Search Results - (( mobile extraction method algorithm ) OR ( using codification using algorithm ))

Data mining in mobile ECG based biometric identification by Sidek, Khairul Azami, Mai, Vu, Khalil, Ibrahim

“…Subjects in MIT-BIH Normal Sinus Rhythm Database (NSRDB) were used to validate the reliability and stability of the subject recognition methods. Discriminatory features extracted from the experimentation were later applied to different classifiers for performance measures based on the complexity of our proposed sample extraction method when compared to other related algorithms, the total execution time (TET) applied on different classifiers in various mobile devices and the classification accuracies when applied to various classification techniques. …”
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Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment by Wang, Kai, Zhou, Jun, Zhang, Wenhai, Zhang, Baohua

“…Finally, morphological parameters of the canopy, such as crown height, crown diameter, and crown volume, are extracted using statistical and voxel methods. To verify the algorithm, a total of 43 trees in multiple plots of the campus were tested and compared. …”
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Overhead vision system for mobile robot orientation detection by Fadzilah, Hashim

“…Cameras are used to capture the images of mobile robot at various orientations. The images are preprocessed and important features are extracted to be used in the proposed methods. …”
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Behavioural Feature Extraction For Context-Aware Traffic Classification Of Mobile Applications by Aun, Yichiet

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The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach by Ab. Malik, Rosely, Jamil S., Mohamed

“…Using the developed algorithm, the safety measures involved are such as reliability index and the probability of failure; instead of only factor of safety if conventional deterministic approach is used. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah by Ali, Feizollah

“…Power consumption is one major constraint that makes traditional detection methods impractical for mobile devices, while cloud-based techniques raise many privacy concerns. …”
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Reduced Set Kernel Principal Component Analysis (Rskpca) Algorithm for Palm Print Based Mobile Biometric System by Ibrahim, Noor Salwani

“…In this project, it has been proven that the proposed RSKPCA as feature extraction gives the best result for mobile biometric system based on palm print. …”
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Designing an expressive virtual Kompang on mobile device with tri-axial accelerometer by Leng, Hoo Yong, Mohd Norowi, Noris, Jantan, Azrul Hazri

“…This paper is therefore implemented a simple extraction method by extracting percussive features from embedded sensors to map with the output sound with minimum delay. …”
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Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation by Rahimizadeh, Hamid

“…In order to show the real time ability and robustness of proposed method for color segmentation, experimental results conducted on vision based mobile robot for navigation. …”
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Optimising acoustic features for source mobile device identification using spectral analysis techniques / Mehdi Jahanirad by Mehdi , Jahanirad

“…Hence, addressing robust feature extraction methods for source communication device identification is necessary. …”
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The classification of wink-based eeg signals by means of transfer learning models by Jothi Letchumy, Mahendra Kumar

“…This study aimed to explore the performance of different pre-processing methods, namely Fast Fourier Transform, Short-Time Fourier Transform, Discrete Wavelet Transform, and Continuous Wavelet Transform (CWT) that could allow TL models to extract features from the images generated and classify through selected classical ML algorithms . …”
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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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Speedup robust features based unsupervised place recognition for assistive mobile robot by Karasfi, Babak, Tang, Sai Hong, Jalalian, Afsaneh, Nakhaeinia, Danial

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Analytical method for forensic investigation of social networking applications on smartphones by Dezfouli, Farhood Norouzizadeh

“…Therefore, the result of previous researches indicate that the current mobile forensic analyzer tools and methods are not able to automatically acquire enough valuable data remnants from social networking applications on smartphones and only provide an interface to the data for the investigator. …”
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Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions by Akhlaqi, Mohammad Yahya, Mohd Hanapi, Zurina

“…For each journal paper, the detailed information of the work area, targeted issue, formulation technique, optimization approach, adopted algorithms, evaluation techniques, performance matrices, dataset, utilized tools, and framework are extracted and analyzed using manual and automatic coding. …”
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The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier by Jothi Letchumy, Mahendra Kumar, Mamunur, Rashid, Rabiu Muazu, Musa, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed

“…It was shown through this study, that the features extracted by means of NasNetLarge were more efficient compared with NasNetMobile. …”
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The significant effect of feature selection methods in spam risk assessment using dendritic cell algorithm by Zainal K., Jali M.Z.

Wind direction and speed estimation for quadrotor based gas tracking robot by Eu, Kok Seng *, Chia, Wei Zheng, Yap, Kian Meng *

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A new SMS spam detection method using both Content-Based and non Content-Based features by Sulaiman N.F., Jali M.Z.

ROS based mobile robot navigation with imperfect data association by Hamzah, Ahmad, Nur Ismahani Zulaikha, Mohd Din, Mohd Mawardi, Saari, Nur Aqilah, Othman, Mohd Syakirin, Ramli

“…The simulation results show that the proposed navigation method is effective to estimate the mobile robot location with imperfect data association.…”
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