AIMC Topic: Environment
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Can artificial intelligence improve enterprise environmental performance: Evidence from China.
Journal of environmental management
Oct 28, 2024
Artificial intelligence needs to be embraced urgently by enterprises as a means to achieve green development and address the efficiency quagmire in the context of green, low-carbon and sustainable development. To estimate a corporation's pioneering p...
Explainable AI and optimized solar power generation forecasting model based on environmental conditions.
PloS one
Oct 2, 2024
This paper proposes a model called X-LSTM-EO, which integrates explainable artificial intelligence (XAI), long short-term memory (LSTM), and equilibrium optimizer (EO) to reliably forecast solar power generation. The LSTM component forecasts power ge...
Leaf rolling detection in maize under complex environments using an improved deep learning method.
Plant molecular biology
Aug 23, 2024
Leaf rolling is a common adaptive response that plants have evolved to counteract the detrimental effects of various environmental stresses. Gaining insight into the mechanisms underlying leaf rolling alterations presents researchers with a unique op...
Coping with the tale of natural resources and environmental inequality: an application of the machine learning tools.
Environmental science and pollution research international
Aug 20, 2024
With the rising momentum according to the environmentalist voices seeking climate justice for more equity and the importance of encouraging environmental justice mechanisms and tools, in this perspective, the objective of this study is to analyze in ...
The environmental impact of AI in the lab: a double-edged sword?
BioTechniques
Jul 31, 2024
Computational tools, particularly AI, are becoming more ubiquitous in scientific research; but what impact do they have on the environment?[Formula: see text].
Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials.
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
Jul 23, 2024
Incorporating feature-engineered environmental data into machine learning-based genomic prediction models is an efficient approach to indirectly model genotype-by-environment interactions. Complementing phenotypic traits and molecular markers with hi...
Analyzing intelligent tourism development and public services based on a fuzzy genetic hybrid system to promote environmental and cultural values.
PloS one
Jul 9, 2024
Environmental, cultural, and public service-dependent factors encourage the development of a country's tourism. In recent years, automated tourism development using statistical and accumulated data has been exploited to recommend attractive tourist f...
Artificial intelligence detects awareness of functional relation with the environment in 3 month old babies.
Scientific reports
Jul 6, 2024
A recent experiment probed how purposeful action emerges in early life by manipulating infants' functional connection to an object in the environment (i.e., tethering an infant's foot to a colorful mobile). Vicon motion capture data from multiple inf...
[The environmental impact of digital technology and artificial intelligence, in the era of digital pathology].
Annales de pathologie
Jun 26, 2024
While digitization and artificial intelligence represent the future of our specialty, future is also constrained by global warming and overstepping of planetary limits, threatening human health and the functioning of the healthcare system. The report...
Machine learning-based life cycle assessment for environmental sustainability optimization of a food supply chain.
Integrated environmental assessment and management
Jun 14, 2024
Effective resource allocation in the agri-food sector is essential in mitigating environmental impacts and moving toward circular food supply chains. The potential of integrating life cycle assessment (LCA) with machine learning has been highlighted ...
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