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

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

“…The decision to purchase m-learning applications needs systematic guidelines so that the appropriate one can be selected to provide a viable and effective solution to educational organizations. …”
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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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A survey and analysis of feature selection techniques in machine learning for IoT device classification within smart buildings by Waseem, Quadri, Wan Isni Sofiah, Wan Din, Azamuddin, Ab Rahman, Naqeeb Khan, Sundas, Busaeed, Raed Abdullah Abobakr, Fairooz, Towfeeq

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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

“…The main objective is achieved through three research activities, which are (i) learning techniques selection, (ii) design and development of course ware, and (iii) user experience testing. …”
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Improved whale optimization algorithm for feature selection in Arabic sentiment analysis by Tubishat, Mohammad, Abushariah, Mohammad A.M., Idris, Norisma, Aljarah, Ibrahim

“…In addition, we also used Information Gain (IG) as a filter features selection technique with WOA using Support Vector Machine (SVM) classifier to reduce the search space explored by WOA. …”
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Examining the impact of feature selection techniques on machine and deep learning models for the prediction of COVID-19 / Hafiza Zoya Mojahid ... [et al.] by Mojahid, Hafiza Zoya, Mohamad Zain, Jasni, Yusoff, Marina, Basit, Abdul, Jumaat, Abdul Kadir, Ali, Mushtaq

“…This research aims to provide insights into the optimal integration of feature selection techniques with advanced machine learning models for accurate prediction of COVID-19 virus.…”
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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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Perceived Challenges and Solutions in Implementing E-Learning as Edutainment Approach Among Educators and Students at Selected Universities in Malaysia by Desmond, Cheah Swee Cheong

“…Edutainment involves the practice of teaching and learning in a light-hearted and informal setting, utilizing techniques such as role-playing, simulations, and games. …”
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Integrated approach for improving cross-project software defect prediction performance by Bala, Yahaya Zakariyau

“…To tackle these challenges, this study proposes a holistic approach named Transformation, Feature Selection, and Multi-learning (TFSM). This research is divided into three objectives: firstly, to proposed transformation, feature selection and multi-learning techniques that can mitigate distribution differences between datasets, identify and eliminate redundant features and combat model overfitting, respectively. …”
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BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning by Chimeleze C., Jamil N., Ismail R., Lam K.-Y., Teh J.S., Samual J., Akachukwu Okeke C.

Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation by Ahmadipour, Masoud

“…Furthermore, to evaluate the efficiency of the proposed modified differential evolution for the training of ridgelet probabilistic neural network, four statistical search techniques, namely, particle swarm optimization, genetic algorithm, simulated angling, and classical differential evolution are used and their results are compared. …”
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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) programs based on employer perspective / Nurshafiqah Aina Shah Bani by Shah Bani, Nurshafiqah Aina

“…The main criteria and sub-criteria that can be considered include technical skills (programming languages, database management, and cloud computing), soft skills (communication, teamwork, and adaptability), educational background (relevant degree, and continuous learning), and a few other criteria. This research aims to evaluate the employer perspective in choosing the best programs in the IT field by using the Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). …”
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An adaptive opposition-based learning selection: The case for jaya algorithm by Nasser, Abdullah B., Kamal Z., Zamli, Hujainah, Fadhl, Ghanem, Waheed Ali H. M., Saad, Abdul-Malik H. Y., Mohammed Alduais, Nayef Abdulwahab

“…Over the years, opposition-based Learning (OBL) technique has been proven to effectively enhance the convergence of meta-heuristic algorithms. …”
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Artificial Bee Colony With Differential Evolution Algorithm For Feature Extraction And Selection Of Mass Spectrometry Data by Mohamed Yusoff, Syarifah Adilah

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IoT intrusion detection using auto-encoder and machine learning techniques by Khudhu, Ahmed Ridha, Samsudin, Khairulmizam

“…Yet, the featureselection techniques used in the literature were based on feature selectionrather than a reduction in which individual solutions are being selected. …”
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Approaches to Multi-Objective Feature Selection: A Systematic Literature Review by Al-Tashi, Q., Abdulkadir, S.J., Rais, H.M., Mirjalili, S., Alhussian, H.

“…As a result, several studies have been conducted on multi-objective feature selection through numerous multi-objective techniques and algorithms. …”
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Successor selection for Ant Colony Optimization technique algorithm / Muhammad Iskandar Isman by Isman, Muhammad Iskandar

“…ACO algorithm is the best solution because it included the optimization technique to optimized the result based on the data criteria needs. …”
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