Search Results - evolution ((((calibration techniques) OR (computing techniques))) OR (mining techniques))

Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee by Hiromi , Wong, Siew , Lan, Valery, Fred Lee

“…The report will cover the literature review that started with an introduction to computer auditing, introduction to data mining, data mining techniques (classification, neural network and sequential analysis), and the existing data mining software. …”
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A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

“…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

“…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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Metric-based code smell detection technique for python software by Leeman, Samaila Ja'afaru

“…There are few literatures that show metric-based approaches have been used to detect code smells in Python Software. However, the techniques require selection of metrics and a tedious calibration of threshold upon which detection is done. …”
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Software-defined instrumentation for microwave network analysis measurement system incorporating virtual calibration technique by Mohd Yassin, Mohd Nazrin

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Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

“…Many statistical and data mining techniques have been used to predict time series stock market. …”
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Optimization of computational intelligence approach for the prediction of glutinous rice dehydration by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…RESULT: The result shows that the optimum computational intelligence techniques include the 3-9-1 topology trained with Bayesian regulation function for ANN, Gaussian kernel function for SVM, Matérn covariance function combined with zero mean function for GPR, boosting method for EoT and 4 minimum leaf size for DT. …”
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A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution by Abdulrazak Yahya, Saleh, Haza Nuzly, Abdull Hamed, Siti Mariyam, Shamsuddin, Ashraf, Osman Ibrahim

“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers by Azmi M.S.M., Sulaiman M.N.

“…In evolution and ubiquitous computing systems, accelerometer-based human activity recognition has huge potential in a large number of application domains. …”

Remote sensing technologies for unlocking new groundwater insights: a comprehensive review by Ibrahim, Abba, Wayayok, Aimrun, Mohd Shafri, Helmi Zulhaidi, Toridi, Noorellimia Mat

“…The evolution of the techniques analyses spans from empirical reliance on sparse point data to the assimilation of multi-platform satellite measurements using sophisticated machine learning algorithms. …”
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Mechanical and grain growth behaviour of wire-arc additive manufacturing (WAAM) of SS316L using experiment and numerical simulation / Muhd Faiz Mat @ Muhammad by Mat @ Muhammad, Muhd Faiz

“…The numerical computational heat distribution in the WAAM model was calibrated by referring to the thermal experiment for verifying the heat transfer coefficients. …”
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Saturation and parabolic effects of Langley Calibration at different altitude levels by Chang H. W. J., Maizan N. H. N., Fuei, Pien Chee, J. Sentian, Kong, Steven, Soon-Kai, Jedol Dayou

“…The performance of the well-known Langley plot technique, used for the calibration of ground-based sunphotometers, has been investigated at three observatory sites of different altitudes. …”
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Vision Based Calibration and Localization Technique for Video Sensor Networks by Mohamed Sharif, Sharif Amar Mohamed Sharif

“…The recent evolutions in embedded systems have now made the video sensor networks a reality. …”
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Overview and future opportunities of sentiment analysis approaches for big data by Mohd Sharef, Nurfadhlina, Mat Zin, Harnani, Nadali, Samaneh

“…SA studies are predicted to be expanded into approaches that utilise scalability, possess high adaptability for source variation, velocity and veracity to maximise value mining for the benefit of the users.…”
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Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization by Yahya, Zainor Ridzuan

“…For each proposed soft computing technique, parameter tuning is done as an essential study. …”
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Mathematical Modeling of Wellbore Flow Behavior in Multilateral Wells by Farah Amalina Azianti Bt Azmi, Farah Amalina Azianti

“…The main objective of this project is to develop the computer codes to model the flow behavior in the lateral of multilateral well. …”
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A review on monocular tracking and mapping: from model-based to data-driven methods by Gadipudi, N., Elamvazuthi, I., Izhar, L.I., Tiwari, L., Hebbalaguppe, R., Lu, C.-K., Doss, A.S.A.

“…Tracking and mapping using a monocular camera is cost-effective, requires less calibration effort, and is easy to deploy across a wide range of applications. …”
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Global Trends of Educational Data Mining in Online Learning by Chen, Chwen Jen, Teh, Chee Siong, Dexter Sigan, John

“…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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Stacking with recursive feature elimination-isolation forest for classification of diabetes mellitus by Nur Farahaina, Idris, Mohd Arfian, Ismail, Mohd Izham, Mohd Jaya, Ashraf Osman, Ibrahim, Abulfaraj, Anas W., Binzagr, Faisal

“…Among the advanced data mining techniques in artificial intelligence, stacking is among the most prominent methods applied in the diabetes domain. …”
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Stacking with recursive feature elimination-isolation forest for classification of diabetes mellitus by Nur Farahaina, Idris, Mohd Arfian, Ismail, Mohd Izham, Mohd Jaya, Ashraf Osman, Ibrahim, Abulfaraj, Anas W., Binzagr, Faisal

“…Among the advanced data mining techniques in artificial intelligence, stacking is among the most prominent methods applied in the diabetes domain. …”
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