From accurate AI to sustainable AI: A lifecycle computational framework for resource-efficient, explainable, and trustworthy artificial intelligence in energy systems
提出能源系统可持续AI的全生命周期计算框架，超越以准确率为中心的评价。
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#可持续AI
沿着“可持续AI”继续探索，共 1 条内容。
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没有这个标签，内容接近AI For Sustainable Development Opportunities & Innovation
综述AI在可持续发展各领域的机会与创新路径，并强调负责任AI的治理要求。
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Artificial Intelligence for Environmental Monitoring and Sustainable Development
探讨AI在环境监测与可持续发展中的作用，聚焦尼日利亚，涵盖遥感、水质、废物管理等应用。
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Explainable Multidisciplinary Artificial Intelligence for Sustainable Innovation and Intelligent Decision-Making Across Emerging Research Domains
提出可解释多学科AI框架，融合预测、XAI与多准则决策支持可持续决策。
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Artificial intelligence for sustainable and resilient infrastructure systems: a review of innovations across energy, water, transportation, and urban development
系统综述AI在能源、水、交通与城市基础设施可持续与韧性方面的应用与挑战。
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Deep learning for sustainable development: cross-disciplinary applications and responsible AI
系统综述深度学习在气候、能源、农业和城市领域的SDG应用，并提出负责任AI优化路径。
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Artificial Intelligence for Environmental Sustainability and Climate Change Mitigation: Recent Advances, Challenges, and Future Perspectives
综述AI在气候变化缓解与环境可持续领域的应用进展、挑战与未来方向。
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Artificial Intelligence, Machine Learning, and Deep Learning Concepts, Methods, and Real-World Impact
系统综述AI、机器学习与深度学习的概念、方法、应用及伦理挑战。
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Next-Generation Deep Learning: A Comprehensive Survey on Explainable, Efficient, Privacy-Preserving and Multimodal Artificial Intelligence
综述可解释、高效、隐私保护、绿色与多模态五大深度学习方向，提出能力导向分类框架。
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