Search Results - (( use interface machine algorithm ) OR ( java implication based algorithm ))

Brain Machine Interface Controlled Robot Chair by Hema Chengalvarayan, Radhakrishnamurthy

“…The BMI controls the joystick of the robot chair using a shared control algorithm. Real-time experiments are also presented using 10 trained and 5 untrained subjects to validate the applicability of the brain machine interface. …”
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Brain machine interface based wheelchair control with minimal subject training by Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesapandian, Sazali, Yaacob, Abdul Hamid, Adom, Ramachandran, Nagarajan

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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

“…The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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Improving classification of EEG signals for a four-state brain machine interface by Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr., Abdul Hamid, Adom, Prof. Dr.

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EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces by Paulraj, Murugesapandian, Hema, Chengalvarayan Radhakrishnamurthy, Ramachandran, Nagarajan, Sazali, Yaacob, Abdul Hamid, Adom

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Parallel execution of distributed SVM using MPI (CoDLib) by Salleh N.S.M., Suliman A., Ahmad A.R.

“…Message Passing Interface (MPI) is used in the communication between machines in the cluster. …”

Brain machine interfaces: recognition of mental tasks using neural networks and PSO learning algorithms / Hema C.R. ...[et al.] by C.R., Hema, M.P., Paulraj, Yaacob, S., Adom, A.H., R., Nagarajan

“…Brain machine interface (BMI) provides a digital channel for communication in the absence of the biological channels. …”
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EEG-Based Brain-Machine Interface (BMI) for Controlling Mobile Robots: The Trend of Prior Studies by Murali Krishnan, Muralindran Mariappan

“…In this paper, we review the background, feature extraction and classification algorithms used to design the Electroencephalography (EEG) based Brain-Machine Interface (BMI) to control the mobile robots.…”
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Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks by Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesa Pandiyan, Assoc. Prof., Nagarajan, Ramachandran, Prof. Dr., Sazali, Yaacob, Prof. Dr., Abdul Hamid, Adom, Prof. Madya

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Fuzzy based classification of EEG mental tasks for a brain machine interface by Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesapandian, Ramachandran, Nagarajan, Sazali, Yaacob, Abdul Hamid, Adom

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Graphical user interface for surface roughness prediction of CNC milling machine / Muhammad Qayyum Nor Asffan by Nor Asffan, Muhammad Qayyum

“…It can function to analyse data, develop algorithms even create models and applications. In this research, MATLAB Graphical User Interface (GUI) is used to develop a user- friendly program that can predict surface roughness of Aluminium 6061 in CNC milling machine. …”
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Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks by Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesapandian, Sazali, Yaacob, Abd Hamid, Adom, Ramachandran, Nagarajan

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Particle swarm optimization (PSO) for CNC route problem by Nur Azia Azwani, Ismail

“…Basically, this project is mainly concerned on Particle Swarm Optimization (PS 0) to optimize the routing of CNC machine. The algorithm used in this project is the Global Best (gbest) algorithm where it is a basic algorithm of Particle Swarm Optimization which applicable the shortest time and path of CNC machine to complete the process of drilling. …”
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System Interface Design For CAD/CAM-Simulink Data Exchange System Using MATLAB by Mat Seman, Norhidayah, Jamaludin, Zamberi, Minhat, Mohamad

“…The proposed CS-DES system enhances data automation through formation of the graphical user input reference interface of the machine tools control system using NC manufacturing codes data as the reference input signal. …”
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Restaurant locator using Djikstra Algorithm / Mohamad Aliff Hakimi Lukman Hakim by Lukman Hakim, Mohamad Aliff Hakimi

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A new mobile botnet classification based on permission and API calls by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres by Atiewi S., Yussof S., Rusli M.E.B., Zalloum M.

Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

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A machine learning approach to predict the activity of smart home inhabitant by Marufuzzaman M., Tumbraegel T., Rahman L.F., Sidek L.M.

Comparison of static and dynamic neural network classifiers for brain-machine interfaces / Hema C.R. ...[et al.] by C.R., Hema, M.P., Paulraj, Yaacob, S., Adom, A.H., Nagarajan, R.

“…Neural network classifiers are one among the popular modes in the design of brain machine interface (BMI). In this study two novel dynamic neural network classifier designs for a four-state BMI are presented. …”
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