Optimization methods applied to motion planning of unmanned aerial vehicles: A review
A Israr, ZA Ali, EH Alkhammash, JJ Jussila - Drones, 2022 - mdpi.com
A system that can fly off and touches down to execute particular tasks is a flying robot.
Nowadays, these flying robots are capable of flying without human control and make …
Nowadays, these flying robots are capable of flying without human control and make …
Brain–machine interfaces using functional near-infrared spectroscopy: a review
Functional near-infrared spectroscopy (fNIRS) is a noninvasive method for acquiring
hemodynamic signals from the brain with advantages of portability, affordability, low …
hemodynamic signals from the brain with advantages of portability, affordability, low …
A dynamic optimal scheduling strategy for multi-charging scenarios of plug-in-electric vehicles over a smart grid
Green transportation has become our top priority due to the depletion of the earth's natural
resources and rising pollutant emission levels. Plug-in electric vehicles (PEVs) are seen as …
resources and rising pollutant emission levels. Plug-in electric vehicles (PEVs) are seen as …
[HTML][HTML] Detection of mild cognitive impairment using convolutional neural network: temporal-feature maps of functional near-infrared spectroscopy
Mild cognitive impairment (MCI) is the clinical precursor of Alzheimer's disease (AD), which
is considered the most common neurodegenerative disease in the elderly. Some MCI …
is considered the most common neurodegenerative disease in the elderly. Some MCI …
Acupuncture enhances brain function in patients with mild cognitive impairment: evidence from a functional-near infrared spectroscopy study
Mild cognitive impairment (MCI) is a precursor to Alzheimer's disease. It is imperative to
develop a proper treatment for this neurological disease in the aging society. This …
develop a proper treatment for this neurological disease in the aging society. This …
[HTML][HTML] Q-Learning based system for Path Planning with Unmanned Aerial Vehicles swarms in obstacle environments
Path Planning methods for the autonomous control of Unmanned Aerial Vehicle (UAV)
swarms are on the rise due to the numerous advantages they bring. There are increasingly …
swarms are on the rise due to the numerous advantages they bring. There are increasingly …
Quantitative assessment of resting-state for mild cognitive impairment detection: a functional near-infrared spectroscopy and deep learning approach
Background: Mild cognitive impairment (MCI) is considered a prodromal stage of
Alzheimer's disease. Early diagnosis of MCI can allow for treatment to improve cognitive …
Alzheimer's disease. Early diagnosis of MCI can allow for treatment to improve cognitive …
Model predictive path planning for an autonomous ground vehicle in rough terrain
J Shin, D Kwak, K Kwak - International Journal of Control, Automation and …, 2021 - Springer
An autonomous ground vehicle (AGV) in rough terrain typically experiences uncertain
environment. Because the uncertainty makes overall performance of autonomous navigation …
environment. Because the uncertainty makes overall performance of autonomous navigation …
Continuous integral sliding mode control of an offshore container crane with input saturation
GH Kim - International Journal of Control, Automation and …, 2020 - Springer
An offshore container crane is expected to realize high productivity and economic feasibility
in the maritime logistics due to its versatile functions for container transportation. However …
in the maritime logistics due to its versatile functions for container transportation. However …
Optimized magnetic field control of an electromagnetic actuation system for enhanced microrobot manipulation
This paper presents a novel magnetic field control method to enhance the performance in
terms of accuracy and field strength of underdetermined electromagnetic actuation systems …
terms of accuracy and field strength of underdetermined electromagnetic actuation systems …