Results 101 to 110 of about 55,142 (282)

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

open access: yesBusiness 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   +6 more
wiley   +1 more source

Detecting Ineffective Efforts during Expiration for Neonates with Attention RNNs

open access: yesCurrent Directions in Biomedical Engineering
Patient-ventilator asynchronies occur during mechanical ventilation when there is a mismatch between the patient’s needs and the ventilator’s settings.
Oprea Camelia   +8 more
doaj   +1 more source

The asymptotics of group Russian roulette

open access: yes, 2017
We study the group Russian roulette problem, also known as the shooting problem, defined as follows. We have $n$ armed people in a room. At each chime of a clock, everyone shoots a random other person.
Kager, Wouter   +2 more
core   +1 more source

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

open access: yesBusiness 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   +3 more
wiley   +1 more source

Predict XAI

open access: yesInternational 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   +4 more
openaire   +1 more source

Functionalizing Conductive Diamond: Recent Advance in Fabrication, Modifications, and Applications

open access: yesCarbon Energy, EarlyView.
This review highlights recent advancements in the synthesis, modification, and electrochemical applications of conductive diamond, particularly boron‐doped diamond (BDD). It emphasizes progress in fabrication methods, including CVD and HPHT, and explores modifications such as doping, surface terminations, and composite design, enabling significant ...
Ning Linghu, Xin Jiang, Jing Xu
wiley   +1 more source

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

open access: yesThe 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   +3 more
wiley   +1 more source

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

open access: yesSouthern 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   +8 more
doaj   +1 more source

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

open access: yesCorporate 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   +2 more
wiley   +1 more source

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

open access: yesDeep Underground Science and Engineering, EarlyView.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi   +4 more
wiley   +1 more source

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