The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019) /

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019) /

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This book presents the peer-reviewed proceedings of the 4th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2019), held in Cairo, Egypt, on March 28-30, 2019, and organized by the Scientific Research Group in Egypt (SRGE). The papers cover the latest resear...

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Bibliographic Details
Corporate Author: AMLTA (Conference) Cairo, Egypt)
Other Authors: Azar, Ahmad Taher (Editor), Bhatnagar, Roheet (Editor), Gaber, Tarek, 1975- (Editor), Hassanien, Aboul Ella (Editor), Ṭulbah, Muḥammad Fahmī (Editor), Ṭulbah, Muḥammad Fahmī, 1947- (Editor)
Format: Conference Proceeding Book
Language:English
Published: Cham, Switzerland : Springer, [2019]
Series:Advances in intelligent systems and computing ; 921
Subjects:
Artificial intelligence > Congresses
Machine learning > Congresses
Artificial intelligence
COMPUTERS > General
Machine learning
Electronic books
Conference papers and proceedings
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245 1 4 |a The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019) /  |c editors, Aboul Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Roheet Bhatnagar and Mohamed F. Tolba 
246 3 |a AMLTA 2019 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2019] 
264 4 |c ©2020 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Advances in intelligent systems and computing ;  |v volume 921 
504 |a Includes bibliographical references and index 
505 0 |a Intro; Preface; Organization; Honorary Chair; General Chair; International Advisory Board; Program Chairs; Publicity Chairs; Technical Program Committee; Local Arrangement Chairs; Keynote Speakers and Tutorial; Multi-modal and Uncertain Optimization with Differential Evolution -- Some Recent Approaches and Future Challenges; Modern Algorithms in Control and Design of Complex Systems; Hands-on to TensorFlow (Tutorial on); Contents; Deep Learning Applications; A Deep Learning Approach for Tongue Diagnosis; Abstract; 1 Introduction; 2 Tongue Image Syndrome Classification Model Based on CNN 
505 8 |a 2.1 Data Pre-processing Stage2.2 Deep Learning Stage; 3 Experiment; 3.1 Two-Class Experiment; 3.2 Three-Class Experiment; 4 Result; 5 Platform; 6 Discussion and Conclusion; Acknowledgements; References; Reduced 3-D Deep Learning Framework for Hyperspectral Image Classification; 1 Introduction; 2 Proposed Framework; 2.1 Hyperspectral Dimension Reduction; 2.2 3D Convolutional Neural Network; 3 Experimental Results; 3.1 Experimental Datasets; 3.2 Experimental Design; 3.3 Classification Results; 4 Conclusion; References 
505 8 |a 3.2 Framework of Deep Learning in Healthcare4 Deep Learning Tools; 5 Future Trends of Deep Learning in Healthcare Predictions; 6 Conclusion; References; Deep Layer CNN Architecture for Breast Cancer Histopathology Image Detection; Abstract; 1 Introduction; 2 The Proposed Deep Layer CNN Architecture for Breast Cancer Image Detection; 3 Performance Measure for Breast Cancer Image Detection; 4 Experimental Results; 5 Conclusion; Acknowledgement; References; Regression Task on Big Data with Convolutional Neural Network; 1 Introduction; 2 Methods and Data; 3 Experiments; 4 Result 
505 8 |a 5 Conclusion and Future WorkReferences; The Regression of MNIST Dataset Based on Convolutional Neural Network; 1 Introduction; 2 Method; 2.1 Established Relationship Between Regression and MNIST Dataset; 2.2 Description of the CNN in Deep Learning; 2.3 Predicting the Target of MNIST by the CNN; 3 Experiments and Results; 3.1 Establishing the Optimal Network Architecture; 3.2 Results of Regression with Labels of Different Standard Deviation; 4 Conclusion; References; Swarm Intelligence and Applications; Intelligent Hybrid Approach for Feature Selection; Abstract; 1 Introduction 
505 8 |a An Efficient Deep Convolutional Neural Network for Visual Image Classification1 Introduction; 2 Related Work, Contribution, and Organization of this Paper; 3 The Proposed Deep Model (VICNet); 4 Experimental Evaluations; 4.1 ImageNet Dogs; 4.2 Features Classification; 4.3 Experimental Evaluation Metrics; 5 Results and Discussion; References; Deep Learning for Predictive Analytics in Healthcare; Abstract; 1 Introduction; 2 Deep Learning Predictive Analytics Survey in Health Care; 3 Deep Learning Framework for Healthcare Predictions; 3.1 Deep Learning Models 
520 |a This book presents the peer-reviewed proceedings of the 4th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2019), held in Cairo, Egypt, on March 28-30, 2019, and organized by the Scientific Research Group in Egypt (SRGE). The papers cover the latest research on machine learning, deep learning, biomedical engineering, control and chaotic systems, text mining, summarization and language identification, machine learning in image processing, renewable energy, cyber security, and intelligence swarms and optimization 
588 0 |a Online resource; title from PDF title page (EBSCO, viewed March 20, 2019) 
650 0 |a Artificial intelligence  |v Congresses 
650 0 |a Machine learning  |v Congresses 
650 7 |a Artificial intelligence  |2 fast 
650 7 |a COMPUTERS  |x General  |2 bisacsh 
650 7 |a Machine learning  |2 fast 
655 4 |a Electronic books 
655 7 |a Conference papers and proceedings  |2 fast 
700 1 |a Azar, Ahmad Taher,  |e editor 
700 1 |a Bhatnagar, Roheet,  |e editor 
700 1 |a Gaber, Tarek,  |d 1975-  |e editor 
700 1 |a Hassanien, Aboul Ella,  |e editor 
700 1 |a Ṭulbah, Muḥammad Fahmī,  |e editor 
700 1 |a Ṭulbah, Muḥammad Fahmī,  |d 1947-  |e editor 
830 0 |a Advances in intelligent systems and computing ;  |v 921 
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