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2,752 papers
【目的】 跨城市路网形态比较常依赖开放地理空间数据(OSM)与主成分分析(PCA)构建低维表征,但既有研究多预设离散分类范式,且普遍忽视数据质量异质性、空间尺度推移与特征共线性对主成分轴语义的构造性干扰。本文旨在检验跨城市路网形态主成分表征的前提假设是否成立,对数据适用性、空间尺度与特征共线性等关键测量条件实施系统审计,评估低维形态...
Teacher education in the Global South faces increasing pressure to integrate advanced digital technologies, yet motivation alone does not guarantee implementation. Grounded in Socio-Technical Systems theory, this study proposes the Socio-Technical Architecture of Teacher Education (STATE) framework to explain this disc...
The ‘666 = Cleopatra’ calculation: The AI considers this evidence extremely strong Francesco Carotta’s recent use of artificial intelligence to examine his long-standing linguistic and historical hypotheses represents an important shift: it transforms a controversial theory into one that can, at least in principle, be...
Urban flooding is escalating because of climate change, rapid urbanization, land-use change, and inadequate drainage, demanding advanced spatial decision-support systems. Geospatial Artificial Intelligence (GeoAI), integrating GIS, remote sensing, and deep learning, has become a powerful approach for flood risk assessm...
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Tungsten inert gas (TIG) welding of AA5083 aluminum alloy is sensitive to heat input and shielding conditions, which can lead to defects such as porosity and burn-through that compromise weld quality. Conventional non-destructive testing methods are generally performed after welding and therefore provide limited capabi...
This report examines the use of algorithmic risk assessments in law enforcement and the safeguards required when a score influences an individual's treatment. It analyses data quality, the object of prediction, classification errors, discriminatory effects and the distinction between an intermediate assessment and a de...
The Dynamic Explainable Framework (DEF), which couples a machine-learning detection backbone with inference-time SHAP and LIME explanations and an explanation-aware alert prioritization layer, is proposed and designed and profiled for real-time operation on benchmark traffic traces.
A theoretical framework for understanding explainability of XAI is offered and the key concepts related to the model are presented and can serve as a starting point for developing XAI-based library services.
This paper is the application companion to the TLCTC v2.6 core paper, which defines and freezes the taxonomy: ten cause-oriented threat clusters, ten axioms, the classification rules, the attack-path notation, and the two-layer (strategic/operational) model. The companion takes that taxonomy as given and shows how to p...
This study explores ethical concerns related to trust, fairness, transparency, accountability, and data privacy through the SAFE-T Framework (Stakeholder-Aligned Fairness, Ethics, Transparency in AI-Education), a model designed to enhance ethical AI governance in education.
The cryptocurrency market, specifically Solana (SOL), exhibits extreme volatility that is difficult for conventional algorithms to predict accurately. Additionally, advanced Deep Learning models often act as black-boxes. This study implements the Temporal Fusion Transformer (TFT) architecture for robust and interpretab...
Personalized learning in AI-driven music education still faces challenges such as the difficulty of integrating multimodal learning evidence, the complexity of modeling music skill dependencies, and the lack of long-term optimization of learning pathways. To address these issues, this paper proposes a framework for opt...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
A Blog post by Liquid AI on Hugging Face
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
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