Results 11 to 20 of about 6,745,347 (301)
Deep Regression Forests for Age Estimation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Age estimation from facial images is typically cast as a nonlinear regression problem. The main challenge of this problem is the facial feature space w.r.t. ages is heterogeneous, due to the large variation in facial appearance across different persons of the same age and the non-stationary property of aging patterns.
Wei Shen 0002 +5 more
openaire +4 more sources
대한환경공학회지, 2021 Introduction : Since the population increases and the industry develops, the demand for fossil fuels continues to increase, creating problems of energy resource depletions and accelerating global warming.
Heesoo Lee, Seong-Rin Lim
doaj +1 more source
Mapping global forest age from forest inventories, biomass and climate data [PDF]
Earth System Science Data, 2021 Forest age can determine the capacity of a forest to uptake carbon from the atmosphere. However, a lack of global diagnostics that reflect the forest stage and associated disturbance regimes hampers the quantification of age-related differences in forest
S. Besnard +17 more
doaj +1 more source
Journal of Advances in Modeling Earth Systems, 2020 Vegetation carbon stock (Cveg) in global forests, which is important for C cycle‐climate feedbacks, commonly increases with forest age. Due to the allometric growth of plants, the nonlinear increase in Cveg with woody fraction (fw) is expected across ...
Chen Zhu, Jianyang Xia
doaj +1 more source
Deep Differentiable Random Forests for Age Estimation [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Accepted by TPAMI.
Wei Shen 0002 +5 more
openaire +4 more sources
Monitoring of forest ecosystems in Ireland : FOREM 9 project : final report [PDF]
, 2004 Intensive monitoring has been carried out under EC Regulation 3528/86 (project number 8860 IR 001.0) at Ballyhooly, Co. Cork since 1988. In 1991, three new plots (Roundwood, Cloosh and Brackloon) were established (9060IR0030) to give a more ...
Boyle, Gillian M., Farrell, E. P.
core +1 more source
Thirty-meter map of young forest age in China [PDF]
Earth System Science Data, 2023 Young forest age mapping at a fine spatial resolution is important for increasing the accuracy of estimating land–atmosphere carbon fluxes and guiding forest management practices.
Y. Xiao +4 more
doaj +1 more source
FIRE DISTURBANCE PATTERNS AND FOREST AGE STRUCTURE
Natural Resource Modeling, 2001 ABSTRACT. This paper investigates how the stability of forest age‐distribution is related to the fire regimes. We start with the derivation of theoreticalnegative exponentialforest age‐distribution, and use three models to explore the condition with which a stable age‐distribution could be expected. The results suggested that a stable age‐distribution
Li, Chao, Barclay, Hugh J.
openaire +1 more source
Frontiers in Plant ScienceStudying key leaf functional traits is crucial for understanding plant resource utilization strategies and growth. To explore the patterns and driving factors of key leaf functional traits in forests along elevational gradients under global change, we ...
Xing Zhang +4 more
doaj +1 more source
Hniezdna početnosť a biotopové vzťahy holuba plúžika (Columba oenas) v západnej časti Cerovej vrchoviny (J Slovensko) / Breeding abundance and habitat associations of the Stock Dove (Columba oenas) in the western part of the Cerová vrchovina Mts. (S Slovakia) [PDF]
Tichodroma, 2016 To assess Stock Dove breeding abundance and habitat associations, we mapped calling males in the western part of the Cerová vrchovina Mts. (61 km2 ) during 2016.
Marian MOJŽIŠ, Benjamín JARČUŠKA
doaj