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

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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Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review by Hashmani, M.A., Jameel, S.M., Rehman, M., Inoue, A.

“…Moreover, it is essential to understand the existing Concept Drift handling techniques to determine their associated pitfalls and propose robust solutions. …”
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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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Using biometric techniques to secure online student assessment: Comparative study by Ibrahim, Jamaludin, Ali, Muna A., Nassr, Rasheed

“…Many proposed solutions use different biometric techniques to identify and authenticate student continuously, they use different techniques with different measures. …”
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Statistics in finance, operation research and forecasting

“…Readers will learn and appreciate the application of such techniques in their respective fields.…”
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Modeling 2D appearance evolution for 3D object categorization by Mohd Zaki, Hasan Firdaus, Shafait, Faisal, Mian, Ajmal

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Reinforcement learning based techniques in uncertain environments: problems and solutions by AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw, Akmeliawati, Rini, Shafie, Amir Akramin, Khan, Sheroz

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A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato... by Alsa’Di, Kawthar, Nik Long, Nik Mohd Asri

“…Moreover, a new hybrid technique which is the combination of deep learning artificial neural network and finite difference method (FDL-ANN) is developed to approximate the solution of higher order VFIDEs. …”
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Integrating Learning Techniques into iCAL4LA-Bijak Matematik Courseware to Motivate Low Achieving Children in Learning by Ahmad, Siti Zulaiha, Abdul Mutalib, Ariffin

“…This study proposed the suitable learning techniques integrated into a learning course ware in order to ensure the children are engaged during the learning process as well as able to accomplish the whole learning content. …”
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Systematic review of intrusion detection system based on machine learning techniques for internet of things by Idris, Muhammad, Md Yasin, Sharifah, Audi, Giade Hamza

“…We highlighted the most efficient machine learning algorithms and feature selection techniques, along with strategies to address issues related to dataset imbalance in benchmarked datasets, with the goal of fostering the development of robust IDS solutions for IoT security.…”
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Assistive Technology For Disabilities: A Case Study Of Autism In Teaching And Learning Outcomes by Omar, Sarah, Bidin, Azman, Koo, Ah Choo

“…A number of studies have highlighted new teaching techniques. There has been a trend in moving towards e-learning technologies in (Agarwal, 2012) and (Kemp, 2015), where those strategies were part of pedagogy techniques in teaching children with special needs. …”
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Synthesis of sign language using multimedia technique / Sharifah Norliza Syed Nariyat by Syed Nariyat, Sharifah Norliza

“…This system make learning more interesting which it replace manual instructor into one system by using multimedia technique. …”
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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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Framework for evaluating and selecting mobile-learning applications using multi criteria decision making techniques by Mohamed, Zuhair Ibrahim

“…The use of mobile learning (m-learning) applications in education has increased dramatically in recent years. …”
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Feature selection optimization using hybrid relief-f with self-adaptive differential evolution by Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran, Ahmad Nazri, Azree Shahrel, Mohamed, Raihani, Abd Manaf, Syaifulnizam

“…The performance of proposed method is compared with several feature selection techniques in order to prove their superiority using ten datasets obtained from UCI machine learning repository.…”
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Optimizing railway safety by analyzing human reliability techniques - A review by M. E., M. Aliza, Ahmad Fitri, Yusop, Mohd Adnin, Hamidi, Muhammad Azri, Muhammed Nor

“…This review provides a comprehensive analysis of the evolution of HRA, from the first-generation techniques to the third-generation approaches currently in use. …”
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Deep learning-based item classification for retail automation by Ling, Ji Xiang

“…This project focuses on developing a deep learning-based system for retail item classification. …”
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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.

“…Sorption can be considered one of the efficient solutions for eradicating HMs from waste water. With this motivation, this article concentrates on the design of Remora Optimization with Deep Learning Enabled Heavy Metal Sorption Efficiency Prediction (RODL-HMSEP) model onto Biochar. …”
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