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  • Systematic Review
  • Open Access
208 Citations
108,179 Views
29 Pages

Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective

  • Mousa Al-kfairy,
  • Dheya Mustafa,
  • Nir Kshetri,
  • Mazen Insiew and
  • Omar Alfandi

This paper conducts a systematic review and interdisciplinary analysis of the ethical challenges of generative AI technologies (N = 37), highlighting significant concerns such as privacy, data protection, copyright infringement, misinformation, biase...

  • Review
  • Open Access
224 Citations
45,883 Views
23 Pages

The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the remarkable ability to provide proficient responses to free-text queries, demonstrating a nuanced unders...

  • Review
  • Open Access
72 Citations
34,784 Views
22 Pages

Edge Computing and Cloud Computing for Internet of Things: A Review

  • Francesco Cosimo Andriulo,
  • Marco Fiore,
  • Marina Mongiello,
  • Emanuele Traversa and
  • Vera Zizzo

30 September 2024

The rapid expansion of the Internet of Things ecosystem has created an urgent need for efficient data processing and analysis technologies. This review aims to systematically examine and compare edge computing, cloud computing, and hybrid architectur...

  • Article
  • Open Access
58 Citations
29,273 Views
22 Pages

Reinforcement Learning in Education: A Literature Review

  • Bisni Fahad Mon,
  • Asma Wasfi,
  • Mohammad Hayajneh,
  • Ahmad Slim and
  • Najah Abu Ali

18 September 2023

The utilization of reinforcement learning (RL) within the field of education holds the potential to bring about a significant shift in the way students approach and engage with learning and how teachers evaluate student progress. The use of RL in edu...

  • Review
  • Open Access
57 Citations
25,627 Views
27 Pages

Artificial Intelligence and Machine Learning Technologies for Personalized Nutrition: A Review

  • Dimitris Tsolakidis,
  • Lazaros P. Gymnopoulos and
  • Kosmas Dimitropoulos

Modern lifestyle trends, such as sedentary behaviour and unhealthy diets, have been associated with obesity, a major health challenge increasing the risk of multiple pathologies. This has prompted many to reassess their routines and seek expert guida...

  • Systematic Review
  • Open Access
54 Citations
22,490 Views
24 Pages

In recent years, the Internet of medical things (IoMT) has become a significant technological advancement in the healthcare sector. This systematic review aims to identify and summarize the various applications, key challenges, and proposed technical...

  • Article
  • Open Access
12 Citations
21,639 Views
38 Pages

Advancing Cybersecurity with Honeypots and Deception Strategies

  • Zlatan Morić,
  • Vedran Dakić and
  • Damir Regvart

Cybersecurity threats are becoming more intricate, requiring preemptive actions to safeguard digital assets. This paper examines the function of honeypots as critical instruments for threat detection, analysis, and mitigation. A novel methodology for...

  • Article
  • Open Access
18 Citations
20,995 Views
30 Pages

Artificial intelligence (AI) is fundamentally transforming the marketing landscape, enabling significant progress in customer engagement, personalization, and operational efficiency. The retail sector has been at the forefront of the AI revolution, a...

  • Review
  • Open Access
56 Citations
20,528 Views
16 Pages

AR/VR Teaching-Learning Experiences in Higher Education Institutions (HEI): A Systematic Literature Review

  • Belen Bermejo,
  • Carlos Juiz,
  • David Cortes,
  • Jeroen Oskam,
  • Teemu Moilanen,
  • Jouko Loijas,
  • Praneschen Govender,
  • Jennifer Hussey,
  • Alexander Lennart Schmidt and
  • Davin Dunlea
  • + 3 authors

During the last few years, learning techniques have changed, both in basic education and in higher education. This change has been accompanied by new technologies such as Augmented Reality (AR) and Virtual Reality (AR). The combination of these techn...

  • Article
  • Open Access
10 Citations
19,400 Views
14 Pages

Digital innovations have significantly transformed the marketing landscape, with visual technology solutions having become mainstream in the fashion industry approximately a decade ago. Digital technology offers a range of benefits to online fashion...

  • Systematic Review
  • Open Access
10 Citations
18,913 Views
23 Pages

Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review

  • Mohammad Beheshti,
  • Imad Eddine Toubal,
  • Khuder Alaboud,
  • Mohammed Almalaysha,
  • Olabode B. Ogundele,
  • Hamza Turabieh,
  • Nader Abdalnabi,
  • Suzanne A. Boren,
  • Grant J. Scott and
  • Butros M. Dahu

The rapid advancement of large language models like ChatGPT has significantly impacted natural language processing, expanding its applications across various fields, including healthcare. However, there remains a significant gap in understanding the...

  • Article
  • Open Access
29 Citations
17,456 Views
14 Pages

Analysing the Impact of Generative AI in Arts Education: A Cross-Disciplinary Perspective of Educators and Students in Higher Education

  • Sara Sáez-Velasco,
  • Mario Alaguero-Rodríguez,
  • Vanesa Delgado-Benito and
  • Sonia Rodríguez-Cano

Generative AI refers specifically to a class of Artificial Intelligence models that use existing data to create new content that reflects the underlying patterns of real-world data. This contribution presents a study that aims to show what the curren...

  • Review
  • Open Access
17 Citations
15,271 Views
24 Pages

The twenty-first century has witnessed an extensive evolution in translation practice thanks to the accelerated progress in machine translation tools and software. With the increased scalability and availability of machine translation software empowe...

  • Review
  • Open Access
14 Citations
14,856 Views
29 Pages

Cloud-Based Platforms for Health Monitoring: A Review

  • Isaac Machorro-Cano,
  • José Oscar Olmedo-Aguirre,
  • Giner Alor-Hernández,
  • Lisbeth Rodríguez-Mazahua,
  • Laura Nely Sánchez-Morales and
  • Nancy Pérez-Castro

Cloud-based platforms have gained popularity over the years because they can be used for multiple purposes, from synchronizing contact information to storing and managing user fitness data. These platforms are still in constant development and, so fa...

  • Article
  • Open Access
13 Citations
13,975 Views
14 Pages

Web Traffic Anomaly Detection Using Isolation Forest

  • Wilson Chua,
  • Arsenn Lorette Diamond Pajas,
  • Crizelle Shane Castro,
  • Sean Patrick Panganiban,
  • April Joy Pasuquin,
  • Merwin Jan Purganan,
  • Rica Malupeng,
  • Divine Jessa Pingad,
  • John Paul Orolfo and
  • Lemuel Clark Velasco
  • + 1 author

As companies increasingly undergo digital transformation, the value of their data assets also rises, making them even more attractive targets for hackers. The large volume of weblogs warrants the use of advanced classification methodologies in order...

  • Review
  • Open Access
23 Citations
13,961 Views
28 Pages

Navigating Governmental Choices: A Comprehensive Review of Artificial Intelligence’s Impact on Decision-Making

  • Gustavo Caiza,
  • Verónica Sanguña,
  • Natalia Tusa,
  • Violeta Masaquiza,
  • Alexandra Ortiz and
  • Marcelo V. Garcia

The integration of artificial intelligence (AI) into government decision-making is rapidly gaining traction in public administration and politics. This scoping review, guided by PRISMA protocols, examines 50 articles from reputable sources like Scopu...

  • Article
  • Open Access
40 Citations
13,819 Views
16 Pages

Qualitative Research Methods for Large Language Models: Conducting Semi-Structured Interviews with ChatGPT and BARD on Computer Science Education

  • Andreas Dengel,
  • Rupert Gehrlein,
  • David Fernes,
  • Sebastian Görlich,
  • Jonas Maurer,
  • Hai Hoang Pham,
  • Gabriel Großmann and
  • Niklas Dietrich genannt Eisermann

In the current era of artificial intelligence, large language models such as ChatGPT and BARD are being increasingly used for various applications, such as language translation, text generation, and human-like conversation. The fact that these models...

  • Article
  • Open Access
3 Citations
10,834 Views
16 Pages

Health Benefits and Adverse Effects of Kratom: A Social Media Text-Mining Approach

  • Abdullah Wahbeh,
  • Mohammad Al-Ramahi,
  • Omar El-Gayar,
  • Tareq Nasralah and
  • Ahmed Elnoshokaty

Background: Kratom is a substance that alters one’s mental state and is used for pain relief, mood enhancement, and opioid withdrawal, despite potential health risks. In this study, we aim to analyze the social media discourse about kratom to p...

  • Article
  • Open Access
39 Citations
10,820 Views
14 Pages

ChatGPT is widely used among students, a situation that challenges educators. The current paper presents two strategies that do not push educators into a defensive role but can empower them. Firstly, we show, based on statistical analysis, that ChatG...

  • Systematic Review
  • Open Access
2 Citations
10,790 Views
40 Pages

Decoding Trust in Artificial Intelligence: A Systematic Review of Quantitative Measures and Related Variables

  • Letizia Aquilino,
  • Cinzia Di Dio,
  • Federico Manzi,
  • Davide Massaro,
  • Piercosma Bisconti and
  • Antonella Marchetti

As artificial intelligence (AI) becomes ubiquitous across various fields, understanding people’s acceptance and trust in AI systems becomes essential. This review aims to identify quantitative measures used to measure trust in AI and the associ...

  • Article
  • Open Access
28 Citations
10,763 Views
38 Pages

In the competitive landscape of steel-strip production, ensuring the high quality of steel surfaces is paramount. Traditionally, human visual inspection has been the primary method for detecting defects, but it suffers from limitations such as reliab...

  • Article
  • Open Access
7 Citations
10,459 Views
22 Pages

Recent technology implementation in learning has inspired language educators to employ various e-learning techniques, strategies, and applications in their pedagogical practices while aiming at improving specific learning efficiencies of students. Th...

  • Article
  • Open Access
7 Citations
10,451 Views
22 Pages

A significant portion of the academic community, including students, teachers, and researchers, has incorporated generative artificial intelligence (GenAI) tools into their everyday tasks. Alongside increased productivity and numerous benefits, speci...

  • Review
  • Open Access
9 Citations
10,303 Views
53 Pages

This systematic review investigates the transformative impact of Healthcare 4.0 (HC4.0) technologies on healthcare service quality (HCSQ), focusing on their potential to enhance healthcare delivery while addressing critical challenges. This study rev...

  • Review
  • Open Access
4 Citations
10,225 Views
30 Pages

Cross-platform mobile application development has gained significant traction in recent years, driven by the growing demand for efficient, cost-effective solutions that cater to both iOS and Android platforms. This paper presents a state-of-the-art r...

  • Article
  • Open Access
18 Citations
10,185 Views
24 Pages

Explainable Artificial Intelligence (XAI) has successfully solved the black box paradox of Artificial Intelligence (AI). By providing human-level insights on AI, it allowed users to understand its inner workings even with limited knowledge of the mac...

  • Article
  • Open Access
12 Citations
9,568 Views
17 Pages

Internet Use for Health-Related Purposes among Older People in Thailand: An Analysis of Nationwide Cross-Sectional Data

  • Kittisak Robru,
  • Prasongchai Setthasuravich,
  • Aphisit Pukdeewut and
  • Suthiwat Wetchakama

As the global population ages, understanding the digital health behaviors of older adults becomes increasingly crucial. In Thailand, where the elderly population is rapidly growing, examining how older individuals use the internet for health-related...

  • Article
  • Open Access
10 Citations
9,000 Views
16 Pages

Anemia Classification System Using Machine Learning

  • Jorge Gómez Gómez,
  • Camilo Parra Urueta,
  • Daniel Salas Álvarez,
  • Velssy Hernández Riaño and
  • Gustavo Ramirez-Gonzalez

In this study, a system was developed to predict anemia using blood count data and supervised learning algorithms. Anemia, a common condition characterized by low levels of red blood cells or hemoglobin, affects oxygenation and often causes symptoms,...

  • Systematic Review
  • Open Access
3 Citations
8,933 Views
20 Pages

Knowledge Management for Improved Digital Transformation in Insurance Companies: Systematic Review and Perspectives

  • Younes Elgargouh,
  • Mohammed Reda Chbihi Louhdi,
  • El Moukhtar Zemmouri and
  • Hicham Behja

Knowledge Management (KM) plays a pivotal role in contemporary businesses, facilitating the identification, management, and utilization of existing knowledge for organizational benefit. This article underscores the indispensability of effective KM pr...

  • Systematic Review
  • Open Access
3 Citations
8,845 Views
42 Pages

16 September 2025

Governments increasingly integrate artificial intelligence (AI) into digital public services, and understanding how citizens perceive and respond to these technologies has become essential. This systematic review analyzes 30 empirical studies publish...

  • Review
  • Open Access
5 Citations
8,837 Views
24 Pages

A Comprehensive Analysis of the Worst Cybersecurity Vulnerabilities in Latin America

  • Omar Flor-Unda,
  • Freddy Simbaña,
  • Xavier Larriva-Novo,
  • Ángel Acuña,
  • Rolando Tipán and
  • Patricia Acosta-Vargas

Vulnerabilities in cyber defense in the countries of the Latin American region have favored the activities of cybercriminals from different parts of the world who have carried out a growing number of cyberattacks that affect public and private servic...

  • Article
  • Open Access
3 Citations
8,801 Views
30 Pages

One of the main obstacles in software development projects is requirement volatility (RV), which is defined as uncertainty or changes in software requirements during the development process. Therefore, this research tries to understand the underlying...

  • Article
  • Open Access
14 Citations
8,690 Views
26 Pages

A Comparative Analysis of Virtual Education Technology, E-Learning Systems Research Advances, and Digital Divide in the Global South

  • Ikpe Justice Akpan,
  • Onyebuchi Felix Offodile,
  • Aloysius Chris Akpanobong and
  • Yawo Mamoua Kobara

This pioneering study evaluates the digital divide and advances in virtual education (VE) and e-learning research in the Global South Countries (GSCs). Using metadata from bibliographic and World Bank data on research and development (R&D), we co...

  • Article
  • Open Access
8,676 Views
22 Pages

Are We Inclusive? Accessibility Challenges in Philippine E-Government Websites

  • Paul Bokingkito,
  • Jerame Beloy,
  • Jerina Jean Ecleo,
  • Apple Rose Alce,
  • Nenen Borinaga and
  • Adrian Galido

Web accessibility is essential for e-government in the Philippines to ensure that all citizens, including those with disabilities, can access important information and services. This study evaluates government web accessibility using the Web Content...

  • Article
  • Open Access
6 Citations
8,235 Views
18 Pages

Application of Augmented Reality Technology for Chest ECG Electrode Placement Practice

  • Charlee Kaewrat,
  • Dollaporn Anopas,
  • Si Thu Aung and
  • Yunyong Punsawad

This study presents an augmented reality application for training chest electrocardiography electrode placement. AR applications featuring augmented object displays and interactions have been developed to facilitate learning and training of electroca...

  • Article
  • Open Access
8 Citations
8,158 Views
24 Pages

A Machine Learning Python-Based Search Engine Optimization Audit Software

  • Konstantinos I. Roumeliotis and
  • Nikolaos D. Tselikas

In the present-day digital landscape, websites have increasingly relied on digital marketing practices, notably search engine optimization (SEO), as a vital component in promoting sustainable growth. The traffic a website receives directly determines...

  • Systematic Review
  • Open Access
4 Citations
8,104 Views
20 Pages

In-Bed Monitoring: A Systematic Review of the Evaluation of In-Bed Movements Through Bed Sensors

  • Honoria Ocagli,
  • Corrado Lanera,
  • Carlotta Borghini,
  • Noor Muhammad Khan,
  • Alessandra Casamento and
  • Dario Gregori

The growing popularity of smart beds and devices for remote healthcare monitoring is based on advances in artificial intelligence (AI) applications. This systematic review aims to evaluate and synthesize the growing literature on the use of machine l...

  • Article
  • Open Access
2 Citations
8,004 Views
24 Pages

The Influence of Light and Color in Digital Paintings of Environmental Issues on Emotions and Cognitions

  • Witthaya Hosap,
  • Chaowanan Khundam,
  • Patibut Preeyawongsakul,
  • Varunyu Vorachart and
  • Frédéric Noël

This study aimed to examine the use of light and color in digital paintings and their effect on audiences’ perceptions of environmental issues. Five digital paintings depicting environmental issues have been designed. Digital painting technique...

  • Article
  • Open Access
19 Citations
7,977 Views
13 Pages

With the increasing use of large-scale language model-based AI tools in modern learning environments, it is important to understand students’ motivations, experiences, and contextual influences. These tools offer new support dimensions for lear...

  • Article
  • Open Access
14 Citations
7,963 Views
19 Pages

As an innovative form in the digital age, VR art exhibitions have attracted increasing attention. This study aims to explore the key factors that influence visitors’ continuance intention to VR art exhibitions using the expectation confirmation...

  • Review
  • Open Access
15 Citations
7,910 Views
37 Pages

A low-resource environment has limitations in terms of resources, such as limited network availability and low-powered computing devices. In such environments, it is arguably more difficult to set up new software systems, maintain existing software,...

  • Article
  • Open Access
10 Citations
7,898 Views
21 Pages

Artificial Intelligence: A Blessing or a Threat for Language Service Providers in Portugal

  • Célia Tavares,
  • Luciana Oliveira,
  • Pedro Duarte and
  • Manuel Moreira da Silva

According to a recent study by OpenAI, Open Research, and the University of Pennsylvania, large language models (LLMs) based on artificial intelligence (AI), such as generative pretrained transformers (GPTs), may have potential implications for the j...

  • Article
  • Open Access
40 Citations
7,797 Views
21 Pages

Unveiling Insights: A Bibliometric Analysis of Artificial Intelligence in Teaching

  • Malinka Ivanova,
  • Gabriela Grosseck and
  • Carmen Holotescu

The penetration of intelligent applications in education is rapidly increasing, posing a number of questions of a different nature to the educational community. This paper is coming to analyze and outline the influence of artificial intelligence (AI)...

  • Article
  • Open Access
7 Citations
7,770 Views
33 Pages

Proposal of the Indonesian Framework for Telecommunications Infrastructure Based on Network and Socioeconomic Indicators

  • Anna Christina Situmorang,
  • Muhammad Suryanegara,
  • Dadang Gunawan and
  • Filbert H. Juwono

In Indonesia, there is still a disparity in telecommunications access, with most rural areas experiencing “no signal” or “blank spots.” In contrast, urban areas enjoy modern and societally-beneficial technologies. A comprehens...

  • Review
  • Open Access
8 Citations
7,757 Views
24 Pages

A Review on Trending Machine Learning Techniques for Type 2 Diabetes Mellitus Management

  • Panagiotis D. Petridis,
  • Aleksandra S. Kristo,
  • Angelos K. Sikalidis and
  • Ilias K. Kitsas

27 September 2024

Type 2 diabetes mellitus (T2DM) is a chronic disease characterized by elevated blood glucose levels and insulin resistance, leading to multiple organ damage with implications for quality of life and lifespan. In recent years, the rising prevalence of...

  • Article
  • Open Access
12 Citations
7,740 Views
30 Pages

AI-Powered Lung Cancer Detection: Assessing VGG16 and CNN Architectures for CT Scan Image Classification

  • Rapeepat Klangbunrueang,
  • Pongsathon Pookduang,
  • Wirapong Chansanam and
  • Tassanee Lunrasri

Lung cancer is a leading cause of mortality worldwide, and early detection is crucial in improving treatment outcomes and reducing death rates. However, diagnosing medical images, such as Computed Tomography scans (CT scans), is complex and requires...

  • Article
  • Open Access
5 Citations
7,734 Views
37 Pages

13 September 2024

Precision medicine has emerged as a transformative approach aimed at tailoring treatment to individual patients, moving away from the traditional one-size-fits-all model. However, Clinical decision support systems encounter challenges, particularly i...

  • Article
  • Open Access
1 Citations
7,689 Views
18 Pages

Digital Media Victimization Among Older Adults in Upper-Southern Thailand

  • Pimpisa Pituk,
  • Nirachon Chutipattana,
  • Pussadee Laor,
  • Thitipong Sukdee,
  • Jiraprapa Kittikun,
  • Witchayaporn Jitwiratnukool,
  • Rohmatul Fajriyah and
  • Wanvisa Saisanan Na Ayudhaya

Online fraud threatens the well-being of older adults, with disparities in digital literacy and socioeconomic conditions amplifying their vulnerability. This study examined digital literacy and fraud victimization behavior among older adults in urban...

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Informatics - ISSN 2227-9709