Results 31 to 40 of about 1,190 (229)

Controllers (Expert Accountants) and Technologies: Artificial Intelligence and Explainable Artificial Intelligence

CECCAR Business Review
The demands of controlling when meeting cutting-edge technology are quite high given its underlying principles, its prospective character, flexibility, but also the desire for transparency, ethics, and responsibility.
Luana COSĂCESCU
doaj   +1 more source

Generative AI for Sustainable Smart Environments: A Review of Energy Systems, Buildings, and User-Centric Decision-Making

Energies
The rapid evolution of Generative Artificial Intelligence (GenAI) is reshaping the energy sector, enabling new levels of adaptability, efficiency, and user-centric interaction.
Dimitrios Vamvakas, Ioannis Papaioannou, Christos Tsaknakis, Thomas Sgouros, Christos Korkas   +4 more
doaj   +1 more source

“Not a Single Leaf Is Meant to be Taken With You”: Conservation Motivations and Belief Systems in a Khasi Sacred Landscape of Meghalaya, India “一片叶子都不许带走”:印度梅加拉亚邦卡西族神圣景观中的保护动机与信仰体系

Integrative Conservation, EarlyView.
This study examines the Mawphlang Sacred Forest in Meghalaya as a culturally embedded model of community‐led conservation. Drawing on qualitative fieldwork, it highlights how spiritual reverence, sacred taboos, and ancestral authority shape ecological stewardship, complementing formal governance systems.
Mrinal Saikia
wiley   +1 more source

Trust in high-reliability organizations [PDF]

, 2009
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence
Schöbel, Markus
core   +1 more source

Beyond the Metrics: Context‐Aware Calibration for Better Drain Flow Modelling

Irrigation and Drainage, EarlyView.
ABSTRACT Robust hydrological and water quality modelling is essential for advancing the understanding and management of engineered agricultural subsurface drainage systems. Achieving credible model output hinges on calibration strategies that are both rigorous and context sensitive. At the field scale, accurately capturing the dynamics of nutrient load
R. Caleb Bruhn, Anamelechi Falasy, Richard A. C. Cooke, Rabin Bhattarai   +3 more
wiley   +1 more source

Empowering medical students with AI writing co-pilots: design and validation of AI self-assessment toolkit

BMC Medical Education
Background and objectives Assessing and improving academic writing skills is a crucial component of higher education. To support students in this endeavor, a comprehensive self-assessment toolkit was developed to provide personalized feedback and guide ...
Laleh Khojasteh, Reza Kafipour, Farhad Pakdel, Jayakaran Mukundan   +3 more
doaj   +1 more source

Investigating the effects of AI-assisted teacher instruction on online IELTS writing

Social Sciences and Humanities Open
This study investigated the potential of AI-assisted teachers using an AI Copilot to improve IELTS writing task 2 instruction in online learning environments.
Marjan Asadi, Saman Ebadi, Ahmed Rawdhan Salman, Rana Taheri, Laleh Mohammadi   +4 more
doaj   +1 more source

Copilot: monitoring embedded systems [PDF]

Innovations in Systems and Software Engineering, 2013
Runtime verification (RV) is a natural fit for ultra-critical systems that require correct software behavior. Due to the low reliability of commodity hardware and the adversity of operational environments, it is common in ultra-critical systems to replicate processing units (and their hosted software) and incorporate fault-tolerant algorithms to ...
Pike, Lee, Wegmann, Nis, Niller, Sebastian, Goodloe, Alwyn   +3 more
openaire   +2 more sources

A Pilot Study on the Accuracy of Large Language Models (ChatGPT, Google Bard, and Microsoft Copilot) for Selecting the Correct Modality for Musculoskeletal Clinical Cases According to the ACR's Appropriateness Criteria

iRADIOLOGY, EarlyView.
In this paper we demonstrate that AI models can determine the most appropriate imagining modality for a given musculoskeletal clinical scenario in up to 89% of cases, with some models outperforming others. ABSTRACT Background Large language models (LLMs) are becoming more commonly used in many aspects of radiology.
Thomas Saliba, Patrick Omoumi, Grammatina Boitsios   +2 more
wiley   +1 more source

Smarter Crowdsourcing With NLP and Attention Mechanisms for Task Complexity Prediction

IEEE Access
Competitive Crowdsourcing Software Development (CCSD) has emerged as a powerful tool for developing software solutions, attracting researchers and the development market. Using crowdsourced collective intelligence, CCSD ensures the delivery of innovative,
Yasir Munir, Qasim Umer, Muhammad Waheed Aslam, Muhammad Faheem, Hanadi Hakami   +4 more
doaj   +1 more source