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E-raamat: Technological Innovation and Sustainability through AI: Cutting-Edge Solutions for a Sustainable Future

Edited by (Associate Professor, ENS - Moulay Ismail University of Meknès, Morocco), Edited by , Edited by , Edited by
  • Formaat: PDF+DRM
  • Ilmumisaeg: 30-Apr-2026
  • Kirjastus: CRC Press
  • Keel: eng
  • ISBN-13: 9781040594858
  • Formaat - PDF+DRM
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Technological Innovation and Sustainability through AI: Cutting-Edge Solutions for a Sustainable Future explores how advanced artificial intelligence (AI) solutions are being used to drive technological innovations that support sustainable development and create a more environmentally friendly future.

The book examines the intersections of AI, ethics, healthcare, social good, and the evolving future of work, offering insights into how AI is reshaping our world with a focus on sustainable development. The content ranges from foundational AI principles and ethical considerations to practical applications like machine learning for energy efficiency and smart grids.

Features:

  • Real-world examples and case studies, showcasing practical applications of AI in various sectors
  • Interdisciplinary expertise from a range of experts in diverse fields
  • Explores future trends and innovations, offering forward-looking insights

With contributions from a range of experts, the book offers a wide understanding of how AI can be leveraged to drive technological innovation and sustainability. It will be of great interest to academics, practitioners, and policymakers.



This book provides a comprehensive examination of the role of artificial intelligence (AI) in driving technological innovation and promoting sustainability across various industries.

Chapter 01: The Nexus between Digital Transformation and Corporate
Environmental Performance

Terezin Mathew

Chapter 02: The impact of sporting events on tourism attractiveness:
Organization of the 2030 World Cup in Morocco

EL KARMAOUI Fatima Zahra

Chapter 03: Navigating the Pandemic with AI: Toward Sustainable Deep Learning
and Machine Learning Approaches for X-Ray and CT-Based COVID-19 Detection

Youness Chawki

Chapter 04 - Improving Predictions of Student Performance and Personalized
School Guidance with Hybrid Machine Learning Models: A Case Study in
Cameroonian Secondary Schools

Eric Desiré KAMENI, Stephane Cédric Tekouabou Koumetio, Marlene Djoutieu
TEGANKONG and Samsong Durand Priso Essawe Ndedi

Chapter 05: Improving Governance 4.0 and Bottom-Up Decision-making Approaches
in Moroccan Higher Education Through Sentiment Machine Learning Analysis

Said Azelmad

Chapter 06: Experimentation in physics teaching and the contribution of
artificial intelligence and virtual labs

Zineb Azar, Dardary Oussama, Malika Tridane, Said Belaaouad

Chapter 07: Integration of artificial intelligence, virtual labs, and digital
simulation in science education

Dardary Oussama, Zineb Azar, Malika Tridane, Said Belaaouad

Chapter 08: REFRAMING TECHNOLOGICAL INNOVATION DIMENSION AND AI
COMPETITIVENESS FOR PRO-GROWTH SMALL BUSINESSES IN SUB-SAHARAN AFRICA

Olubiyi, Timilehin Olasoji

Chapter 09: A qualitative systematic review of the influential factors for
green decision-making

Mouhcine Rhouiri, Merouane El Azami El Hassani, Mohamed-Habiboullah Meyabe,
Mehdi Bensouda

Chapter 10: Nexus between Renewable Energy, Artificial Intelligence, and
Economic Growth: The Moroccan case

Yahya Fikria, Mohamed Rhalmaa

Chapter 11: Impact of new technologies and sustainability on maintenance in
the era of Artificial Intelligence

Amal NAJI and Zitouni BEIDOURI

Chapter 12: Group work in the digital age: a survey of banking Human
Resources in Morocco

Abdelaziz Berdi, Seghyar Nabil, Ahmed EL hammoumi

Chapter 13: AI-Powered Waste Management: Transforming Linear Systems into
Circular Economy Solutions

Shubham Gupta

Chapter 14: AI-Driven Innovation in Waste Management and Recycling

Vinod B R, Arunakumari BN, M. Varuna, Jyothi D N

Chapter 15: Artificial Intelligence and Biodiversity Regeneration: Inclusive
Strategies for Smart Cities in the Global South

Nawal Benabdallah

Chapter 16: Artificial Intelligence in Sustainable Supply Chain Management

Mohamed Badiy, Charaf Hamidi, Fatima Amounas, Zaynab Khalfi, Salma Gaou, and
Abdelaaziz Hessane
El Arbi Abdellaoui Alaoui, Professor at ENS, Moulay Ismail University, researches wireless networking, AI, IoT, and smart cities. With a 2017 PhD in Computer Science, he publishes extensively and contributes to the academic community as a reviewer and guest editor.

Cédric Stéphane Tekouabou Koumetio, Assistant Professor (Senior Lecturer) at the ENS University of Yaoundé 1, specializes in computer vision, AI, machine learning, and urban engineering. He holds a 2020 PhD from Chouaib Doukkali University and was a postdoc researcher at UM6P. He also contributes as an associate editor and journal reviewer.

Abdelaaziz Hessane, Assistant Professor at Moulay Ismail University, specializes in AI, machine learning, and deep learning, with applications in smart grids, agriculture, and more. He holds a 2024 PhD in Computer Science and has a strong publication record, actively contributing to conferences and journals.

Amine Sallah earned his PhD in Artificial Intelligence in 2024 from the Faculty of Sciences and Technology, Moulay Ismail University of Meknès, Errachidia, Morocco. His research focuses on cybersecurity, AI and machine learning, genetic algorithms, explainable AI (XAI), and LLMs.