Results 81 to 90 of about 704,317 (311)
Advanced Intelligent Systems, EarlyView.Insect‐scale crawling robots can traverse confined environments; nevertheless, their functionalities are predominantly restricted to sensing because of challenges in integrating actuated degrees of freedom. Herein, a miniature rotary electrostatic clutch is presented by incorporating cutting patterns in the clutch layer.
Jongeun Lee +4 more
wiley +1 more source
Geomatics, Natural Hazards & Risk, 2020 Considering the critical importance of the quality of input data for landslide susceptibility, we investigate the performance improvements that can be achieved by different globally available digital elevation models (DEMs) using different state-of-the ...
Jonas Brock +5 more
doaj +1 more source
Fast approximation of visibility dominance using topographic features as targets and the associated uncertainty [PDF]
, 2003 An approach to reduce visibility index computation time andmeasure the associated uncertainty in terrain visibility analysesis presented. It is demonstrated that the visibility indexcomputation time in mountainous terrain can be reduced substantially ...
Rana, S
core +1 more source
Journal of Flood Risk Management, 2018 Digital elevation models (DEM) are fundamental for hydrologic and hydraulic modelling. Many practitioners rely on open‐access global data sets due to the cost and sparse coverage of sources of higher resolution.
L. Courty +2 more
semanticscholar +1 more source
Multimodal Locomotion of Soft Robots
Advanced Intelligent Systems, EarlyView.This review comprehensively surveys recent advances in multimodal locomotion within soft robotics. Typical locomotion modes are summarized and categorized. Furthermore, the underlying mechanisms enabling multimodal locomotion are discussed and classified into three primary categories: active control‐based, reconfiguration‐based, and environment ...
Zihao Yuan +4 more
wiley +1 more source
Virtual Archaeology Review, 2010 Archaeology has developed several theoretical and methodological perspectives with the application of the Geographical Information Systems (GIS), Digital Terrain Models (DTM), Virtual Reality (VR) and the 3D Modelling. In the spreading a gradual progress
Francisco Javier Marcos Sáiz
doaj +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Sensors, 2008 Projects focusing on spatio-temporal modelling of the living environment need to manage a wide range of terrain measurements, existing spatial data, time series, results of spatial analysis and inputs/outputs from numerical simulations.
Eva Gulikova +4 more
doaj
TGF: A New MATLAB-Based Software for Terrain-Related Gravity Field Calculations
Remote Sensing, 2020 With knowledge of geometry and density-distribution of topography, the residual terrain modelling (RTM) technique has been broadly applied in geodesy and geophysics for the determination of the high-frequency gravity field signals.
Meng Yang, Christian Hirt, Roland Pail
doaj +1 more source