Search Results - solution ((validation technique) OR (learning techniques))

Framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques by Mohamed, Zuhair Ibrahim

“…The study is conducted in four main phases: a survey and interview of decision-makers and users to identify the evaluation criteria, development of the framework based on the Evaluation Theory, development of a new decision-making technique by integrating Fuzzy Analytical Hierarchy Process (FAHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and GAP Analysis (GA) to handle user requirements mismatches, and validation of the applicability and reliability of MLAESF using experts review, case study and yardstick validation. …”
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Modeling of Remora Optimization with Deep Learning Enabled Heavy Metal Sorption Efficiency Prediction onto Biochar by Almalawi, A., Khan, A.I., Alqurashi, F., Abushark, Y.B., Alam, M.M., Qaiyum, S.

“…Besides, deep belief network (DBN) model was employed for prediction and the efficiency of the DBN model is optimally adjusted with utilize of RO technique. The experimental validation of the RODL-HMSEP technique ensured the promising performance of the RODL-HMSEP technique on the prediction of sorption efficiency onto biochar over other methods The experimental validation of the RODL-HMSEP technique ensured the promising performance of the RODL-HMSEP technique on the prediction of sorption efficiency onto biochar over other methods. …”
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Modeling of Remora Optimization with Deep Learning Enabled Heavy Metal Sorption Efficiency Prediction onto Biochar by Almalawi, A., Khan, A.I., Alqurashi, F., Abushark, Y.B., Alam, M.M., Qaiyum, S.

“…Besides, deep belief network (DBN) model was employed for prediction and the efficiency of the DBN model is optimally adjusted with utilize of RO technique. The experimental validation of the RODL-HMSEP technique ensured the promising performance of the RODL-HMSEP technique on the prediction of sorption efficiency onto biochar over other methods The experimental validation of the RODL-HMSEP technique ensured the promising performance of the RODL-HMSEP technique on the prediction of sorption efficiency onto biochar over other methods. …”
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Menyemak Jawapan Soalan Subjektif Menggunakan Pendekatan Pemprosesan Bahasa Tabii by Abas, Zulhazlin

“…The learning system in this study utilizes the natural language processing technique in order to receive subjective answers from the users. …”
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Prediction of Corrosion in Pipeline by using Deep Learning by BAHARUDIN, NUR FARAHIN

“…In addition, the accuracy of data will be validated by using the Cross-Validation technique in order to choose the lowest RMSE and best suited of LSTM model. …”
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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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Detection of DDoS attacks in IoT networks using machine learning algorithms by Abdulrahman Alwan, Alwan Ahmed, Shah, Asadullah, Abdulrahman Alwan, Alwan Abdullah, Laghari, Shams Ul Arfeen

“…Future work will focus on exploring additional feature selection methods, integrating deep learning techniques, and validating the models in real-world IoT environments.…”
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Breast Cancer Detection by Hybrid Techniques based on Deep Learning Networks by Azlan, N.A.N., Elamvazuthi, I., Tang, T.B., Lu, C.-K.

“…Lastly, k-fold cross-validation techniques were executed to validate the results and obtained the average reading for both training and testing datasets. …”
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Determination of suitable resource discovery tool and methodology for high-volume internet of things (IoT) by Jamal, A.A., Bakar, M.T.A.

“…The findings empirically support the validation of the Q-Learning model improvement for high-volume IoT resource discovery cases. …”
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Industrial datasets with ICS testbed and attack detection using machine learning techniques by Mubarak, Sinil, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Balla, Asaad, Tahir, Mohammad, Elsheikh, Elfatih A A, Suliman, F M

“…The deep learning (DL) techniques has been used recently for enhanced OT intrusion detection performances.…”
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Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issue... by Abdulsahib A.A., Mahmoud M.A., Mohammed M.A., Rasheed H.H., Mostafa S.A., Maashi M.S.

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

“…But the large number of available prevention techniques make the selection of the best solution a big challenge, because not every technique fit all types of web application, hence a one technique for all is another issue and a difficult task. …”
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Analytical framework for predicting online purchasing behavior in Malaysia using a machine learning approach by Mustakim, Nurul Ain

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Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms by Choong, Chun Sern

“…The objective of this work attempts to define the pallet level of the stacked RFID tags through the machine learning techniques framework. The methodology started with the pallet-level which firstly determined by manual clustering according to the product code number of the tags that were manufactured for defining the actual level. …”
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Artificial intelligence-driven detection of android malware using machine learning techniques by Amir Muhammad Hafiz, Othman, Mohd Faizal, Ab Razak, Salwana, Mohamad, Sofia Najwa, Ramli

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Face Recognition Approach using an Enhanced Particle Swarm Optimization and Support Vector Machine by Saad, Wasan Kadhim, Jabbar, Waheb A., Abbas, Ahmed Abdul Rudah

“…In the feature extraction process, the PCA algorithm is used for that purpose and the resulted features are delivered to the proposed technique in order to classify the face images. Two human face datasets are used in the experimentation stage such as, SCface dataset and CASIA face dataset in order to validate the performance of the proposed technique. …”
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Breast Cancer Detection by Artificial Intelligence Technologies by Azlan, Nur Aainaa Nadirah

“…Lastly, 5-fold cross validation techniques were executed to validate the results and obtain the average reading for both training and testing dataset. …”
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Predictive modelling on competitor analysis performance by using generalised linear models and machine learning approach by Noryanti, Muhammad, Mohamad Nadzman, Mohd Amin, Rose Adzreen, Adnan, Nunkaw, Orasa

“…The accuracy is tested by using the error rates of the machine learning technique which are Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and R-squared. …”
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The classification of skateboarding trick images by means of transfer learning and machine learning models by Muhammad Nur Aiman, Shapiee

“…The grid search optimization technique through five-fold cross-validation was used to tune the hyperparameters of the classifiers evaluated. …”
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Enhanced incremental dynamic community detection for improving the stability of community structure in network analysis by Hairol Anuar, Siti Haryanti

“…The experimental results were further validated using real-world network datasets to confirm the stability of the proposed technique. …”
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