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How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?

Advanced Science, EarlyView.
This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization.
Pengyuan Shen, Xiaoni Gao, Shuai Lu, Yi Zhang, Xing Zheng, Matthaios Santamouris   +5 more
wiley   +1 more source

The Response of <i>Krascheninnikovia ceratoides</i> (L.) Gueldenst. to Environmental Changes Since the Mid-Holocene in the Tibetan Antelope Breeding Ground of the Western Kunlun Mountains. [PDF]

Ecol Evol
Huang K, Lai F, Chen M, Song Y, Chen S, Wubuaysan Z, Zhuang X.   +6 more
europepmc   +1 more source

Population decline, potential habitat shifts, and growth reduction of the endangered tree fern Sphaeropteris lepifera in response to changing canopy density. [PDF]

Sci Rep
Ma X, Lu X, Wang H, Hu Q, Qian R, Hu Y, Zhang X, Zheng J.   +7 more
europepmc   +1 more source

The development and implementation of odd-exponential-ailamujia distribution in python: properties and application in reliability engineering. [PDF]

Sci Rep
Alballa T, Ramzan Q, Amin M, Almutairi M, El-Wahed Khalifa HA.   +4 more
europepmc   +1 more source

Innovative statistical method for longitudinal and hierarchical data modeling: the GMEXGBoost method. [PDF]

BMC Med Res Methodol
Asadi F, Homayounfar R, Mehrali Y, Masci C, Zayeri F.   +4 more
europepmc   +1 more source

Nonlinear Responses of Phytoplankton Communities to Environmental Drivers in a Tourist-Impacted Coastal Zone: A GAMs-Based Study of Beihai Silver Beach. [PDF]

Biology (Basel)
Cheng D, Chen X, Chen Y, Zhu F, Qiao Y, Zhang L, Dang E.   +6 more
europepmc   +1 more source

Minimum sample size determination for generalized extreme value distribution.

, 2011
openaire   +1 more source

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New generalized extreme value distribution with applications to extreme temperature data

Environmetrics, 2023
AbstractA new generalization of the extreme value distribution is presented with its density function, having a wide variety of density and tail shapes for modeling extreme value data. This generalized extreme value distribution will be referred to as the odd generalized extreme value distribution.
Wilson Gyasi, Kahadawala Cooray
openaire   +1 more source

General Extreme Value Distribution

2021
The General Extreme Value (GEV) distribution is the general solution, found by Jenkinson (1955), to the Stability Postulate that all the extremes must comply with. The GEV distribution has been under study since 1955 and it has experienced a growing acceptance by the practicing engineers and scientists as computing devices have improved every single ...
openaire   +1 more source