Search Results - "Powers, D. M. W."

Removal of EEG Noise and Artifact Using Blind Source Separation by Fitzgibbon, S P, Powers, D M. W, Pope, K J, Clark, C R

“…A study was performed to investigate and compare the relative performance of blind signal separation (BSS) algorithms at separating common types of…”
Get full text

Automatic determination of EMG-contaminated components and validation of independent component analysis using EEG during pharmacologic paralysis by Fitzgibbon, S.P, DeLosAngeles, D, Lewis, T.W, Powers, D.M.W, Grummett, T.S, Whitham, E.M, Ward, L.M, Willoughby, J.O, Pope, K.J

“…Highlights • We present a conceptually simple, spectral-based, heuristic to automatically identify independent components that are predominantly EMG. • Spectra…”
Get full text

Efficient AUV Path Planning in Time-Variant Underwater Environment Using Differential Evolution Algorithm by MahmoudZadeh, S., Powers, D. M. W, Yazdani, A. M., Sammut, K., Atyabi, A.

“…Robust and efficient AUV path planning is a key element for persistence AUV maneuvering in variable underwater environments. To develop such a path planning…”
Get full text

Measurement of neural signals from inexpensive, wireless and dry EEG systems by Grummett, T S, Leibbrandt, R E, Lewis, T W, DeLosAngeles, D, Powers, D M W, Willoughby, J O, Pope, K J, Fitzgibbon, S P

“…Electroencephalography (EEG) is challenged by high cost, immobility of equipment and the use of inconvenient conductive gels. We compared EEG recordings…”
Get more information

Surface Laplacian of Central Scalp Electrical Signals is Insensitive to Muscle Contamination by Fitzgibbon, Sean P., Lewis, Trent W., Powers, David M. W., Whitham, Emma W., Willoughby, John O., Pope, Kenneth J.

“…The objective of this paper was to investigate the effects of surface Laplacian processing on gross and persistent electromyographic (EMG) contamination of…”
Get full text

Surface Laplacian of scalp electrical signals and independent component analysis resolve EMG contamination of electroencephalogram by Fitzgibbon, S.P., DeLosAngeles, D., Lewis, T.W., Powers, D.M.W., Whitham, E.M., Willoughby, J.O., Pope, K.J.

“…The serious impact of electromyogram (EMG) contamination of electroencephalogram (EEG) is well recognised. The objective of this research is to demonstrate…”
Get full text

Biogeography-Based Combinatorial Strategy for Efficient Autonomous Underwater Vehicle Motion Planning and Task-Time Management by Zadeh, S. M., Powers, D. M. W., Sammut, K., Yazdani, A. M.

“…Autonomous Underwater Vehicles （AUVs） are capable of conducting various underwater missions and marine tasks over long periods of time. In this study, a novel…”
Get full text

UUV's Hierarchical DE-based Motion Planning in a Semi Dynamic Underwater Wireless Sensor Network by MahmoudZadeh, S, Powers, D. M. W, Atyabi, A

“…IEEE Transactions on Cybernetic, Volume: 49 , Issue: 8 , Aug. 2019 This paper describes a reflexive multilayered mission planner with a mounted energy…”
Get full text

Online path planning for AUV rendezvous in dynamic cluttered undersea environment using evolutionary algorithms by MahmoudZadeh, S., Yazdani, A.M., Sammut, K., Powers, D.M.W

“…[Display omitted] •Development of a reliable path planning for having a successful rendezvous mission.•Presenting the rendezvous problem as a Nonlinear Optimal…”
Get full text

Evolutionary feature selection and electrode reduction for EEG classification by Atyabi, A., Luerssen, M., Fitzgibbon, S., Powers, D. M. W.

“…EEG signals usually have a high dimensionality which makes it difficult for classifiers to learn the difference of various classes in the underlying pattern in…”
Get full text

Adapting subject-independent task-specific EEG feature masks using PSO by Atyabi, A., Luerssen, M., Fitzgibbon, S. P., Powers, D. M. W.

“…Dimension reduction is an important step toward asynchronous EEG based BCI systems, with EA based Feature/ Electrode Reduction (FR/ER) methods showing…”
Get full text

Dimension reduction in EEG data using Particle Swarm Optimization by Atyabi, A., Luerssen, M., Fitzgibbon, S., Powers, D. M. W.

“…EEG data contains high-dimensional data that requires considerable computational power for distinguishing different classes. Dimension reduction is commonly…”
Get full text

A novel efficient task-assign route planning method for AUV guidance in a dynamic cluttered environment by MahmoudZadeh, S., Powers, D. M. W., Yazdani, A. M.

“…Increasing the level of autonomy facilitates a vehicle in performing long-range operations with minimum supervision. This paper shows that the ability of…”
Get full text

The problem of Area Under the Curve by Powers, D. M. W.

“…Receiver Operating Characterics curves have recently received considerable attention as mechanisms for comparing different algorithms or experimental results…”
Get full text

ROC-ConCert: ROC-Based Measurement of Consistency and Certainty by Powers, D. M. W.

“…Receiver Operating Characteristics (ROC) has increasingly been advocated as a mechanism for evaluating classifiers, particularly when the precise conditions…”
Get full text

Differential Evolution for Efficient AUV Path Planning in Time Variant Uncertain Underwater Environment by Zadeh, S. Mahmoud, Powers, D. M. W, Yazdani, A, Sammut, K, Atyabi, A

“…The AUV three-dimension path planning in complex turbulent underwater environment is investigated in this research, in which static current map data and…”
Get full text

Innovative instruction, assessment & evaluation in programming language concepts by Powers, D. M. W.

“…This paper describes the development of a course in Programming Concepts over a period of a decade. Initially we present educational principles that underlie…”
Get full text

The impact of segmentation and replication on non-overlapping windows: An EEG study by Atyabi, A., Powers, D. M. W.

“…It is a common phenomenon that classification techniques applied to human EEG data are often more successful for some subjects than others. One reason may be…”
Get full text

The Problem of Cross-Validation: Averaging and Bias, Repetition and Significance by Powers, D. M. W., Atyabi, A.

“…Cross-Validation (CV) is the primary mechanism used in Machine Learning to control generalization error in the absence of sufficiently large quantities of…”
Get full text

Biasing the overlapping and non-overlapping sub-windows of EEG recording by Atyabi, A., Fitzgibbon, S., Powers, D. M. W.

“…EEG recording involves having subjects sit on a chair for a couple of hours without being allowed to move and being asked to repeatedly perform various mental,…”
Get full text