Results 151 to 160 of about 1,964,601 (320)

Assessing the ability of a stretched‐grid deep‐learning weather prediction model to capture physical balances

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Regional deep learning weather prediction (DLWP) models, such as Bris, offer high resolution forecasts comparable with traditional numerical weather prediction (NWP) models. We evaluated Bris against the operational MetCoOp Ensemble Prediction System (MEPS) during extratropical cyclone Poly (July 5, 2023).
Francesco Pasquini, Michiel Baatsen, Bastien François, Natalie Theeuwes, Maurice Schmeits   +4 more
wiley   +1 more source

Stair‐Climbing Wheelchairs for Enhanced Mobility: A Comprehensive Review of Fundamental Mechanisms, Design Concepts, and Performance Analysis

Journal of Field Robotics, EarlyView.
ABSTRACT People with physical disabilities face significant mobility challenges while climbing uneven surfaces and staircases. In these circumstances, traditional wheelchairs do not provide stable, safely controlled mobility, underscoring the importance of building superior stair‐climbing wheelchairs for both medical and infrastructure purposes.
Gopisetti Manikanta, S. M. Abhinandan, Anand Reddy, G. Chandana, Divya, P. Anil Kumar, Ch. Venkata Rao, Ashish Garg, Ravi C. Soni, Jogendra Kumar, Bhargav Akkinepally   +10 more
wiley   +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

Drift‐Corrected Monocular VIO and Perception‐Aware Planning for Autonomous Drone Racing

Journal of Field Robotics, EarlyView.
ABSTRACT The Abu Dhabi Autonomous Racing League (A2RL) x Drone Champions League (DCL) competition requires teams to perform high‐speed autonomous drone racing using only a single camera and a low‐quality inertial measurement unit—a minimal sensor set that mirrors expert human drone racing pilots.
Maulana Bisyir Azhari, Donghun Han, Je In You, Sung Jun Park, David Hyunchul Shim   +4 more
wiley   +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

Interpretable Fault Diagnosis of Shearer Power-Core Cables from Sensor-Accessible Terminal Electrical Responses. [PDF]

Sensors (Basel)
Zhao L, Bu J, Jiang B, Wu T.
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

Uncertainty-Aware Contamination Detection in IoT Water Networks via Interval Type-2 Fuzzy Rare Itemset Mining. [PDF]

Sensors (Basel)
Mariadhason JS, Joseph ER, Srinivasan P, Francis RD.   +3 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 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