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Data-Driven Low-Carbon Smart Mobility Framework: A Case Study on Electric Vehicle Charging Services
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inferredcites →https://doi.org/10.1007/978-3-030-44322-1_1openalex-extracted
A Practice Based Exploration on Electric Mobility as a Service in Smart Cities
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Computational Intelligence and Optimization for Transportation Big Data: Challenges and Opportunities
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Evaluation of the mid- and long-term effects of a private car driving–restriction policy under the carbon emission peak target
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Platform as a Service (PaaS)
inferredcites →https://doi.org/10.1016/0895-7177(95)00133-mopenalex-extracted
FhG-Co-driver: From map-guided automatic driving by machine vision to a cooperative driver support
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Urban power load profiles under ageing transition integrated with future EVs charging
inferredcites →https://doi.org/10.1016/j.apenergy.2018.03.105openalex-extracted
Battery electric vehicles in Japan: Human mobile behavior based adoption potential analysis and policy target response
inferredcites →https://doi.org/10.1016/j.apenergy.2020.115038openalex-extracted
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inferredcites →https://doi.org/10.1016/j.cstp.2019.10.002openalex-extracted
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A Fine‐Grained Distribution Approach for ETL Processes in Big Data Environments
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inferredcites →https://doi.org/10.1016/j.future.2017.09.020openalex-extracted
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inferredcites →https://doi.org/10.1016/j.jclepro.2019.03.334openalex-extracted
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inferredcites →https://doi.org/10.1016/j.jnca.2013.10.004openalex-extracted
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inferredcites →https://doi.org/10.1016/j.jnca.2018.07.003openalex-extracted
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inferredcites →https://doi.org/10.1016/j.jpdc.2020.09.006openalex-extracted
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inferredcites →https://doi.org/10.1016/j.jtte.2019.10.002openalex-extracted
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inferredcites →https://doi.org/10.1016/j.procs.2017.08.299openalex-extracted
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inferredcites →https://doi.org/10.1016/j.rser.2019.109569openalex-extracted
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inferredcites →https://doi.org/10.1016/j.rtbm.2023.101043openalex-extracted
Data enabling digital ecosystem for sustainable shared electric mobility-as-a-service in smart cities-an innovative business model perspective
inferredcites →https://doi.org/10.1016/j.scs.2019.101515openalex-extracted
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inferredcites →https://doi.org/10.1016/j.scs.2021.103023openalex-extracted
Urban experiments with public transport for low carbon mobility transitions in cities: A systematic literature review (1990–2020)
inferredcites →https://doi.org/10.1016/j.tranpol.2022.11.008openalex-extracted
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inferredcites →https://doi.org/10.1016/j.tranpol.2023.10.013openalex-extracted
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inferredcites →https://doi.org/10.1016/j.trc.2017.11.021openalex-extracted
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inferredcites →https://doi.org/10.1021/acs.est.0c01609openalex-extracted
On-Demand Automotive Fleet Electrification Can Catalyze Global Transportation Decarbonization and Smart Urban Mobility
inferredcites →https://doi.org/10.1049/iet-its.2018.5188openalex-extracted
Big Data for transportation and mobility: recent advances, trends and challenges
inferredcites →https://doi.org/10.1080/10962247.2022.2100510openalex-extracted
Cordon screen: A cordon-based congestion pricing policy evaluation method for U.S. cities
inferredcites →https://doi.org/10.1080/23080477.2017.1420132openalex-extracted
A Review of the Electric Vehicle Charging Techniques, Standards, Progression and Evolution of EV Technologies in Germany
inferredcites →https://doi.org/10.1109/access.2018.2842685openalex-extracted
A Review on the Use of Blockchain for the Internet of Things
inferredcites →https://doi.org/10.1109/access.2019.2898936openalex-extracted
Research on Customer Marketing Acceptance for Future Automatic Driving—A Case Study in China City
inferredcites →https://doi.org/10.1109/bigdata.2017.8258548openalex-extracted
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inferredcites →https://doi.org/10.1109/bigdatacongress.2017.85openalex-extracted
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inferredcites →https://doi.org/10.1109/ccgrid.2016.37openalex-extracted
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inferredcites →https://doi.org/10.1109/cesys.2017.8321202openalex-extracted
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inferredcites →https://doi.org/10.1109/cinti.2018.8928192openalex-extracted
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inferredcites →https://doi.org/10.1109/columbiancc.2015.7333476openalex-extracted
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inferredcites →https://doi.org/10.1109/confluence.2014.6949224openalex-extracted
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inferredcites →https://doi.org/10.1109/confluence51648.2021.9376879openalex-extracted
DLSDN: Deep Learning for DDOS attack detection in Software Defined Networking
inferredcites →https://doi.org/10.1109/cvcbt47246.2019openalex-extracted
2019 Crypto Valley Conference on Blockchain Technology (CVCBT)
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00033openalex-extracted
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
inferredcites →https://doi.org/10.1109/eecsi.2017.8239179openalex-extracted
Attack scenarios and security analysis of MQTT communication protocol in IoT system
inferredcites →https://doi.org/10.1109/glocom.2018.8647546openalex-extracted
Deep Q-Network Based Route Scheduling for Transportation Network Company Vehicles
inferredcites →https://doi.org/10.1109/hpcs.2018.00108openalex-extracted
Towards Distributed Clouds: A Review About the Evolution of Centralized Cloud Computing, Distributed Ledger Technologies, and A Foresight on Unifying Opportunities and Security Implications
inferredcites →https://doi.org/10.1109/icbda.2018.8367721openalex-extracted
Clustering of public transport operation using K-means
inferredcites →https://doi.org/10.1109/icc40277.2020.9148864openalex-extracted
A Blockchain-based Conditional Privacy-Preserving Traffic Data Sharing in Cloud
inferredcites →https://doi.org/10.1109/icccn.2018.8487447openalex-extracted
Blockchain-Based Security Layer for Identification and Isolation of Malicious Things in IoT: A Conceptual Design
inferredcites →https://doi.org/10.1109/icceet.2012.6203873openalex-extracted
Cloud computing - concepts, architecture and challenges
inferredcites →https://doi.org/10.1109/icecocs.2018.8610630openalex-extracted
Meta-modeling of Zookeeper and MapReduce processing
inferredcites →https://doi.org/10.1109/icetce48199.2020.9091758openalex-extracted
Traffic Prediction for Intelligent Transportation System using Machine Learning
inferredcites →https://doi.org/10.1109/icisce.2018.00120openalex-extracted
The Design of Inland River Ship Microservice Information System Based on Spring Cloud
inferredcites →https://doi.org/10.1109/icitbs.2018.00018openalex-extracted
Short-Time Prediction of Traffic Flow Based on PSO Optimized SVM
inferredcites →https://doi.org/10.1109/icsaw.2017.11openalex-extracted
Microservice Architectures for Scalability, Agility and Reliability in E-Commerce
inferredcites →https://doi.org/10.1109/infcom.2010.5462173openalex-extracted
Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing
inferredcites →https://doi.org/10.1109/itsc.2015.439openalex-extracted
A Scalable Spatio-temporal Data Storage for Intelligent Transportation Systems Based on HBase
inferredcites →https://doi.org/10.1109/jas.2023.123618openalex-extracted
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-extracted
Edge Computing: Vision and Challenges
inferredcites →https://doi.org/10.1109/jiot.2017.2707489openalex-extracted
A Privacy Preserving Communication Protocol for IoT Applications in Smart Homes
inferredcites →https://doi.org/10.1109/jiot.2017.2750180openalex-extracted
Mobile Edge Computing: A Survey
inferredcites →https://doi.org/10.1109/jiot.2017.2767291openalex-extracted
Evaluating Critical Security Issues of the IoT World: Present and Future Challenges
inferredcites →https://doi.org/10.1109/jiot.2019.2893866openalex-extracted
From Cloud Down to Things: An Overview of Machine Learning in Internet of Things
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Intelligence in IoT-Based 5G Networks: Opportunities and Challenges
inferredcites →https://doi.org/10.1109/ms.2018.2141039openalex-extracted
Microservices: The Journey So Far and Challenges Ahead
inferredcites →https://doi.org/10.1109/qrs-c.2018.00036openalex-extracted
Smart Contracts for a Mobility-as-a-Service Ecosystem
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IoT Network Security from the Perspective of Adversarial Deep Learning
inferredcites →https://doi.org/10.1109/spw.2012.19openalex-extracted
Fog Computing: Mitigating Insider Data Theft Attacks in the Cloud
inferredcites →https://doi.org/10.1109/spw.2019.00020openalex-extracted
Defending Against Neural Network Model Stealing Attacks Using Deceptive Perturbations
inferredcites →https://doi.org/10.1109/tbdata.2017.2723473openalex-extracted
A Survey on Geographically Distributed Big-Data Processing Using MapReduce
inferredcites →https://doi.org/10.1109/tbdata.2017.2757942openalex-extracted
A Big Data-as-a-Service Framework: State-of-the-Art and Perspectives
inferredcites →https://doi.org/10.1109/tii.2019.2936507openalex-extracted
DeepVM: RNN-Based Vehicle Mobility Prediction to Support Intelligent Vehicle Applications
inferredcites →https://doi.org/10.1109/tits.2015.2480157openalex-extracted
Big Data for Social Transportation
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Toward Safe and Smart Mobility: Energy-Aware Deep Learning for Driving Behavior Analysis and Prediction of Connected Vehicles
inferredcites →https://doi.org/10.1109/tsusc.2017.2728805openalex-extracted
Predicting Transportation Carbon Emission with Urban Big Data
inferredcites →https://doi.org/10.1109/tvt.2020.2964784openalex-extracted
Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation
inferredcites →https://doi.org/10.1109/tvt.2020.3005363openalex-extracted
Verifiable and Privacy-Preserving Traffic Flow Statistics for Advanced Traffic Management Systems
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A Survey on Multimodal Large Language Models for Autonomous Driving
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The Blockchain as a Software Connector
inferredcites →https://doi.org/10.1145/1721654.1721667openalex-extracted
Cloud computing and SaaS as new computing platforms
inferredcites →https://doi.org/10.1145/3018896.3018923openalex-extracted
Real time analytics of urban congestion trajectories on hadoop-mongoDB cloud ecosystem
inferredcites →https://doi.org/10.1145/3139958.3139984openalex-extracted
City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories
inferredcites →https://doi.org/10.1145/3366423.3380072openalex-extracted
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems
inferredcites →https://doi.org/10.1155/2017/2536040openalex-extracted
Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study
inferredcites →https://doi.org/10.11591/eecsi.v4.1064openalex-extracted
Attack Scenarios and Security Analysis of MQTT Communication Protocol in IoT System
inferredcites →https://doi.org/10.1504/ijwgs.2018.095647openalex-extracted
Blockchain challenges and opportunities: a survey
inferredcites →https://doi.org/10.1609/aaai.v35i2.16201openalex-extracted
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
inferredcites →https://doi.org/10.3390/fi11040094openalex-extracted
A Review of Machine Learning and IoT in Smart Transportation
inferredcites →https://doi.org/10.3390/ijgi6020057openalex-extracted
Identifying Different Transportation Modes from Trajectory Data Using Tree-Based Ensemble Classifiers
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Research on the Parallelization of the DBSCAN Clustering Algorithm for Spatial Data Mining Based on the Spark Platform
inferredcites →https://doi.org/10.3390/s21062143openalex-extracted
Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges
inferredcites →https://doi.org/10.3390/wevj14070186openalex-extracted
An Indicator-Based Methodological Framework for Assessing an eMaaS Scheme
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A Traffic Prediction for Intelligent Transportation System using Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1609.01967openalex-extracted
Challenges and Opportunities in Edge Computing
inferredcites →https://doi.org/10.48550/arxiv.2312.11805openalex-extracted
Gemini: A Family of Highly Capable Multimodal Models
inferredcites →https://doi.org/10.5815/ijitcs.2017.06.07openalex-extracted
Cloud Computing: A review of the Concepts and Deployment Models
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