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Gender bias in artificial intelligence

Susan Leavy (2018)

Artificial intelligence is increasingly influencing the opinions and behavior of people in everyday life. However, the over-representation of men in the design of these technologies could quietly undo decades of advances in gender equality....

OPENALEX DOI: https://doi.org/10.1145/3195570.3195580

Primer on artificial intelligence and robotics

Manav Raj, Robert Seamans • Journal of Organization Design (2019)

This article provides an introduction to artificial intelligence, robotics, and research streams that examine the economic and organizational consequences of these and related technologies. We describe the nascent research on artificial int...

OPENALEX cc-by DOI: https://doi.org/10.1186/s41469-019-0050-0

Artificial intelligence in education

W. Holmes, Maya Bialik, Charles Fadel (2023)

The article is an excerpt from Wayne Holmes/ Maya Bialik/ Charles Fadel, Artificial Intelligence in Education : Promises and Implications for Teaching and Learning, The Center for Curriculum Redesign, Boston, 2019, 151-180 (ISBN-13: 978-1-7...

OPENALEX Open Access DOI: https://doi.org/10.58863/20.500.12424/4276068

Optimizing Energy Consumption of Edge-Cloud Environments: A comparative Study Between PPO and PSO

Alejandro Espinosa, Xavier Samos, Daniel Ulied, Jordi Marias et al. • International Journal of Computational Intelligence Systems (2025)

Abstract As the usage of the edge-cloud continuum increases, Kubernetes presents itself as a solution that allows easy control and deployment of applications in these highly-distributed and heterogeneous environments. In this context, Artif...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44196-025-01073-2

Design of High-Dimensional Maps with Sine Terms

Othman Abdullah Almatroud, Viet-Thanh Pham, Giuseppe Grassi, Mohammad Alshammari et al. • Mathematics (2023)

The use of the advancements in memristor technology to construct chaotic maps has garnered significant research attention in recent years. The combination of memristors and nonlinear terms provides an effective approach to proposing novel m...

DOAJ Open Access (DOAJ) DOI: 10.3390/math11173725

Scammer Participants and AI-Assisted Interviews in Qualitative Health Research: An Example From a Study of Expectant Parents With a Rare Genetic Condition

Gamze Kaplan, Shruti Garg, Ming Wai Wan, Debbie M. Smith • International Journal of Qualitative Methods (2025)

Online interviewing has allowed cost-effective data collection and access to diverse, geographically dispersed populations. However, these benefits come with significant risks to research integrity, particularly in terms of attracting poten...

DOAJ Open Access (DOAJ) DOI: 10.1177/16094069251390983

Biomaterial Engineering for Spatiotemporal Regulation of Exosome Functions: From Design Principles to Key Applications in Regenerative Medicine

Shan Long, Bo Wang, Shaodong Tian, Honglan Tang et al. • Pharmaceuticals (2026)

As natural nanoscale intercellular messengers, exosomes exhibit considerable potential in modulating inflammation, angiogenesis, immunoregulation, and tissue remodeling, making them attractive candidates for regenerative medicine. However, ...

DOAJ Open Access (DOAJ) DOI: 10.3390/ph19050672

Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks

Urslla Uchechi Izuazu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee • Discover Internet of Things (2025)

Abstract Deep learning-based intrusion detection systems (DL-IDS) have proven effective in detecting cyber threats. However, their vulnerability to adversarial attacks and environmental noise, particularly in industrial settings, limits pra...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43926-025-00100-0

The Political Economy of Sanctions on Iran: Mechanism Design and Agent-Based Modeling Approach

Kobra Sangari Mohazzab, Hosein Raghfar, Mir-Hossein Mousavi, Mohammad Reza Asghari Oskoei • فصلنامه پژوهش‌های اقتصادی ایران (2020)

I International relations are full of complexities due to their multifaceted and multilateral nature. To understand decision making processes and the payoffs of their strategies, players are enabled to utilize their capabilities to impact t...

DOAJ Open Access (DOAJ) DOI: 10.22054/ijer.2020.11909

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

The ethics of artificial intelligence

Nick Bostrom, Eliezer Yudkowsky • Cambridge University Press eBooks (2014)

This chapter surveys some of the ethical challenges that may arise as one can create artificial intelligences (AI) of various kinds and degrees. Some challenges of machine ethics are much like many other challenges involved in designing mac...

OPENALEX DOI: https://doi.org/10.1017/cbo9781139046855.020

Patient information needs for transparent and trustworthy cardiovascular artificial intelligence: A qualitative study.

Austin M Stroud, Sarah A Minteer, Xuan Zhu, Jennifer L Ridgeway et al. • PLOS Digital Health (2025)

As health systems incorporate artificial intelligence (AI) into various aspects of patient care, there is growing interest in understanding how to ensure transparent and trustworthy implementation. However, little attention has been given t...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pdig.0000826

An Ensemble Machine Learning Model for Early Prediction of Vancomycin-Induced Acute Kidney Injury in ICU Patients

Faezeh Aghamirzaei, Ahmad Ali Abin, Farzaneh Futuhi • Archives of Academic Emergency Medicine (2025)

Introduction: Acute Kidney Injury (AKI) is a severe complication of vancomycin treatment due to its nephrotoxic effects. However, research on predicting AKI in this high-risk group remains limited. This study presents a stacking ensemble ma...

DOAJ Open Access (DOAJ) DOI: 10.22037/aaemj.v13i1.2560

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