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Academic Articles & Research Papers
Showing 20 of 57 academic articles
Sayeed Salih, Omayma Husain, Refan Mohamed Almohamedh, Hayfaa tajelsier et al. • Array
(2026)
Generative Artificial Intelligence (GAI) is revolutionizing digital marketing by auto-content creation, personalized customer experience, and data-driven decisions. This study conducts a systematic literature review and case study analysis ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.array.2025.100630
Fei X, Zhang J, Li Q, Yang J • Frontiers in medicine
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.3389/fmed.2026.1974214
PMC: PMC13731278
Alsoghier AM • Healthcare (Basel, Switzerland)
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.3390/healthcare14172681
PMC: PMC13565665
Danilo Petrassi • Kaiak
(2025)
The rapid evolution of conversational artificial intelligence (AI) has sparked an ongoing debate regarding its ability to replicate, or even experience, human emotions. While early conversational chatbots such as Joseph Weizenbaum’s ELIZA (...
DOAJ
Open Access (DOAJ)
Yair Neuman, Yochai Cohen • Scientific Reports
(2023)
Abstract Identifying social norms and their violation is a challenge facing several projects in computational science. This paper presents a novel approach to identifying social norm violations. We used GPT-3, zero-shot classification, and ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-023-35350-x
• Babylonia
(2005)
[Summary generated by ChatGPT]
Overview:
Babylonia 4/2005 is a miscellanea issue offering a wide range of reflections, research, and classroom practices rather than focusing on a single theme. Key concerns include language policy in Swis...
DOAJ
Open Access (DOAJ)
Jueqiao Liu, Jueqiao Liu, Xiaoyi Chen, Jun Cai et al. • Frontiers in Psychiatry
(2026)
BackgroundLarge language models are increasingly used for informal mental health support, yet their safety during escalating suicide-risk conversations may depend on how prior information is presented. Native multi-turn conversations and re...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpsyt.2026.1962098
Joost C. F. de Winter, Dimitra Dodou, Yke Bauke Eisma • Computers
(2024)
The processes underlying human cognition are often divided into System 1, which involves fast, intuitive thinking, and System 2, which involves slow, deliberate reasoning. Previously, large language models were criticized for lacking the de...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computers13110278
Simon Frieder, Luca Pinchetti, Chevalier Chevalier, Ryan-Rhys Griffiths et al. • neural information processing systems
(2023)
We investigate the mathematical capabilities of two iterations of ChatGPT (released 9-January-2023 and 30-January-2023) and of GPT-4 by testing them on publicly available datasets, as well as hand-crafted ones, using a novel methodology. In...
OPENALEX
Open Access
DOI: https://doi.org/10.52202/075280-1205
Long-Xian Liu, Huan-Huan Wang, Shuang Lu, Guo Yu et al. • Digital Health
(2026)
Objective To compare the safety, accuracy, reliability, readability, and empathy of patient education content generated by five large language models (LLMs) for post-stroke complications. Methods This CHART-guided cross-sectional comparativ...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/20552076261493266
Nimra Mughal, Ghulam Mujtaba, Sarang Shaikh, Aveenash Kumar et al. • IEEE Access
(2024)
Sentiment analysis is essential for comprehending public opinion, particularly when considering e-commerce and the expansion of online businesses. Early approaches treated sentiment analysis as a document or sentence-level classification pr...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3386969
Som Subhro Biswas • SSRN Electronic Journal
(2023)
OPENALEX
Open Access
DOI: https://doi.org/10.2139/ssrn.4403584
Pan Singh Dhoni, Ravinder Kumar (2023)
The digital landscape of the modern world has witnessed a remarkable evolution over the past few decades, with technological advancements permeating every facet of our lives. While these innovations have brought forth unprecedented convenie...
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DOI: https://doi.org/10.36227/techrxiv.23968809.v1
Yagmur Yigit, William Johnston Buchanan, Madjid Tehrani, Leandros A. Maglaras • Internet of Things and Cyber-Physical Systems
(2025)
Over the last decade, Artificial Intelligence (AI) has become increasingly popular, especially with the use of chatbots such as ChatGPT, Google’s Gemini, and DALL-E. With this rise, large language models (LLMs) and Generative AI (GenAI) hav...
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DOI: https://doi.org/10.1016/j.iotcps.2026.04.001
Mohamed Amine Ferrag, Fatima Alwahedi, Ammar Ayman Battah, Bilel Cherif et al. • Internet of Things and Cyber-Physical Systems
(2025)
This paper provides a comprehensive review of the future of cybersecurity through Generative AI and Large Language Models (LLMs). We explore LLM applications across various domains, including hardware design security, intrusion detection, s...
OPENALEX
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DOI: https://doi.org/10.1016/j.iotcps.2025.01.001
Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, Eli Parker et al. • IEEE Access
(2023)
Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. As the different GenAI models like ChatGPT and Google Bard continue to foster their complexity and capability, it’...
OPENALEX
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DOI: https://doi.org/10.1109/access.2023.3300381
Edo Roos Lindgreen • MAB
(2025)
Het is niet nodig om in dit voorwoord te vermelden dat de wereld sterk in beweging is. Als MAB-lezer heeft u genoeg informatiebronnen tot uw beschikking, en uiteraard uw eigen observaties, die de enorme veranderlijkheid en soms schokkende a...
DOAJ
Open Access (DOAJ)
DOI: 10.5117/mab.99.168389
Som Subhro Biswas • Annals of Biomedical Engineering
(2023)
OPENALEX
DOI: https://doi.org/10.1007/s10439-023-03172-7
Li D, Li X, Luo X, Wang J et al. • Advanced science (Weinheim, Baden-Wurttemberg, Germany)
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1002/advs.78595
PMC: PMC13735440
Georgiana Țucudean, Marian Bucos, Bogdan Drăgulescu, Cătălin Daniel Căleanu • PeerJ Computer Science
(2024)
Natural language processing (NLP) tasks can be addressed with several deep learning architectures, and many different approaches have proven to be efficient. This study aims to briefly summarize the use cases for NLP tasks along with the ma...
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DOI: https://doi.org/10.7717/peerj-cs.2222
PMC: 11322986