Search Results - machine learning techniques

Textual information analysis on user’s emotion in social media using machine learning technique / Ahmad Danial Musana by Musana, Ahmad Danial

“…This machine learning techniques applied includes Artificial Neural Network (ANN) and Naïve Bayes. …”
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Interpretation of machine learning model using medical record visual analytics by Mohd Khalid, Nur Hidayah, Ismail, Amelia Ritahani, Abdul Aziz, Normaziah

“…There is work that uses visual analytics techniques to interpret the machine learning output to ease the understanding of medical experts. …”
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Interpretation of machine learning model using medical record visual analytics by Mohd Khalid, Nur Hidayah, Ismail, Amelia Ritahani, Abdul Aziz, Normaziah

“…This paper studied on the effectiveness of visual analytics techniques to identify the appropriate technique to be instantiated to the machine learning algorithm to further elaborate the results obtained by demonstrating transparency, interpreta- bility and explainability of the machine learning algorithm. …”
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A review on machine learning in smart antenna: methods and techniques by Mohammed Sadiq, Sulaiman, Nasri, Mohd Isa, Maryam, Hamidon, Mohd Nizar

“…Machine learning is a technique in which a machine learns and improves on its own, based on past data. …”
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Machine learning techniques for software bug prediction: a systematic review by Saharudin, Syahana Nur’Ain, Koh, Tieng Wei, Kew, Si Na

“…In this study, we have narrowed down to 31 main studies and six types of machine learning techniques have been identified. …”
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Predicting Mental Health Disorder On Twitter Using Machine Learning Techniques by Lim, Shi Ru

“…This study attempted to predict mental health disorders among Twitter users using machine learning techniques. Support Vector Machine (SVM), Decision Tree, and Nave Bayes are three examples of machine learning approaches applied in this study. …”
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Stock market prediction using machine learning techniques by Usmani, M., Adil, S.H., Raza, K., Ali, S.S.A.

“…The results suggest that performance of KSE-100 index can be predicted with machine learning techniques. © 2016 IEEE.…”
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A review of deep learning and machine learning techniques for hydrological inflow forecasting by Latif S.D., Ahmed A.N.

“…The AI models utilized for different hydrology sectors, as well as the most prevalent machine learning techniques, will be explored in this thorough study, which divides AI techniques into two primary categories: deep learning and machine learning. …”

Recent developments in machine learning applications in landslide susceptibility mapping by Lun, N.K., Liew, M.S., Matori, A.N., Zawawi, N.A.W.A.

“…The foremost aim of this paper is to narrow these gaps in literature and to review up-to-date machine learning and ensemble learning techniques applied in landslide susceptibility mapping. …”
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Optimization and design of machine learning computational technique for prediction of physical separation process by Haiqing Li, Chairun Nasirin, Azher M. Abed, Dmitry Olegovich Bokov, Lakshmi Thangavelu, Haydar Abdulameer Marhoon, Md Lutfor Rahman

“…Indeed, this work indicates application of machine learning technique for a real physical system and optimization of process parameters to achieve the target. …”
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Suspicious activities detection for anti-money laundering using machine learning techniques by Lim, Aun Chir

“…Machine learning is able to learn complex relationships within large datasets then identify anomalies that deviate from well-defined patterns. …”
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MRI Imaging, Comparison of MRI with other Modalities, Noise in MRI Images and Machine Learning Techniques for Noise Removal : A Review by Sajid Ullah, Khan, Najeeb Ullah, Khan, Irshad, Ahmed, Wang, Yin Chai

“…Computationally intelligent machine learning techniques and their application in medical imaging can play a significant role in expediting the diagnosis process and making it more precise. …”
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Lung cancer prediction using machine learning techniques / Muhammad Muhaimin Mohd Fauzi and Mohd Nizam Osman by Mohd Fauzi, Muhammad Muhaimin, Osman, Mohd Nizam

“…To bypass these limitations, which are caused by the vast size of the data, techniques from the area of machine learning may be used. …”
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Nanofluid heat transfer and machine learning: Insightful review of machine learning for nanofluid heat transfer enhancement in porous media and heat exchangers as sustainable and r... by Riyadi T.W.B., Herawan S.G., Tirta A., Ee Y.J., Hananto A.L., Paristiawan P.A., Yusuf A.A., Venu H., Irianto, Veza I.

“…An interesting hybrid nanofluid-machine learning application involves applying a machine learning method such as Support Vector Machine (SVM) to forecast movement of hybrid nanofluid flows across porous surfaces. …”

Credit Card Fraud Detection Using New Preprocessing And Hybrid Machine Learning Techniques by Gasim, Esraa Faisal Malik

“…The first contribution of this research is to develop a new preprocessing technique that utilizes cost-sensitive learning and resampling techniques at the data-level to improve the performance of highly imbalanced datasets. …”
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Development of an intelligent prediction tool for rice yield based on machine learning techniques by Md. Sap, Mohd. Noor, Awan, A. M.

“…Intelligent systems based on machine learning techniques. such as classification. clustering. are gaining Wide spread popularity in real world applications. …”
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Overview of textual anti-spam filtering techniques by Subramaniam, T., Jalab, H.A., Taqa, A.Y.

“…Each machine learning has its own strengths and limitations as such appropriate preprocessing need to be carefully considered to increase the effectiveness of any given machine learning.…”
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A review on machine learning techniques used for students’ performance prediction by N.H., Abdul Rahman, Sahimel Azwal, Sulaiman, Nor Azuana, Ramli

“…In conclusion, a student’s final grade is the most widely used as a target variable, and the Decision Tree method is the most frequently used machine learning technique by the authors in the previous studies.…”
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Malware detection through machine learning techniques by Amer, Ahmed, Abdul Aziz, Normaziah

“…Our optimized model has achieved 99.38% accuracy with 0.004 false positive rate in 7 minutes running time. We conclude that Machine Learning techniques are practical to be applied as anti-malware solutions including for Zero-day attacks.…”
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A systematic review of machine learning techniques and applications in soil improvement using green materials by Saad, Ahmed Hassan, Nahazanan, Haslinda, Yusuf, Badronnisa, Toha, Siti Fauziah, Alnuaim, Ahmed, El-Mouchi, Ahmed, Elseknidy, Mohamed, Mohammed, Angham Ali

“…According to an extensive evaluation of published studies, there is a shortage of research on systematic literature reviews related to machine learning prediction techniques and methodologies in soil improvement using green materials. …”
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