Mahardhika Pratama

research

∙ 06/28/2021

Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach

Unsupervised continual learning remains a relatively uncharted territory...

15 Mahardhika Pratama, et al. ∙

research

∙ 06/26/2021

Autonomous Deep Quality Monitoring in Streaming Environments

The common practice of quality monitoring in industry relies on manual i...

9 Andri Ashfahani, et al. ∙

research

∙ 06/26/2021

Continual Learning via Inter-Task Synaptic Mapping

Learning from streaming tasks leads a model to catastrophically erase un...

0 Mao Fubing, et al. ∙

research

∙ 06/26/2021

Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams

The large-scale data stream problem refers to high-speed information flo...

0 Mahardhika Pratama, et al. ∙

research

∙ 11/03/2019

Weakly Supervised Deep Learning Approach in Streaming Environments

The feasibility of existing data stream algorithms is often hindered by ...

0 Mahardhika Pratama, et al. ∙

research

∙ 10/29/2019

Toward Underground Localization: Lidar Inertial Odometry Enabled Aerial Robot Navigation

Localization can be achieved by different sensors and techniques such as...

0 Jiun Fatt Chow, et al. ∙

research

∙ 10/08/2019

DEVDAN: Deep Evolving Denoising Autoencoder

The Denoising Autoencoder (DAE) enhances the flexibility of the data str...

16 Andri Ashfahani, et al. ∙

research

∙ 10/08/2019

Automatic Construction of Multi-layer Perceptron Network from Streaming Examples

Autonomous construction of deep neural network (DNNs) is desired for dat...

0 Mahardhika Pratama, et al. ∙

research

∙ 10/08/2019

ATL: Autonomous Knowledge Transfer from Many Streaming Processes

Transferring knowledge across many streaming processes remains an unchar...

0 Mahardhika Pratama, et al. ∙

research

∙ 07/31/2019

Aerial Robot Control in Close Proximity to Ceiling: A Force Estimation-based Nonlinear MPC

Being motivated by ceiling inspection applications via unmanned aerial v...

0 Basaran Bahadir Kocer, et al. ∙

research

∙ 07/19/2019

Real-time UAV Complex Missions Leveraging Self-Adaptive Controller with Elastic Structure

The expectation of unmanned air vehicles (UAVs) pushes the operation env...

0 Mohamad Abdul Hady, et al. ∙

research

∙ 12/31/2018

UAV Control in Close Proximities - Ceiling Effect on Battery Lifetime

With the recent developments in the unmanned aerial vehicles (UAV), it i...

0 Basaran Bahadir Kocer, et al. ∙

research

∙ 11/09/2018

PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles

There exists an increasing demand of a flexible and computationally effi...

0 Md Meftahul Ferdaus, et al. ∙

research

∙ 10/17/2018

Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments

The feasibility of deep neural networks (DNNs) to address data stream pr...

0 Andri Ashfahani, et al. ∙

research

∙ 09/24/2018

Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams

The generative learning phase of Autoencoder (AE) and its successor Deno...

0 Mahardhika Pratama, et al. ∙

research

∙ 08/26/2018

An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams

Existing fuzzy neural networks (FNNs) are mostly developed under a shall...

0 Mahardhika Pratama, et al. ∙

research

∙ 08/07/2018

Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams

The concept of stochastic configuration networks (SCNs) others a solid f...

0 Mahardhika Pratama, et al. ∙

research

∙ 07/18/2018

Evolving Large-Scale Data Stream Analytics based on Scalable PANFIS

Many distributed machine learning frameworks have recently been built to...

0 Mahardhika Pratama, et al. ∙

research

∙ 06/08/2018

Development of a Sliding Mode Control Based Adaptive Fuzzy Controller for a Flapping Flight

Controlling of a flapping flight is one of the recent research topics re...

0 Md Meftahul Ferdaus, et al. ∙

research

∙ 05/20/2018

An Online RFID Localization in the Manufacturing Shopfloor

Radio Frequency Identification technology has gained popularity for chea...

0 Andri Ashfahani, et al. ∙

research

∙ 05/11/2018

PALM: An Incremental Construction of Hyperplanes for Data Stream Regression

Data stream has been the underlying challenge in the age of big data bec...

0 Mahardhika Pratama, et al. ∙

research

∙ 05/04/2018

A Generic Self-Evolving Neuro-Fuzzy Controller based High-performance Hexacopter Altitude Control System

Nowadays, the application of fully autonomous system like rotary wing un...

0 Md Meftahul Ferdaus, et al. ∙

research

∙ 04/26/2018

Big Data Analytic based on Scalable PANFIS for RFID Localization

RFID technology has gained popularity to address localization problem in...

0 Choiru Za'in, et al. ∙

research

∙ 02/05/2018

Parsimonious Network based on Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis

In recent years, the utilization of rotating parts, e.g. bearings and ge...

0 Wahyu Caesarendra, et al. ∙

research

∙ 05/29/2017

An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis

Products reviews are one of the major resources to determine the public ...

0 Murtadha Talib AL-Sharuee, et al. ∙

research

∙ 05/06/2017

Metacognitive Learning Approach for Online Tool Condition Monitoring

As manufacturing processes become increasingly automated, so should tool...

0 Mahardhika Pratama, et al. ∙

research

∙ 05/06/2017

PANFIS++: A Generalized Approach to Evolving Learning

The concept of evolving intelligent system (EIS) provides an effective a...

0 Mahardhika Pratama, et al. ∙

research

∙ 04/10/2017

Parsimonious Random Vector Functional Link Network for Data Streams

The theory of random vector functional link network (RVFLN) has provided...

0 Mahardhika Pratama, et al. ∙

research

∙ 09/01/2016

A novel online multi-label classifier for high-speed streaming data applications

In this paper, a high-speed online neural network classifier based on ex...

0 Rajasekar Venkatesan, et al. ∙

research

∙ 08/31/2016

A Novel Online Real-time Classifier for Multi-label Data Streams

In this paper, a novel extreme learning machine based online multi-label...

0 Rajasekar Venkatesan, et al. ∙

Mahardhika Pratama

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