Search Results - (( data competency level algorithm ) OR ( java implication based algorithm ))

Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat by Fatima, Jannat

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Assessing the level of competence in automated trading among Malaysian traders by Zarith Sofia, Zulkifli, Hairuddin, Mohammad, Miswan, Surip, Nurnadiah, Zamri, Mustafa, Mamat, Sahimel Azwal, Sulaiman

“…The objective of this research is to figure out the level of competence that Malaysian retail traders have in Automated or Algorithmic Trading (AT) focusing on currency trading. …”
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Cutpoint determination methods in competing risks subdistribution model by Noor Akma Ibrahim, Abdul Kudus, Isa Daud, Mohd. Rizam Abu Bakar

“…Thus, we consider the problem of obtaining a threshold value of a continuous covariate given a competing risk survival time response using a binary partitioning algorithm as a way to optimally partition data into two disjoint sets. …”
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Cutpoint determination methods in competing risks subdistribution model by Ibrahim, Noor Akma, Kudus, Abdul, Daud, Isa, Abu Bakar, Mohd Rizam

“…Thus, we consider the problem of obtaining a threshold value of a continuous covariate given a competing risk survival time response using a binary partitioning algorithm as a way to optimally partition data into two disjoint sets. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Composing multi-relations association rules from crowdsourcing remuneration data by Siti Salwa Salleh, Nurhayati Zakaria, Norjansalika Janom, Syaripah Ruzaini Syed Aris, Noor Habibah Arshad

“…To assign it to a worker, the platform must first identify the types of tasks and match them to the appropriate workers based on their level of competency. Each worker has different ICT competencies which affect work quality and remuneration. …”
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Segmentation of MRI brain images using statistical approaches by Balafar, Mohammad Ali

“…The Dice similarity index for the proposed noise-reduction algorithm on 9% noise level was obtained about 0.918 with considerable improvement compared to NL-means. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Photovoltaic Array Reconfiguration System for Maximizing the Harvested Power Using Population-Based Algorithms by Babu T.S., Yousri D., Balasubramanian K.

A framework of enhanced authentication for PDF textual documents using Zigzag-LSB embedding algorithm by Nur Alya Afikah, Usop

“…Least significant bits (LSB) were used by the techniques to encrypt authentication data. By dispersing the numbered original data as far away from the original locations as feasible, the strategies made use of specific numbering systems. …”
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Synthetic Minority Over-Sampling Technique (SMOTE) and Logistic Model Tree (LMT)-adaptive boosting algorithms for classifying imbalanced datasets of nutrient and chlorophyll suffic... by Amirruddin, Amiratul Diyana, Muharam, Farrah Melissa, Ismail, Mohd Hasmadi, Tan, Ngai Paing, Ismail, Mohd Firdaus

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A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim by Ibrahim, Shafaf

“…The CAPSOCA was proven to be the best algorithm for nosologic segmentation of primary brain tumors from the MRI images data. …”
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Modelling and Forecasting the Kuala Lumpur Composite Index Rate of Returns Using Generalised Autoregressive Conditional Heteroscedasticity Models by Abdul Muthalib, Maiyastri

“…Methods for correcting the outliers and splitting the heterogeneous data are proposed. The EM algorithm is applied to split the heterogeneous data, and the estimated parameters are used to correct the outlying data using the Mahalanobis Distance. …”
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An innovative approach of blending security features in energy-efficient routing for a crowded network of wireless sensors by Pathan, Al-Sakib Khan, Ahmed, Tarem

“…Wireless sensor networks (WSN) are emerging as both an important new tier in the IT (information technology) ecosystem and a rich domain of active research involving hardware and system design, networking, distributed algorithms, programming models, data management, security, and social factors [1,2]. …”
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Neurons to heartbeats: spiking neural networks for electrocardiogram pattern recognition by Wong, Yan Chiew, Mohamad Noor, Nor Amalia Dayana, Mohd Noh, Zarina, Sarban Singh, Ranjit Singh

“…Establishing functioning spiking neural networks (SNN) involves figuring out the neuron’s state through its activity level, challenging due to its resemblance to the human brain’s data processing, yet appealing due to factors like improved unsupervised learning methods, with ten parameters chosen for the learning algorithm of SNN. …”
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Development of a systematic method in lean tool selection for automotive industry by Anvari, Alireza

“…The current research highlighted the role of lean tools on leanness level in automotive industry. The main problem of automotive industry is its focus on process Kaizen instead of flow Kaizen. …”
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Let’s collaborate’: Malaysian TVET-engineering institution and industry partnership by U. S., Subri, N. E., Sohimi, H. M., Affandi, S. M., Noor, F. A. N, Yunus

“…Then, the data were analysed using the PLS-SEM 3.3.9 software via the algorithm, bootstrapping and blindfolding method. …”
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Mitigation of shoulder-surfing attack on picture-based passwords using falsifying authentication methods / Por Lip Yee by Por, Lip Yee

“…In general, the result of the case studies show that the two proposed falsifying authentication methods are able to mitigate shoulder-surfing attack regardless of the gender and competency levels of the shoulder-surfing attackers. …”
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Whole genome sequencing, comparative genomics and virulence factors analyses of Meyerozyma guilliermondii strain soexpression system by Zainudin, Robiatul Azilah

“…Thus, the genome data were generated from Illumina Hiseq 4000 sequencing platform and assembled into 51 scaffolds successfully accumulated into 10.63 Mbp. …”
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Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad by Mohammad, Norhasmira

“…In addition, the software development based on the suggested method is currently in Technology Readiness Level 4, which means the technology has been validated in the lab. …”
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