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Home > Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) > Convolutional Autoencoder for Anomaly Detection in Crowded Scenes
Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) |
Aboul Ella Hassanien; Abdelkrim Haqiq; Peter J. Tonellato; Ladjel Bellatreche; Sam Goundar; Ahmad Taher Azar; Essaid Sabir; Driss Bouzidi
Springer International Publishing
Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)
Convolutional Autoencoder for Anomaly Detection in Crowded Scenes
Authors

Mohamed Ali; Maryam Al-Berry; Zaki Taha

ARI Id

1665320332796_5907630

Access

Not Available Free

Pages

626-633

DOI

10.1007/978-3-030-76346-6_55

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-76346-6_55

Table of Contents of Book
Showing 1 to 20 of 84 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xx
Front Matter
1-1
COVID-19 X-rays Model Detection Using Convolution Neural Network
Moshira S. Ghaleb; Hala M. Ebied; Howida A. Shedeed; Mohamed F. Tolba
3-11
Deep Learning Models Using Auxiliary Classifier GAN for Covid-19 Detection – A Comparative Study
Jaideep Singh Sachdev; Nitu Bhatnagar; Roheet Bhatnagar
12-23
Feature Pyramid Network for COVID-19 Pneumonia Detection from Chest X-rays Images
Khaoula Echabbi; Elmoukhtar Zemmouri; Mohammed Douimi; Salsabil Hamdi
24-32
Explore the Relationship Between COVID-19 Testing Rates with the Number of Cases
Michael Lahzi Gaid; Said A. Salloum
33-45
Deep Learning Method for Bone Abnormality Detection Using Multi-view X-rays
Hadeer El-Saadawy; Manal Tantawi; Howida A. Shedeed; Mohamed F. Tolba
46-55
A Deep Autoencoder Based Multi-Criteria Recommender System
Yahya Bougteb; Brahim Ouhbi; Bouchra Frikh; El Moukhtar Zemmouri
56-65
Review on Supervised and Unsupervised Deep Learning Techniques for Hyperspectral Images Classification
Mayar A. Shafaey; Mohammed A.-M. Salem; Maryam N. Al-Berry; Hala M. Ebied; Mohamed F. Tolba
66-74
The Impact of COVID-19 on E-learning: Advantages and Challenges
Batool M. Amarneh; Muhammad Turki Alshurideh; Barween H. Al Kurdi; Zaid Obeidat
75-89
Commodity Image Retrieval Based on Convolutional Neural Network and Late Fusion
Zhijie Zhao; Hongjie Zhang; Huadong Sun; Baoxing Qiao
90-100
Convolutional Sliding Window Based Model and Synthetic Dataset for Fast Feature Detection
Houssam Halmaoui; Abdelkrim Haqiq
101-111
Convolutional Neural Network for Fire Video Image Detection in the Thermal Power Plant
Fu-Hsiang Chang; Governor David Kwabena Amesimenu; Kuo-Chi Chang; Kai-Chun Chu; Yuh-Chung Lin; Hsiao-Chuan Wang et al.
112-121
One-Stage vs Two-Stage Deep Learning Method for Bone Abnormality Detection
Hadeer El-Saadawy; Manal Tantawi; Howida A. Shedeed; Mohamed F. Tolba
122-132
Front Matter
133-133
Applications of Internet of Things (IoT) in Agriculture - The Potential and Challenges in Smart Farm in Uganda
Moammar Dayoub; Alice Nakiyemba; Juha Plosila
135-144
The Smart Heater Based on Internet of Things
Hanaa F. Morse; Maha S. AlGhamdi; Hussah M. Almusaied; Shouq A. Alsubaie; Dalal M. Almarri; Manal A. Alqahtani et al.
145-153
Combating Against Potentially Harmful Mobile Apps
Muhammad Suleman; Tariq Rahim Soomro; Taher M. Ghazal; Muhammad Alshurideh
154-173
Smart Office Model Based on Internet of Things
Khaznah Alhajri; Maha AlGhamdi; Maha Alrashidi; Taghreed Balharith; Rania Tabeidi
174-183
Distribution Network Fault Location Based on Intelligent Algorithm Research
Kuo-Chi Chang; Rongsheng Zhang; Hui-Qiong Deng; Fu-Hsiang Chang; Hsiao-Chuan Wang; Tsui- Lien Hsu
184-192
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 84 entries
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