[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

[HTML][HTML] Algorithmic urban planning for smart and sustainable development: Systematic review of the literature

TH Son, Z Weedon, T Yigitcanlar, T Sanchez… - Sustainable Cities and …, 2023 - Elsevier
In recent years, artificial intelligence (AI) has been increasingly put into use to address cities'
economic, social, environmental, and governance challenges. Thanks to its advanced …

The mediating role of green innovation and green culture in the relationship between green human resource management and environmental performance

L Fang, S Shi, J Gao, X Li - Plos one, 2022 - journals.plos.org
There is evidence in the literature that green HRM practices improve environmental
profitability. On the other hand, existing research has failed to explain how GHRM can …

A systematic review of the flood vulnerability using geographic information system

SW Chan, SK Abid, N Sulaiman, U Nazir, K Azam - Heliyon, 2022 - cell.com
The world has faced many disasters in recent years, but flood impacts have gained immense
importance and attention due to their adverse effects. More than half of global flood …

Map** Industrial Influences on Earth's Ecology

JEM Watson, EC Ellis, R Pillay… - Annual Review of …, 2023 - annualreviews.org
As anthropogenic transformation of Earth's ecology accelerates, and its impacts on the
sustainability of humanity and the rest of nature become more obvious, geographers and …

[HTML][HTML] Technological innovations for enhancing disaster resilience in smart cities: a comprehensive urban Scholar's analysis

A Samarakkody, D Amaratunga, R Haigh - Sustainability, 2023 - mdpi.com
Despite advancements, Smart Cities encounter hazards. Smart Cities' higher reliance on
interconnected systems and networks makes them susceptible to risks beyond conventional …

On the emergence of geospatial cloud-based platforms for disaster risk management: A global scientometric review of google earth engine applications

M Waleed, M Sajjad - International journal of disaster risk reduction, 2023 - Elsevier
With the global upsurge in climatic extremes, disasters are causing significant damages.
While disaster risk management (DRM) is a serious global challenge, governments …

Manufacturing strategy 4.0: a framework to usher towards industry 4.0 implementation for digital transformation

V Dohale, P Verma, A Gunasekaran… - Industrial management & …, 2022 - emerald.com
Purpose The role of industry 4.0 (I4. 0) technologies for organizations to achieve a
competitive advantage and mitigate disruptive emergency situations are well exhibited in …

ChatGPT and the future of impact assessment

M Khan, MN Chaudhry, M Ahsan, R Ahmad - Environmental Science & …, 2024 - Elsevier
Like all other fields, Artificial Intelligence (AI) is expected to affect the Impact Assessment (IA)
systems worldwide. This study explores the opinions and concerns of international IA …

Transforming ground disaster response: Recent technological advances, challenges, and future trends for rapid and accurate real-world applications of survivor …

AJ Soto-Vergel, JC Velez, R Amaya-Mier… - International Journal of …, 2023 - Elsevier
Recent technological advancements, encompassing cutting-edge sensors, drones, and AI
systems, present novel prospects for enhancing survivor detection in disaster scenarios …