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09/11/2023
Examining the Effect of Pre-training on Time Series Classification
Although the pre-training followed by fine-tuning paradigm is used exten...
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03/14/2023
Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum
Ethereum has become a popular blockchain with smart contracts for invest...
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01/13/2023
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency
With the ever-increasing boom of Cryptocurrency, detecting fraudulent be...
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09/24/2022
Toward Intention Discovery for Early Malice Detection in Bitcoin
Bitcoin has been subject to illicit activities more often than probably ...
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07/20/2022
Watermark-Based Code Construction for Finite-State Markov Channel with Synchronisation Errors
With advancements in telecommunications, data transmission over increasi...
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09/29/2021
Geometry-Entangled Visual Semantic Transformer for Image Captioning
Recent advancements of image captioning have featured Visual-Semantic Fu...
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05/17/2021
On Decentralization of Bitcoin: An Asset Perspective
Since its advent in 2009, Bitcoin, a cryptography-enabled peer-to-peer d...
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04/20/2021
A Note on Slepian-Wolf Bounds for Several Node Grouping Configurations
The Slepian-Wolf bound on the admissible coding rate forms the most fund...
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02/20/2021
Symbol-Level Synchronisation Channel Modelling With Real-World Application: From Davey-Mackay, Fritchman to Markov
Errors in realistic channels contain not only substitution errors, but s...
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06/29/2020
Solving MKP Applied to IoT in Smart Grid Using Meta-heuristics Algorithms: A Parallel Processing Perspective
Increasing electricity prices in South Africa and the imminent threat of...
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04/20/2020
Concatenated Permutation Codes for Indoor MIMO Visible Light Communication
In this paper, concatenated permutation codewords are used to improve th...
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04/20/2020
Concatenated Permutation Block Codes for Space-Time Shift Keying in Indoor Visible Light Communication
In this paper, concatenated permutation codewordsare used to improve the...
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04/19/2020
Optimization Algorithms for Improving the Performance of Permutation Trellis Codes
In this paper, soft-decision decoders of permutation trellis codes (PTC)...
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03/25/2020
A multivariate water quality parameter prediction model using recurrent neural network
The global degradation of water resources is a matter of great concern, ...
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03/24/2020
A Comprehensive Analysis of Correlated Source Compression Using Edge Computing in Distributed Systems
This paper examines the theory pertaining to lossless compression of cor...
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03/24/2020
Two-Step Surface Damage Detection Scheme using Convolutional Neural Network and Artificial Neural Neural
Surface damage on concrete is important as the damage can affect the str...
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02/19/2020
Optimal DG allocation and sizing in power system networks using swarm-based algorithms
Distributed generation (DG) units are power generating plants that are v...
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02/07/2020
Short sighted deep learning
A theory explaining how deep learning works is yet to be developed. Prev...
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10/16/2019
Trends in the optimal location and sizing of electrical units in smart grids using meta-heuristic algorithms
The development of smart grids has effectively transformed the tradition...
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09/05/2019
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation
Recently, automatic image caption generation has been an important focus...
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06/12/2019
Is Deep Learning an RG Flow?
Although there has been a rapid development of practical applications, t...
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02/21/2019
Long-Bone Fracture Detection using Artificial Neural Networks based on Contour Features of X-ray Images
The following paper proposes two contour-based fracture detection scheme...
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02/20/2019
Long-Bone Fracture Detection using Artificial Neural Networks based on Line Features of X-ray Images
Two line-based fracture detection scheme are developed and discussed, na...
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01/23/2019