Natural Resource Optimization and Sustainability in Society 5.0: A Comprehensive Review DOI Creative Commons
César Ramírez‐Márquez,

Thelma Posadas-Paredes,

Alma Yunuen Raya-Tapia

et al.

Resources, Journal Year: 2024, Volume and Issue: 13(2), P. 19 - 19

Published: Jan. 24, 2024

In this study, we examine Society 5.0, defined as a future framework where advanced technologies like artificial intelligence (AI), the Internet of Things (IoT), and other digital innovations are integrated into society for sustainable resource management. 5.0 represents an evolution from industrial focus Industry 4.0, aiming harmonious balance between technological progress human-centric values, consistent with United Nations Sustainable Development Goals. Our methodology involves detailed literature review, focusing on identifying evaluating roles AI, IoT, emerging in enhancing efficiency, particularly water energy sectors, to minimize environmental impact. This approach allows us present comprehensive overview current advancements their potential applications 5.0. study’s added value lies its synthesis diverse strategies, emphasizing synergy circular economy practices economic development. We highlight necessity resilience adaptability ecological challenges advocate collaborative, data-informed decision-making framework. findings portray holistic model addressing contemporary global management conservation, projecting technology aligns sustainable, equitable, human-centered

Language: Английский

Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions DOI Creative Commons
Ammar Abulibdeh, Esmat Zaidan, Rawan Abulibdeh

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 437, P. 140527 - 140527

Published: Jan. 1, 2024

The emergence of Industry 4.0 marks a transformative era for businesses and industries, characterized by advanced technologies like automation, Internet Things (IoT), artificial intelligence (AI), smart factories, cyber-physical systems. This revolution promises significant advantages, including enhanced productivity, sustainable progress, heightened resilience. However, the integration is challenged need skilled workforce with expertise in areas such as information technology data analytics. Higher education institutions (HEIs) play vital role equipping future professionals these skills, necessitating curriculum updates infrastructure enhancements. Simultaneously, importance development (ESD) has been underscored global initiatives Sustainable Development Goals (SDGs). ESD instills sense responsibility economic, ecological, equitable well-being. As digital blur lines between faces challenge adapting to evolving demands. AI tools emerged catalyst reshaping learning experiences, fostering innovation, preparing individuals age. chatbots ChatGPT have garnered widespread attention possess potential revolutionize various aspects education. their raises ethical concerns, necessitates redesign, requires strategies continuous learning, demands alignment industry standards. While promising, there notable gap existing literature when it comes exploring implications, influence on ESD, impact structure Blooms Taxonomy, collaboration academia industry, effective personalized learning. paper aims critically examine tools, specific emphasis ChatGPT, within context ESD. It delves into potential, considerations, imperatives partnerships. By providing insights strategies, this contributes ongoing discussion about nature technologically driven world, academic navigate complexities opportunities associated more effectively.

Language: Английский

Citations

244
Revolutionizing the circular economy through new technologies: A new era of sustainable progress DOI Creative Commons
Eduardo Sánchez‐García, Javier Martínez‐Falcó, Bartolomé Marco‐Lajara

et al.

Environmental Technology & Innovation, Journal Year: 2023, Volume and Issue: 33, P. 103509 - 103509

Published: Dec. 29, 2023

Nowadays the pace of production and consumption is reaching environmentally unsustainable levels. In this regard, great technological advances developed in recent years are postulated as a source opportunities to boost circular economy sustainable development. This wide range possibilities offered by new technologies create more reality has aroused curiosity interest academic world, especially years. The main objective research reveal challenges that arise when incorporating objectives economy. Regarding methodology, study been partially supported using bibliometric techniques. results highlight transformative role technologies, blockchain artificial intelligence, advancing economy, with particular emphasis on community technology integration, ethical considerations, synergies, business models, burgeoning bioeconomy. We conclude promise enhanced resource efficiency, optimized supply chains, innovative improved product lifecycle management, offering profound economic environmental benefits while fostering collaborative innovation. However, these also represent address, such integrating advanced methods, ensuring chain transparency, overcoming skill gap, avoiding data centralization, adapting regulatory frameworks foster equitable growth. These some most important areas for further research, those related development employees' capabilities adaptation frameworks, they understudied gaps.

Language: Английский

Citations

87
Smart waste management: A paradigm shift enabled by artificial intelligence DOI Creative Commons
David B. Olawade, Oluwaseun Fapohunda, Ojima Z. Wada

et al.

Waste Management Bulletin, Journal Year: 2024, Volume and Issue: 2(2), P. 244 - 263

Published: May 9, 2024

Waste management poses a pressing global challenge, necessitating innovative solutions for resource optimization and sustainability. Traditional practices often prove insufficient in addressing the escalating volume of waste its environmental impact. However, advent Artificial Intelligence (AI) technologies offers promising avenues tackling complexities systems. This review provides comprehensive examination AI's role management, encompassing collection, sorting, recycling, monitoring. It delineates potential benefits challenges associated with each application while emphasizing imperative improved data quality, privacy measures, cost-effectiveness, ethical considerations. Furthermore, future prospects AI integration Internet Things (IoT), advancements machine learning, importance collaborative frameworks policy initiatives were discussed. In conclusion, holds significant promise enhancing practices, such as concerns, cost implications is paramount. Through concerted efforts ongoing research endeavors, transformative can be fully harnessed to drive sustainable efficient practices.

Language: Английский

Citations

65
Unlocking synergies between waste management and climate change mitigation to accelerate decarbonization through circular-economy digitalization in Indonesia DOI
Tonni Agustiono Kurniawan, Christia Meidiana, Hui Hwang Goh

et al.

Sustainable Production and Consumption, Journal Year: 2024, Volume and Issue: 46, P. 522 - 542

Published: March 13, 2024

Language: Английский

Citations

53
A comprehensive review of AI-enhanced smart grid integration for hydrogen energy: Advances, challenges, and future prospects DOI
Morteza SaberiKamarposhti, Hesam Kamyab, Santhana Krishnan

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 67, P. 1009 - 1025

Published: Jan. 19, 2024

Language: Английский

Citations

52
ADVANCEMENTS AND CHALLENGES IN AI INTEGRATION FOR TECHNICAL LITERACY: A SYSTEMATIC REVIEW DOI Creative Commons

Babajide Tolulope Familoni,

Nneamaka Chisom Onyebuchi

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(4), P. 1415 - 1430

Published: April 17, 2024

This systematic review explores the advancements and challenges associated with integration of artificial intelligence (AI) in promoting technical literacy. Technical literacy is increasingly important today's digital age, where understanding utilizing technology are essential skills. AI has potential to enhance by providing personalized learning experiences, facilitating hands-on learning, offering innovative tools resources. However, education also presents challenges, such as ensuring equitable access, addressing ethical considerations, overcoming barriers. The examines a range studies literature related for literacy, focusing on key themes tools. It highlights transform tailored experiences that cater individual needs preferences. AI-driven tools, simulations, virtual laboratories, intelligent tutoring systems, have been shown student engagement concepts. Despite benefits, identifies integration, including need teacher training, concerns about data privacy, risk reinforcing existing inequalities. Addressing these requires careful planning, collaboration between educators developers, commitment access educational Overall, this provides insights into current state opportunities approach. By leveraging AI, can prepare students success technology-driven world. Keywords: Advancement, Challenges, Integration, Literacy.

Language: Английский

Citations

45
Optimizing renewable energy systems through artificial intelligence: Review and future prospects DOI Creative Commons
Kingsley Ukoba, Kehinde O. Olatunji,

Eyitayo Adeoye

et al.

Energy & Environment, Journal Year: 2024, Volume and Issue: 35(7), P. 3833 - 3879

Published: May 22, 2024

The global transition toward sustainable energy sources has prompted a surge in the integration of renewable systems (RES) into existing power grids. To improve efficiency, reliability, and economic viability these systems, synergistic application artificial intelligence (AI) methods emerged as promising avenue. This study presents comprehensive review current state research at intersection AI, highlighting key methodologies, challenges, achievements. It covers spectrum AI utilizations optimizing different facets RES, including resource assessment, forecasting, system monitoring, control strategies, grid integration. Machine learning algorithms, neural networks, optimization techniques are explored for their role complex data sets, enhancing predictive capabilities, dynamically adapting RES. Furthermore, discusses challenges faced implementation such variability, model interpretability, real-time adaptability. potential benefits overcoming include increased yield, reduced operational costs, improved stability. concludes with an exploration prospects emerging trends field. Anticipated advancements explainable reinforcement learning, edge computing, discussed context impact on Additionally, paper envisions AI-driven solutions smart grids, decentralized development autonomous management systems. investigation provides important insights landscape applications

Language: Английский

Citations

45
The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review DOI Creative Commons
Simon Elias Bibri, Jeffrey Huang,

Senthil Kumar Jagatheesaperumal

et al.

Environmental Science and Ecotechnology, Journal Year: 2024, Volume and Issue: 20, P. 100433 - 100433

Published: May 17, 2024

In the dynamic landscape of sustainable smart cities, emerging computational technologies and models are reshaping data-driven planning strategies, practices, approaches, paving way for attaining environmental sustainability goals. This transformative wave signals a fundamental shift — marked by synergistic operation artificial intelligence (AI), things (AIoT), urban digital twin (UDT) technologies. While previous research has largely explored AI, AIoT, UDT in isolation, significant knowledge gap exists regarding their interplay, collaborative integration, collective impact on context cities. To address this gap, study conducts comprehensive systematic review to uncover intricate interactions among these interconnected technologies, models, domains while elucidating nuanced dynamics untapped synergies complex ecosystem Central four guiding questions: What theoretical practical foundations underpin convergence UDT, planning, how can components be synthesized into novel framework? How does integrating AI AIoT reshape improve performance cities? augment capabilities enhance processes challenges barriers arise implementing what strategies devised surmount or mitigate them? Methodologically, involves rigorous analysis synthesis studies published between January 2019 December 2023, comprising an extensive body literature totaling 185 studies. The findings surpass mere interdisciplinary enrichment, offering valuable insights potential advance development practices. By enhancing processes, integrated offer innovative solutions challenges. However, endeavor is fraught with formidable complexities that require careful navigation mitigation achieve desired outcomes. serves as reference guide, spurring groundbreaking endeavors, stimulating implementations, informing strategic initiatives, shaping policy formulations sustainable, development. These have profound implications researchers, practitioners, policymakers, providing roadmap fostering resiliently designed, technologically advanced, environmentally conscious environments.

Language: Английский

Citations

38
CYBERSECURITY CHALLENGES IN SMART CITIES: A CASE REVIEW OF AFRICAN METROPOLISES DOI Creative Commons

Islam Ahmad,

Anthony Anyanwu,

Shedrack Onwusinkwue

et al.

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(2), P. 254 - 269

Published: Feb. 2, 2024

The rapid urbanization and digital transformation of cities across Africa have given rise to the concept Smart Cities, where advanced technologies are integrated enhance efficiency, sustainability, overall quality urban life. However, this paradigm shift towards interconnected technology-driven environments brings forth a host cybersecurity challenges that demand careful consideration. This paper explores in focusing on case review African metropolises. cities, emblematic global trend, embracing City initiatives address foster economic development. While these promise improved services enhanced connectivity, they concurrently expose myriad threats. interconnectedness devices systems Cities creates vast attack surface, making them susceptible cyber-attacks ranging from data breaches infrastructure disruptions. delves into specific instances faced by metropolises their quest for technological advancement. It analyzes vulnerabilities critical infrastructure, such as energy grids, transportation systems, healthcare networks, highlighting potential risks associated with inadequate measures. Moreover, sheds light socio-economic implications cyber threats emphasizing importance resilient frameworks safeguarding citizen functionality. In conclusion, underscores urgent need comprehensive strategies tailored unique Africa. findings aim contribute better understanding intricate relationship between urbanization, technology, cybersecurity, offering insights can inform policy decisions, implementations, collaborative efforts build secure context. Keywords: Cybersecurity, Africa, Metropolis, Review.

Language: Английский

Citations

37
Reviewing the role of AI in environmental monitoring and conservation: A data-driven revolution for our planet DOI Creative Commons

Onyebuchi Nneamaka Chisom,

Preye Winston Biu,

Aniekan Akpan Umoh

et al.

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(1), P. 161 - 171

Published: Jan. 4, 2024

The rapid increase in human activities is causing significant damage to our planet's ecosystems, necessitating innovative solutions preserve biodiversity and counteract ecological threats. Artificial Intelligence (AI) has emerged as a transformative force, providing unparalleled capabilities for environmental monitoring conservation. This research paper explores the applications of AI ecosystem management, including wildlife tracking, habitat assessment, analysis, natural disaster prediction. AI's role conservation includes resource conservation, species identification. algorithms analyze camera trap footage, drone imagery, GPS data identify estimate population sizes, leading improved anti-poaching efforts enhanced protection diverse species. Habitat assessment involve AI-powered image which aids assessing forest health, detecting deforestation, identifying areas need restoration. Biodiversity analysis identification are achieved through that acoustic recordings, DNA (eDNA), footage. These innovations different species, assess levels, even discover new or endangered flood prediction systems provide early warnings, empowering communities with better preparedness evacuation efforts. Challenges, such quality availability, algorithmic bias, infrastructure limitations, acknowledged opportunities growth improvement. In policy regulation, advocates clear frameworks prioritizing privacy security, transparency, equitable access. Responsible development ethical use emphasized foundational pillars, ensuring integration into aligns principles fairness, societal benefit.

Language: Английский

Citations

36