Automatic Rice Plant Disease Evaluation Method Based on Anomaly Detection and Deep Learning

2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) ◽

10.1109/ecti-con51831.2021.9454737 ◽

2021 ◽

Author(s):

Teepakom Tosawadi ◽

Teerasit Kasetkasem ◽

Wanlaya Laungnarutai ◽

Teera Phatrapomnant ◽

Itsuo Kumazawa

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Plant Disease ◽

Evaluation Method

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Smartphone Application for Deep Learning-Based Rice Plant Disease Detection

2020 International Conference on Information Technology Systems and Innovation (ICITSI) ◽

10.1109/icitsi50517.2020.9264942 ◽

2020 ◽

Author(s):

Heri Andrianto ◽

Suhardi ◽

Ahmad Faizal ◽

Fladio Armandika

Keyword(s):

Deep Learning ◽

Plant Disease ◽

Smartphone Application ◽

Disease Detection

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Anomaly Detection and Categorization in Cloud Environment using Deep Learning Techniques

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i5.211214 ◽

2019 ◽

Vol 7 (5) ◽

pp. 211-214

Author(s):

Nidhi Thakkar ◽

Miren Karamta ◽

Seema Joshi ◽

M. B. Potdar

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Cloud Environment ◽

Learning Techniques

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Classification of plant disease using SVM and deep learning

Materials Today Proceedings ◽

10.1016/j.matpr.2021.05.029 ◽

2021 ◽

Author(s):

K. Thaiyalnayaki ◽

Christeena Joseph

Keyword(s):

Deep Learning ◽

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Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics

IEEE Access ◽

10.1109/access.2021.3072916 ◽

2021 ◽

Vol 9 ◽

pp. 59406-59419

Author(s):

Milos Savic ◽

Milan Lukic ◽

Dragan Danilovic ◽

Zarko Bodroski ◽

Dragana Bajovic ◽

...

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Smart Logistics

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Deep Learning model for early prediction of plant disease

2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) ◽

10.1109/icicv50876.2021.9388538 ◽

2021 ◽

Author(s):

PE Rubini ◽

P Kavitha

Keyword(s):

Deep Learning ◽

Plant Disease ◽

Learning Model ◽

Early Prediction ◽

Deep Learning Model

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The anomaly detection mechanism using deep learning in a limited amount of data for fog networking

Computer Communications ◽

10.1016/j.comcom.2021.01.036 ◽

2021 ◽

Vol 170 ◽

pp. 130-143

Author(s):

Gwo-Jiun Horng ◽

Min-Xiang Liu ◽

Chien-Chin Hsu

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Detection Mechanism

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Web Access Log Anomaly Detection Based on Deep Learning

2021 The 4th International Conference on Software Engineering and Information Management ◽

10.1145/3451471.3451491 ◽

2021 ◽

Author(s):

Quan Liu

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

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18 Using deep learning for image-based plant disease detection

Internet of Things and Machine Learning in Agriculture ◽

10.1515/9783110691276-018 ◽

2021 ◽

pp. 369-402

Author(s):

Punam Bedi ◽

Pushkar Gole ◽

Sumit Kumar Agarwal

Keyword(s):

Deep Learning ◽

Plant Disease ◽

Disease Detection

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Deep Learning for Anomaly Detection

Proceedings of the 13th International Conference on Web Search and Data Mining ◽

10.1145/3336191.3371876 ◽

2020 ◽

Author(s):

Ruoying Wang ◽

Kexin Nie ◽

Tie Wang ◽

Yang Yang ◽

Bo Long

Keyword(s):

Deep Learning ◽

Anomaly Detection

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Real-Time Evasion Attacks against Deep Learning-Based Anomaly Detection from Distributed System Logs

Proceedings of the Eleventh ACM Conference on Data and Application Security and Privacy ◽

10.1145/3422337.3447833 ◽

2021 ◽

Author(s):

J. Dinal Herath ◽

Ping Yang ◽

Guanhua Yan

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Real Time ◽

Distributed System ◽

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