Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
Air quality assessment of carbon monoxide, nitrogen dioxide and sulfur dioxide levels in Blantyre, Malawi: a statistical approach to a stationary environmental monitoring station
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...
The authors of the best-selling book PID Controllers: Theory, Design, and Tuning once again draw on their extensive expertise in the PID field to provide an in-depth look at PID control. It pays parti...
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 research explores IEEE Transactions on Medical Imaging, contributing new insights to the field of Artificial Intelligence.
INTRODUCTION Artificial intelligence (AI) is rapidly transforming healthcare and scientific publishing. Through a robust consensus process, we have added specific reporting criteria for AI to ensure t...
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...
In recent years, large pre-trained models, commonly referred to as foundation models, have become increasingly popular for various tasks leveraging transfer learning. Our approach is evaluated on the...
The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure...
This research explores Proceedings of the 2025 Conference on Empirical Methods in N..., contributing new insights to the field of Artificial Intelligence.
Accurate text classification and placement remain challenges in U.S. Gemini and Claude also demonstrated strong correlation with human ratings, with Claude achieving the highest Pearson scores (ρ = 0....
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.