Results 51 to 60 of about 261,917 (292)

Forest Fires in Europe, Middle East and North Africa 2011 [PDF]

, 2012
This is the 12th “Forest Fires in Europe” report published by the European Commission. The area covered by the report has been enlarged to include also Middle East and North Africa countries, thus also the title of the report has been changed accordingly.
BOCA Roberto, CAMIA Andrea, CORTI PAOLO, DURRANT Tracy, LIBERTA' Giorgio, SAN-MIGUEL-AYANZ Jesus, SCHMUCK Guido, SCHULTE Ernst, WHITMORE Ceri James   +8 more
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Unveiling the Factors Responsible for Australia’s Black Summer Fires of 2019/2020

Fire, 2021
The summer season of 2019–2020 has been named Australia’s Black Summer because of the large forest fires that burnt for months in southeast Australia, affecting millions of Australia’s citizens and hundreds of millions of animals and capturing global ...
Noam Levin, Marta Yebra, Stuart Phinn
doaj   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

A STUDY ON LARGE FOREST FIRES IN 1985 IN TURKEY

Forestist, 1990
Tlıere are large forest fires in Turkey almost every year. This study involves large forest fires of Turkey in 1985. There had been mainly 7 large forest fires in that year which vvere located in four different Forest Regions, namely in Balıkesir ...
Ali KÜÇÜKOSMANOĞLU
doaj   +2 more sources

Forest Defender Fusion System for Early Detection of Forest Fires

Computers
In the past ten years, rates of forest fires around the world have increased significantly. Forest fires greatly affect the ecosystem by damaging vegetation. Forest fires are caused by several causes, including both human and natural causes. Human causes
Manar Khalid Ibraheem Ibraheem, Mbarka Belhaj Mohamed, Ahmed Fakhfakh   +2 more
doaj   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Pemodelan Spasial Arah Penyebaran Kebakaran Hutan Dengan Menggunakan Penginderaan Jauh Dan Sistem Informasi Geografis Di Taman Nasional Baluran Kabupaten Situbondo Provinsi Jawa Timur Bulan Oktober Tahun 2014 [PDF]

, 2015
Forest fires is one of the more common disorders. The negative impact caused by forest fires is large enough so that prevention since the beginning needs to be done in handling forest fires.
, Agus Anggoro Sigit, S.Si, M.Sc,, , Drs. Yuli Priyana, M.Si., Setyawan, Didik   +2 more
core  

Forest Fires in Europe 2009 [PDF]

, 2010
When huge parts of nature are burning as a result of a combination of weather conditions, fuel accumulation, and human intervention and this becomes a recurrent issue, we should find ways together to counteract.
BOCA Roberto, CAMIA Andrea, GIOVANDO Cristiano, LIBERTA' Giorgio, SAN-MIGUEL-AYANZ Jesus, SANTOS DE OLIVEIRA SANDRA, SCHMUCK Guido, SCHULTE Ernst, TRACY Durrant, WHITMORE Ceri   +9 more
core   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source