Search Results - (( pre estimation method algorithm ) OR ( mobile application new algorithm ))
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1
The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…The implementation of pre-processing algorithms has been demonstrated to be able to mitigate the signal noises that arises from the winking signals without the need for the use signal filtering algorithms. …”
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2
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Published 2019“…Hence, the focus of this review is to provide in-depth and comprehensive analysis of data fusion and multiple classifier systems techniques for human activity recognition with emphasis on mobile and wearable devices. First, data fusion methods and modalities were presented and also feature fusion, including deep learning fusion for human activity recognition were critically analysed, and their applications, strengths and issues were identified. …”
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3
A new efficient checkpointing algorithm for distributed mobile computing
Published 2015“…Such instability poses serious challenge for fault tolerant distributed mobile applications. Therefore, the classical checkpointing techniques, which make the applications more failure-resistant, are not always compatible with the mobile context. …”
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4
Implementation of Autoregressive(AR)Method to Pre-Filter the Set of Measurements
Published 2009“…This paper describes a pre-screening process to identify the bad measurements and the measurement weights before WLS estimation method employed in SE is performed. …”
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5
Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan
Published 2013“…The ANN makes the model learn the pattern by the sample of inputs and outputs to estimate results or to get more accurate data. Backpropagation is used as the learning method of ANN model. …”
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6
Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli
Published 2013“…The ANN makes the model learn the pattern by the sample of inputs and outputs to estimate results or to get more accurate data. Backpropagation is used as the learning method of ANN model. …”
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7
Chain coding and pre processing stages of handwritten character image file
Published 2010“…This paper discusses in detail some of the algorithms used in the pre-processing stages of an offline handwritten character image file. …”
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8
Noise Reduction using Mean Shift Algorithm for Estimating 3D Shape
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9
Age Group Estimation from Face Images
Published 2015“…We have proposed an age group estimation algorithm based on the wrinkle features on the face image. …”
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Final Year Project / Dissertation / Thesis -
10
Implementation of Autoregressive (AR)Method to Pre-Filter the Set of Measurements
Published 2009“…This paper describes a pre-screening process to identify the bad measurements and the measurement weights before WLS estimation method employed in SE is performed. …”
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11
Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…There are many types of motion estimation method but the most used method is the block matching method which is the fixed block matching and the variable block matching. …”
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12
New Lightweight Identity Based Encryption Algorithm for Mobile Device: Preliminary Study
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13
Penalized LAD-SCAD estimator based on robust wrapped correlation screening method for high dimensional models
Published 2021“…To overcome these problems, the LAD-SCAD based on sure independence screening (SIS) technique is put forward. The SIS method uses the rank correlation screening (RCS) algorithm in the pre-screening step and the traditional Pathwise coordinate descent algorithm for computing the sequence of the regularization parameters in the post screening step for onward model selection. …”
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14
Power System State Estimation In Large-Scale Networks
Published 2010“…This thesis describes a pre-screening process to identify the bad measurements and the measurement weights before performing the WLS estimation technique employed in SE. …”
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15
A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
16
A new Doppler Spread Estimation Algorithm Based on Zero Crossings of The Auto-correlation
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17
Thalassaemia detection using CBR Algorithm via mobile device
Published 2011“…This thesis proposes a Case-Based Reasoning model for medical diagnosis,particularly for Thalassaemia diagnosis. CBR Algorithm is an algorithm that can solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation in a new situation.CBR is suit for solving the problem in Thalassaemia cases.The model is designed and prototype is developed to test the diagnosis accuracy of the model.T his application is focus on Beta Thalassaemia and Haemoglobin E Trait only.For platform, this application will be using the mobile device such as PDA. …”
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Undergraduates Project Papers -
18
A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…Therefore, this paper presents a new mobile botnet classification based on permission and Application Programming Interface (API) calls in the smartphone. …”
Proceedings Paper -
19
A study of mobile IP and its security aspects in a LAN environment / Suhaila Che Ismail
Published 1998“…This is a new solution meant for a mobile node that might be utilising applications that may not be interrupted when the mobile node moves from one link to another. …”
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20
Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm
Published 2018“…The empirical evidences show that the two suggested methods are more efficient compared to the existing methods.…”
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