Results 141 to 150 of about 24,552,576 (279)

A Novel Evidence-Based Framework for Picture Fuzzy Sets: Theory and Applications of Belief and Plausibility. [PDF]

Entropy (Basel)
Hussain R, Hussain Z, Ali M, Przybyła-Kasperek M.   +3 more
europepmc   +1 more source

Fuzzy fault diagnostic system based on fault tree analysis

Fuzzy fault diagnostic system based on fault tree analysis
A method is presented for process fault diagnosis using information from fault tree analysis and uncertainty/imprecision of data. Fault tree analysis, which has been used as a method of system reliability/safety analysis, provides a procedure for identifying failures within a process.
openaire   +1 more source

Improved Cerrado Wetland Mapping Through Seasonal Moisture Metrics, Terrain Information and Semantic Segmentation

Remote Sensing in Ecology and Conservation, EarlyView.
Brazil's Cerrado valley wetlands—swamp savanna and gallery forest—are highly important for the biome's water cycle and carbon storage and are susceptible to degradation from the impacts of land use expansion and the climate crisis. In support of their detailed monitoring and assessment, we developed and tested a transferable mapping approach that ...
Felix Beer, Hugo do Nascimento Bendini, Mateus de Souza Miranda, Vu‐Dong Pham, Leila Maria Garcia Fonseca, Cássia Beatriz Rodrigues Munhoz, Sebastian van der Linden   +6 more
wiley   +1 more source

Dual-View Complementary Multiscale Entropy Fusion for Rotating-Machinery Fault Diagnosis. [PDF]

Entropy (Basel)
Xiao W, Zhang Y, Xu R.
europepmc   +1 more source

Citizen Science for Individual Identification of Pine Martens Martes martes From Camera Trap Footage

Remote Sensing in Ecology and Conservation, EarlyView.
Camera traps generate large volumes of wildlife footage, but identifying animals to the individual level remains challenging and time‐consuming. Using European pine martens in the Forest of Dean as a case study, we assessed whether citizen scientists could identify individuals from camera trap photos and videos.
Sian E. Green, Philip A. Stephens, Josie Bridges, Catherine M. McNicol, Russell A. Hill   +4 more
wiley   +1 more source

A Testability Strategy Optimization Method Under Multi-Valued Dependency Condition Based on Deep Reinforcement Learning. [PDF]

Entropy (Basel)
Zhang C, Zhang Y, Wang F, Su X, Dong Z, Zuo L.   +5 more
europepmc   +1 more source

Few Annotations, High Accuracy: Transfer Learning and Data Augmentation Improve Passive Acoustic Monitoring of the Vulnerable African Manatee

Remote Sensing in Ecology and Conservation, EarlyView.
Can deep learning reliably detect a threatened species in passive acoustic monitoring with few annotations? Across 52 sites and 600 recording days, we compared two deep learning recognizers with the traditional machine learning Kaleidoscope for detecting African manatee vocalizations.
Lucas Dubus, Auguste Verdier, Nina Giotto, Grace Mbemba, Gabriel Michelin, Baptiste Mulot, Stéphanie Manel, David Mouillot   +7 more
wiley   +1 more source

A novel approach to managing uncertainty in risk assessment using integrated z-numbers and intuitionistic fuzzy sets: A case study on LPG spherical tanks. [PDF]

PLoS One
Aliabadi MM, Ahmadi Moshiran V, Kalatpour O, Ahmadi O.   +3 more
europepmc   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

Wind Turbine Blade Fault Diagnosis Integrating Multi-Scale Enhanced Hierarchical Fuzzy Entropy, Isolation Forest and GWO-GRU. [PDF]

Entropy (Basel)
Wang M, Zhang XF, Qin GJ, Liu M.
europepmc   +1 more source