Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 17, 2024
Language: Английский
Procedia Computer Science, Journal Year: 2025, Volume and Issue: 253, P. 2929 - 2940
Published: Jan. 1, 2025
Language: Английский
Citations
1
Nano TransMed, Journal Year: 2024, Volume and Issue: 3, P. 100041 - 100041
Published: July 9, 2024
Artificial Intelligence (AI) and Nanotechnology are two cutting-edge fields that hold immense promise for revolutionizing various aspects of science, technology, everyday life. This review delves into the intersection these disciplines, highlighting synergistic relationship between AI Nanotechnology. It explores how techniques such as machine learning, deep neural networks being employed to enhance efficiency, precision, scalability nanotechnology applications. Furthermore, it discusses challenges, opportunities, future prospects integrating with nanotechnology, paving way transformative advancements in diverse domains ranging from healthcare materials science environmental sustainability beyond.
Language: Английский
Citations
8
International Journal of Environmental Research, Journal Year: 2024, Volume and Issue: 19(1)
Published: Oct. 24, 2024
Abstract This study aims to explore the application of artificial intelligence (AI) in resolution sustainability challenges, with a specific focus on environmental studies. Given rapidly evolving nature this field, there is an urgent need for more frequent and dynamic reviews keep pace innovative applications AI. Through systematic analysis 191 research articles, we classified AI techniques applied field sustainability. Our review found that 65% studies supervised learning methods, 18% employed unsupervised learning, 17% utilized reinforcement approaches. The highlights neural networks (ANN), are most commonly contexts, accounting 23% reviewed methods. comprehensive overview identifies key trends proposes new avenues address complex issue achieving Sustainable Development Goals (SDGs). Graphic abstract
Language: Английский
Citations
5
Business Process Management Journal, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 8, 2025
Purpose This article aims to delve into the connections between DNA, cultural intelligence (CQ) and knowledge dynamics (KD) as native ingredients of global mindset multicultural managers leaders. Cognitive science management researchers show that business process decision-making is not entirely rational, based on explicit knowledge. They depend emotional spiritual fields capacity integrate those intelligence. Most studies managerial competencies educational components. The literature usually addresses developing through programs leaves a gap concerning their ingredients. Design/methodology/approach We designed an integrated research approach containing critical review, supported by bibliometric analysis using VOSviewer quantitative derived from questionnaires statistical processing SPSS, version 28. Based variant 1.6.20, used understand intricate correlation CQ KD, while rooted in questionnaire’s results sample 101 with cross-cultural experience. Findings reveals DNA diversity can play notable role vector predictor KD. demonstrate connection geo-genetic diversity, ability be effective environments. Furthermore, study highlights impact dynamics, revealing how variations transfer transformation within sociocultural contexts—with implications for organizational behavior management. Research limitations/implications may encounter limitations establishing direct unique causal relationship complex interplay various factors, such individual experiences, social environment education, could influence interpretations findings. Additionally, generalizing across diverse populations would challenging due potential ethnic geographic genetic contexts (Alexander et al. , 2021). Also, future research, we reverse measure self-reported before test order avoid any bias or extended perception. Business strongly nonlinear more models should developed reveal inner correlations main constructs. Practical extends beyond academia practical domains behavior, leadership, sustainable processes. Acknowledging these phenomena encourages further inquiry, prompting scholars practitioners investigate organization’s concrete ways increase creativity innovation, adaptability resilience toward successful navigation international inclusion mindset. Social Comprehending underpinnings has fields, communication even policy-making. By acknowledging harnessing domains, aim create inclusive opportunity-rich environments foster intercultural learning cooperation. also generate approaches flexibility, continuous adaptation. Originality/value Previous mainly concentrated environmental factors acting KD; however, this focused uncovering DNA’s concepts topics. originality lies conventional views KD introducing differences. Recognizing roots paper emphasizes values like respect culture historical background, understanding others' values, inclusion, agilely adapting. These vectors are foundation modern processes
Language: Английский
Citations
0
Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)
Published: Feb. 14, 2025
Language: Английский
Citations
0
Procedia Computer Science, Journal Year: 2025, Volume and Issue: 253, P. 1012 - 1023
Published: Jan. 1, 2025
Language: Английский
Citations
0
Procedia Computer Science, Journal Year: 2025, Volume and Issue: 253, P. 357 - 373
Published: Jan. 1, 2025
Language: Английский
Citations
0
Procedia Computer Science, Journal Year: 2025, Volume and Issue: 253, P. 2522 - 2536
Published: Jan. 1, 2025
Language: Английский
Citations
0
Oxford University Press eBooks, Journal Year: 2025, Volume and Issue: unknown
Published: March 18, 2025
Abstract If “data is the new oil,” then corruption in data used to train artificial intelligence (AI) constitutes a form of pollution. Environmental AI has traditionally been discussed terms its indirect effects on environment—the irony burning power, processor cycles, and heat produce solutions stop heal environmental damage. But there deeper problem. When suggests interventions, outputs are written onto landscape. that landscape read as retrain AI, risk model collapse catastrophic forgetting, snake devours own tail. This article discusses difficulty fit between current legal regimes governing use space further details problems context AI.
Language: Английский
Citations
0
Agronomy, Journal Year: 2025, Volume and Issue: 15(5), P. 1074 - 1074
Published: April 28, 2025
Traditional horticultural information systems lack fine-grained, transparent on-farm event traceability, often providing only high-level post-harvest summaries. These also fail to standardise and integrate diverse data sources, ensure privacy, scale effectively meet the demands of modern agriculture. Concurrently, rising requirements for global environmental, social, governance (ESG) compliance, notably Scope 3 emissions reporting, are driving need farm-level visibility. To address these gaps, this study proposes a novel traceability framework tailored horticulture, leveraging standards. The system captures key events (e.g., irrigation, harvesting, chemical applications) at varied resolutions, using decentralised identification, secure data-sharing protocols, farmer-controlled access. Built on progressive Web application with microservice-enabled cloud infrastructure, platform integrates dynamic APIs digital links connect operations external supply chains, resolving bottlenecks. Initial testing Victorian farms demonstrates its scalability potential. Pilot studies further validate interoperability support sustainability claims through digitally verifiable credentials an international export case study. provides tested baseline integrating from emerging technologies, such as farm robotics twins, potential broader across agricultural commodities.
Language: Английский
Citations
0