Search Results - real ((((time processing) OR (_ processing))) OR (((pre processing) OR (data processing))))
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1
Intelligent Sensor Data Pre-processing Using Continuous Restricted Boltzmann Machine
Published 2007“…This solution must be able to process continuous-time, analogue sensor signals directly. …”
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Final Year Project -
2
An efficient real-time terrain data organization and visualization algorithm based on enhanced triangle-based level of detail technique
Published 2006“…According to the results obtained during the pre-processing, the partitioning of digital elevation data into tiles has successfully reduced the data size although it required a longer processing time. …”
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3
The directs impact to pre-filtering process to weather dataset
Published 2011“…Monitoring through of data near real-time (dynamic data), in this paper, we address the issue of efficiently monitoring the satisfaction of sequential process to receive on the way to data storage. …”
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4
Surface electromyography hand motion classification using time domain features and artificial neural network for real time application
Published 2014“…Meanwhile, hardware computational steps were recorded at pre-processing and feature extraction steps. It can be concluded that time domain features are efficient for real time application with 6 ms simulation delay. …”
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5
Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin
Published 2011“…Real-time processing is still feasible as these sophisticated algorithms are applied only a small number of candidates foreground pixels. …”
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Research Reports -
6
Motor imaginary-based brain machine interface design using programmable logic controllers for the disabled
Published 2010“…This paper explains the signal processing techniques, the PLC's hardware configuration, OPC configuration and real-time data exchange between MATLAB and PLC using the MATLAB OPC toolbox. …”
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7
Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream
Published 2023“…Clustering, known for its versatility in real-time data stream processing and independence from labeled instances, is a suitable method for analyzing evolving data streams. …”
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8
Real-time facial expression recognition system (FERS)
Published 2011“…Evolutionary methodology was implemented in this system design by using several image processing techniques include imageacquisition,image enhancement (or known as pre-processing stages)and feature extraction.Hundred and fifty four sample,data of human faces in the range of 18 to 26 years old is tested.The system first applies some pre-processing stages to enhance the input image and reduce the noise.The face boundary will then be detected. …”
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Undergraduates Project Papers -
9
Partial Pose Estimation Of Rigid Object System Using Cad Database
Published 2017“…By knowing the partial pose estimation before inspection, overall inspection processing time can be reduced. System development for partial pose estimation identification consists of a few main parts which are image acquisition, pre-processing, processing and camera calibration. …”
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10
Data virtualization design model for near real time decision making in business intelligence environment
Published 2017“…ETL operates at pre-defined times and requires time to process and transfer data. …”
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11
Wireless Smart Sensor Network for Flood Management Optimization
Published 2017“…This pre-processing step is to improve the reliability,data quality and transmission quality. …”
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12
Training process reduction based on potential weights linear analysis to accelerate back propagation network.
Published 2009“…Learning is the important property of Back Propagation Network (BPN) and finding the suitable weights and thresholds during training in order to improve training time as well as achieve high accuracy. Currently, data pre-processing such as dimension reduction input values and pre-training are the contributing factors in developing efficient techniques for reducing training time with high accuracy and initialization of the weights is the important issue which is random and creates paradox, and leads to low accuracy with high training time. …”
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13
Design a neurofeedback system with incorporated real time EOG artifact removal
Published 2022“…In our project, we will design a neurofeedback system to perform the real-time EOG artifact removal. The artifact removal is one of the pre-processing steps in the BCI system that removes the unwanted noise from the raw EEG signals. …”
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Final Year Project / Dissertation / Thesis -
14
Brewing perfection: real-time monitoring of arabic coffee using iot and machine learning
Published 2026“…Using the YOLOv8 algorithm, a model was trained to detect and track the state of coffee in real time. Before data augmentation, the model achieved an mAP50–95 of 0.636. …”
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Proceeding Paper -
15
Preprocessing And Pretraining Of Multilayer Feed Forward Neural Network
Published 2009“…However, this process is random and creates the paradox of low accuracy and high training time. …”
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16
Real time waste material detection using region-based convolutional neural network (RCNN) / Mohammad Aiman Haziq Mohd Hudzir
Published 2019“…Next, the dataset will undergo pre-processing that creates bound box around the images. …”
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17
Real-Time LCD Digit Recognition System
Published 2017“…The system is interfaced with an IP webcam to capture the video frames from the LCD display. The digital data is pre-processed into grayscale and being cropped into a selected region of interest (ROI). …”
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18
Template neural particle optimization for vehicle license plate recognition
Published 2015“…Pre-processing is an initial step in image processing to improve image quality for more suitability in visualizing perception or computational processing while filtering is required to solve contrast enhancement, noise suppression, blurry issue and data reduction. …”
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19
Neural Network Based Soft Sensor for Inferential Control of a Binary Distillation Column
Published 2009“…The collected data is pre-processed for the removal of outliers, normalized and segmented into training and test data subsets. …”
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Conference or Workshop Item -
20
Deep learning approach with image noise reduction to determine planting density and defected paddy seedlings
Published 2022“…Exploratory research was conducted to propose a robust computer vision approach to classify paddy seedlings density and defected paddy seedlings detection using pre-trained CNN model with transfer learning. Data augmentation, image pre-processing and hyperparameter tuning were applied to achieve the desirable performance. …”
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