Search Results - (( developing features window algorithm ) OR ( java adaptation optimization algorithm ))

Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

Jawi sub-word recognition system using window-based segmentation-free approach / Roslim Mohamad by Mohamad, Roslim

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

“…This project aims at developing an automated epileptic seizure event detection algorithm. …”
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Comparison of malware detection model using supervised machine learning algorithms / Syamir Mohd Shahirudin by Mohd Shahirudin, Syamir

“…The objective of this project is to develop the Windows malware detection model using supervised machine learning in Decision Tree, K-NN and Naïve Bayes, to evaluate the performance of malware detection in term of testing and training of the features selection and to compare the accuracy detection model in all three machine learning algorithms. …”
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Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction by Alkawsi G., Al-amri R., Baashar Y., Ghorashi S., Alabdulkreem E., Kiong Tiong S.

“…Lately, a fully online buffer-based clustering algorithm for handling evolving data streams (BOCEDS) was developed. …”

Using streaming data algorithm for intrusion detection on the vehicular controller area network by Sharmin, Shaila, Mansor, Hafizah, Abdul Kadir, Andi Fitriah, Abdul Aziz, Normaziah

“…This has prompted researchers to develop statistical and machine learning based intrusion detection systems for the CAN bus that use various features such as message timing and frequency to detect attacks. …”
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ALC cleaning device / Nur Liyana Sujak … [et al.] by Sujak, Nur Liyana, Azizan, Nur Azfarah, Rasid, Nur Amira, Yaacob, Hidayati Mardhiah, Borhan, Atikah

“…Compared to the current cleaner machine, this product has rapid cleaning action since it uses laser as the cleaning device. For safety features, this product has an anti-dropping algorithm thus limit the risk of it accidentally dropping from the window.…”
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Predictive dynamic CFD approach to reducing airborne transmission in naturally ventilated hospital rooms: Impact of window opening angles during transitional cold seasons in China... by Haowei , Yu

“…Stepwise polynomial regression has been validated as a novel algorithm that can effectively predict window opening angles. …”
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Efficient hardware design for palm-dorsa vein image enhancement by Jusoh@Yusoff, Suhaimi Bahisham

“…The aim of this thesis is to develop hardware design for palm-dorsa vein image enhancement algorithm. …”
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A windows-based tool for power flow analysis and DG optimisation in radial distribution networks by Akorede, Mudathir Funsho, Hizam, Hashim, Aris, Ishak, Ab Kadir, Mohd Zainal Abidin, Hojabri, Mojgan

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Studies on the application of wavelet families for a high impedance fault location algorithm in a distribution network by Ali, M.S., Bakar, Ab Halim Abu, Tan, Chia Kwang, Mokhlis, Hazlie, Arof, Hamzah

“…This paper will present an enhanced high impedance fault location algorithm based on the database technique. This paper is an extension of a faulty section identification algorithm developed previously. …”
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New CFAR algorithm and circuit development for radar receiver by Kamal, Mustafa Subhi

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Retinal image blood vessel extraction and quantification with Euclidean distance transform approach by Kuryati, Kipli, Mohammed Enamul, Hoque, Lik, Thai Lim, Tengku Mohd Afendi, Zulcaffle, Siti Kudnie, Sahari, Muhammad Hamdi, Mahmood

“…This newly developed algorithm computes the Euclidean distance of the remaining white pixels on the area of interest. …”
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Application of minimax algorithm in dots and boxes game by Tan, Ah Hwa

“…The research process included designing and developing a functional Dots and Boxes game prototype using C# and the Universal Windows Platform (UWP), featuring a user-friendly interface and customizable settings. …”
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Comparison of supervised machine learning algorithms for malware detection / Mohd Faris Mohd Fuzi ... [et al.] by Mohd Fuzi, Mohd Faris, Mohd Shahirudin, Syamir, Abd Halim, Iman Hazwam, Jamaluddin, Muhammad Nabil Fikri

“…This study was solely concerned with the Windows malware dataset. The malware classification was determined by testing and training the supervised ML algorithms using the extracted features from the malware dataset. …”
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Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

“…Additionally, IPO_Agent not only produces the same PAC’s output results, but also generates module number and represents these results in another window. Finally,Algorithm_Agent employs the extracted information provided by IPO_Agent to produce the pseudo-code of the given problem and shows it in separate window. …”
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Comparative Analysis Using Bayesian Approach To Neural Network Of Translational Initiation Sites In Alternative Polymorphic Contex by Herman, Nanna Suryana, Husin, Nurul Arneida, Hussin, Burairah

“…The objectives of this paper are to develop useful algorithms and to build a new classification model for the case study.The first approach of neural network includes training on algorithms of Resilient Backpropagation,Scaled Conjugate Gradient Backpropagation and Levenberg-Marquardt.The outputs are used in comparison with Bayesian Neural Network for efficiency comparison.The results showed that Resilient Backpropagation have the consistency in all measurement but performs less in accuracy.In second approach,the Bayesian Classifier_01 outperforms the Resilient Backpropagation by successfully increasing the overall prediction accuracy by 16.0%.The Bayesian Classifier_02 is built to improve the accuracy by adding new features of chemical properties as selected by the Information Gain Ratio method,and increasing the length of the window sequence to 201.The result shows that the built model successfully increases the accuracy by 96.0%.In comparison,the Bayesian model outperforms Tikole and Sankararamakrishnan (2008) by increasing the sensitivity by 10% and specificity by 26%. …”
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Seismic wave modeling and high-resolution imaging by Bashir, Y., Ghosh, D.P., Alashloo, S.Y.M.

“…To avoid this, careful image preprocessing is recommended, and two algorithms to preserve these diffractions are developed. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Development of a Production Planning and Control Software in Total Productivity Maintenance Environment by Lee, Pang Seng

“…This program has been created in Window format and encoded using Microsoft Visual Basic 6.0. …”
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