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|a 1311464911
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|q (electronic bk.)
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|a 10.1007/978-3-031-03918-8
|2 doi
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|a (OCoLC)1312269593
|z (OCoLC)1311464911
|z (OCoLC)1311568896
|z (OCoLC)1312168583
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|a HCDD
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|a AMLTA (Conference)
|n (8th :
|d 2022 :
|c Cairo, Egypt)
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1 |
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|a The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) /
|c Aboul Ella Hassanien, Rawya Y. Rizk, Václav Snášel, Rehab F. Abdel-Kader, editors.
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| 246 |
3 |
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|a AMLTA 2022
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| 264 |
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1 |
|a Cham, Switzerland :
|b Springer,
|c 2022.
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| 300 |
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|a 1 online resource (1 volume) :
|b illustrations (black and white, and color).
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Lecture notes on data engineering and communications technologies ;
|v volume 113
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| 520 |
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|a This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems.
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| 500 |
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|a Includes author index.
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| 588 |
0 |
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|a Print version record.
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| 505 |
0 |
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|a Intro -- Preface -- Organization -- Honorary Chair -- General Chairs -- Co-chairs -- International Advisory Board -- Publication Chair -- Program Chairs -- Publicity Chairs -- Technical Program Committee -- Local Arrangement Chairs -- Contents -- Deep Learning and Applications -- Plant Leaf Diseases Detection and Identification Using Deep Learning Model -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Experimental Results -- 5 Conclusions -- References -- Reinforcement Learning for Developing an Intelligent Warehouse Environment -- 1 Introduction -- 2 Machine Learning Techniques
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| 505 |
8 |
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|a 3 Results and Discussion -- 4 Conclusion and Future Research -- References -- A Low-Cost Multi-sensor Deep Learning System for Pavement Distress Detection and Severity Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Overall System Architecture -- 3.2 Deep Learning Distress Detection -- 3.3 Dataset and Training Information -- 3.4 Projection onto the Depth 3D Point Cloud and ROI Filtering -- 4 Case Study: Pothole Severity Classification -- 5 Experimental Results -- 5.1 Results for the Distress Detection -- 5.2 Results for Pothole Severity Classification
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| 505 |
8 |
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|a 6 Conclusion -- References -- An Intrusion Detection Model Based on Deep Learning and Multi-layer Perceptron in the Internet of Things (IoT) Network -- 1 Introduction -- 2 Related Work -- 2.1 Multi Agent Systems for IDS -- 2.2 Fuzzy Systems for IDS -- 2.3 Game Theory Models for IDS -- 3 Architecture of the Proposed Intrusion Detection System -- 3.1 Pre-processing and Feature Engineering -- 3.2 Deep Learning Layer -- 3.3 Evaluation Layer -- 4 The Experimental Results -- 5 Comparison Between Proposed Models and the Others -- 6 Conclusion -- References
|
| 505 |
8 |
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|a Transfer Learning and Recurrent Neural Networks for Automatic Arabic Sign Language Recognition -- 1 Introduction -- 2 Related Work -- 3 Arabic Sign Language Dataset -- 4 Methodology -- 4.1 Prepare the Dataset -- 4.2 Extract the Spatial Features -- 4.3 Extract the Temporal Features -- 4.4 Video Augmentation -- 5 Experimental and Results -- 5.1 Experiment Settings -- 5.2 Models Results -- 6 Conclusion and Future Works -- References -- Robust Face Mask Detection Using Local Binary Pattern and Deep Learning -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Experimental Results
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| 505 |
8 |
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|a 5 Conclusion -- References -- Steganography Adaptation Model for Data Security Enhancement in Ad-Hoc Cloud Based V-BOINC Through Deep Learning -- 1 Introduction -- 1.1 Ad-Hoc Cloud Computing -- 1.2 Deep Steganography -- 1.3 Contribution -- 1.4 Paper Organization -- 2 Literature Review -- 3 Proposed Solution -- 4 Experiment -- 5 Discussion and Analysis -- 6 Conclusion -- References -- Performance of Different Deep Learning Models for COVID-19 Detection -- 1 Introduction -- 2 Deep Learning (DL) -- 2.1 The DL-Algorithms Steps in COVID-19 Diagnosis -- 2.2 DL-Models for COVID-19 Detection
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| 650 |
|
0 |
|a Machine learning
|v Congresses.
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| 650 |
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0 |
|a Artificial intelligence
|v Congresses.
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| 650 |
|
7 |
|a Artificial intelligence
|2 fast
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| 650 |
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7 |
|a Machine learning
|2 fast
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| 655 |
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|a proceedings (reports)
|2 aat
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| 655 |
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|a Conference papers and proceedings
|2 fast
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| 655 |
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|a Conference papers and proceedings.
|2 lcgft
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| 655 |
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7 |
|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Hassanien, Aboul Ella,
|e editor.
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| 700 |
1 |
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|a Rizk, Rawya Y.,
|e editor.
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| 700 |
1 |
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|a Snášel, Václav,
|d 1957-
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PBJwhyG9VxwpYkDYqrcBkjC
|1 https://isni.org/isni/0000000122819840
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| 700 |
1 |
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|a Abdel-Kader, Rehab F.,
|e editor.
|
| 776 |
0 |
8 |
|i Print version:
|a AMLTA (Conference) (8th : 2022 : Cairo, Egypt), creator.
|t 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022).
|d Cham : Springer, 2022
|z 9783031039171
|w (OCoLC)1308493966
|
| 830 |
|
0 |
|a Lecture notes on data engineering and communications technologies ;
|v v. 113.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-03918-8
|y Click for online access
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| 903 |
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|a SPRING-ROBOTICS2022
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| 994 |
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|a 92
|b HCD
|