Results 281 to 290 of about 1,327,268 (327)

Comparative evaluation of noninvasive DNA sampling and line transect surveys for spring density estimation of black grouse and capercaillie

open access: yesWildlife Biology, EarlyView.
Reliable abundance estimates provide essential information in ecology, conservation and management of many wild grouse populations. In this 3‐year study, we comparatively evaluate the suitability of traditional line transect distance sampling of flushed birds versus a spatial capture–recapture survey with noninvasive DNA samples for individual ...
Henrik Brøseth   +2 more
wiley   +1 more source

PId in building control and automation

open access: green, 2013
Valdemar Stenlund, Viking Flyhammar
openalex   +1 more source

AI‐enabled bumpless transfer control strategy for legged robot with hybrid energy storage system

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Designing Hybrid energy storage system (HESS) for a legged robot is significant to improve the motion performance and energy efficiency of the robot. However, switching between the driving mode and regenerative braking mode in the HESS may generate a torque bump, which has brought significant challenges to the stability of the robot locomotion.
Zhiwu Huang   +6 more
wiley   +1 more source

Antagonistic SnRK2 and PID kinases' action on auxin transport-mediated root gravitropism. [PDF]

open access: yesProc Natl Acad Sci U S A
Sheng F   +14 more
europepmc   +1 more source

A Survey on Reinforcement Learning for Optimal Decision‐Making and Control of Intelligent Vehicles

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Reinforcement learning (RL) has been widely studied as an efficient class of machine learning methods for adaptive optimal control under uncertainties. In recent years, the applications of RL in optimised decision‐making and motion control of intelligent vehicles have received increasing attention.
Yixing Lan   +5 more
wiley   +1 more source

Coevolutionary Neural Dynamics With Learnable Parameters for Nonconvex Optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Nonconvex optimisation plays a crucial role in science and industry. However, existing methods often encounter local optima or provide inferior solutions when solving nonconvex optimisation problems, lacking robustness in noise scenarios. To address these limitations, we aim to develop a robust, efficient and globally convergent solver for ...
Yipiao Chen   +3 more
wiley   +1 more source

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