Results 41 to 50 of about 4,791,934 (244)

Integrated Forest Monitoring System for Early Fire Detection and Assessment

, 2019
This paper presents a novel system for automatic early detection of wild forest-fire using optical and thermal cameras at ground station and mounted on Unmanned Aerial Systems (UAS).
Loizou, Savvas, Papageorgiou, Xanthi, Georgiades, George P.   +2 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Research on Progress of Forest Fire Monitoring With Satellite Remote Sensing

Agricultural & Rural Studies, 2023
With satellite remote sensing technology blooming, satellite remote sensing has become a common tool to detect forest fires, and played an important role in forest fire monitoring.
Ying Zheng, Gui Zhang, Sanqing Tan, Lanbo Feng   +3 more
doaj  

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

Wireless sensor network for forest fire detection

Procedia Computer Science, 2020
Abstract Some methods for fire detection include monitoring from watch towers and the use of satellite images [1] [2]. Unfortunately, these are not efficient due to several reasons, such as high infrastructure costs (sophisticated equipment), the fact that they require a large number of trained personnel and that they make real-time monitoring ...
Noel Varela, Jorge Luis Díaz Martinez, Adalberto Ospino, Nelson Alberto Lizardo Zelaya   +3 more
openaire   +2 more sources

Additive neural network for forest fire detection [PDF]

Signal, Image and Video Processing, 2019
In this paper, we introduce a video-based wildfire detection scheme based on a computationally efficient additive deep neural network, which we call AddNet. This AddNet is based on a multiplication-free vector operator, which performs only addition and sign manipulation operations.
Hongyi Pan, Diaa Badawi, Xi Zhang, Ahmet Enis Çetin   +3 more
openaire   +2 more sources

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

Forest Fires and the Law:A Guide for National Drafters based on the Fire Management Voluntary Guidelines [PDF]

, 2009
Fire management is the discipline of using fire to achieve land management and traditional use objectives, while safeguarding life, property, and resources such as forests and other vegetation in rural areas.
Morgera, Elisa, Cirelli, Maria Teresa
core  

Bat response to differing fire severity in mixed-conifer forest California, USA [PDF]

, 2013
Wildlife response to natural disturbances such as fire is of conservation concern to managers, policy makers, and scientists, yet information is scant beyond a few well-studied groups (e.g., birds, small mammals).
Buchalski, M.R., Fontaine, J.B., Heady, P.A., Frick, W.F., Hayes, J.P., Hayes John P., Michael R Buchalski, John P Hayes, John P. Hayes (385775), Paul A Heady, Paul A. Heady III (385774), Winifred F. Frick (312941), Frick Winifred F., Winifred F Frick, Joseph B. Fontaine (385773), Buchalski Michael R., Joseph B Fontaine, Michael R. Buchalski (385772), Fontaine Joseph B., Heady Paul A.   +19 more
core   +1 more source

Biomass DNA: An Emerging Building Block for Advanced Materials

Advanced Materials, EarlyView.
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley   +1 more source