:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Upadhyay, Vivek, Chakrabarti, Amaresh
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Physics and Society Machine Learning
Accesso online:	https://arxiv.org/abs/2604.22043
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Metrics for Assessing Inclusivity and Empowerment of People for Supporting the Design of Inclusive Product Lifecycles
di: Yaldiz, Naz, et al.
Pubblicazione: (2024)

Assessment of Sustainability Value and Dignified Well-Being in Inclusive Product Lifecycles
di: Yaldiz, Naz, et al.
Pubblicazione: (2024)

Supporting Assessment of Novelty of Design Problems Using Concept of Problem SAPPhIRE
di: Singh, Sanjay, et al.
Pubblicazione: (2024)

Graph Neural Ordinary Differential Equations for Coarse-Grained Socioeconomic Dynamics
di: Koch, James, et al.
Pubblicazione: (2024)

A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
di: Karsai, Márton, et al.
Pubblicazione: (2024)

Gated Multimodal Learning for Interpretable Property Energy Performance Prediction and Retrofit Scenario Analysis
di: Bai, Yunfei, et al.
Pubblicazione: (2026)

Analysis of Line Break prediction models for detecting defensive breakthrough in football
di: Yagi, Shoma, et al.
Pubblicazione: (2025)

The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics
di: Wang, Yuhao, et al.
Pubblicazione: (2025)

Cycling into the workshop: predictive maintenance for Barcelona's bike-sharing system
di: Grau-Escolano, Jordi, et al.
Pubblicazione: (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
di: Hosseini, Sanaz Sadat, et al.
Pubblicazione: (2024)

Identifying Dealbreakers and Robust Policies for the Energy Transition Amid Unexpected Events
di: Coppitters, Diederik, et al.
Pubblicazione: (2025)

Decoding street network morphologies and their correlation to travel mode choice
di: Riascos-Goyes, Juan Fernando, et al.
Pubblicazione: (2025)

Mobility-GCN: a human mobility-based graph convolutional network for tracking and analyzing the spatial dynamics of the synthetic opioid crisis in the USA, 2013-2020
di: Xia, Zhiyue, et al.
Pubblicazione: (2024)

Do Streetscapes Still Matter for Customer Ratings of Eating and Drinking Establishments in Car-Dependent Cities?
di: Han, Chaeyeon, et al.
Pubblicazione: (2025)

Four Things People Should Know About Migraines
di: Parsa, Mohammad S., et al.
Pubblicazione: (2025)

Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
di: He, Erhu, et al.
Pubblicazione: (2024)

Mitigating biases in big mobility data: a case study of monitoring large-scale transit systems
di: Wang, Feilong, et al.
Pubblicazione: (2024)

Personalized Programming Guidance based on Deep Programming Learning Style Capturing
di: Liu, Yingfan, et al.
Pubblicazione: (2024)

Assessing the Role of Intersection Proximity in Pedestrian Crashes: Insights from Data Mining Approach
di: Hossain, Ahmed, et al.
Pubblicazione: (2026)

Robustness in sparse artificial neural networks trained with adaptive topology
di: Sulyok, Bendegúz, et al.
Pubblicazione: (2026)

Fusing Cellular Network Data and Tollbooth Counts for Urban Traffic Flow Estimation
di: Yusuf, Oluwaleke, et al.
Pubblicazione: (2026)

Conditional Inverse Learning of Time-Varying Reproduction Numbers Inference
di: Yu, Lanlan, et al.
Pubblicazione: (2026)

Peoples Water Data: Enabling Reliable Field Data Generation and Microbial Contamination Screening in Household Drinking Water
di: Kagan, Suzan, et al.
Pubblicazione: (2026)

From GEV to ResLogit: Spatially Correlated Discrete Choice Models for Pedestrian Movement Prediction
di: Al-Haideri, Rulla, et al.
Pubblicazione: (2026)

Uncover the nature of overlapping community in cities
di: Luo, Peng, et al.
Pubblicazione: (2024)

Unsupervised embedding of trajectories captures the latent structure of scientific migration
di: Murray, Dakota, et al.
Pubblicazione: (2020)

What does making money have to do with crime?: A dive into the National Crime Victimization survey
di: Anuyah, Sydney
Pubblicazione: (2025)

Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection
di: She, Zhaowei, et al.
Pubblicazione: (2023)

Real-Time Go-Around Prediction: A case study of JFK airport
di: Liu, Ke, et al.
Pubblicazione: (2024)

Normalization in Proportional Feature Spaces
di: Benatti, Alexandre, et al.
Pubblicazione: (2024)

Infected Smallville: How Disease Threat Shapes Sociality in LLM Agents
di: Choi, Soyeon, et al.
Pubblicazione: (2025)

Metric Similarity and Manifold Learning of Circular Dichroism Spectra of Proteins
di: Marchetti, Gionni
Pubblicazione: (2025)

DemandCast: Global hourly electricity demand forecasting
di: Steijn, Kevin, et al.
Pubblicazione: (2025)

Context-aware knowledge graph framework for traffic speed forecasting using graph neural network
di: Zhang, Yatao, et al.
Pubblicazione: (2024)

Exploring the impact of social stress on the adaptive dynamics of COVID-19: Typing the behavior of naïve populations faced with epidemics
di: Kastalskiy, Innokentiy, et al.
Pubblicazione: (2023)

Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management
di: Li, Tao, et al.
Pubblicazione: (2024)

Environmental Insights: Democratizing Access to Ambient Air Pollution Data and Predictive Analytics with an Open-Source Python Package
di: Berrisford, Liam J, et al.
Pubblicazione: (2024)

Connecting the geometry and dynamics of many-body complex systems with message passing neural operators
di: Gabriel, Nicholas A., et al.
Pubblicazione: (2025)

Improving Demand Forecasting in Open Systems with Cartogram-Enhanced Deep Learning
di: Park, Sangjoon, et al.
Pubblicazione: (2024)

A Driving Regime-Embedded Deep Learning Framework for Modeling Intra-Driver Heterogeneity in Multi-Scale Car-Following Dynamics
di: Zhou, Shirui, et al.
Pubblicazione: (2025)