Smart Applications of Artificial Intelligence and Big Data

1. Auflage 2025
ISBN: 978-1-032-66427-9
Verlag: Taylor & Francis Ltd

Buch, Englisch, 304 Seiten, Format (B × H): 156 mm x 234 mm

Smart Applications of Artificial Intelligence and Big Data covers a wide range of topics related to AI and big data, including machine learning, deep learning, natural language processing, computer vision, data analytics, and data mining. It focuses on the integration of these technologies to create smart applications, such as intelligent transportation systems, smart healthcare, smart cities, and smart grids. The book comprises of twenty-one chapters, each providing technical details of the research, practical examples, and case studies to help readers understand the real-world applications of AI and big data technologies. The book also highlights cutting-edge research on AI and big data, including novel algorithms, tools, and techniques. It discusses the challenges and opportunities of using AI and big data to develop smart applications and provides recommendations for the development of responsible and transparent AI-based systems. Therefore, this book is a valuable resource for researchers and professionals looking to stay up-to-date with the latest advancements in AI and big data and how they can be applied to solve real-world challenges.

Zielgruppe

Academic, Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Abdellah, Boulouz

Belaqziz, Salwa

Amellal, Hicham

Hajjami, Salma El

Ullah Khan, Inam

Koutti, Lahcen

Lahmyed, Redouan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Digital Lifestyle Internet, E-Mail, Social Media
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung

Inhaltsverzeichnis

I- Artificial Intelligence (AI) 1. Resource Utilization and Cost Implications of Container Live Migration in Clouds: An Approach Performed on Amazon Web Services (AWS) 2. A Deep Learning Framework for Gastrointestinal Abnormalities Classification and Localization within WCE Images 3. Breast Cancer Segmentation using U-Net and Transfer Learning Approaches 4. Transforming Graphics Processing Unit-Accelerated Machine Learning Environments with Docker Cloud Containers 5. A Review of Image-based Deep Learning Approaches for Atmospheric Visibility Estimation 6. Advancing Cloud Security: Evaluating Interpretable Machine Learning Algorithms for DDoS Attack Detection 7. Classification of Gastrointestinal Bleeding in WCE Images Based on Fusing a Stabilizing Block with Xception 8. Lung Tumors Recognition and Classification in CT Scan Images Using CNNs, Transfer Learning, and Ensemble Learning 9. A new pedestrian detection method for intelligent surveillance systems II-Smart Applications 10. Compensation of Harmonic Currents for Shunt Active Power Filter Using ADALINE Neural Network 11. Control of a Grid-Connected Photovoltaic System Based on MPPT and Vector Control 12. GeoArgania: A Geolocation Mapping Dataset of Argania Trees in the Souss Region 13. PSM Model for NoSQL Key-Value Databases Through Model Programming 14.Body Temperature Screening During COVID-19 Pandemic15. Signal Processing System for Heart Rate Extraction Using Plethysmography Analysis Through LabVIEW Platform 16. Investigating the Impacts of COVID-19 Over Time Using Sentiment Analysis and Topic Modeling III- Internet of Things (IoT) AND Big Data 17. Smart EV Routing to Charging Stations for Traffic Optimization in Smart Cities: A Case Study in Agadir 18. Dual-Scored Dimensionality Reduction and Spectral Unmixing for Hyperspectral Data Analysis 19. Counterfeit Medicine Detection System 20. SDN Enabled Intrusion Detection System Using Machine Learning and Neural Network Schemes 21. Information Security Awareness in Higher Education: The Need for a Tailor-Made Suit

Über Autor(innen)

Dr. Salwa Belaqziz is a full Professor in Computer Science at the Faculty of Sciences, Ibn Zohr University in Agadir and an affiliate professor at the Center for Remote Sensing Applications of the Mohammed VI Polytechnic University. She received her PhD degree in Computer Science from Cadi Ayyad University of Marrakech in 2014, which focused on the development of a decision support approach for gravity irrigation systems management, based on the combination of multi-agent modeling, remote sensing and optimization by evolutionary algorithms. Salwa Belaqziz has worked at the National Institute of Agricultural Research in Toulouse as postdoctoral researcher, where she participated in the development of an agent-based modeling and simulation platform to assess the environmental, economic and social impacts of various management strategies and policies regarding the management and uses of water resources. Her main research interests include irrigation scheduling, smart farming and decision support systems development, based on approaches combining artificial intelligence, big data, data science, agent-based modeling, physics-based modeling, remote sensing, IoT and optimization algorithms for integrated water resources management. Salwa Belaqziz co-supervises four PhD students and participates in national and international research projects (ASSIWAT, MorSnow, GeanTech, PRIMA,.). She has published papers in international peer-reviewed journals and participated in several international conferences.
Dr. Salma El Hajjami is an Assistant Professor and Researcher at Faculty of science, Ibn Zohr University, Agadir, Morocco since 2021. She is a Ph.D, graduated in 2021 in Computer Science, at the Laboratory of Artificial Intelligence, Data Science and Emerging Systems from ENSA, Sidi Mohammed Ben Abdellah University, Fez, Morocco. She is a Computer Science Engineer, graduated in 2015 from National School of Applied Sciences Fez, Morocco. She has previous expertise acting in Ministry of interior Morocco as Research and Development Engineer from 2017 to 2021. She is member of International Association of Engineers (IAENG) and International Association of Online Engineering. Dr. Salma has made contributions in the fields of Social Big Data, Semantics Analytics, Anomaly Detection, and Imbalanced Big Data published at international conferences and journals. Her main research topics are Machine Learning, Deep Learning, Imbalanced Big Data, Data Science and Blockchain. She has served and continues to serve on technical program and organizer committees of several conferences also as a reviewer of numerous international journals.
Dr. Redouan Lahmyed received the Ph.D. degree in computer science from the Faculty of Science, University Ibn Zohr, Agadir, Morocco in 2019. He also received his master's degree in Computer Science (M.Sc) from the Department of Studies in Computer Science at The University of Mysore, Karnataka, India. His research interests include image processing and computer vision. Apart from his experience with teaching and working with researchers from different countries, he published and served as a reviewer at numerous international conferences and journals.
Dr. Hicham Amellal is an Assistant Professor, Department of Computer Science Faculty of Sciences Ibn Zohr University. He holds a doctorate in information security from Mohamed V University, Faculty of Sciences Rabat-Morocco, and computer engineer, laureate of Kazan State Technological University, Russian Federation. Prof Amellal has different experiences in different regions and in various higher educational institutions with diverse academic configurations and in different level such as: International academy Mohammad VI of civil aviation, national school of applied sciences al Hoceima, Faculty of sciences Agdal and Faculty of Science and Technology al Hoceima. Prof Amellal is member of the workshop organizing committee: Cyber Crime and Quantum Information, 18 to 19 Oct 2016, Rabat VSST Association Chapter Morocco, and Quantum Africa C Advances in Quantum Sciences, Faculty of Sciences, 22 to 26 Sept 2014, Rabat. His research interests include IT security, Quantum cryptography, Post quantum cryptography and Quantum Algorithms.
Information Classification: General
Dr. Koutti Lahcen is a Professor at the Department of Computer Science within the Faculty of Science at Ibn Zohr University in Agadir, Morocco. He obtained his Ph.D. in computational physics from University Paul Verlaine in France in 1999 and his Habilitation degree from Ibn Zohr University in 2010. Prior to his academic career, Dr. Lahcen worked as a software engineer at the multinational company "ALDATA". His research interests revolve around Artificial Intelligence, Computer Vision, Medical Imaging, and Feature Extraction. Dr. Lahcen is a member of the Computer Systems and Vision Laboratory and has an h-index of 7, having co-authored 48 publications that have received 237 citations. Additionally, he currently manages the AL KHAWARZIMI project (2020/20).
Dr. Abdellah Boulouz is a university professor in the IT department at the Faculty of Sciences, University Ibn Zohr in Agadir. He holds a PhD in Microelectronics, Microsensors, and Systems, which he obtained from the University of Montpellier 2, IES (Institut d’Électronique et des Systèmes). He also has a Master's degree in Computer Engineering and Open Systems/Computer Networks (MSIO) from Ecole Centrale Paris (ECP France) and a "Diplôme des Études Approfondies" in Instrumentation Sciences and Physics from the University of Reims Champagne-Ardenne. He worked as a researcher (Postdoctoral position) at the École Polytechnique Fédérale EPFL in Lausanne, Switzerland, and the Leibniz-Institut für Festkörper und Werkstoffforschung, IFW Dresden, Germany. He is also the president and founder of the association Sciences Pour Tous (https://spt.ma) and has several publications in specialized journals and international conferences with peer review.
Dr. Inam Ullah Khan is visiting researcher at king’s College London, Uk. Also, he was faculty member at different universities in Pakistan which include Center for Emerging Sciences Engineering & Technology (CESET), Islamabad, Abdul Wali Khan University, Garden Campus, Timergara Campus, University of Swat & Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad Campus. He completed his Ph.D. in Electronics Engineering from Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). Also, he did his M.S. degree in Electronic Engineering at Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). He had done undergraduate degree in Bachelor of Computer Science from Abdul Wali Khan University Mardan, Pakistan. Apart from that his Master’s thesis is published as a book on topic “Route Optimization with Ant Colony Optimization (ACO)” in Germany which is available on Amazon. More interestingly, he use to teach subjects like computer network security, artificial intelligence, evolutionary computing, professional practice, software engineering, data communication & networks, data base, cyber security, visual programming and introduction to programming. He authored/coauthored more than 30 research articles in reputable journals, conferences and book chapters.