Filters








22 Hits in 4.4 sec

Predicting Auction Price of Vehicle License Plate with Deep Recurrent Neural Network [article]

Vinci Chow
2019 arXiv   pre-print
I construct a deep recurrent neural network (RNN) to predict the prices of vehicle license plates in Hong Kong, based on the characters on a plate.  ...  In Chinese societies, superstition is of paramount importance, and vehicle license plates with desirable numbers can fetch very high prices in auctions.  ...  Using a deep recurrent neural network (RNN), I demonstrate that a good estimate of a license plate's price can be obtained.  ... 
arXiv:1701.08711v4 fatcat:7qnkkokvlzfl3fmybhbgasgduy

Predicting Auction Price of Vehicle License Plate with Deep Recurrent Neural Network

Vinci Chow
2019 Expert systems with applications  
I construct a deep recurrent neural network (RNN) to predict the prices of vehicle license plates in Hong Kong, based on the characters on a plate.  ...  In Chinese societies, superstition is of paramount importance, and vehicle license plates with desirable numbers can fetch very high prices in auctions.  ...  Using a deep recurrent neural network (RNN), I demonstrate that a good estimate of a license plate's price can be obtained.  ... 
doi:10.1016/j.eswa.2019.113008 fatcat:aw3b3kwvm5aftjxcsgc76siv54

Predicting Auction Price of Vehicle License Plate with Deep Residual Learning [chapter]

Vinci Chow
2019 Lecture Notes in Computer Science  
We present an end-to-end neural network model that simultaneously predict the auction price, gives the distribution of prices and produces latent feature vectors.  ...  Due to superstition, license plates with desirable combinations of characters are highly sought after in China, fetching prices that can reach into the millions in government-held auctions.  ...  Our model is powered by a neural network that generates a distribution of predicted prices for a given license plate.  ... 
doi:10.1007/978-3-030-26142-9_16 fatcat:qmho2jrdwza2xl7hxsvdtcsvuq

Table of contents

2020 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
Secure Software 0786 26.4 1570680278 A Comparison of Blockchain-Based Wireless Sensor Network Protocols 0793 26.5 1570681876 Computer Vision Based License Plate Detection for Automated Vehicle  ...  02.1 1570677781 8-Bit Convolutional Neural Network Accelerator for Face Recognition 0035 02.2 1570681196 Deep Attractor with Convolutional Network for Monaural Speech Separation 0040 02.3  ... 
doi:10.1109/uemcon51285.2020.9298057 fatcat:p4v3pn2m2zaaxdgobcaw5db76m

2020 Index IEEE Transactions on Intelligent Transportation Systems Vol. 21

2020 IEEE transactions on intelligent transportation systems (Print)  
Park, K., +, TITS Jan. 2020 321-335 Simultaneous End-to-End Vehicle and License Plate Detection With Multi-Branch Attention Neural Network.  ...  ., +, TITS April 2020 1480-1490 Simultaneous End-to-End Vehicle and License Plate Detection With Multi- Branch Attention Neural Network.  ...  R Radar clutter Outliers-Robust CFAR Detector of Gaussian Clutter Based on the Truncated-Maximum-Likelihood-Estimator in SAR Imagery. Ai, J., 2039 -2049  ... 
doi:10.1109/tits.2020.3048827 fatcat:ab6he3jkfjboxg7wa6pagbggs4

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
+ Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex  ...  Relaying System With SWIPT Under Outdated CSI; TVT Dec. 2020 15580-15593 Hodtani, G.A., see Gholami, R., TVT Sept. 2020 9938-9950 Hoki, K., see Kawakami, T., TVT Dec. 2020 16168-16172 Hong, C.,  ...  ., +, TVT July 2020 7503-7517 Improving Massive MIMO Message Passing Detectors With Deep Neural Network.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

Survey of Smart Parking Systems

Mathias Gabriel Diaz Ogás, Ramon Fabregat, Silvana Aciar
2020 Applied Sciences  
This paper aims to identify the types of smart parking systems (SPS) that are available today, as well as investigate the kinds of vehicle detection techniques (VDT) they have and the algorithms or other  ...  The large number of vehicles constantly seeking access to congested areas in cities means that finding a public parking place is often difficult and causes problems for drivers and citizens alike.  ...  Using a previously trained recurrent artificial neural network, the prediction of the occupation of the parking slots for the indicated zones was obtained.  ... 
doi:10.3390/app10113872 fatcat:re764mtuy5cejbdgjlhptncqoy

Privacy-Preserving Cloud Computing: Ecosystem, Life Cycle, Layered Architecture and Future Roadmap [article]

Saeed Ahmadi
2022 arXiv   pre-print
Likewise, privacy in cloud computing is important because it ensures that the integrity of data stored on the cloud maintains intact.  ...  Privacy-Preserving Cloud Computing is an emerging technology with many applications in various fields.  ...  In deep learning networks on a bare metal cloud-based, a system called License Plate Recognition System (LPRS) has been constructed and introduced in [339] . the purposes of this system are plate localization  ... 
arXiv:2204.11120v1 fatcat:tx75pckegjgqxg6tiibptiazbi

Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency

Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics  
We address the problem of adversarial attacks on text classification, which is rarely studied comparing to attacks on image classification.  ...  The challenge of this task is to generate adversarial examples that maintain lexical correctness, grammatical correctness and semantic similarity.  ...  These models include both convolutional neural networks (CNN) and recurrent neural networks (RNN), for word-level or characterlevel data processing.  ... 
doi:10.18653/v1/p19-1103 dblp:conf/acl/RenDHC19 fatcat:cgbeqhguzjh7vets2af7vjzwjm

Video Caching, Analytics and Delivery at the Wireless Edge: A Survey and Future Directions

Behrouz Jedari, Gopika Premsankar, Gazi Illahi, Mario Di Francesco, Abbas Mehrabi, Antti Yla-Jaaski
2020 IEEE Communications Surveys and Tutorials  
Edge-C3 improves the network resource utilization as well as the quality of experience (QoE) of end users.  ...  Specifically, it includes: a tutorial on video streaming in mobile networks (e.g., video encoding and adaptive bit-rate streaming); an overview of mobile network architectures, enabling technologies, and  ...  [217] apply echo state networks -a type of recurrent neural network -in a C-RAN setting, which leverages patterns of UEs' content requests at each base station to predict video popularity and UEs' mobility  ... 
doi:10.1109/comst.2020.3035427 fatcat:ialgflav5nao3fwptbmyvtfhpa

Table of Contents

2016 Australian Journal of Primary Health  
A ~300 mm deep space in the top plate is etched with 2mm diameter posts to control two phase flow of liquid and gas over the OB3b/alginate gel.  ...  It consists of 2 parallel plates that are ~30 cm by ~15 cm with ~300 mm etched out of each plate. In the bottom plate, OB3b is immobilized in a ~300 mm thick alginate film.  ... 
doi:10.1071/pyv22n4toc fatcat:hrwhnxdpjreslhuwi7y4edqmo4

Table of Contents

2021 2021 40th Chinese Control Conference (CCC)   unpublished
WU Xiuliang, CAO Maoyong, SUN Kai, MA Fengying 8222 The Temperature Prediction of Hydro-generating Units Based on Temporal Convolutional Network and Recurrent Neural Network . . . . . . . . . . . . . .  ...  YU Jingya, YANG Yi, HAN Qingqing, GU Haiqin, GAO Long, REN Xiaolin 2663 Vehicle State Estimation Based on Recurrent Neural Network . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.23919/ccc52363.2021.9550117 fatcat:55y7a2gagfhtpc6llmfvl7gqpm

Transducer models in the ultrasound simulation program FIELD II and their accuracy

J. A. Jensen, D. Bk
2010 Journal of the Acoustical Society of America  
An analytical study with an idealized model of straight sea bottom ripples has shown that acoustic energy can be partially ducted between neighboring ripples, and this ducting will affect acoustic propagation  ...  This program will be first benchmarked with a classic wedge problem, and then used to study an idealized canyon environment to understand distinct 3-D sound propagation effects.  ...  The computed modal shapes and frequencies are compared with the assumptions and predictions of the Shaw two degrees of freedom network model.  ... 
doi:10.1121/1.3384240 fatcat:m5fvh5cecjceneniqfd5w2y3xy

Incentivizing User-centric Resource Allocation in Wireless Networks in Realtime

Madhumitha Harishankar
2021
The granularity of typical month-long mobile data plans is such that users must forecast their network usage over a month and assign a single monetary value to itsutility.  ...  I consider a series of practical motivating contexts that progressively require lesser trust and reliance on the network provider and allow for more flexible connectivity schemes benefitting end-devices  ...  We hence utilize a deep neural network for Q function approximation, which aids in generalizing past experiences to yet unexplored states.  ... 
doi:10.1184/r1/14668428 fatcat:agvwuvb43revhm2agsfexwvok4

Proceedings of the 1st International Conference on Advanced Research Methods and Analytics

Josep Domenech, Alicia Mas-Tur, Norat Roig-Tierno, Maria Vicente
Congress UPV Proceedings of the 1st international Conference on Advanced Research Methods and Analytics   unpublished
Hodkinson for translating into the English the text of paper and the support of the Spanish Ministry of Economics and Competitiveness through grant CSO2013-43054-R.  ...  The objective is to provide a complete overview of the main factors that affect the journal.  ...  turnover and average prices of the auctioned works of each artist in those media  ... 
fatcat:3qdqlx2wkbcrzn6idmqsea3z3a
« Previous Showing results 1 — 15 out of 22 results