Results 251 to 260 of about 43,297 (342)

Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems

Remote Sensing in Ecology and Conservation, EarlyView.
We tested the effect of using a readily available deep learning algorithm for animal species classification on the population density estimates of eight wild mammal species in 10 protected areas (Da). In general, there were no significant differences to the manual estimates (Dm) for all animal species and seasons.
Maik Henrich, Christian Fiderer, Alisa Klamm, Anja Schneider, Axel Ballmann, Jürgen Stein, Raffael Kratzer, Rudolf Reiner, Sina Greiner, Sönke Twietmeyer, Tobias Rönitz, Volker Spicher, Simon Chamaillé‐Jammes, Vincent Miele, Gaspard Dussert, Marco Heurich   +15 more
wiley   +1 more source

Introducing the comparative weighting evaluation based on the best criteria method: a multi-fuzzy framework for aviation fuel efficiency. [PDF]

Sci Rep
Eti S, Karaman F, Yüksel S, Dinçer H, Yaylalı İ.   +4 more
europepmc   +1 more source

A class of ranking functions for triangular fuzzy numbers

, 1999
Gisella Facchinetti, Roberto Ricci
openalex   +1 more source

A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus

Remote Sensing in Ecology and Conservation, EarlyView.
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen, Yuyuan Bao, Ziwei Ying, Mujiao Xie, Ting Li, Jixing Zou, Jun Shi, Xiaoyong Xie   +7 more
wiley   +1 more source

Advancing sustainable aviation by integrating renewable solar energy into unconventional airport spaces using a spherical fuzzy CRITIC-RATGOS approach. [PDF]

Sci Rep
Mizrak F, Mizrak KC, Sahin DR.
europepmc   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
wiley   +1 more source

Ranking data privacy techniques in cloud computing based on Tamir's complex fuzzy Schweizer-Sklar aggregation approach. [PDF]

Sci Rep
Ahmmad J, El-Wahed Khalifa HA, Waqas HM, Alburaikan A, Radwan T.   +4 more
europepmc   +1 more source

Integration of MULTIMOORA algorithm combined with circular q-rung orthopair fuzzy information for optimizing player positioning. [PDF]

Sci Rep
Farhad A, Ullah K, Ali Z, Pamucar D.
europepmc   +1 more source

An Interval-valued intuitionistic Fuzzy group decision-making approach based on projection measurement extended VIKOR for patent quality evaluation. [PDF]

PLoS One
Xie X, Sathasivam S, Ma H.
europepmc   +1 more source

An interval-valued Pythagorean fuzzy TOPSIS approach for service quality evaluation of bike-sharing providers under uncertain environment. [PDF]

Sci Rep
Chai N, Chen Z, Zhou W, Zhang S.
europepmc   +1 more source