The International Conference on Advanced Machine Learning Technologies and Applications AMLTA2018

This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22–24, 2018, and organized by the Scientific ...

Author: Aboul Ella Hassanien

Publisher: Springer

ISBN: 9783319746906

Category: Technology & Engineering

Page: 717

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This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22–24, 2018, and organized by the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic, security, and intelligence swarms and optimization.

The International Conference on Advanced Machine Learning Technologies and Applications AMLTA2019

In: The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), pp. 147–157. Springer, Cham (2018) LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436 (2015) Li, J., Zhang, ...

Author: Aboul Ella Hassanien

Publisher: Springer

ISBN: 9783030141189

Category: Technology & Engineering

Page: 960

View: 358

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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 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.

Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), pp. 127–137. Springer, Cham (2018) 3. Azar, A.T., Serrano, F.E.: Robust IMC–PID tuning for cascade control systems with gain and phase ...

Author: Aboul Ella Hassanien

Publisher: Springer Nature

ISBN: 9783030311292

Category: Technology & Engineering

Page: 1090

View: 156

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This book presents the proceedings of the 5th International Conference on Advanced Intelligent Systems and Informatics 2019 (AISI2019), which took place in Cairo, Egypt, from October 26 to 28, 2019. This international and interdisciplinary conference, which highlighted essential research and developments in the fields of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into several sections, covering the following topics: machine learning and applications, swarm optimization and applications, robotic and control systems, sentiment analysis, e-learning and social media education, machine and deep learning algorithms, recognition and image processing, intelligent systems and applications, mobile computing and networking, cyber-physical systems and security, smart grids and renewable energy, and micro-grid and power systems.

Advanced Machine Learning Technologies and Applications

In: The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), AISC 723. Springer, Cham (2018) 4. Alrezaamiri, H., Ebrahimnejad, A., Motameni, H.: Parallel multi-objective artificial bee colony ...

Author: Aboul-Ella Hassanien

Publisher: Springer Nature

ISBN: 9783030697174

Category: Technology & Engineering

Page: 1144

View: 673

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This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE). The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.

Dynamic Wireless Sensor Networks

New Directions for Smart Technologies Mohamed Elhoseny, Aboul Ella Hassanien ... M. Tolba, M. Elhoseny, & M. Mostafa (Eds.), AMLTA 2018 the international conference on advanced machine learning technologies and applications (AMLTA2018).

Author: Mohamed Elhoseny

Publisher: Springer

ISBN: 9783319928074

Category: Technology & Engineering

Page: 191

View: 779

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This book provides a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of dynamic wireless sensor networks (WSNs) for intelligent and smart applications in a variety of environments. It presents the most central concepts associated with Dynamic Wireless Sensor Networks applications, and discusses issues surrounding Wireless Sensor Network Structures for complex and mobile-based applications. The book subsequently discusses several topics related to energy management in dynamic WSNs, and reviews the steps involved in building a secure and trusted data transmission model using the WSN applications of intelligent environments. Lastly, it discusses the applications of WSNs in live data systems such as SCADA systems. Readers will discover a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of WSNs for intelligent real-life applications. In addition, the book presents original research on the application of a dynamic WSN to solve the problem of energy consumption in a secure WSN during the process of data aggregation and transmission. Written by respected experts in the field, the book will stimulate further efforts in the application of the intelligent WSNs model, helping to solve the problem of data processing in a limited resource WSN-based environment.

Unmanned Aerial Systems

Theoretical Foundation and Applications Anis Koubaa, Ahmad Taher Azar ... A., Tolba, M., Elhoseny, M., Mostafa, M. (Eds.), The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), AMLTA 2018.

Author: Anis Koubaa

Publisher: Academic Press

ISBN: 9780128202777

Category: Technology & Engineering

Page: 650

View: 137

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Unmanned Aerial Systems: Theoretical Foundation and Applications presents some of the latest innovative approaches to drones from the point-of-view of dynamic modeling, system analysis, optimization, control, communications, 3D-mapping, search and rescue, surveillance, farmland and construction monitoring, and more. With the emergence of low-cost UAS, a vast array of research works in academia and products in the industrial sectors have evolved. The book covers the safe operation of UAS, including, but not limited to, fundamental design, mission and path planning, control theory, computer vision, artificial intelligence, applications requirements, and more. This book provides a unique reference of the state-of-the-art research and development of unmanned aerial systems, making it an essential resource for researchers, instructors and practitioners. Covers some of the most innovative approaches to drones Provides the latest state-of-the-art research and development surrounding unmanned aerial systems Presents a comprehensive reference on unmanned aerial systems, with a focus on cutting-edge technologies and recent research trends in the area

Modeling and Control of Static Converters for Hybrid Storage Systems

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019), 370–381. 10.1007/978-3-030-14118-9_37 Ammar, H. H., Azar, A. T., Shalaby, R., & Mahmoud, M. I. (2019a). Metaheuristic optimization of ...

Author: Fekik, Arezki

Publisher: IGI Global

ISBN: 9781799874492

Category: Technology & Engineering

Page: 355

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The energy transition initiated in recent years has enabled the growing integration of renewable production into the energy mix. Microgrids make it possible to maximize the efficiency of energy transmission from source to consumer by bringing the latter together geographically and by reducing losses linked to transport. However, the lack of inertia and the micro-grid support system makes it weak, and energy storage is necessary to ensure its proper functioning. Current storage technologies do not make it possible to provide both a large capacity of energy and power at the same time. Hybrid storage is a solution that combines the advantages of several technologies and reduces their disadvantages. Modeling and Control of Static Converters for Hybrid Storage Systems covers the modeling, control theorems, and optimization techniques that solve many scientific problems for researchers in the field of power converter control for renewable energy hybrid storage and places particular emphasis on the modeling and control of static converters for hybrid storage systems. Covering topics ranging from energy storage to power generation, this book is ideal for automation engineers, electrical engineers, mechanical engineers, professionals, scientists, academicians, master's and doctoral students, and researchers in the disciplines of electrical and mechanical engineering.

Renewable Energy Systems

In: The international conference on advanced machine learning technologies and applications (AMLTA2018), Vol. 723 of advances in intelligent systems and computing (pp. 127À137). Cham: Springer International Publishing.

Author: Ahmad Taher Azar

Publisher: Academic Press

ISBN: 9780128203989

Category: Computers

Page: 732

View: 266

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Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results Includes new circuits and systems, helping researchers solve many nonlinear problems

Backstepping Control of Nonlinear Dynamical Systems

In: Hassanien, A., Tolba, M., Elhoseny, M., Mostafa, M. (Eds.), The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), AMLTA 2018. In: Advances in Intelligent Systems and Computing, vol.

Author: Sundarapandian Vaidyanathan

Publisher: Academic Press

ISBN: 9780128175835

Category: Technology & Engineering

Page: 532

View: 285

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Backstepping Control of Nonlinear Dynamical Systems addresses both the fundamentals of backstepping control and advances in the field. The latest techniques explored include ‘active backstepping control’, ‘adaptive backstepping control’, ‘fuzzy backstepping control’ and ‘adaptive fuzzy backstepping control’. The reference book provides numerous simulations using MATLAB and circuit design. These illustrate the main results of theory and applications of backstepping control of nonlinear control systems. Backstepping control encompasses varied aspects of mechanical engineering and has many different applications within the field. For example, the book covers aspects related to robot manipulators, aircraft flight control systems, power systems, mechanical systems, biological systems and chaotic systems. This multifaceted view of subject areas means that this useful reference resource will be ideal for a large cross section of the mechanical engineering community. Details the real-world applications of backstepping control Gives an up-to-date insight into the theory, uses and application of backstepping control Bridges the gaps for different fields of engineering, including mechanical engineering, aeronautical engineering, electrical engineering, communications engineering, robotics and biomedical instrumentation

Machine Learning Paradigms Theory and Application

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol. 723. Springer, Cham Mezura-Montes, E., Coello, C.A.C.: A simple ...

Author: Aboul Ella Hassanien

Publisher: Springer

ISBN: 9783030023577

Category: Technology & Engineering

Page: 474

View: 223

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The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms. The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.