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A review on deep learning for future smart cities

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/int.22129openalex-snapshot
Virtual learning environment to predict withdrawal by leveraging deep learning
inferredcites →https://doi.org/10.1002/spe.2797openalex-snapshot
A metaheuristic optimization approach for energy efficiency in the IoT networks
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inferredcites →https://doi.org/10.1007/s10916-019-1284-7openalex-snapshot
Application of Deep Learning Algorithm in Cervical Cancer MRI Image Segmentation Based on Wireless Sensor
inferredcites →https://doi.org/10.1007/s11042-019-7651-zopenalex-snapshot
Students’ affective content analysis in smart classroom environment using deep learning techniques
inferredcites →https://doi.org/10.1007/s11276-019-02181-6openalex-snapshot
Traffic big data assisted V2X communications toward smart transportation
inferredcites →https://doi.org/10.1016/j.apenergy.2019.04.113openalex-snapshot
Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China
inferredcites →https://doi.org/10.1016/j.chb.2017.08.013openalex-snapshot
Impact of using classroom response systems on students' entrepreneurship learning experience
inferredcites →https://doi.org/10.1016/j.comcom.2020.01.016openalex-snapshot
Deep learning and big data technologies for IoT security
inferredcites →https://doi.org/10.1016/j.comcom.2020.04.004openalex-snapshot
A deep neural networks based model for uninterrupted marine environment monitoring
inferredcites →https://doi.org/10.1016/j.comnet.2019.106861openalex-snapshot
Classifying transportation mode and speed from trajectory data via deep multi-scale learning
inferredcites →https://doi.org/10.1016/j.jclepro.2019.01.070openalex-snapshot
Sustainable and Resource Efficient Cities platform – SureCity holistic simulation and optimization for smart cities
inferredcites →https://doi.org/10.1016/j.patrec.2019.03.022openalex-snapshot
A novel deep learning based framework for the detection and classification of breast cancer using transfer learning
inferredcites →https://doi.org/10.1016/j.scs.2019.101670openalex-snapshot
Deep learning approach for sustainable WWTP operation: A case study on data-driven influent conditions monitoring
inferredcites →https://doi.org/10.1016/j.scs.2020.102080openalex-snapshot
Providing secure and reliable communication for next generation networks in smart cities
inferredcites →https://doi.org/10.1080/14719037.2020.1733056openalex-snapshot
A public management perspective on smart cities: ‘Urban auditing’ for management, governance and accountability
inferredcites →https://doi.org/10.1109/access.2019.2895334openalex-snapshot
Deep Learning Approach for Intelligent Intrusion Detection System
inferredcites →https://doi.org/10.1109/access.2019.2901672openalex-snapshot
EEG Pathology Detection Based on Deep Learning
inferredcites →https://doi.org/10.1109/access.2019.2911427openalex-snapshot
Automatic Detection of Cry Sounds in Neonatal Intensive Care Units by Using Deep Learning and Acoustic Scene Simulation
inferredcites →https://doi.org/10.1109/access.2020.2980942openalex-snapshot
Analysis of Dimensionality Reduction Techniques on Big Data
inferredcites →https://doi.org/10.1109/access.2020.2983091openalex-snapshot
A Systematic Review on Clone Node Detection in Static Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/access.2020.2988160openalex-snapshot
KeySplitWatermark: Zero Watermarking Algorithm for Software Protection Against Cyber-Attacks
inferredcites →https://doi.org/10.1109/ccwc.2019.8666450openalex-snapshot
AD-IoT: Anomaly Detection of IoT Cyberattacks in Smart City Using Machine Learning
inferredcites →https://doi.org/10.1109/eitt.2019.00010openalex-snapshot
Distance Learners' Learning Experience and Perceptions on the Design and Implementation of an Online Flipped Classroom Learning Model
inferredcites →https://doi.org/10.1109/itsc.2019.8917509openalex-snapshot
Link speed prediction for signalized urban traffic network using a hybrid deep learning approach
inferredcites →https://doi.org/10.1109/mcom.2019.1800603openalex-snapshot
Routing for Crowd Management in Smart Cities: A Deep Reinforcement Learning Perspective
inferredcites →https://doi.org/10.1109/mnet.2019.1800459openalex-snapshot
Intelligent Remote Monitoring of Parking Spaces Using Licensed and Unlicensed Wireless Technologies
inferredcites →https://doi.org/10.1109/tia.2020.2971952openalex-snapshot
A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities
inferredcites →https://doi.org/10.1145/3349622.3355446openalex-snapshot
Learn from IoT
inferredcites →https://doi.org/10.1177/1550147720916404openalex-snapshot
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inferredcites →https://doi.org/10.1177/2399808319846517openalex-snapshot
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision
inferredcites →https://doi.org/10.1787/9789264305397-enopenalex-snapshot
Building Resilient Cities
inferredcites →https://doi.org/10.3390/electronics9020274openalex-snapshot
Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model
inferredcites →https://doi.org/10.3390/infrastructures4030052openalex-snapshot
Deep Reinforcement Learning Algorithms in Intelligent Infrastructure
inferredcites →https://doi.org/10.3390/s19133030openalex-snapshot
Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Recent Developments of Deep Learning in Future Smart Cities: A Review
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inferred← citeshttps://doi.org/10.3934/mbe.2021418openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/978-1-7998-9710-1.ch003openalex-snapshot
Challenges and Opportunities for Smart Meters in Smart Cities of India Using Machine Learning and Deep Learning
inferred← citeshttps://doi.org/10.4018/978-1-7998-9710-1.ch012openalex-snapshot
Progression of Digital Healthcare With Deep Learning and Blockchain Methods for Smart Cities
inferred← citeshttps://doi.org/10.4018/979-8-3693-0744-1.ch019openalex-snapshot
Artificial Intelligence and Machine Learning Approaches in Smart City Services
inferred← citeshttps://doi.org/10.4018/ijdcf.20210901.oa3openalex-snapshot
Design and Development of Ternary-Based Anomaly Detection in Semantic Graphs Using Metaheuristic Algorithm
inferred← citeshttps://doi.org/10.4108/eai.17-11-2023.2342639openalex-snapshot
3D Virtual Reality System for Digital Tourism Visualization in Smart Cities
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlvi-4-w1-2021-85-2021openalex-snapshot
USING CONTEXTUAL CUES IN UNDERSTANDING URBAN MENTAL WELL-BEING
inferred← citeshttps://doi.org/10.52113/3/eng/mjet/2024-12-01/96-107openalex-snapshot
Improving the accuracy of short-time traffic prediction in intelligent transport system based on machine learning algorithms
inferred← citeshttps://doi.org/10.52783/jes.1337openalex-snapshot
IoT Approach for Ensuring Safety in smart Cities for Energy Saving
inferred← citeshttps://doi.org/10.52783/jes.675openalex-snapshot
Application of Relying on 3D Modeling Technology in the Design of Urban Sculpture
inferred← citeshttps://doi.org/10.58346/jisis.2024.i1.003openalex-snapshot
A Data Management System for Smart Cities Leveraging Artificial Intelligence Modeling Techniques to Enhance Privacy and Security
inferred← citeshttps://doi.org/10.59388/pm00357openalex-snapshot
Discussions on Neuroscience of Decision-Making
inferred← citeshttps://doi.org/10.70675/66b05d1fz9550z4a42zae8fz01f09904c294openalex-snapshot
Machine Learning Applications in Medical Diagnosis, case study : bone metastasis
inferred← citeshttps://doi.org/10.7717/peerj-cs.2061openalex-snapshot
The Delphi method to analyze the expert views on possible futures of the smart city adoption and development in developing countries: the case of Jordan
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