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The use of SOM for fingerprint classification by Turky A.M., Ahmad M.S.

“…In order to be able to deal with fingerprint images having distorted regions, the SOM learning and classification algorithms are modified. …”

Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis by Kabir Ahmad, Farzana, Kamaruddin, Siti Sakira, Yusof, Yuhanis, Yusoff, Nooraini

“…Thus, this study proposed a Bat Algorithm (BA) to address the complex learning structure of DBN in detecting sentiment patterns. …”
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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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A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani by Mahmoud Reza, Saybani

“…The proposed algorithms have been tested on a variety of datasets from the UCI machine learning repository. …”
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An improved back propagation leaning algorithm using second order methods with gain parameter by Mohd Nawi, Nazri, Mohamed Saufi, Noor Haliza, Budiyono, Avon, Abdul Hamid, Noorhamreeza, Rehman Gillani, Syed Muhammad Zubair, Ramli, Azizul Azhar

“…Back Propagation (BP) algorithm is one of the oldest learning techniques used by Artificial Neural Networks (ANN). …”
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A modified group authentication scheme for machine type communication in LTE/LTE-a networks by Ismail, Haqi Khalid

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Meta-cognitive Recurrent Recursive Kernel OS-ELM for concept drift handling by Liu, Zongying, Loo, Chu Kiong, Seera, Manjeevan

“…Meta-cognitive learning strategy decides when the incoming data needs to be updated, retrained, or discarded during learning and automatically finding ALD threshold that reduces the learning time of prediction model. …”
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications. by S. Ahmed, Bestoun, Enoiu, Eduard, Afzal, Wasif, Kamal Z., Zamli

“…The results show the Q-EMCQ is also capable of outperforming the original EMCQ as well as several recent meta/hyper-heuristic including modified choice function, Tabu high-level hyperheuristic, teaching learning-based optimization, sine cosine algorithm, and symbiotic optimization search in clustering quality within comparable execution time.…”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network by Zafar, R., Kamel, N., Naufal, M., Malik, A.S., Dass, S.C., Ahmad, R.F., Abdullah, J.M., Reza, F.

“…In recent years, Convolutional neural network (CNN) has become a popular method for the extraction of features due to its higher accuracy, however it needs a lot of computation and training data. In this study, an algorithm is developed using Multivariate pattern analysis (MVPA) and modified CNN to decode the behavior of brain for different images with limited data set. …”
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Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms by Yafouz A., Ahmed A.N., Zaini N., Sherif M., Sefelnasr A., El-Shafie A.

Dimensional Reduction and Data Visualization Using Hybrid Artificial Neural Networks by Chee, Siong Teh, Ming, Leong Yii, Chen, Chwen Jen

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Dimensional reduction and data visualization using hybrid artificial neural networks. by Teh, Chee Siong, Yii, M.L., Chen, Chwen Jen

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Modeling the effect of process parameters on the photocatalytic degradation of organic pollutants using artificial neural networks by Ayodele B.V., Alsaffar M.A., Mustapa S.I., Cheng C.K., Witoon T.

Dimensional reduction and data visualization using hybrid artificial neural networks. by Chee, Siong Teh, Ming, Leong Yii, Chen, Chwen Jen

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Malware Detection using Deep Learning (DL) by Chowdhury Sajadul Islam, Madihah Mohd Saudi, Nur Hafiza Zakaria, Muji Setiyo

Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi by Hayder Faeq Rasool , Alhashimi

“…Finally, a State-Action-Reward-State-Action (SARSA) algorithm, which is a reinforcement learning approach, is proposed to solve the power allocation optimization problem. …”
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VOBcal: variant of bracketing method calculator by Idalisa, Nur, Baki, Nur Afriza, Zamani, Muhammad Athir, Hussian, Nurul Hafawati Fadhilah, Fakhri, Imza

“…The interface of VOBcal contains five different variants of bracketing methods which are Bisection, Modified Bisection Algorithm, Trisection, and Regula Falsi programmed together with MATLAB built-in function named fzero. …”
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