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Fractals based multi-oriented text detection system for recognition in mobile video images

Pattern recognition, 2017-08, Vol.68, p.158-174

2017

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Machine Learning and Data Analytic Techniques in Digital Water Metering: A Review

Water (Basel), 2020-01, Vol.12 (1), p.294

2020

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Pattern Recognition: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part II

1st ed. 2023., 2023

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Pattern Recognition: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part I

1st ed. 2024., 2023

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Pattern Recognition: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part III

1st ed. 2023., 2023

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Instance-based error correction for short reads of disease-associated genes

BMC bioinformatics, 2021-06, Vol.22 (S6), p.1-142, Article 142

2021

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Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks

IEEE access, 2019, Vol.7, p.35317-35329

2019

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An Empirical Study on Writer Identification and Verification From Intra-Variable Individual Handwriting

IEEE access, 2019, Vol.7, p.24738-24758

2019

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Fooling intrusion detection systems using adversarially autoencoder

Digital communications and networks, 2021-08, Vol.7 (3), p.453-460

2021

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A new augmentation-based method for text detection in night and day license plate images

Multimedia tools and applications, 2020-11, Vol.79 (43-44), p.33303-33330

2020

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COVID-19 Detection from Radiographs: Is Deep Learning Able to Handle the Crisis?

Signals (Basel), 2022-06, Vol.3 (2), p.296-312

2022

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Robust Feature-Based Automated Multi-View Human Action Recognition System

IEEE access, 2018-01, Vol.6, p.15283-15296

2018

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Improving the reliability of a Bridge Management System (BMS) using an ANN-based Backward Prediction Model (BPM)

Automation in construction, 2008-08, Vol.17 (6), p.758-772

2008

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Self-Reporting Fluorescent Substrates of Protein Tyrosine Kinases

Journal of the American Chemical Society, 2006-02, Vol.128 (6), p.1808-1809

2006

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Network Anomaly Detection by Using a Time-Decay Closed Frequent Pattern

Information (Basel), 2019-08, Vol.10 (8), p.262

2019

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Multiclass Support Matrix Machines by Maximizing the Inter-Class Margin for Single Trial EEG Classification

IEEE transactions on neural systems and rehabilitation engineering, 2019-06, Vol.27 (6), p.1117-1127

2019

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A study on detecting drones using deep convolutional neural networks

2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2017, p.1-5

2017

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An Efficient Signature Verification Method Based on an Interval Symbolic Representation and a Fuzzy Similarity Measure

IEEE transactions on information forensics and security, 2017-10, Vol.12 (10), p.2360-2372

2017

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A new unified method for detecting text from marathon runners and sports players in video (PR-D-19-01078R2)

Pattern recognition, 2020-11, Vol.107, p.107476, Article 107476

2020

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CRISPR/Cas9 cleavage efficiency regression through boosting algorithms and Markov sequence profiling

Bioinformatics, 2018-09, Vol.34 (18), p.3069-3077

2018

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Light-Regulated Sampling of Protein Tyrosine Kinase Activity

Journal of the American Chemical Society, 2006-11, Vol.128 (43), p.14016-14017

2006

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A comparative study of different texture features for document image retrieval

Expert systems with applications, 2019-05, Vol.121, p.97-114

2019

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A decade of research on the use of three-dimensional virtual worlds in health care: a systematic literature review

Journal of medical Internet research, 2014-02, Vol.16 (2), p.e47-e47

2014

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Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy

IEEE transactions on image processing, 2021-01, Vol.30, p.150-162

2021

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A New Few-Shot Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation

IEEE signal processing letters, 2023, Vol.30, p.1607-1611

2023

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Fractals based multi-oriented text detection system for recognition in mobile video images

Machine Learning and Data Analytic Techniques in Digital Water Metering: A Review

Pattern Recognition: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part II

Pattern Recognition: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part I

Pattern Recognition: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part III

Instance-based error correction for short reads of disease-associated genes

Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks

An Empirical Study on Writer Identification and Verification From Intra-Variable Individual Handwriting

Fooling intrusion detection systems using adversarially autoencoder

A new augmentation-based method for text detection in night and day license plate images

COVID-19 Detection from Radiographs: Is Deep Learning Able to Handle the Crisis?

Robust Feature-Based Automated Multi-View Human Action Recognition System

Improving the reliability of a Bridge Management System (BMS) using an ANN-based Backward Prediction Model (BPM)

Self-Reporting Fluorescent Substrates of Protein Tyrosine Kinases

Network Anomaly Detection by Using a Time-Decay Closed Frequent Pattern

Multiclass Support Matrix Machines by Maximizing the Inter-Class Margin for Single Trial EEG Classification

A study on detecting drones using deep convolutional neural networks

An Efficient Signature Verification Method Based on an Interval Symbolic Representation and a Fuzzy Similarity Measure

A new unified method for detecting text from marathon runners and sports players in video (PR-D-19-01078R2)

CRISPR/Cas9 cleavage efficiency regression through boosting algorithms and Markov sequence profiling

Light-Regulated Sampling of Protein Tyrosine Kinase Activity

A comparative study of different texture features for document image retrieval

A decade of research on the use of three-dimensional virtual worlds in health care: a systematic literature review

Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy

A New Few-Shot Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation

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