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A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions
Published 2025“…There are several stages in developing a KMS, namely compiling data requirements for the four lecturer competencies: pedagogical competency, professional competency, personality competency, and social competency. …”
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Permodelan Rangkaian Neural Buatan Untuk Penilaian Kendiri Teknologi Maklumat Guru Pelatih
Published 2001“…The data was collected from various field of studies among teacher trainees in teacher training institutes. …”
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Cross cultural competence, human resource management practices, cross cultural adjustment and adaptive performance among Jordanian military leaders in United Nations peacekeeping
Published 2014“…The Partial Least Squares Method (PLS) algorithm and the bootstrap techniques were used to test the hypotheses. …”
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Capabilities and competencies related to leadership performance effectiveness in the context of change in Malaysian Higher Education Institutions / Majid Ghasemy
Published 2017“…More than 400 surveys were collected, among which only 368 surveys were appropriate for data analysis. …”
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An evaluation of feature selection technique for dendrite cell algorithm
Published 2014“…Although there are many feature selection algorithms have been used in identifying appropriate features for dendrite cell signals, there are algorithms that never been investigated and limited work to compare performance among them. …”
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What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility
Published 2024“…Results: The analysis revealed that all three intrinsic needs—competence, autonomy, and relatedness—along with social media algorithms and source credibility, positively correlated with fitness-related health information use behaviors among youth. …”
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Composing multi-relations association rules from crowdsourcing remuneration data
Published 2022“…The data comprise a lot of redundancies, therefore an apriori algorithm is used to normalise it by removing redundancies and then extracting significant patterns. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
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Breast cancer disease classification using fuzzy-ID3 algorithm based on association function
Published 2022“…The FID3-AF algorithm is a hybridisation of the fuzzy system, the iterative dichotomizer 3 (ID3) algorithm, and the association function. …”
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A study on obstacle detection for IoT based automated guided vehicle (AGV)
Published 2022“…In order to improve obstacle detection in the AGV prototype, Kalman Filtering (KF) algorithm is used in the signal filtering for the HC-SR04 Ultrasonic Sensor data acquisition. …”
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Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi
Published 2014“…Furthermore, MLS efficiently reduces the computation complexity and distributes the energy expenditure among sensors in the network. The second algorithm demonstrated in this study is Dynamic k-coverage Scheduling Algorithm (D£CS), to prolong the network lifetime and preserve the required k-coverage in WSNs. …”
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Identifying football conflict using soft-set theory in Indonesia super league / Kukuh Wahyudin Pratama
Published 2021“…Back in 2015, Indonesia has no an official football competition for almost a year when FIFA banned the Football Association of Indonesia for competing in any international competitions until the internal conflict among their agents were resolved. …”
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Prediction of mental health among university students
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Local and global measures for measuring performance of big data analytics process
Published 2019“…More has been written about the quality of big data, its dimensions and algorithms applied on data to solve complex problems. …”
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Modeling of Cu(II) adsorption from an aqueous solution using an Artificial Neural Network (ANN)
Published 2020“…The Fletcher-Reeves conjugate gradient backpropagation (BP) algorithm was the best fit among all of the tested algorithms (mean squared error (MSE) of 3.84 and R2 of 0.989). …”
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