Search Results - (( java implication based algorithm ) OR ( using practical extraction algorithm ))

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

Optimal timber transportation planning in tropical hill forest using bees algorithm by Jamaluddin, Jamhuri

“…Overall, the model helps the forest engineer and the decision-makers to plan a suitable forest road networking for timber extraction and easily estimate the extraction costs, which the current practice is not able to.…”
Get full text
Get full text

Simplified adaptive linear neuron harmonics extraction algorithm for dynamic performance of shunt active power filter by Mohd Zainuri, Muhammad Ammirrul Atiqi, Mohd Radzi, Mohd Amran, Che Soh, Azura, Mariun, Norman, Abd Rahim, Nasrudin

“…For practical validation, the experimental laboratory prototype was also developed, and the algorithm was implemented using Digital Signal Processor TMS320F28335. …”
Get full text
Get full text
Get full text

Arabic Text Clustering Methods And Suggested Solutions For Theme-based Quran Clustering: Analysis Of Literature by Qusay Bsoul, Jaffar Atwan, Rosalina Abdul Salam, Malik Jawarneh

Study of keyword extraction techniques for electric double-layer capacitor domain using text similarity indexes: An experimental analysis by Miah, M. Saef Ullah, Junaida, Sulaiman, Talha, Sarwar, Kamal Z., Zamli, Jose, Rajan

Get full text
Get full text
Get full text

Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking by Boroujeni, Farsad Zamani

“…The first contribution is automatic detection of seed points which serve as a prerequisite step for centerline extraction algorithm. The solution consists of an algorithm for automatic collection of candidate seed points using efficient grid line searching mechanism and a validation method which uses local geometric and intensity based features as effective validation rules to discriminate between the actual seed point and false alarms. …”
Get full text
Get full text

Using a fatigue data editing approach for analysing cycle sequence effects in variable amplitude road loadings by S., Abdullah, J. C., Choi

Get full text

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Parameter extraction of solar photovoltaic modules using penalty-based differential evolution by Ishaque, K., Salam, Z., Mekhilef, Saad, Shamsudin, A.

“…The two diode model of a solar cell is used as the basis for the extraction problem. The analyses carried out using synthetic current-voltage (I-V) data set showed that the proposed P-DE outperforms other Evolutionary Algorithm methods, namely the simulated annealing (SA), genetic algorithm (GA), and particle swarm optimization (PSO). …”
Get full text
Get full text

Feature extraction using neocognitron learning in hierarchical temporary memory by Mousa, Aseel, Yusof, Yuhanis

“…Hierarchical Temporal Memory (HTM) serves as a practical implementation of the memory prediction theory.In order to obtain the optimum accuracy in pattern recognition, it is crucial to apply an appropriate learning algorithm for the feature extraction step of the HTM.This study proposes the use of neocognitron learning in extracting features of the pattern for image recognition.The integration of neocognitron into HTM addresses both the scale and time issues of the HTM. …”
Get full text
Get full text
Get full text

Using algorithmic taxonomy to evaluate lecturer workload by Hashim, Ruhil Hayati, Abdul Hamid, Jamaliah, Selamat, Mohd Hasan, Ibrahim, Hamidah, Abdullah, Rusli, Mohayidin, Mohd Ghazali

Get full text
Get full text
Get full text

Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin by Raja Kamarudin, Raja Muhammad Hafiz

“…This research tries to utilize biological-inspired computing algorithm, Immune Network algorithm, in this sentiment analysis field. …”
Get full text
Get full text

Multiregion segmentation of mammogram images by using parametric kernel graph cut algorithm / Nurhanani Abdul Rahim, Nor Farah Nabilah Mushtafa and Nadhirah Afiqah Zailan by Abdul Rahim, Nurhanani, Mushtaf, Nor Farah Nabilah, Zailan, Nadhirah Afiqah

“…However, several methods are faced with common issues, such as sensitivity to the noise and not robust in practices. Therefore, Parametric Kernel Graph Cut Algorithm was used in this study. …”
Get full text
Get full text

Herbs recognition based on chemical properties using machine learning algorithm by Mohamad Radzi, Nur Fadzilah, Che Soh, Azura, Ishak, Asnor Juraiza, Hassan, Mohd Khair

“…Innovatively, a new feature extraction method using the Weighted Histogram Analysis Method (WHAM) has been introduced. …”
Get full text
Get full text

Development of an effective clustering algorithm for older fallers by Goh, Choon Hian, Wong, Kam Kang, Tan, Maw Pin *, Ng, Siew Cheok, Chuah, Yea Dat, Kwan, Ban Hoe

“…A total of 1279 subjects and 9 variables were selected for clustering after the data pre-possessing stage. Using feature extraction with the t-SNE and the K-means clustering algorithm, subjects were clustered into low, intermediate A, intermediate B and high fall risk groups which corresponded with fall occurrence of 13%, 19%, 21% and 31% respectively. …”
Get full text
Get full text

Real time electrocardiogram identification with multi-modal machine learning algorithms by Waili, Tuerxun, Mohd Nor, Rizal, Sidek, Khairul Azami, Abdul Rahman, Abdul Wahab, Guven, Ghokan

“…We explore ways to identity a person within 3–4 s using just 5 heart beats. We extracted few reliable features from each QRS complexes, combined effort of three algorithms to achieve 96% accuracy. …”
Get full text
Get full text
Get full text
Get full text

Improving mining efficiency: A new scheme for extracting association rules by Said, Aiman Moyaid, Dominic, P D D., Abdullah, Azween

“…In the age of information technology, the amount of accumulated data is tremendous. Extracting the association rule from this data is one of the important tasks in data mining.Most of the existing association rules in algorithms typically assume that the data set can fit in the memory.In this paper, we propose a practical and effective scheme to mine association rules from frequent patterns, called Prefixfoldtree scheme (PFT scheme).The original dataset is divided into folds, and then from each fold the frequent patterns are mined by using the tree projection approach.These frequent patterns are combined into one set and finally interestingness constraints are used to extract the association rules.The experiments will be conducted to illustrate the efficiency of our scheme.…”
Get full text
Get full text
Get full text

Different Techniques and Algorithms for Biomedical Signal Processing by Salleh, Sh-Hussain

Get full text
Get full text

An image processing technique for mental health assessment from Electrophotonic by Janifal Alipal

“…In brief, through these digital parameters, the energy level of different mental health status in 160 images of healthy and mentally ill subjects is quantified. As a result, by using ERS algorithm, the image quality is improved and the extracted region derives the maximum and minimum significant region in the image, subsequently improve the existing extraction process. …”
Get full text
Get full text

An image processing technique for mental health assessment from electrophotonic images by Janifal Alipal

“…In brief, through these digital parameters, the energy level of different mental health status in 160 images of healthy and mentally ill subjects is quantified. As a result, by using ERS algorithm, the image quality is improved and the extracted region derives the maximum and minimum significant region in the image, subsequently improve the existing extraction process. …”
Get full text
Get full text
Get full text