Buchumschlag

Heatwave increases nighttime light intensity in hyperdense cities of the Global South: A double machine learning study

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Debnath, Ramit, Chandel, Taran, Han, Fengyuan, Bardhan, Ronita
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Machine Learning Computers and Society
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

India nudges to contain COVID-19 pandemic: a reactive public policy analysis using machine-learning based topic modelling
von: Debnath, Ramit, et al.
Veröffentlicht: (2020)

Physics-based deep learning reveals rising heating demand heightens air pollution in Norwegian cities
von: Cao, Cong, et al.
Veröffentlicht: (2024)

NEBULA: A National Scale Dataset for Neighbourhood-Level Urban Building Energy Modelling for England and Wales
von: Colverd, Grace, et al.
Veröffentlicht: (2025)

The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
von: Han, Pengrui, et al.
Veröffentlicht: (2025)

Discrimination in machine learning algorithms
von: Pappadà, Roberta, et al.
Veröffentlicht: (2022)

Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study
von: Yuan, Jin, et al.
Veröffentlicht: (2024)

Questionable practices in machine learning
von: Leech, Gavin, et al.
Veröffentlicht: (2024)

Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysis
von: Debnath, Ramit, et al.
Veröffentlicht: (2024)

Causal machine learning for sustainable agroecosystems
von: Sitokonstantinou, Vasileios, et al.
Veröffentlicht: (2024)

Predicting the duration of traffic incidents for Sydney greater metropolitan area using machine learning methods
von: Grigorev, Artur, et al.
Veröffentlicht: (2024)

On the evolution of research in hypersonics: application of natural language processing and machine learning
von: Ebadi, Ashkan, et al.
Veröffentlicht: (2022)

Airborne assessment uncovers socioeconomic stratification of urban nature in England
von: Zúñiga-González, Andrés Camilo, et al.
Veröffentlicht: (2025)

Learning from sanctioned government suppliers: A machine learning and network science approach to detecting fraud and corruption in Mexico
von: Medina-Hernández, Martí, et al.
Veröffentlicht: (2025)

An explainable machine learning approach for energy forecasting at the household level
von: Béraud, Pauline, et al.
Veröffentlicht: (2024)

Code, Capital, and Clusters: Understanding Firm Performance in the UK AI Economy
von: Ashraf, Waqar Muhammad, et al.
Veröffentlicht: (2026)

Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes
von: Maiya, Sharan, et al.
Veröffentlicht: (2025)

Domain Consistent Industrial Decarbonisation of Global Coal Power Plants
von: Ashraf, Waqar Muhammad, et al.
Veröffentlicht: (2025)

Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?
von: Hatherley, Joshua
Veröffentlicht: (2025)

Achieving Fairness Across Local and Global Models in Federated Learning
von: Makhija, Disha, et al.
Veröffentlicht: (2024)

Improving automatic detection of driver fatigue and distraction using machine learning
von: Wu, Dongjiang
Veröffentlicht: (2024)

Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission
von: Wang, Ziwen, et al.
Veröffentlicht: (2024)

Towards eco friendly cybersecurity: machine learning based anomaly detection with carbon and energy metrics
von: Aashish, KC, et al.
Veröffentlicht: (2025)

Federated learning, ethics, and the double black box problem in medical AI
von: Hatherley, Joshua, et al.
Veröffentlicht: (2025)

Satellite monitoring uncovers progress but large disparities in doubling crop yields
von: Fankhauser, Katie, et al.
Veröffentlicht: (2024)

Emissions Reporting Maturity Model: supporting cities to leverage emissions-related processes through performance indicators and artificial intelligence
von: Xavier, Victor de A., et al.
Veröffentlicht: (2023)

Development of management systems using artificial intelligence systems and machine learning methods for boards of directors (preprint, unofficial translation)
von: Romanova, Anna
Veröffentlicht: (2025)

Process mining for self-regulated learning assessment in e-learning
von: Cerezo, R., et al.
Veröffentlicht: (2024)

Diachronic and synchronic variation in the performance of adaptive machine learning systems: The ethical challenges
von: Hatherley, Joshua, et al.
Veröffentlicht: (2025)

Opportunities of Reinforcement Learning in South Africa's Just Transition
von: Formanek, Claude, et al.
Veröffentlicht: (2024)

Can machines think efficiently?
von: Winchell, Adam
Veröffentlicht: (2025)

Transforming CCTV cameras into NO$_2$ sensors at city scale for adaptive policymaking
von: Ibrahim, Mohamed R., et al.
Veröffentlicht: (2024)

Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress
von: Wang, Yuan, et al.
Veröffentlicht: (2026)

Sustainable Visions: Unsupervised Machine Learning Insights on Global Development Goals
von: García-Rodríguez, Alberto, et al.
Veröffentlicht: (2024)

DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
von: Seedat, Nabeel, et al.
Veröffentlicht: (2022)

Website visits can predict angler presence using machine learning
von: Schmid, Julia S., et al.
Veröffentlicht: (2024)

Understanding the Transit Gap: A Comparative Study of On-Demand Bus Services and Urban Climate Resilience in South End, Charlotte, NC and Avondale, Chattanooga, TN
von: Hosseini, Sanaz Sadat, et al.
Veröffentlicht: (2024)

A review on data fusion in multimodal learning analytics and educational data mining
von: Chango, Wilson, et al.
Veröffentlicht: (2025)

Unintended Impacts of LLM Alignment on Global Representation
von: Ryan, Michael J., et al.
Veröffentlicht: (2024)

Healthcare cost prediction for heterogeneous patient profiles using deep learning models with administrative claims data
von: Morid, Mohammad Amin, et al.
Veröffentlicht: (2025)

A Unified Post-Processing Framework for Group Fairness in Classification
von: Xian, Ruicheng, et al.
Veröffentlicht: (2024)