Search Results - (( _ classification window algorithm ) OR ( java implication based algorithm ))

Experimental study of urban growth pattern classification using moving window algorithm by Ghani N.L.A., Abidin S.Z.Z.

“…This study aims to investigate the effect of different moving window frames on the classification results and proposed an improvement to moving window algorithm with new classification rules. …”

Overview of metaheuristic: classification of population and trajectory by Zainul Rashid, Zarina

Get full text
Get full text

Text Extraction Algorithm for Web Text Classification by Theab, Mustafa Muwafak

“…This study provides a text extraction algorithm for web text classification. The extraction algorithm consists of three phases namely web page extraction, rule formulation, and algorithm validation. …”
Get full text
Get full text
Get full text

An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani by Ab Ghani, Nur Laila

“…The urban growth images obtained are analysed to improve existing classification algorithms. The improved algorithm is constructed by adding new parameter and classification rule to existing algorithm. …”
Get full text
Get full text

Fair bandwidth distribution marking and scheduling algorithm in network traffic classification by Al-Kharasani, Ameen Mohammed Abdulkarem

“…Second, an Optimized time sliding window packet marker (OTSWTCM) algorithm. This algorithm depends on the adaptability of the concept in the ITSWTCM, I2TSWTCM and M2I2TSWTCM algorithms for affecting the fairness and multiple protocols. …”
Get full text
Get full text

Design of intelligent Qira’at identification algorithm by Kamarudin, Noraziahtulhidayu

“…The process of the SPAP Algorithm is to extend parameters of the Affine Projection Block with two different selections of windowing length that affect the final accuracy on pattern classification. …”
Get full text
Get full text

Analyzing land surface temperature in response to massive urbanization by using single window algorithm in Penang Island / Ainna Naeemah Zainal Abidin by Zainal Abidin, Ainna Naeemah

“…Next will be the extraction of Land Surface Temperature (LST) by using Spectral Radiance Model and Single Window Algorithm through the satellite imagery. Last objectives will be the analysis on the relationship between the dependent and independent variables that be made through the correlation coefficient analysis. …”
Get full text
Get full text

Non-fiducial based electrocardiogram biometrics with kernel methods by Hejazi, Maryamsadat

“…At classification level, Gaussian multi-class Support Vector Machine (SVM) with the One-Against-All (OAA) approach is proposed to evaluate verification performance rates of the feature extraction algorithms. …”
Get full text
Get full text

Random subspace K-NN based ensemble classifier for driver fatigue detection utilizing selected EEG channels by Rashid, Mamunur, Mahfuzah, Mustafa, Norizam, Sulaiman, Nor Rul Hasma, Abdullah, Rosdiyana, Samad

“…An optimal channel selection approach and a competent classification algorithm might be viewed as a critical aspect of efficient fatigue detection by the driver. …”
Get full text
Get full text
Get full text

Block Motion Estimation Using Directional Adaptive Search Window by Fadly Chew, Nor Farhana, Badruddin, Nasreen

“…This classification and the direction of the motion vectors, are used to dynamically adjust the search window size and general orientation. …”
Get full text
Get full text

Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm by Abdulwahid S., Mahmoud M.A., Abdulwahid N.

Epileptic Seizure Detection Using Singular Values And Classical Features Of EEG Signals by Ahmed, Ahmed Elsayed Elmahdy

“…In this algorithm a sliding window of one second is utilized to check for epileptic seizure at each second and the classification method used is support vector machine (SVM). …”
Get full text
Get full text

Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm by Ismail, Asmida, Ahmad, Siti Anom, Che Soh, Azura, Hassan, Mohd Khair, Harith, Hazreen Haizi

“…This paper presented an analysis performance of deep learning object detector by combining a deep learning Convolutional Neural Network (CNN) for object classification and applies classic object detection algorithms to devise our own deep learning object detector. …”
Get full text
Get full text
Get full text

Block motion estimation using directional adaptive search window by Chew , N.F.F., Badruddin ., Nasreen

“…This classification and the direction of the motion vectors, are used to dynamically adjust the search window size and general orientation. …”
Get full text
Get full text
Get full text

Radar - Acoustic Vehicle Classification System based on shallow Convolutional Neural Network by Yasmin, Aida

“…The proposed multimodal SCNN achieved a maximum classification accuracy of 96.7% with a 1-second time window, 128x 128 spectrogram, and late-fusion concatenation. …”
Get full text
Get full text

UAV-based RGB/NIR aerial imaging for the detection of Ganoderma disease in oil palm plantation / Ezzati Bahrom by Ezzati , Bahrom

“…Best result was obtained from Bit Error filter with 9×9 window size using the NN algorithm with an overall accuracy of 62.41% and a Kappa coefficient of 0.3890. …”
Get full text
Get full text

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

Get full text
Get full text
Get full text

Direct least squares fitting of ellipses segmentation and prioritized rules classification for curve-shaped chart patterns by Lei, I. L., Teh, Phoey Lee *, Si, Yain-Whar

“…To further enhance the efficiency of classifying chart patterns from real-time streaming data, we propose a novel algorithm called Accelerating Classification with Prioritized Rules (ACPR). …”
Get full text
Get full text
Get full text

A voting-based hybrid machine learning approach for fraudulent financial data classification / Kuldeep Kaur Ragbir Singh by Kuldeep Kaur , Ragbir Singh

Get full text
Get full text
Get full text

Epileptic seizure detection using singular values and classical features of EEG signals by Elmahdy, A.E., Yahya, N., Kamel, N.S., Shahid, A.

“…Using CHB-MIT Scalp EEG Database, the calculations of the features are performed over a sliding window of one second. The algorithm was evaluated in terms of accuracy, sensitivity, specificity and failure rate. …”
Get full text
Get full text