This study empirically investigates actual customer repurchase behavior by analyzing behavioral log and payment data collected from study cafe users in an attendance-based learning service environment. Unlike prior studies that primarily relied on survey-based measures, this study integrates attendance records, payment...
Joo-Hyun Park, Seung-Chan Lee, Hoon Ko· Engineering and Technology J...· 0 citations
Abstract Current research on explainable and white-box artificial intelligence faces prominent issues: conceptual disarray, divergent perspectives, and a disconnect between theory and practice. The foremost priority is therefore to return to the field’s purest objectives and explore its most fundamental questions. To t...
Wen‐Xuan Wang, Yu-Die Zhang, Xin-Ting Li et al.· Zenodo (CERN European Organi...· 0 citations
Explainable Artificial Intelligence (XAI) has been increasingly applied in image aesthetic quality evaluation. However, it remains unclear how perceived explainability influences users’ decision adoption and what specific explanation requirements shape this perception. This study develops and tests a multi-stage model...
Explainable Artificial Intelligence (XAI) has been increasingly applied in image aesthetic quality evaluation. However, it remains unclear how perceived explainability influences users’ decision adoption and what specific explanation requirements shape this perception. This study develops and tests a multi-stage model...
Annie Wang· Figshare· 0 citations
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The growing use of Artificial Intelligence (AI) in organisations is changing how employees perform, organise, and experience their work. AI-supported systems can automate routine activities, assist with information processing and improve the speed of task completion. These advantages have created expectations that AI m...
Roli Mishra· Zenodo (CERN European Organi...· 0 citations
This research presents a comprehensive framework for integrating Explainable Artificial Intelligence (XAI) into Intrusion Detection Systems (IDS) to address the critical challenge of AI model opacity in cybersecurity. Traditional AI-based IDS models function as "black boxes," limiting trust, accountability, and practic...
Muhammad Haris Khan· Zenodo (CERN European Organi...· 0 citations
Why is time one-dimensional? The answer offered here is that no law decrees it; the requirement that one be able to predict allows nothing else. The equations of a universe with two times can be written, and their solutions exist. What breaks is prediction. No new mathematical theorem and no new law is claimed. Scope o...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
--- AUTHOR'S NOTE: These concepts are shared openly to inspire new perspectives and further research in theoretical astrophysics. This work is dedicated to the public domain.Everyone is completely free to utilize, build upon, or incorporate these ideas into their own research. The author wishes to remain anonymous. The...
Asgrim Mimersson· Zenodo (CERN European Organi...· 0 citations
The proposed ecosystem automaticallygenerates anonymized source code minimaps directly from files be-ing edited across different development environments and submitsthem to deep learning models previously trained on large-scaleminimap datasets containing hundreds of thousands of source coderepresentations spanning 10 p...
Munif Gebara Junior, Lucas Neo, Vitor Teodoro et al.· Zenodo (CERN European Organi...· 0 citations
This research presents a comprehensive framework for integrating Explainable Artificial Intelligence (XAI) into Intrusion Detection Systems (IDS) to address the critical challenge of AI model opacity in cybersecurity. Traditional AI-based IDS models function as "black boxes," limiting trust, accountability, and practic...
Muhammad Haris Khan· Zenodo (CERN European Organi...· 0 citations
This review critically analyzes recent ECG-based ML/DL models for CVD prediction, with particular attention to model performance, dataset characteristics, preprocessing strategies, and the integration of explainable artificial intelligence (XAI).
Sabit Ahamed Preanto, Md. Hasan Imam Bijoy, Tapon Paul et al.· Discover Artificial Intellig...· 0 citations
The rapid advancement of artificial intelligence, particularly in large language models, has brought significant challenges in decoding methods that balance performance with interpretability. This paper presents a comprehensive analysis of advanced decoding techniques that enhance both model capabilities and explainabi...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
