Revolutionizing Scientific Research DOI
Andi Asrifan, Sajed Ingilan

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 1 - 24

Опубликована: Апрель 24, 2025

This chapter analyzes the transformative impact of artificial intelligence (AI) and metaverse on contemporary scientific study. It emphasizes how AI improves data analysis, allowing researchers to quickly examine extensive datasets extract previously challenging insights. in promotes collaborative settings, enabling academics participate real-time exchanges interdisciplinary initiatives. collaboration enhances research methods fosters innovation originality exploration. The examines ethical ramifications modern technologies, underscoring necessity for responsible management study integrity. As advance, they are poised transform study, presenting novel opportunities difficulties scholars. Adopting these developments will be essential tackling intricate worldwide challenges furthering understanding diverse domains.

Язык: Английский

Examining the application of strategic management and artificial intelligence, with a focus on artificial neural network modeling to enhance human resource optimization with advertising and brand campaigns DOI

Cao Ruoxing,

Wang Jian-ning,

Ali Basem

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 143, С. 110029 - 110029

Опубликована: Янв. 21, 2025

Язык: Английский

Процитировано

0

Sustainability and Ethical Tourism in the Digital Age DOI
Rishikaysh Kaakandikar,

Yogesh S. Patel,

Laxman Kumar Tripathy

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 123 - 162

Опубликована: Март 12, 2025

This paper explores the transformative role of Artificial Intelligence (AI) and Metaverse in promoting sustainability ethical practices tourism industry. As digital technologies advance, AI immersive virtual environments are reshaping by offering new ways to engage, educate, manage travel experiences while reducing environmental impact. AI-driven insights enable sustainable resource management, predictive analytics for tourist behaviors, personalized experiences, encouraging responsible choices. The allows tourism, ecological footprint associated with travel, provides an framework engaging indigenous communities heritage sites a respectful, non-intrusive manner. examines these technologies' potential drive eco-friendly socially emphasizing need guidelines safeguard cultural integrity sustainability.

Язык: Английский

Процитировано

0

Intelligent Transportation Systems and Applications’ Bibliometrix Analysis via Data Mining DOI Open Access
Kadir KESGİN, Dilek Zeren Özer

Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, Год журнала: 2025, Номер 8(1), С. 184 - 203

Опубликована: Март 19, 2025

This study conducts a bibliometric analysis of Intelligent Transportation Systems (ITS) research, using data from Web Science (WoS), Scopus, and TR Dizin covering 2015–2024. The reveals 440% increase in annual publications, driven by advancements artificial intelligence (AI), the Internet Things (IoT), sustainability-focused technologies. Dominant research themes include IoT, machine learning, smart city solutions, with sustainability-related topics such as eco-routing renewable energy integration gaining prominence. Geographic identifies India, China, United States leading contributors, while emerging economies like Turkey South Korea are expanding their footprints. Collaboration networks highlight interdisciplinary international partnerships, key hubs including MIT, Tsinghua University, Delft University Technology. Machine learning models predict steady growth ITS projecting approximately 950 outputs 2026. Despite progress, challenges remain, ethical concerns around autonomous vehicles, infrastructure integration, lack user-centric designs. emphasizes critical role addressing global transportation challenges, providing actionable insights for researchers, policymakers, industry stakeholders to advance sustainable, efficient, equitable mobility systems.

Язык: Английский

Процитировано

0

Revolutionizing Scientific Research DOI
Andi Asrifan, Sajed Ingilan

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 1 - 24

Опубликована: Апрель 24, 2025

This chapter analyzes the transformative impact of artificial intelligence (AI) and metaverse on contemporary scientific study. It emphasizes how AI improves data analysis, allowing researchers to quickly examine extensive datasets extract previously challenging insights. in promotes collaborative settings, enabling academics participate real-time exchanges interdisciplinary initiatives. collaboration enhances research methods fosters innovation originality exploration. The examines ethical ramifications modern technologies, underscoring necessity for responsible management study integrity. As advance, they are poised transform study, presenting novel opportunities difficulties scholars. Adopting these developments will be essential tackling intricate worldwide challenges furthering understanding diverse domains.

Язык: Английский

Процитировано

0