Artificial intelligence: A key fulcrum for addressing complex environmental health issues DOI Creative Commons
Lei Huang, Qiannan Duan, Yuxin Liu

и другие.

Environment International, Год журнала: 2025, Номер unknown, С. 109389 - 109389

Опубликована: Март 1, 2025

Язык: Английский

Leveraging Artificial Intelligence (AI) for Resilience in Industry 5.0 DOI
Tunde Toyese Oyedokun,

James Aransiola Ishola

Advances in business strategy and competitive advantage book series, Год журнала: 2025, Номер unknown, С. 35 - 68

Опубликована: Янв. 31, 2025

The incorporation of Artificial Intelligence (AI) within Industry 5.0 significantly enhances resilience among small businesses. This chapter explores how AI transforms resilience, sustainability, and customer engagement strategies. With Small businesses can analyze large datasets to identify risks, optimize operations, deliver personalized experiences that align with consumer expectations. AI's ability process data efficiently allows anticipate market changes navigate uncertainties. Additionally, adopting fosters a culture encouraging employees embrace change. also supports sustainable practices by optimizing resource use reducing waste. Customer improves through AI-driven personalization, allowing tailor products services individual preferences. concludes recommendations for businesses: invest in employee training collaboration, ensure leadership commitment, prioritize foster adaptability thrive today's 5.0.

Язык: Английский

Процитировано

1

Impact of regional investment on the sustainable development goals: A group analysis of economic and territorial development DOI Creative Commons
Idiano D’Adamo,

Edouard Nicolas Rossi

Sustainable Development, Год журнала: 2024, Номер unknown

Опубликована: Сен. 30, 2024

Abstract The European Green Deal aims at increasing the sustainability of economic sectors to mitigate effects climate change. Complementing this initiative, Next Generation EU (NGEU) program, whose budget will exceed 800 billion € by 2026, is not merely a recovery plan but also catalyst for green technologies and sustainable activities. Within framework, Italy stands as largest beneficiary funds. present study explored distribution date 194.4 NGEU funds across Italian regions Sustainable Development Goals (SDGs) that have received most significant attention result funding. Leveraging multiple comprehensive datasets, including one encompassing more than 306,706 measures sub‐measures, analysis revealed 55.5 was directed towards Italy's “Green Revolution Ecological Transition,” with further 104.1 allocated (predominantly) SDGs 7 9. Moreover, 70.3 southern (including islands), while 81.0 north. Although population in north approximately one‐third larger south, on per capita basis, 2930 south significantly greater sum 3470 €. Thus, has reduced north–south divide terms. Furthermore, some shown satisfactory performance, despite receiving relatively lower allocation “Made Italy” initiative may represent strategic approach competitiveness global digital markets fostering fraternity among regions. research offers valuable insights into regional their impact development, suggesting territorial gaps be mitigated through pragmatic, community‐based approach.

Язык: Английский

Процитировано

5

Large Language Models Meet Next-Generation Networking Technologies: A Review DOI Creative Commons
Ching Nam Hang, Pei-Duo Yu, Roberto Morabito

и другие.

Future Internet, Год журнала: 2024, Номер 16(10), С. 365 - 365

Опубликована: Окт. 7, 2024

The evolution of network technologies has significantly transformed global communication, information sharing, and connectivity. Traditional networks, relying on static configurations manual interventions, face substantial challenges such as complex management, inefficiency, susceptibility to human error. rise artificial intelligence (AI) begun address these issues by automating tasks like configuration, traffic optimization, security enhancements. Despite their potential, integrating AI models in engineering encounters practical obstacles including configurations, heterogeneous infrastructure, unstructured data, dynamic environments. Generative AI, particularly large language (LLMs), represents a promising advancement with capabilities extending natural processing translation, summarization, sentiment analysis. This paper aims provide comprehensive review exploring the transformative role LLMs modern engineering. In particular, it addresses gaps existing literature focusing LLM applications design planning, implementation, analytics, management. It also discusses current research efforts, challenges, future opportunities, aiming guide for networking professionals researchers. main goal is facilitate adoption networking, promoting more efficient, resilient, intelligent systems.

Язык: Английский

Процитировано

5

Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review DOI Creative Commons
Paolo Visconti,

Giuseppe Rausa,

Carolina Del-Valle-Soto

и другие.

Future Internet, Год журнала: 2024, Номер 16(11), С. 394 - 394

Опубликована: Окт. 26, 2024

The Internet of Things (IoT) has radically changed the industrial world, enabling integration numerous systems and devices into ecosystem. There are many areas manufacturing industry in which IoT contributed, including plants’ remote monitoring control, energy efficiency, more efficient resources management, cost reduction, paving way for smart framework Industry 4.0. This review article provides an up-to-date overview machine learning (ML) algorithms applied to (SM), analyzing four main application fields: security, predictive maintenance, process additive manufacturing. In addition, paper presents a descriptive comparative ML mainly used Furthermore, each discussed topic, deep analysis recent solutions reported scientific literature is introduced, dwelling on architectural aspects, sensing solutions, implemented data strategies, communication tools, performance, other characteristic parameters. comparison highlights strengths weaknesses solution. Finally, presented work outlines features functionalities future IoT-based applications.

Язык: Английский

Процитировано

5

Endüstri 4.0 dan Endüstri 5.0 a Geçiş: Dijital Dönüşümde Yapay Zeka ve Metaverse in Rolü (Transitioning From Industry 4.0 To Industry 5.0: The Role of Artificial Intelligence and The Metaverse in Digital Transformation) DOI Open Access
Kemal Gökhan NALBANT, Sevgi Aydın

Turk Turizm Arastirmalari Dergisi, Год журнала: 2025, Номер unknown

Опубликована: Янв. 4, 2025

Endüstri 4.0'dan 5.0'a geçiş, endüstriyel operasyonlarda önemli bir değişim anlamına gelmektedir. 4.0 otomasyon ve veri merkezli operasyonlara öncelik verirken, 5.0 kişiselleştirme, insan-makine işbirliği sürdürülebilir üretimi teşvik etmektedir. Yapay zeka (AI) bu dönüşümde çok rol oynamakta karar verme, tahmine dayalı analitik otonom sistemleri güçlendirmektedir. 5.0'da yapay zeka, insan yaratıcılığını otomasyonla bütünleştirerek daha akıllı uyarlanabilir süreçleri kolaylaştırır. Metaverse, insanlar, makineler robotlar arasında için sürükleyici sanal ortamlar sunarak değişimi Kuruluşlar, fiziksel uygulamadan önce artırılmış gerçeklik, dijital ikizler simülasyonlar kullanarak ortamda geliştirebilir yaratabilir. metaverse birlikte paradigma oluşturmakta, insanlar arasındaki ara yüzü geliştirirken yenilikçiliği verimliliği Bu çalışma, teknolojilerinin, iş birliği üretim gibi alanlarda 5.0’a sağladığı katkıları analiz etmeyi amaçlamaktadır. Özellikle, uygulamaları ile gerçeklik (metaverse) etkileşim ele alınarak, teknolojilerin yenilikçi çözümler geliştirme potansiyeli değerlendirilmektedir. Çalışma, süreçlerin verimli hale gelmesi metaverse’in nasıl kullanılabileceğine dair bütünsel çerçeve sunmaktadır.

Процитировано

0

The Expert System Application to Diagnose Computer Damage Using UML Model (Unified Modeling Language) DOI Creative Commons

Melyani Melyani,

Faisal Roni,

Ahmad Jurnaidi Wahidin

и другие.

Journal of Management and Informatics, Год журнала: 2025, Номер 3(3), С. 401 - 413

Опубликована: Янв. 15, 2025

The expert system application are developed in line with the existence of information technology. development systems aims to be a means assistance provide solutions our lives. This can help technicians get quickly and save time. Expert use computer technology integrate, manipulate display or characteristics. also making better solutions. With very rapid technological advances today, an idea has emerged from author try implement one programs into quality service activities technicians. tries build that will facilitate provision damage hardware so it make easier for users quickly. created is "Designing System Diagnosing Computer Problems Using Visual Basic" prototype method tools modeling using UML (Unified Modeling Language). built Basic 6.0 process Microsoft Access database.

Язык: Английский

Процитировано

0

Home-based mirror therapy in phantom limb pain treatment: the augmented humans framework DOI Creative Commons
Giorgia Marullo, Chiara Innocente, Luca Ulrich

и другие.

Multimedia Tools and Applications, Год журнала: 2025, Номер unknown

Опубликована: Янв. 18, 2025

Abstract The “Augmented Humans” term refers to the opportunity improve human possibilities by using innovative technologies such as Artificial Intelligence (AI) and Extended Reality (XR). Digital therapies, particularly suitable for those treatments requiring multiple sessions, are increasingly being adopted home-based treatment, enabling continuous monitoring rehabilitation patients, thus alleviating burden on healthcare facilities facilitating remote therapy sessions follow-up visits. Among these, Mirror Therapy (MT) patients suffering from Phantom Limb Pain (PLP) could benefit greatly. This paper proposes a novel framework treatment of PLP through MT; is designed consider activities carried center, patient, system supporting treatment. Moreover, an XR-based solution that integrates Deep Learning (DL) approach has been developed provide with self-testing self-assessment tool conducting at-home independently, even in absence physical medical staff. DL algorithm enables real-time exercises automatic provision personalized feedback gesture’s performance, progressive improvement patient’s movements his ability adhere plan. technical feasibility usability proposed have evaluated 23 healthy subjects, highlighting overall positive user experience. Remarkable results were obtained terms gesture evaluation, macro averaged accuracy F1-score 95%, paving way adoption domain.

Язык: Английский

Процитировано

0

Shaping the Future of Universities in the Age of Industry 5.0 DOI

Isam Zabalawi,

Helene Kordahji

Advances in human resources management and organizational development book series, Год журнала: 2025, Номер unknown, С. 1 - 26

Опубликована: Янв. 24, 2025

As the world enters Industry 5.0, universities must evolve as educators, innovators, and societal leaders. This chapter examines impact of 5.0 on higher education, emphasizing advanced technologies, interdisciplinary collaboration, human-centric approaches. It highlights integration AI, robotics, data analytics in research, teaching, operations, stressing need to bridge digital divide, train faculty emerging tools, foster lifelong learning through microcredentials. The CDIO framework is revisited, aligning with 5.0's ethical demands. University-industry partnerships are essential for curricula, fostering innovation, providing practical opportunities. underscores role promoting sustainability, ethics, community engagement ensure technology serves well-being. Recommendations include adopting smart campus supporting entrepreneurship, advocating equitable, ethical, technology-driven educational policies.

Язык: Английский

Процитировано

0

Sustainable Universities as Catalysts for Industry 5.0 Transformation DOI
Jean H. El Achkar

Advances in human resources management and organizational development book series, Год журнала: 2025, Номер unknown, С. 27 - 52

Опубликована: Янв. 24, 2025

Industry 5.0 represents a significant shift, combining human creativity with advanced technologies to achieve sustainable and human-centered industrial practices. Universities play critical role in this transformation by encouraging innovation, interdisciplinary research, collaboration industry, all while incorporating sustainability into their operations. This chapter investigates how universities advance the Sustainable Development Goals (SDGs) implementing initiatives such as green campuses, smart technologies, ISO standards that promote It focuses on current practices worldwide, renewable energy adoption, waste reduction, project-based learning. Key challenges financial constraints, cultural resistance, skill gaps are addressed through solutions public-private partnerships, bonds, adaptive curricula. The concludes policy recommendations for incentivizing infrastructure, developing global research networks, KPIs.

Язык: Английский

Процитировано

0

Adaptive human-computer interaction for industry 5.0: A novel concept, with comprehensive review and empirical validation DOI Creative Commons

Rania Hamdani,

Inès Chihi

Computers in Industry, Год журнала: 2025, Номер 168, С. 104268 - 104268

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0