Search Results - (( java implementation modified algorithm ) OR ( using auto machine algorithm ))

Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
Get full text
Get full text

Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior by Rahman, R.A., Masrom, S., Mohamad, M., Sari, E.N., Saragih, F., Rahman, A.S.A.

“…Therefore, this paper presents an automated machine learning (AutoML) to simplify and accelerate the modeling tasks. …”
Get full text
Get full text

Recognition of Machined Features from Solid Database of Prismatic Components by Ismail, Napsiah, Abu Bakar, Nooh

“…Boundary r~presentation of solid modelling is used to model a prismatic component. The system is developed entirely in the AutoCAD environment, and the AutoLISP language was used to build the recognition system as it has direct access to the database. …”
Get full text
Get full text

Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China by Sattar Hanoon M., Najah Ahmed A., Razzaq A., Oudah A.Y., Alkhayyat A., Feng Huang Y., kumar P., El-Shafie A.

“…In this study, different supervised and unsupervised machine learning algorithms are proposed: artificial neural network (ANN), AutoRegressive Integrated Moving Aveage (ARIMA) and support vector machine (SVM). …”

Earthquake prediction model based on geomagnetic field data using automated machine learning by Yusof, Khairul Adib, Mashohor, Syamsiah, Abdullah, Mardina, Amiruddin, Mohd, Rahman, Abd, Abdul Hamid, Nurul Shazana, Qaedi, Kasyful, Matori, Khamirul Amin, Hayakawa, Masashi

“…Several features were extracted from them through wavelet scattering transform (WST). The features were used as the input to model optimization, of which the strategy for automatic algorithm selection and hyperparameter tuning was performed based on the asynchronous successive halving algorithm (ASHA). …”
Get full text
Get full text

Glass break detection system using deep auto encoders with fuzzy rules induction algorithm by Nyein Naing, Wai Yan, Htike, Zaw Zaw

“…This paper proposes a new design of a glass break detection algorithm based on Fuzzy Deep Auto-encoder Neural Network. …”
Get full text
Get full text
Get full text
Get full text

OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”

Multi-class classification automated machine learning for predicting earthquakes using global geomagnetic field data by Qaedi, Kasyful, Abdullah, Mardina, Yusof, Khairul Adib, Hayakawa, Masashi, Zulhamidi, Nur Fatin Irdina

“…Through statistical analysis, important features were extracted and a multi-class classification model using geomagnetic data was created. The extracted features were the input for AutoML, an automatic algorithm selection that was measured by Bayesian Optimization algorithm to select the best performance model. …”
Get full text
Get full text
Get full text

End of Project: RIGS16-350-0514 by Htike@Muhammad Yusof, Zaw Zaw

“…This project proposes a novel machine learning algorithm called deep auto encoder network for learning the glass break model in a semi-supervised manner from audio data and for accurate detection of glass break sounds using unordered fuzzy rule induction algorithm.…”
Get full text
Get full text

Auto raise hand in Microsoft teams (API/Extension) by Teh, Boon Hin

“…Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
Get full text
Get full text

Prevention And Detection Mechanism For Security In Passive Rfid System by Khor, Jing Huey

“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
Get full text
Get full text

Analytical Study Of Machine Learning Models For Stock Trading In Malaysian Market by Hazirah Halul

“…By setting the ML algorithms and their parameter along with using Walk-Forward Analysis (WFA) method, the algorithm design of trading signal was evaluated based on two groups of evaluation indicators, namely directional and performance. …”

Support Vector Machines (SVM) in Test Extraction by Ghazali, Nadirah

“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
Get full text
Get full text

Support Vector Machines (SVM) in Test Extraction by Ghazali, Nadirah

“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
Get full text
Get full text

Automatic generation of content security policy to mitigate cross site scripting by Mhana, Samer Attallah, Din, Jamilah, Atan, Rodziah

“…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
Get full text
Get full text

Carbon dioxide reforming of methane over Ni-based catalysts: Modeling the effect of process parameters on greenhouse gasses conversion using supervised machine learning algorithms by Ayodele B.V., Alsaffar M.A., Mustapa S.I., Kanthasamy R., Wongsakulphasatch S., Cheng C.K.

The application of computer aided design and manufacturing (CAD/CAM) for teaching aid / Noorashidi Nazari by Nazari, Noorashidi

“…This project also include the algorithms to improve the efficiency of machining which in an extension of the primitives CNC procedures. …”
Get full text
Get full text

Auto-encoder variants for solving handwritten digits classification problem by Aamir, Muhammad, Mohd Nawi, Nazri, Mahdin, Hairulnizam, Naseem, Rashid, Zulqarnain, Muhammad

“…Auto-encoders (AEs) have been proposed for solving many problems in the domain of machine learning and deep learning since the last few decades. …”
Get full text
Get full text
Get full text

Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset by Amirruddin, A., Aziz, I.A., Hasan, M.H.

Get full text
Get full text

A student learning style auto-detection model in a learning management system by Rashid, Amirah, Raja Ikram, Raja Rina, Thamilarasan, Yarshini, Salahuddin, Lizawati, Abd Yusof, Noor Fazilla, Rashid, Zakiah

“…Future studies include the use of machine learning algorithms such as decision trees to auto-detect student learning styles in learning management systems.…”
Get full text
Get full text
Get full text
Get full text