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Artificial Intelligence in Advertising

Jan Kietzmann, Jeannette Paschen, Emily Treen • Journal of Advertising Research (2018)

The task of understanding the consumer journey increasingly is complex. Consumers express their needs and wants, attitudes, and values in various forms (through search, comments, blogs, Tweets, “likes,” videos, and conversations) and across...

OPENALEX DOI: https://doi.org/10.2501/jar-2018-035

Fuzzy harmonic mean technique for solving fully fuzzy multilevel multiobjective linear programming problems

E. Fathy, A.E. Hassanien • Alexandria Engineering Journal (2022)

This paper illustrates how the fuzzy harmonic mean technique can efficiently solve fully fuzzy multilevel multiobjective linear programming (FFMMLP) problems. First, at each level, the FFMMLP problem can be converted into three crisp multio...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.aej.2022.01.021

Evaluating Artificial Intelligence’s Role in Developing Research Questions in Head and Neck Reconstruction

Sebastian Holm, MD, Mario Zambrana, MD, Juan E. Berner, MD, PhD, Reza Tabrisi, MD et al. • Plastic and Reconstructive Surgery, Global Open (2025)

Summary:. Generative artificial intelligence (AI) large language models are an emerging technology, with ChatGPT and Gemini being 2 well-known examples. The current literature discusses clinical applications and limitations of AI, but its r...

DOAJ Open Access (DOAJ) DOI: 10.1097/GOX.0000000000007057

Accuracy and reliability of Manus, ChatGPT, and Claude in case-based dental diagnosis

Ahmed A. Madfa, Abdullah F. Alshammari, Bassam A. Anazi, Yousef E. Alenezi et al. • Frontiers in Oral Health (2026)

IntroductionArtificial intelligence (AI), particularly large language models (LLMs), is transforming healthcare education and clinical decision-making. While models like ChatGPT and Claude have demonstrated utility in medical contexts, thei...

DOAJ Open Access (DOAJ) DOI: 10.3389/froh.2025.1686090

Comparative architectural evaluation of CNN models with alternative classifiers for UAV-based detection of damaged green zones

Nodir Rakhimov, Jura Kuvandikov, Ma'ruf Tojiyev, Dilmurod Khasanov et al. • Frontiers in Artificial Intelligence (2026)

Unmanned aerial vehicle imagery provides a practical and high-resolution data source for monitoring the spatial condition of urban and peri-urban green zones. However, the reliable detection of damaged, stressed, or declining vegetation are...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1910842

Artificial Intelligence for Lentigo Maligna: Automated Margin Assessment via Sox-10-Based Melanocyte Density Mapping

Rieke Löper, Lennart Abels, Daniel Otero Baguer, Felix Bremmer et al. • Dermatopathology (2025)

Lentigo maligna (LM) is a melanoma in situ with high cumulative sun damage. Histological evaluation of resection margins is difficult and time-consuming. Melanocyte density (MD) is a suitable, quantifiable, and reproducible diagnostic crite...

DOAJ Open Access (DOAJ) DOI: 10.3390/dermatopathology13010001

Artificial Intelligence and Robotics

Javier A. Perez, Fani Deligianni, Daniele Ravì, Guang‐Zhong Yang • UK-RAS white papers (2017)

Title: Artificial Intelligence and Robotics Year: 2017 Citation: (2017). Artificial Intelligence and Robotics. EPSRC UK-RAS Network. doi: 10.31256/WP2017.1. ISSN: 2398-4422 (Online), ISSN 2398-4414 (Print) Download PDF...

OPENALEX Open Access DOI: https://doi.org/10.31256/wp2017.1

On the practical aspects of machine learning based active power loss forecasting in transmission networks

Franko Pandžić, Ivan Sudić, Tomislav Capuder, Ivan Pavičić • IET Generation, Transmission & Distribution (2024)

Abstract The cost for covering active power losses makes a significant item in transmission system operators (TSO) annual budgets, and still it received limited attention in the existing literature. The focus of accurate power loss forecast...

DOAJ Open Access (DOAJ) DOI: 10.1049/gtd2.13205

Artificial intelligence in nanotechnology

G. M. Sacha, Pablo Varona • Nanotechnology (2013)

During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. In this paper we review some of these efforts in the context of interpreting scanning probe microscopy, the study of biologica...

OPENALEX Open Access DOI: https://doi.org/10.1088/0957-4484/24/45/452002

Leveraging Generative AI Tools for Enhanced Lesson Planning in Initial Teacher Education at Post Primary

Frank Kehoe • Irish Journal of Technology Enhanced Learning (2023)

The rapid development of generative AI (artificial intelligence) tools such as ChatGPT and Google Bard has opened new possibilities for enhancing lesson planning in initial teacher education (ITE). These tools have the capability to generat...

DOAJ Open Access (DOAJ) DOI: 10.22554/ijtel.v7i2.124

A Review of Fundamental Optimization Approaches and the Role of AI Enabling Technologies in Physical Layer Security

Mulugeta Kassaw Tefera, Zengwang Jin, Shengbing Zhang • Sensors (2022)

With the proliferation of 5G mobile networks within next-generation wireless communication, the design and optimization of 5G networks are progressing in the direction of improving the physical layer security (PLS) paradigm. This phenomenon...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22093589