Article
Environmental Sciences
Victor O. K. Li, Jacqueline C. K. Lam, Jiahuan Cui
Summary: This article discusses the role and challenges of AI and big data technologies in environmental decision-making, raises a series of important questions, and summarizes the significance and innovation of the articles included in the special issue. It also highlights the important principles of AI for social good.
ENVIRONMENTAL SCIENCE & POLICY
(2021)
Article
Computer Science, Information Systems
Md Abdur Rahman, M. Shamim Hossain, Ahmad J. Showail, Nabil A. Alrajeh, Ahmed Ghoneim
Summary: Recent advancements in the Industrial Internet of Things (IIoT) and artificial intelligence (AI) have greatly impacted smart city monitoring. This article proposes a framework that combines AI-enabled IIoT data with human intelligence, allowing real-time capturing, categorization, and generation of insights. The framework has the potential to benefit smart city authorities in managing events and objects, as well as enable further interactions between AI algorithms and humans/IIoT.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Jose Javier Astrain, Francisco Falcone, Antonio J. Lopez-Martin, Pablo Sanchis, Jesus Villadangos, Ignacio R. Matias
Summary: This article presents a practical experience on monitoring the data generated by electric buses for energy consumption and battery management. The adopted solutions, charging station configuration, and implementation challenges of the communication infrastructure are covered in detail.
IEEE SENSORS JOURNAL
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Tim Leiner, Edwin Bennink, Christian P. Mol, Hugo J. Kuijf, Wouter B. Veldhuis
Summary: AI offers significant potential for improving patient care, but actual implementation in real-world settings is currently limited. One key challenge is the lack of vendor-neutral infrastructure for deployment. Successful integration of AI into clinical practice requires close collaboration among radiologists, data scientists, software developers, hospital IT experts, and patient involvement.
INSIGHTS INTO IMAGING
(2021)
Article
Computer Science, Theory & Methods
Lingqiang Kong
Summary: This study reveals the influencing mechanism of patients' medical treatment behavior, proposes a patient-centered medical institution selection method, and explores strategic choices affecting patients' primary care, providing an important reference for establishing a scientific and reasonable hierarchical diagnosis and treatment model. Moreover, how to provide precise medical services to patients by acquiring and fusing multi-source and multi-modal mass data will be crucial for a harmonious society in the future. The research results of the online hierarchical diagnosis and treatment model in this paper show significantly improved accuracy and efficiency compared to other studies, and they are fully applicable to practical applications, with plans for further in-depth research on general testability of the model in the future.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Mathematical & Computational Biology
Desire Ngabo, Wang Dong, Ebuka Ibeke, Celestine Iwendi, Emmanuel Masabo
Summary: With the advancement in healthcare analytics and the use of artificial intelligence, the healthcare system is being revolutionized to tackle pandemics in smart cities. AI tools have shown success in various disease areas, including cancer, neurology, and now detecting the novel coronavirus COVID-19. This study presents an AI algorithm that predicts the likely survival rate of COVID-19 suspected patients based on factors like immune system, exercise, and age.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2021)
Article
Urban Studies
Mohammadhossein Ghahramani, Nadina J. Galle, Carlo Ratti, Francesco Pilla
Summary: Social media services like TripAdvisor and Foursquare offer users opportunities to exchange opinions on urban green spaces. By implementing a unified topic modeling approach and leveraging AI techniques for opinion mining, specific characteristics of different green spaces can be explored to support future investments in urban green spaces.
Article
Automation & Control Systems
Mikhail Genkin
Summary: The widespread application of artificial intelligence and machine learning algorithms is revolutionizing various industries and aspects of human experience. A significant industry trend is the transition to smart buildings, which aim to reduce energy consumption and carbon emissions to mitigate climate change. Artificial intelligence, big data, and machine learning algorithms are utilized in smart buildings to learn and optimize system performance. However, there is a lack of guidance for engineers and architects on how to effectively apply these algorithms and technologies in the field of smart buildings. This paper presents B-SMART, the first reference architecture for autonomous smart buildings. B-SMART decouples conceptually distinct layers of functionality and organizes them into an autonomous control loop, facilitating the application of artificial intelligence techniques and technologies in smart buildings. A case study is also presented to demonstrate how B-SMART can accelerate the integration of artificial intelligence in existing smart buildings.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Psychology, Multidisciplinary
Paul Formosa, Wendy Rogers, Yannick Griep, Sarah Bankins, Deborah Richards
Summary: This research explores the issue of dignity in healthcare decision-making when AI is used, and finds that individuals have a preference for human decision-makers and positive outcomes. The identity of the decision-maker is more important in diagnostic cases, while the outcomes are more important in resource allocation cases. Participants perceive AI as dehumanizing and view humans as more suitable decision-makers.
COMPUTERS IN HUMAN BEHAVIOR
(2022)
Review
Green & Sustainable Science & Technology
Lina Martinez, John Rennie Short
Summary: This paper examines the impact of pandemics on urban planning, focusing on transformations in public spaces, transportation, urban connectivities, and urban economies. The current crisis is prompting a reevaluation of urban space and presents an opportunity to plan for safer, more sustainable cities.
Article
Green & Sustainable Science & Technology
Christina Kakderi, Nicos Komninos, Anastasia Panori, Eleni Oikonomaki
Summary: The fundamental principles of modern cities and urban planning are being challenged during the COVID-19 pandemic, leading to potential shifts in city development and sustainability strategies. Responses to the crisis are shaping new policy and planning models for cities to tackle grand challenges like climate change.
Article
Green & Sustainable Science & Technology
Lolwah Binsaedan, Habib M. Alshuwaikhat, Yusuf A. Aina
Summary: This article aims to develop a smart sustainable neighborhood framework to address the lack of integrated approach to social, economic, and environmental values in Saudi Arabian neighborhoods. The framework is based on the concept of urban computing and sustainable development standards, and has been validated through a case study in the Alkhaledia district.
Article
Management
Camaren Peter, Camille Meyer
Summary: This article proposes a conceptual framework for urban commoning in Africa, drawing on the literature on smart cities, southern urbanism, and the urban commons. The framework emphasizes inclusion and knowledge-intensive smart city development, and aims to address the formal-informal divide and enable marginalized citizens to express their rights to the city.
ORGANIZATION STUDIES
(2023)
Review
Green & Sustainable Science & Technology
Elarbi Badidi
Summary: This article provides an understanding of the challenges faced by modern smart cities and introduces the applications of edge AI and Blockchain technologies in the fields of smart mobility and smart energy. It highlights the potential of these technologies and the importance of relevant research.
Article
Geosciences, Multidisciplinary
Neha Kawyitri, Ankit Shekhar
Summary: This study assesses the vulnerability and capacity of the central part of Bhubaneswar city during the Fani cyclone, highlighting that the city is more vulnerable in financial aspects but more capable in social & human, physical, and smart-city aspects. The study recognizes the mitigating impact of smart-city projects and applauds the government's preparation during extreme events, while also providing suggestions for improving disaster management plans.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Environmental Sciences
F. C. Silva, D. H. Silva, K. M. Zamprogna, S. S. Souza, D. Sell, J. Sabatini-Marques, T. Yigitcanlar
Summary: This paper evaluates the changes in nitrogen dioxide concentration in Brazilian metropolitan regions after the outbreak of Covid-19, and finds that the majority of regions have experienced a decrease in nitrogen dioxide levels. The study suggests that the social organization adjustments resulting from the pandemic have had a positive impact on air quality.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Maria Eugenia Perez-Pons, Javier Parra-Dominguez, Guillermo Hernandez, Isabelle Bichindaritz, Juan M. Corchado
Summary: This article proposes an adaptable hybrid model that recommends effective investments in different scenarios. The model incorporates a case-based reasoning system using a classification algorithm to prune the case base and recommend optimal investments based on projected company growth. The intelligent model optimizes the case base through different algorithms for data retrieval and reuse, taking into account investor preferences and decisions.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Chemistry, Analytical
Yeray Mezquita, Blaz Podgorelec, Ana Belen Gil-Gonzalez, Juan Manuel Corchado
Summary: The main purpose of supply chain systems based on blockchain technology is to ensure the traceability and immutability of assets. This paper proposes a model that overcomes the challenge of tracking assets among different blockchain-based supply chain systems. The model enables asset tracking, cryptographic verification of the supply chain, standardization of asset definition, and description in multiple formats. It provides interoperability advantages over other models and has operational applications in the pharmaceutical sector.
Review
Chemistry, Analytical
Hasyiya Karimah Adli, Muhammad Akmal Remli, Khairul Nizar Syazwan Wan Salihin Wong, Nor Alina Ismail, Alfonso Gonzalez-Briones, Juan Manuel Corchado, Mohd Saberi Mohamad
Summary: As the most popular technologies of the 21st century, AI and IoT have played a vital role in transforming the agricultural industry during the pandemic. The convergence of AI and IoT has sparked interest in AIoT, which significantly addresses challenges in agriculture such as pest management and post-harvest management. This paper presents a systematic literature review of AIoT, highlighting its current progress, applications, advantages, and challenges for adoption in modern agriculture.
Article
Green & Sustainable Science & Technology
Raniah Alsahafi, Ahmed Alzahrani, Rashid Mehmood
Summary: Global events are exposing the fragility of the tourism industry and its impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed significantly to global GDP and employment, but experienced a decline due to the pandemic. Sustainable and smart tourism requires collaboration and comprehensive understanding to drive responsible and innovative growth in the sector.
Article
Economics
Asif Faisal, Tan Yigitcanlar, Alexander Paz
Summary: With policy and technology support, driverless cars are expected to be a reality on Australian roads in the next 5-10 years. The pace of adoption depends on public acceptance, which is influenced by various factors. This study focuses on illustrating the impact of these factors on the adoption of driverless cars in Australia.
JOURNAL OF TRANSPORT GEOGRAPHY
(2023)
Article
Information Science & Library Science
Tan Yigitcanlar, Rita Yi Man Li, Prithvi Bhat Beeramoole, Alexander Paz
Summary: Despite the exponential growth in the popularity of AI, there is limited knowledge on public perception of AI in the context of local government services. This study aims to provide empirical evidence and insights on this topic. Findings indicate that attitude influences ease of use and perceived usefulness of AI, with Australians having a more positive perception compared to Hong Kongers. The research informs AI policy and planning decisions for local government authorities.
GOVERNMENT INFORMATION QUARTERLY
(2023)
Editorial Material
Chemistry, Analytical
Bhisham Sharma, Deepika Koundal, Rabie A. Ramadan, Juan M. Corchado
Review
Green & Sustainable Science & Technology
Anne David, Tan Yigitcanlar, Rita Yi Man Li, Juan M. Corchado, Pauline Hope Cheong, Karen Mossberger, Rashid Mehmood
Summary: Digital technologies are widely used in local government activities, and adopting suitable strategies could improve service efficiency, effectiveness, and accountability. However, there are challenges in technology adoption, particularly in terms of capacity and resource allocation. This study aims to provide insights into local government digital technology adoption strategies through systematic reviews and meta-analyses. The results highlight the importance of considering people, processes, and technology aspects, and provide specific strategies for each category.
Editorial Material
Computer Science, Information Systems
Juan M. M. Corchado, Sara Rodriguez, Fernando de la Prieta, Pawel Sitek, Vicente Julian, Rashid Mehmood
Review
Engineering, Electrical & Electronic
Wenda Li, Tan Yigitcanlar, Will Browne, Alireza Nili
Summary: In an era of technological advancements, it is important to ensure that digital technology not only serves economic goals but also fulfills moral and social responsibilities. This study explores the concept of 'Responsible Innovation and Technology' (RIT) to ensure that technological progress benefits society while safeguarding individuals and communities. The study identifies the key characteristics of RIT and develops a conceptual framework for its design, providing a tool for governments, companies, practitioners, researchers, and other stakeholders to address the challenges that come with technological progress.
Editorial Material
Green & Sustainable Science & Technology
Federico Cugurullo, Sarah Barns, Vincent J. Del Casino Jr, Natalie M. Gulsrud, Tan Yigitcanlar, Xiaoling Zhang
FRONTIERS IN SUSTAINABLE CITIES
(2023)
Review
Construction & Building Technology
Raveena Marasinghe, Tan Yigitcanlar, Severine Mayere, Tracy Washington, Mark Limb
Summary: Computer vision (CV) technology has great potential in urban planning, but its applications and challenges have not been thoroughly studied. This paper provides insights into the applications and challenges of CV in the urban planning process, highlighting its support for sustainable urban development.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Green & Sustainable Science & Technology
Nala Alahmari, Rashid Mehmood, Ahmed Alzahrani, Tan Yigitcanlar, Juan M. Corchado
Summary: The rise of the service economy is driven by technological breakthroughs, globalization, and evolving consumer patterns. However, this sector faces challenges in quality, innovation, efficiency, and sustainability. Therefore, it is important to comprehensively study services and service economies. This study develops and validates an artificial intelligence-based methodology to gain a comprehensive understanding of the service sector and provide insights for smarter, more sustainable services and economies.
Article
Education, Scientific Disciplines
Abeer Abdullah Alaql, Fahad Alqurashi, Rashid Mehmood
Summary: The impact of aggressive capitalist approaches on social, economic and planet sustainability is significant. The diversity of the workforce poses new challenges. Transformative approaches are essential to safeguard societies, economies, and the planet.
