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Smart IoT device for in field Black Sigatoka Disease recognition and mapping

Simone Figorilli, Lavinia Moscovini, Simone Vasta, Francesco Tocci et al. • Smart Agricultural Technology (2025)

Recently banana plantations have been affected by the Black Sigatoka Disease (BSD), producing streaks, lesions and yellow and brown spots on the leaves until the appearance of entire dead parts. The disease causes reductions in yield making...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.atech.2024.100762

Assessing and Optimizing Socio-Moral Reasoning Skills: Findings From the MorALERT Serious Video Game

Hamza Zarglayoun, Hamza Zarglayoun, Juliette Laurendeau-Martin, Ange Tato et al. • Frontiers in Psychology (2022)

BackgroundSocial cognition and competence are a key part of daily interactions and essential for satisfying relationships and well-being. Pediatric neurological and psychological conditions can affect social cognition and require assessment...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyg.2021.767596

DCN-Deeplabv3+: A Novel Road Segmentation Algorithm Based on Improved Deeplabv3+

Hongming Peng, Siyu Xiang, Mingju Chen, Hongyang Li et al. • IEEE Access (2024)

Road segmentation is an important task in the field of semantic segmentation, and the Deeplabv3+ algorithm, which is commonly used for road segmentation, has shortcomings, such as numerous parameters and a tendency to lose detailed informat...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3416468

A machine learning approach predicts future risk to suicidal ideation from social media data

Arunima Roy, Katerina Nikolitch, Rachel McGinn, Safiya Jinah et al. • npj Digital Medicine (2020)

Abstract Machine learning analysis of social media data represents a promising way to capture longitudinal environmental influences contributing to individual risk for suicidal thoughts and behaviors. Our objective was to generate an algori...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-020-0287-6

Towards Transparency by Design for Artificial Intelligence

Heike Felzmann, Eduard Fosch‐Villaronga, Christoph Lutz, Aurelia Tamò‐Larrieux • Science and Engineering Ethics (2020)

In this article, we develop the concept of Transparency by Design that serves as practical guidance in helping promote the beneficial functions of transparency while mitigating its challenges in automated-decision making (ADM) environments....

OPENALEX cc-by DOI: https://doi.org/10.1007/s11948-020-00276-4 PMC: 7755865

Creativity and Artificial Intelligence

Francisco C. Pereira (2007)

Creativity and Artificial Intelligence: A Conceptual Blending Approach takes readers into a computationally plausible model of creativity. Inspired by a thorough analysis of work on creativity from the areas of philosophy, psychology, cogni...

OPENALEX DOI: https://doi.org/10.1515/9783110198560

On Artificial Intelligence

Lewis Thomas • New England Journal of Medicine (1980)

The most profoundly depressing of all ideas about the future of the human species is the concept of artificial intelligence. The ambition that human beings will ultimately cap their success as evolutionary overachievers by manufacturing com...

OPENALEX DOI: https://doi.org/10.1056/nejm198002283020906

<bold>CroSSHeteroFL</bold>: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients

Vo Phuc Tinh, Hoang Hai Son, Nguyen Hoang Nam, Duc Ngoc Minh Dang et al. • IEEE Access (2024)

In the large-scale deployment of federated learning (FL) systems, the heterogeneity of clients, such as mobile phones and Internet of Things (IoT) devices with different configurations, constitutes a significant problem regarding fairness, ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3475737

Trustworthy artificial intelligence

Scott Thiebes, Sebastian Lins, Ali Sunyaev • Electronic Markets (2020)

Abstract Artificial intelligence (AI) brings forth many opportunities to contribute to the wellbeing of individuals and the advancement of economies and societies, but also a variety of novel ethical, legal, social, and technological challe...

OPENALEX cc-by DOI: https://doi.org/10.1007/s12525-020-00441-4

Sex-based differences in characteristics, management, and outcomes in heart failure with reduced ejection fraction

Christian Basile, Stefan D. Anker, Gianluigi Savarese • Global Cardiology (2025)

Heart failure with reduced ejection fraction (HFrEF) exhibits significant sex-based differences in clinical presentation, management, and outcomes. This study aimed to evaluate these differences using data from the Swedish Heart Failure Reg...

DOAJ Open Access (DOAJ) DOI: 10.4081/cardio.2025.73

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

Legal Personhood for Artificial Intelligences

Lawrence B. Solum • Routledge eBooks (2020)

Could an artificial intelligence (AI) become a legal person? As of today, this question is only theoretical. First, putting the AI debate in a concrete legal context acts as a pragmatic Occam’s razor. Second, and more controversially, the p...

OPENALEX Open Access DOI: https://doi.org/10.4324/9781003074991-37

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

Emergentist View on Generative Narrative Cognition: Considering Principles of the Self-Organization of Mental Stories

Taisuke Akimoto • Advances in Human-Computer Interaction (2018)

We consider the essence of human intelligence to be the ability to mentally (internally) construct a world in the form of stories through interactions with external environments. Understanding the principles of this mechanism is vital for r...

DOAJ Open Access (DOAJ) DOI: 10.1155/2018/6780564