Results 101 to 110 of about 20,583 (298)

Innovating for Net‐Zero: Collaborative and Digital Decarbonisation Strategies in Sunset Industries' Global Value Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT Global net‐zero ambitions require transformative strategies to decarbonise carbon‐intensive global value chains (GVCs). This study examines how multinational enterprises (MNEs) in sunset industries integrate carbon capture technologies (CCT) with operational and supply chain dynamics (OSCD) to advance decarbonisation.
Muhammad Mustafa Kamal, Narain Gupta, Ashem Emmanuel Egila, Jianwen Zheng, Attique ur Rehman, Justin Zuopeng Zhang, Remsei Sándor   +6 more
wiley   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Artificial intelligence in clinical physiology: System-wise applications in diagnostics, monitoring, and medical education

Journal of Family Medicine and Primary Care
Background: Artificial Intelligence (AI) is gradually revolutionizing clinical physiology by enhancing diagnostic capabilities, fostering real-time monitoring, and enabling personalized medical education.
Chetna Chhabra, Rohit Saroha, Muneeb Kosvi, Soni Singh, Vijay Swarup Gautam, Prabha Kumari   +5 more
doaj   +1 more source

Artificial Intelligence Tools for Carbon Nanotube Research: Opportunities From Synthesis to Applications

Carbon and Hydrogen, EarlyView.
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao, Fei Wang, Qixuan Cai, Aike Xi, Kangkang Wang, Khaixien Leu, Rufan Zhang   +6 more
wiley   +1 more source

Artificial Intelligence and Liability: Exploring Legal Challenges and Responsibility in AI Decision-Making and Autonomous Systems

Цифровое право
The rapid integration of artificial intelligence (AI) across a wide range of economic sectors, including transportation, healthcare, and finance, has significantly transformed decision-making processes and operational efficiency.
K. O. Afuwape
doaj   +1 more source

Predict XAI

International Research Journal of Innovations in Engineering and Technology
Stroke predictors using Explainable Artificial Intelligence (XAI) aim to provide accurate and interpretable stroke risk predictions. This research integrates machine learning models such as Decision Trees, Random Forest, Logistic Regression, and Support Vector Machines, leveraging ensemble learning techniques like stacking and voting to enhance ...
Prof. Ankush Hutke, Kiran Sahu, Ameet Mishra, Aniruddha Sawant, Ruchitha Gowda   +4 more
openaire   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Strategic Prioritization of Environmental, Social, and Governance Goals: A Data‐Driven Efficiency Framework

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Organizations are increasingly required to integrate environmental, social, and governance (ESG) objectives alongside operational performance, yet empirical guidance on how firms should prioritize among ESG activities under resource constraints remains limited.
Minyoung Choi, Sangjin Park, Jae‐Suk Yang   +2 more
wiley   +1 more source

/xai/xai School; Excellent Group Shot (Majority Ju Students) 2

, 1980
/xai/xai ...
Lee, Richard B.
core   +1 more source

The rollout of paediatric dolutegravir and virological outcomes among children living with HIV in Mozambique

Southern African Journal of HIV Medicine
Background: In 2022, Mozambique introduced Dolutegravir 10mg (pDTG), as part of paediatric antiretroviral therapy for children weighing 20 kg. Understanding real-world challenges during national rollout can strengthen health systems in resource-limited ...
Ivete Meque, Nicole Herrera, Amâncio Nhangave, Dórcia Mandlate, Rui Guilaze, Ana Tambo, Abdul Mussa, Nilesh Bhatt, Michelle M. Gill   +8 more
doaj   +1 more source