Latest peer-reviewed papers from OpenAlex, arXiv, and PubMed — with plain-English summaries and key insights. All legally sourced, metadata only.
This study investigates African Journal of Environmental Science and Technology. The research draws on peer-reviewed data to explore emerging patterns and conclusions in the field of Artificial Intell...
Abstract The rapid evolution of large language models (LLMs) has driven a transformative shift in artificial intelligence (AI), reshaping both research paradigms and practical applications. Additional...
This research explores Metacognition, Executive Control, Self-Regulation, and Other..., contributing new insights to the field of Artificial Intelligence.
Affordance-Compiled Intelligence develops Cognitive Impedance Matching Theory (CIMT), an observable-only and no-meta protected compiler theory for LLM-integrated systems. It also includes worked examp...
This study investigates Advanced PID Control. The research draws on peer-reviewed data to explore emerging patterns and conclusions in the field of Artificial Intelligence, advancing current understan...
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. On the WMT 2014 English-to-French translation task, our m...
This study investigates Multivariate Data Analysis. The research draws on peer-reviewed data to explore emerging patterns and conclusions in the field of Artificial Intelligence, advancing current und...
This paper develops a formal semantic framework for Kolmogorov-Arnold Network (KAN) representations of operational games. Theoretical results establish conditions for representation adequacy, computat...
Functionality-specific vulnerabilities, which mainly occur in Application Programming Interfaces (APIs) with specific functionalities, are crucial for software developers to detect and avoid. APISS is...
Due to their uncertainty and vulnerability to adversarial attacks, machine learning (ML) models can lead to severe consequences, including the loss of human life, when embedded in safety-critical syst...
The contributions of the paper span theoretical and implementational results. Compared to a linear search, we achieve two orders of magnitude speedup for practical scenarios in dimension up to 100.
Effective resilience analysis of road networks is fundamental to building sustainable and disaster prepared cities. PCE combines the strengths of graph attention networks and Long Short-Term Memory mo...
PART ONE: TAKING THE LEAP INTO THE RESEARCH WORLD The challenge of tackling a research project So what is this thing called research and why do it? Navigating the process Understanding your programme...
This study investigates U-Prithvi: Integrating a Foundation Model and U-Net for Enhanced Flood Inundatio.... The research draws on peer-reviewed data to explore emerging patterns and conclusions in th...
This study investigates Multiscale structural similarity for image quality assessment. The research draws on peer-reviewed data to explore emerging patterns and conclusions in the field of Artificial...
This study investigates Proceedings of the 2025 Conference on Empirical Methods in Natural Language Proc.... The research draws on peer-reviewed data to explore emerging patterns and conclusions in th...
This indispensable collection provides extensive, yet accessible, coverage of conceptual and practical issues in research design in personality and social psychology. Seasoned and early-career researc...
This research explores Grounding DINO: Marrying DINO with Grounded Pre-training for..., contributing new insights to the field of Artificial Intelligence.
This research explores YOLOv9: Learning What You Want to Learn Using Programmable G..., contributing new insights to the field of Artificial Intelligence.
This study investigates Theory of Elastic Stability. The research draws on peer-reviewed data to explore emerging patterns and conclusions in the field of Artificial Intelligence, advancing current un...