the process of academic research, and to promote the positive attention and application of emerging technologies by graduate st...
DOAJ
Open Access (DOAJ)
DOI: 10.13998/j.cnki.issn1002-1248.24-0716
Sarkar Siddique, James C. L. Chow • Encyclopedia
(2021)
Machine learning (ML) is a study of computer algorithms for automation through experience. ML is a subset of artificial intelligence (AI) that develops computer systems, which are able to perform tasks generally having need of human intelli...
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DOI: https://doi.org/10.3390/encyclopedia1010021
Onishchenko D, Mastrianni JA, Chattopadhyay I • NPJ digital medicine
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1038/s41746-026-02954-2
PMC: PMC13737172
Niloofar Asefi, Leonard Lupin-Jimenez, Tianning Wu, Ruoying He et al. • Machine Learning. Earth
(2025)
Reconstructing ocean dynamics from observational data is fundamentally limited by the sparse, irregular, and Lagrangian nature of spatial sampling, particularly in subsurface and remote regions. This sparsity poses significant challenges fo...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/3049-4753/ae0b70
Ziru Fu, Yu Cheng Hsu, Christian S Chan, Chaak Ming Lau et al. • Journal of Medical Internet Research
(2024)
BackgroundSentiment analysis is a significant yet difficult task in natural language processing. The linguistic peculiarities of Cantonese, including its high similarity with Standard Chinese, its grammatical and lexical uniqueness, and its...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/51069
Ajay Dadhich, Jaideep Patel, Rovin Tiwari, Richa Verma et al. • Healthcare Analytics
(2024)
Mind-wandering (MW) is when an individual’s concentration drifts away from the task or activity. Researchers found a greater variability in electroencephalogram (EEG) signals due to MW. Collecting more nuanced information from raw EEG data ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.health.2023.100286
Yong Wang, Hongwen He, Yuankai Wu, Pei Wang et al. • Engineering
(2025)
An effective energy management strategy (EMS) is essential to optimize the energy efficiency of electric vehicles (EVs). With the advent of advanced machine learning techniques, the focus on developing sophisticated EMS for EVs is increasin...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.eng.2024.10.021
Cüneyt Dirican • Procedia - Social and Behavioral Sciences
(2015)
In the Industrial Age that humanity has entered long time ago with steam series has caused to primitive mechanization in production. With the development of internet and mobile technologies, electronics, nano technology, advances in medicin...
OPENALEX
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DOI: https://doi.org/10.1016/j.sbspro.2015.06.134
Di Martino M, Saibanti A, Cassese G, Alagia M et al. • Updates in surgery
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1007/s13304-026-02750-3
PMC: PMC13737091
Gaëlle Vanhoffelen, Laura Vandenbosch, Lara Schreurs • Behavioral Sciences
(2025)
Due to technological advancements such as generative artificial intelligence (AI) and large language models, chatbots enable increasingly human-like, real-time conversations through text (e.g., OpenAI’s ChatGPT) and voice (e.g., Amazon’s Al...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bs15081037
Nishith Reddy Mannuru, Sakib Shahriar, Zoë Abbie Teel, Ting Wang et al. • Information Development
(2023)
This paper explores the potential impact of Generative Artificial Intelligence (Generative AI) on developing countries, considering both positive and negative effects across various domains of information, culture, and industry. Generative ...
OPENALEX
DOI: https://doi.org/10.1177/02666669231200628
Mireilla Bikanga Ada • Education Sciences
(2024)
This study explores how computing science students (n = 335) use ChatGPT, their trust in its information, their navigation of plagiarism issues, and their confidence in addressing plagiarism and academic integrity. A mixed-methods approach ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/educsci14101106
Scott Monteith, Tasha Glenn, John Richard Geddes, Peter C. Whybrow et al. • The British Journal of Psychiatry
(2023)
With the recent advances in artificial intelligence (AI), patients are increasingly exposed to misleading medical information. Generative AI models, including large language models such as ChatGPT, create and modify text, images, audio and ...
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Open Access
DOI: https://doi.org/10.1192/bjp.2023.136
Srečo Zakrajšek • Izzivi Prihodnosti
(2025)
Research Questions (RQs): 1. What are the key challenges that media production students face in balancing study, work, and personal commitments? 2. What is the overall impact of the use of artificial intelligence (in all segments of activit...
DOAJ
Open Access (DOAJ)
DOI: 10.37886/ip.2025.005
• London Review of Education
(2025)
The rise of generative artificial intelligence tools such as ChatGPT is transforming how knowledge is produced, accessed and used across educational systems. While these technologies offer new opportunities for efficiency and scalability, t...
DOAJ
Open Access (DOAJ)
DOI: 10.14324/LRE.23.1.16
Baleegh Elsir Ahmed Mohammed, Tanzeel Elsir Ahmed Mohammed, Anthony Paul Breitbach • Sudan Journal of Medical Sciences
(2026)
Background: Constructing high-quality multiple-choice questions (MCQs) is critical yet resource-intensive in medical education. Large language models (LLMs), such as ChatGPT, have become promising tools for generating MCQs in medical educat...
DOAJ
Open Access (DOAJ)
DOI: 10.18502/sjms.v21i2.19868
Lijia Chen, Pingping Chen, Zhijian Lin • IEEE Access
(2020)
The purpose of this study was to assess the impact of Artificial Intelligence (AI) on education. Premised on a narrative and framework for assessing AI identified from a preliminary analysis, the scope of the study was limited to the applic...
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DOI: https://doi.org/10.1109/access.2020.2988510