Results 71 to 80 of about 9,063 (254)
Journal of Field Robotics, EarlyView.ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley +1 more source
Predicting the Longitudinal Dispersion Coefficient in Natural Streams Using Developed Artificial Neural Network Model [PDF]
آب و فاضلاب, 2011 The main objective of the present work is to predict the longitudinal dispersion coefficient in natural streams using a neural network (NN) model which was developed based on Quasi-Newton training functions.
Roohollah Noori +2 more
doaj
A quasi-Newton proximal splitting method
, 2012 A new result in convex analysis on the calculation of proximity operators in certain scaled norms is derived. We describe efficient implementations of the proximity calculation for a useful class of functions; the implementations exploit the piece-wise linear nature of the dual problem.
Becker, Stephen, Fadili, Jalal M.
openaire +4 more sources
Responsive Materials, EarlyView.Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Perched groundwater simulation using the picard iteration‐based always active cell method
River, EarlyView.Abstract Aquitards within the vadose zone impede vertical infiltration, leading to the formation of saturated perched groundwater. Perched groundwater flows laterally along aquitards, resulting in a heterogeneous spatial distribution of groundwater recharge that significantly influences groundwater formation and evolution.
Wen Lu +9 more
wiley +1 more source
Multi-order analytical solving computation of rainstorm causal decomposition during typhoons using a designed key-lock quasi-Newton optimizing derivation. [PDF]
Heliyon, 2023 Huang CL, Hsu NS, Yao CH, Lo WC.
europepmc +1 more source
Action constrained quasi-Newton methods
CoRR, 2014 At the heart of Newton based optimization methods is a sequence of symmetric linear systems. Each consecutive system in this sequence is similar to the next, so solving them separately is a waste of computational effort. Here we describe automatic preconditioning techniques for iterative methods for solving such sequences of systems by maintaining an ...
Robert Mansel Gower, Jacek Gondzio
openaire +2 more sources
Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
SmartBot, EarlyView.This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen +12 more
wiley +1 more source
IEEE AccessChannel estimation and extrapolation are key challenges in massive multiple-input multiple-output communications. In this paper, we propose a quasi-Newton-based joint multipath optimization approach called Quasi-Newton Orthogonal Matching Pursuit (QNOMP)
Yi Zeng +3 more
doaj +1 more source
Small, EarlyView.PiFM‐led investigation of material‐specific electrochemical aryl diazonium reduction on 2D transition metal dichalcogenide MoSe2‐WSe2 lateral heterostructure monolayers, with mechanisms explained by molecular dynamics simulations. ABSTRACT Understanding the molecular‐level mechanisms governing covalent functionalization of two‐dimensional ...
Maziar Jafari +5 more
wiley +1 more source