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Cloud‐based video analytics using convolutional neural networks

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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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/cpe.3131openalex-snapshot
Approaching the Internet of things (IoT): a modelling, analysis and abstraction framework
inferredcites →https://doi.org/10.1002/spe.2168openalex-snapshot
Inter‐Cloud architectures and application brokering: taxonomy and survey
inferredcites →https://doi.org/10.1002/spe.995openalex-snapshot
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
inferredcites →https://doi.org/10.1007/978-1-4899-7488-4_196openalex-snapshot
Gaussian Mixture Models
inferredcites →https://doi.org/10.1007/978-3-540-77129-6_14openalex-snapshot
Bimodal Biometric Person Identification System Under Perturbations
inferredcites →https://doi.org/10.1016/j.aci.2015.02.002openalex-snapshot
Ensemble of different approaches for a reliable person re-identification system
inferredcites →https://doi.org/10.1016/j.compeleceng.2016.03.010openalex-snapshot
Person identification using vascular and non-vascular retinal features
inferredcites →https://doi.org/10.1016/j.future.2017.02.003openalex-snapshot
Cloud-based scalable object detection and classification in video streams
inferredcites →https://doi.org/10.1016/j.ijmedinf.2013.05.005openalex-snapshot
Providing traceability for neuroimaging analyses
inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot
Large-Scale Video Classification with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2014.27openalex-snapshot
DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
inferredcites →https://doi.org/10.1109/cvpr.2015.7299016openalex-snapshot
An improved deep learning architecture for person re-identification
inferredcites →https://doi.org/10.1109/cvprw.2015.7301352openalex-snapshot
Age and gender classification using convolutional neural networks
inferredcites →https://doi.org/10.1109/eais.2015.7368794openalex-snapshot
Online person identification and new person discovery using appearance features
inferredcites →https://doi.org/10.1109/icppw.2005.82openalex-snapshot
The Clarens Web Service Framework for Distributed Scientific Analysis in Grid Projects
inferredcites →https://doi.org/10.1109/icpr.2014.16openalex-snapshot
Deep Metric Learning for Person Re-identification
inferredcites →https://doi.org/10.1109/tsc.2017.2653116openalex-snapshot
Deadline Constrained Video Analysis via In-Transit Computational Environments
inferredcites →https://doi.org/10.1109/tsmc.2018.2840341openalex-snapshot
Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds
inferredcites →https://doi.org/10.1109/ucc.2014.12openalex-snapshot
Traffic Monitoring Using Video Analytics in Clouds
inferredcites →https://doi.org/10.1145/2509136.2509547openalex-snapshot
Instant pickles
inferredcites →https://doi.org/10.1145/2544173.2509547openalex-snapshot
Instant pickles
inferredcites →https://doi.org/10.1145/2668024.2668027openalex-snapshot
Acoustic Gait-based Person Identification using Hidden Markov Models
inferredcites →https://doi.org/10.1145/3006299.3006322openalex-snapshot
Spatial frequency based video stream analysis for object classification and recognition in clouds
inferredcites →https://doi.org/10.1145/3148055.3148081openalex-snapshot
Modeling and Analysis of a Deep Learning Pipeline for Cloud based Video Analytics
inferredcites →https://doi.org/10.1145/982507.982512openalex-snapshot
Person identification using automatic integration of speech, lip, and face experts
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.5170/cern-2005-002.1119openalex-snapshot
Grid Enabled Analysis: Architecture, prototype and status
inferredcites →https://doi.org/10.5170/cern-2005-002.830openalex-snapshot
The Clarens Grid-enabled Web Services Framework: Services and Implementation

What points at this work

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

inferred← citeshttps://doi.org/10.1002/spe.2664openalex-snapshot
Integration of Cloud, Internet of Things, and Big Data Analytics
inferred← citeshttps://doi.org/10.1002/spe.2914openalex-snapshot
Evaluating system architectures for driving range estimation and charge planning for electric vehicles
inferred← citeshttps://doi.org/10.1007/s00500-024-10382-1openalex-snapshot
Deep learning based smart traffic management using video analytics and IoT sensor fusion
inferred← citeshttps://doi.org/10.1016/j.array.2021.100057openalex-snapshot
Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102676openalex-snapshot
Multiphase fault tolerance genetic algorithm for vm and task scheduling in datacenter
inferred← citeshttps://doi.org/10.1109/icfeeie64494.2024.00019openalex-snapshot
Infrared and Visible Image Fusion Based on Deep Learning
inferred← citeshttps://doi.org/10.1109/icstsn61422.2024.10671163openalex-snapshot
Live Video Stream Analysis in Real-Time Using Edge Enhanced Clouds
inferred← citeshttps://doi.org/10.1109/tcc.2020.2991748openalex-snapshot
RES: Real-Time Video Stream Analytics Using Edge Enhanced Clouds
inferred← citeshttps://doi.org/10.1155/2020/3120805openalex-snapshot
Fault Diagnosis and Identification of Power Capacitor Based on Edge Cloud Computing and Deep Learning
inferred← citeshttps://doi.org/10.1155/2021/9022558openalex-snapshot
Deep Learning-Based Big Data Analytics for Internet of Vehicles: Taxonomy, Challenges, and Research Directions
inferred← citeshttps://doi.org/10.3390/app11072925openalex-snapshot
Object Detection, Distributed Cloud Computing and Parallelization Techniques for Autonomous Driving Systems
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