Enabling Machine Learning Applications in Data Science (eBook, PDF)

Proceedings of Arab Conference for Emerging Technologies 2020
Redaktion: Hassanien, Aboul Ella; Alboaneen, Dabiah Ahmed; Abd El-Kader, Sherine M.; Darwish, Ashraf

• Format: PDF

Produktbeschreibung

This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21-23 June 2020. This book emphasizes the role and recent developments in the field of emerging technologies and artificial intelligence, and related technologies with a special focus on sustainable development in the Arab world. The book targets high-quality scientific research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning applications in data science.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 404
• Erscheinungstermin: 27. Mai 2021
• Englisch
• ISBN-13: 9789813361294
• Artikelnr.: 61972307

Autorenporträt

Dr. Aboul Ella Hassanein is Founder and Head of the Egyptian Scientific Research Group (SRGE) and Professor of Information Technology at the Faculty of Computer and Information, Cairo University. Professor Hassanien is Ex-Dean of the faculty of computers and information, Beni Suef University. Professor Hassanien has more than 800 scientific research papers published in prestigious international journals and over 40 books covering such diverse topics as data mining, medical images, intelligent systems, social networks and smart environment. Prof. Hassanien won several awards including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award in humanities from the University of Kuwait for the 2004 Award and received the superiority of scientific - University Award (Cairo University, 2013). Also he honored in Egypt as the best researcher in Cairo University in 2013. He also received the Islamic Educational, Scientific and Cultural Organization (ISESCO) prize on Technology (2014) and received the state Award for excellence in engineering sciences 2015. He was awarded the medal of Sciences and Arts of the first class by President of the Arab Republic of Egypt, 2017. Professor Ashraf Darwish has bachelor's and master's degrees in mathematics from Tanta University in Egypt. He received his Ph.D. in computer science from computer science department at Saint Petersburg State University in 2006 from Russian Federation. He has worked as Associate Professor and then Professor of computer science at the mathematics and computer science department, faculty of science, Helwan University in Cairo. Currently, he is Adjunct Professor of computer science at ConTech University, CA, USA. Prior to this, he was Assistant Professor in the same department. From 2017 to 2018, he worked as Acting DepartmentChair. In 2014, he received the prestigious research distinguished award in computer science and information technology. Professor Darwish research interests span both computer science and information technology. Much of his work has been focusing on artificial intelligence, mainly through the application of data mining, machine learning, deep learning and robotics in different areas of research. Dr. Sherine M. Abd El-Kader received the M.Sc. degree from the Electronics and Communications Department, Faculty of Engineering, Cairo University, in 1998, and the Ph.D. degree from the Computers Department, Faculty of Engineering, Cairo University, in 2003. She is currently Acting Vice President of Electronics Research Institute (ERI). She is Head of the Computers and Systems Department, ERI, since 2018. She is also Head of the Technology, Innovation and Commercialization Office (TICO), since 2018. She is a member of the technical evaluation office and performance evaluation of the president of the Academy of Scientific Research and Technology (ASRT) since 2019. She supervised more than 20 M.Sc. and Ph.D. students. She has published more than 50 papers and 9 book chapters in computer networking area and Editor for two books in 5G and Precision Agriculture Technologies for Food Security and Sustainability. She is working in many computer networking hot topics such as: the IoT, 5G, cognitive radio, Wi-MAX, Wi-Fi, IP mobility, QoS, wireless sensors networks, ad hoc networking, real-time traffics, vehicular networks biomedical and localization algorithms. She is also Technical Reviewer for many international journals. She had the first best researcher award in Electronics Research Institute in 2020. Dr. Dabiah Ahmed Alboaneen has received Ph.D. in Cloud Computing and Artificial Intelligence from Glasgow Caledonian University (GCU) in 2019 and M.Sc. in Advanced Computer Networking with distinction from the GCU in 2013. In 2006, she joined the department of computer science, University of Imam Abdulrahman Bin Faisal. Currently, Dr. Dabiah is Assistant Professor and Head of the computer science department at the College of Science and Humanities in Jubail.

Inhaltsangabe

Who is Typing - Automatic Gender Recognition from Interactive Textual Chats Using Typing Behaviour.- An Efficient Framework to Build up Heart Sounds and Murmurs Datasets Used for Automatic Cardiovascular Diseases Classifications.- Facial Recognition and Emotional Expressions Over Video Conferencing Based on Web Real Time Communication and Artificial Intelligence.- Recent Advances in Intelligent Imaging Systems for Early Prediction of Colorectal Cancer: A Perspective.- A Survey on Phishing Attacks Detected by Different Machine Learning Techniques.- Artificial Intelligence in 3D Printing.- Finding Suitable Threshold for Support in Apriori Algorithm Using Statistical Measures.- Optimum Voltage Sag Compensation Strategies Using DVR Series with the Critical Loads.- Wind Distributed Generation with the Power Distribution Network for Power Quality Control.- Multi-objective Quantum Moth Flame Optimization for Clustering.- Rough Sets Crow Search Algorithm for Inverse Kinematics.