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A multi-source dataset of urban life in the city of Milan and the Province of Trentino
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-11469-9_15openalex-snapshot
Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong
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Identifying Important Places in People’s Lives from Cellular Network Data
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Exploring the mobility of mobile phone users
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Understanding individual human mobility patterns
inferredcites →https://doi.org/10.1038/ncomms7007openalex-snapshot
Uncovering the spatial structure of mobility networks
inferredcites →https://doi.org/10.1038/srep01950openalex-snapshot
Limited communication capacity unveils strategies for human interaction
inferredcites →https://doi.org/10.1038/srep05276openalex-snapshot
From mobile phone data to the spatial structure of cities
inferredcites →https://doi.org/10.1073/pnas.1408439111openalex-snapshot
Dynamic population mapping using mobile phone data
inferredcites →https://doi.org/10.1080/15230406.2014.890072openalex-snapshot
Geo-located Twitter as proxy for global mobility patterns
inferredcites →https://doi.org/10.1098/rsif.2013.0789openalex-snapshot
The scaling of human interactions with city size
inferredcites →https://doi.org/10.1098/rsos.150162openalex-snapshot
Quantifying crowd size with mobile phone and Twitter data
inferredcites →https://doi.org/10.1098/rsos.150449openalex-snapshot
Comparing and modelling land use organization in cities
inferredcites →https://doi.org/10.1109/mdm.2013.27openalex-snapshot
Exploiting Foursquare and Cellular Data to Infer User Activity in Urban Environments
inferredcites →https://doi.org/10.1126/science.1177170openalex-snapshot
Limits of Predictability in Human Mobility
inferredcites →https://doi.org/10.1126/science.1186605openalex-snapshot
Network Diversity and Economic Development
inferredcites →https://doi.org/10.1126/science.1223467openalex-snapshot
Quantifying the Impact of Human Mobility on Malaria
inferredcites →https://doi.org/10.1140/epjds/s13688-015-0038-0openalex-snapshot
Personalized routing for multitudes in smart cities
inferredcites →https://doi.org/10.1140/epjds/s13688-015-0040-6openalex-snapshot
High resolution population estimates from telecommunications data
inferredcites →https://doi.org/10.1140/epjds/s13688-015-0041-5openalex-snapshot
Unveiling patterns of international communities in a global city using mobile phone data
inferredcites →https://doi.org/10.1140/epjds/s13688-015-0046-0openalex-snapshot
A survey of results on mobile phone datasets analysis
inferredcites →https://doi.org/10.1145/2145204.2145347openalex-snapshot
Tracking "gross community happiness" from tweets
inferredcites →https://doi.org/10.1145/2746285.2746292openalex-snapshot
On the Decomposition of Cell Phone Activity Patterns and their Connection with Urban Ecology
inferredcites →https://doi.org/10.1371/journal.pcbi.1003716openalex-snapshot
On the Use of Human Mobility Proxies for Modeling Epidemics
inferredcites →https://doi.org/10.1371/journal.pone.0096180openalex-snapshot
Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data
inferredcites →https://doi.org/10.1371/journal.pone.0105184openalex-snapshot
Cross-Checking Different Sources of Mobility Information
inferredcites →https://doi.org/10.1371/journal.pone.0110198openalex-snapshot
An Inherited Small Microdeletion at 15q13.3 in a Patient with Early- Onset Obsessive-Compulsive Disorder
inferredcites →https://doi.org/10.1371/journal.pone.0128692openalex-snapshot
Social Media Fingerprints of Unemployment
inferredcites →https://doi.org/10.25080/majora-92bf1922-00aopenalex-snapshot
Data Structures for Statistical Computing in Python
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1210.0137openalex-snapshot
Data for Development: the D4D Challenge on Mobile Phone Data
inferredcites →https://doi.org/10.48550/arxiv.1407.4885openalex-snapshot
D4D-Senegal: The Second Mobile Phone Data for Development Challenge
inferredcites →https://doi.org/10.7910/dvn/egzhfvopenalex-snapshot
Telecommunications - SMS, Call, Internet - MI
inferredcites →https://doi.org/10.7910/dvn/f3rbmfopenalex-snapshot
Telecommunications - MI to Provinces
inferredcites →https://doi.org/10.7910/dvn/maw5aropenalex-snapshot
Telecommunications - TN to Provinces
inferredcites →https://doi.org/10.7910/dvn/qlcabuopenalex-snapshot
Telecommunications - SMS, Call, Internet - TN
inferredcites →https://doi.org/10.7910/dvn/upodnlopenalex-snapshot
Meteotrentino Weather Station Data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Social-Aware Load Balancing System for Crowds in Cellular Networks
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Deep Learning for Primary Sector Prediction in FR2 New Radio Systems
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Dynamic Service Placement in Multi-Access Edge Computing: A Systematic Literature Review
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Revenue Maximization Through Cell Switching and Spectrum Leasing in 5G HetNets
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Assessing Deep Generative Models on Time Series Network Data
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Weather-Aware Fiber-Wireless Traffic Prediction Using Graph Convolutional Networks
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Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation
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Content-Aware Network Traffic Prediction Framework for Quality of Service-Aware Dynamic Network Resource Management
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Distributed Denial of Service Attack Detection for the Internet of Things Using Hybrid Deep Learning Model
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5GT-GAN: Enhancing Data Augmentation for 5G-Enabled Mobile Edge Computing in Smart Cities
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Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions
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Layer-Wise Personalized Federated Learning for Mobile Traffic Prediction
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City Hotspot Identification Using Smart Cyber-Physical Social System
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Clustering-Driven Optimization of RRH-BBU Assignment for Green Communication Networks With Big Data Analytics
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Spatio-Temporal Data Augmentation Method for Network Traffic Prediction
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SCOPE-5G: A Standards-Aligned Synthetic AMF Observability Dataset for Reproducible 5G Core Benchmarking
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Urban Electric Load Forecasting with Mobile Phone Location Data
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FedGCN-GRU: a federated learning method for multi-region power load forecasting with spatiotemporal correlation
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A Prediction-based Online Cost Optimization Algorithm for 5G Vertical
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Context Integrated Relational Spatio-Temporal Resource Forecasting
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Exogenous-Aware Causal Invariant Spatio-Temporal Model for Mobile Traffic Prediction
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Predictability of Cellular Network Traffic Based on Conditional Entropy
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Regional Correlation Aided Mobile Traffic Prediction with Spatiotemporal Deep Learning
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Multimodal Deep Learning-based Demand Forecasting in Network Slicing
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Metropolitan Cellular Traffic Prediction Using Deep Learning Techniques
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Graph Neural Network-Based Internet Traffic Prediction in 6G Networks with Genetic Algorithm Hyperparameter Optimization
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Deep Learning in Mobile and Wireless Networking: A Survey
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Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework
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Network Slicing-Based Learning Techniques for IoV in 5G and Beyond Networks
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Experimental Evaluation of ML Models for Dynamic VNF Autoscaling
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ML-Based Dynamic Scaling and Traffic Forecasting for 5G O-RAN
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Deep Learning for Network Traffic Prediction: An Overview
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Advanced Salp Swarm Algorithm Based Hyper-Parameter Optimization for Cell-Level Traffic Prediction Model
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The Economic Value of Neighborhoods: Predicting Real Estate Prices from the Urban Environment
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Weak Nodes Detection in Urban Transport Systems: Planning for Resilience in Singapore
inferred← citeshttps://doi.org/10.1109/dsaa54385.2022.10032424openalex-snapshot
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing
inferred← citeshttps://doi.org/10.1109/ecei60433.2024.10510805openalex-snapshot
Network Traffic Prediction Based on Fusion of Spatiotemporal Features
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Reinforcement Learning for Dynamic Channel Assignment Using Predicted Mobile Traffic
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Service-Aware Hypergraph Cross-Service Attention Network for High-Traffic Cellular Traffic Prediction
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Base Station Switch-Off Strategy for Energy-Efficient Beyond 5G Wireless Networks
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AGC-WGAN: Adaptive Granularity Conditional Wasserstein GAN for Time Series Forecasting Using Multivariate Data
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On the Automated Scaling of User Plane Function for 5G: An Experimental Evaluation
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Evolution of Policy Verification and Control for 6G Secure Service Orchestration in Telco Clouds
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Cellular Network Traffic Prediction Based on Graph Enhanced Transformer in Dense Urban Scenarios
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Towards Energy-Aware Federated Traffic Prediction for Cellular Networks
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Spectrum Data Monitoring based on Frequency Occupancies for Dynamic Spectrum Access
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Spatio-Temporal Traffic Prediction Using Crossover Attention for Communications and Networking
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Deep Reinforcement Learning based Cloud-native Network Function Placement in Private 5G Networks
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Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting
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Graph Attention Spatial-Temporal Network for Deep Learning Based Mobile Traffic Prediction
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4G LTE Network Data Collection and Analysis along Public Transportation Routes
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Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
inferred← citeshttps://doi.org/10.1109/globecom46510.2021.9685804openalex-snapshot
Spider: Deep Learning-driven Sparse Mobile Traffic Measurement Collection and Reconstruction
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ML-driven scaling of 5G Cloud-Native RANs
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Federated Learning-based Heterogeneous Load Prediction and Slicing for 5G Systems and Beyond
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Autonomous Learning based Proactive Deployment for UAV Assisted Wireless Networks
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Design of fog computing infrastructures with rotary-wing UAVs
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Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting
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Large Language Models for Wireless Cellular Traffic Prediction: A Multi-timespan Approach
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Combining Network Data Analytics Function and Machine Learning for Abnormal Traffic Detection in Beyond 5G
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Joint Routing and Energy Optimization for Integrated Access and Backhaul with Open RAN
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AdaTeacher: Adaptive Multi-Teacher Weighting for Communication Load Forecasting
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Improved Multi-Step, Multi-Variate, and Spatiotemporal 5G Data Usage Forecasting Without Deploying Data Imputation Techniques
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Feature-Selection Based Data Prioritization in Mobile Traffic Prediction Using Machine Learning
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FedBA: A Traffic Prediction Approach Based on Bi-LSTM and Federated Learning
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Lotnet: A Low Overhead Approach for Cellular Traffic Prediction of Large-Scale Urban Area
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Federated-Learning-Based Wireless Traffic Prediction
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Toward Forecast-Aware LLM Agents for Network Management
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Network Traffic Prediction Method Based on Multi-Channel Spatial-Temporal Graph Convolutional Networks
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Federated Learning Assisting Traffic Management for Mega Satellite Constellations
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A Dynamic Bernstein Graph Recurrent Network for Wireless Cellular Traffic Prediction
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Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction
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Data-Efficient Communication Traffic Prediction With Deep Transfer Learning
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