Search Results - (evolution OR solution) ((learning techniques) OR (evaluation techniques))

PMT : opposition based learning technique for enhancing metaheuristic algorithms performance by Hammoudeh, S. Alamri

“…Unlike existing OBL-based techniques, the PMT generates more than one candidate in multiple solution-space directions. …”
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PMT: opposition-based learning technique for enhancing meta-heuristic performance by Alamri, Hammoudeh S., Kamal Z., Zamli

“…Unlike existing OBL-based techniques, the PMT generates more than one candidate in multiple solution-space directions. …”
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Broadening selection competitive constraint handling algorithm for faster convergence by Shaikh, T.A., Hussain, S.S., Tanweer, M.R., Hashmani, M.A.

“…The median convergence traces have been compared with two different algorithms based on differential evolution, i:e: Ensemble of Constraint Handling Techniques (ECHT) and Stochastic Ranking Differential Evolution (SRDE). …”
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Framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques by Mohamed, Zuhair Ibrahim

“…Therefore, this study addresses this gap by proposing a framework to support and improve m-learning applications evaluation and selection process named as Mobile-Learning Application Evaluation and Selection Framework (MLA-ESF). …”
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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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Comparison of detection model using machine learning on android malware / Muhammad Ikmal Ihsan by Ihsan, Muhammad Ikmal

“…The result of the comparison using the machine learning techniques for Android malware dataset discovered that SVM machine learning get the highest percentage with accuracy of 0.93. …”
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Integrated approach for improving cross-project software defect prediction performance by Bala, Yahaya Zakariyau

“…Secondly, to integrate these techniques into a TFSM and implement. Thirdly, to evaluate each technique and the integrated approach. …”
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Developing solution scheme to grade online student's workout answer on linear algebraic equation / Khairul Nurmazianna Ismail by Ismail, Khairul Nurmazianna

“…Secondly, permutation technique is used to increase the number of solutions. …”
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Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy technique for Order Of Preference By Similarity To Ideal Solution (TOPSIS) in selecting the best Information Technology (IT) progr... by Shah Bani, Nurshafiqah Aina

“…To deal with subjectivity and uncertainty in pairwise comparisons of evaluation criteria, the FAHP technique results in a more accurate and broad weighting of these factors. …”
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Deep learning-based item classification for retail automation by Ling, Ji Xiang

“…Real-time processing was achieved through the integration of object detection algorithms like YOLO and image segmentation techniques. The final system was deployed and tested in a simulated retail environment, where its performance was evaluated using metrics such as accuracy, precision, recall and F1-score. …”
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Critical review of object detection techniques for traffic light detection in intelligent transportation systems by Muhammad Adhwa, Mohd Salemi, Muhammad Arif, Mohamad

“…This study provides a critical review of object detection techniques specifically for traffic light detection, evaluating the evolution of machine learning frameworks, deep learning architectures, and hybrid optimization models. …”
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Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms by Alswaitti, Mohammed Y. T.

“…Moreover, the balance between the exploration and exploitation processes in the DPSO framework is considered using a combination of (i) a kernel density estimation technique associated with new bandwidth estimation method and (ii) estimated multi-dimensional gravitational learning coefficients. …”
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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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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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State-of-the-Art Review on the Acoustic Emission Source Localization Techniques by Hassan, F., Mahmood, A.K.B., Yahya, N., Saboor, A., Abbas, M.Z., Khan, Z., Rimsan, M.

“…However, existing review papers do not focus on the performance evaluation of existing source localization techniques. …”
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Email spam classification based on deep learning methods: A review by Tusher, Ekramul Haque, Mohd Arfian, Ismail, Anis Farihan, Mat Raffei

“…Deep learning has become a potent collection of techniques for addressing intricate issues such as spam classification in recent times. …”
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Evaluating the effectiveness of machine learning and computer vision techniques for the early detection of maize plant disease by Njazi, Shaun Tatenda, Zainuddin, Ahmad Anwar, Ahmad Puzi, Asmarani, Mohd Abu Bakar, Nur Athirah, Ramada, Aly Mennatallah Khaled Mohammad, Hamizan, Hasbullah, Sahak, Rohilah, Mat Rosani, Aiman Najmi, Ghazalli, Nasyitah, Abdul Rahman, Siti Husna, Kamarudin, Saidatul Izyanie

“…The workflow for machine learning consists of data collection, data preprocessing, model selection, model training and testing, and evaluation.…”
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Study on crack detection using image processing techniques and deep learning – a survey by Saleem, Muhammad Asif, Senan, Norhalina, Ahmad, Rehan

“…So it very well may be done consequently by utilizing image processing. Deep learning algorithms have been used for the solution of multiple issues in the area of image classification. …”
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Exploration study of the potential of weaving techniques in metal application / Rozita Shamsuddin by Shamsuddin, Rozita

“…An observation towards weaving technique aim to understand and learned how the process of the technique was done. …”
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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.

“…To evaluate the proposed voting technique, the performance of selected individual classifiers and existing voting technique was first examined, followed by the experiment to determine the performance of the proposed model. …”