Search Results - Additive algorithms - study and teaching

Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations by Huang, Alexander A., Huang, Samuel Y.

“…) through bootstrap simulation and SHapely Additive exPlanations (SHAP) could increase model transparency and improve model selection…”
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Exploring Machine Learning-Based Fault Monitoring for Polymer-Based Additive Manufacturing: Challenges and Opportunities by Sampedro, Gabriel Avelino R., Rachmawati, Syifa Maliah, Kim, Dong-Seong, Lee, Jae-Min

“…Three-dimensional printing, often known as additive manufacturing (AM), is a groundbreaking technique that enables rapid prototyping…”
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Online Education vs Traditional Education: Analysis of Student Performance in Computer Science using Shapley Additive Explanations by Charytanowicz, Małgorzata

“…Nowadays, the rapid development of ICT has brought more flexible forms that push the boundaries of classic teaching methodology…”
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A Machine Learning Algorithm to Aid the Development of Repair Materials for Ancient Ceramics via Additive Manufacturing by Ye, Jianhong

“… (ML) algorithm were applied to images of ceramics for the defect identification and repair of ancient ceramics, aided by additive manufacturing (AM…”
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A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks by Nan-Ying Liang, Guang-Bin Huang, Saratchandran, P., Sundararajan, N.

“…) with additive or radial basis function (RBF) hidden nodes in a unified framework. The algorithm is referred to as online sequential extreme learning machine (OS-ELM…”
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Semi-Supervised Learning Classification Based on Generalized Additive Logistic Regression for Corporate Credit Anomaly Detection by Han, Song

“…, while the introduction of non-financial variables can be expected to provide greater diagnostic scope. The present study addresses these issues by proposing a semi-supervised…”
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Biomechanical analysis of the novel S-type dynamic cage by implementation of teaching learning based optimization algorithm - An experimental and finite element study by Manickam, Pechimuthu Susai, Ghosh, Goldina, Shetty, Gautam M., Chowdhury, Amit Roy, Roy, Sandipan

“…•The optimization technique, experimental study and the finite element simulation suggested that the S-type square and elliptical cage as the best for anterior cervical discectomy and fusion surgery…”
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Experimental investigations on natural fiber embedded additive manufacturing-based biodegradable structures for biomedical applications by Mangat, Amarveer Singh, Singh, Sunpreet, Gupta, Munish, Sharma, Ravinder

“… A low-cost desktop time additive manufacturing setup was used for making the customized…”
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Children With Reduced Cognitive Efficiency and Addition of Natural Numbers up to 20: A Case Study by Budínová, Irena, Janík, Tomáš

“…The study deals with teaching and learning the addition of natural numbers up to 20 in the first two years of primary school…”
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Incorporating Machine Learning in Computer-Aided Molecular Design for Fragrance Molecules by Heng, Yi Peng, Lee, Ho Yan, Chong, Jia Wen, Tan, Raymond R., Aviso, Kathleen B., Chemmangattuvalappil, Nishanth G.

“…The demand for new novel flavour and fragrance (F&F) molecules has boosted the need for a systematic approach to designing fragrance molecules. However, the…”
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Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs by Kevin Ho, Chi-Sing Leung, Sum, John

“…) for almost two decades, and several online training algorithms have been proposed in this regard…”
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Decoding contextual factors differentiating adolescents' high, average and low digital reading performance through machine learning methods by Hu, Jie, Peng, Yi, Chen, Xiao

“… The study intends to identify key contextual factors that synergistically differentiate high and low performers, high and average performers, and low and average performers in digital reading…”
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Pemeringkatan Kinerja Dosen pada Perguruan Tinggi Swasta Menggunakan Algoritma Simple Additive Weighting by Mufida, Elly, Iriadi, Nandang, Andriansyah, Doni

“… 20 of 2003 concerning the National Education System. The Tri Dharma of Higher Education is a lecturer's obligation, including Education and Teaching, Research and Development, and Community Service…”
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Development of a prediction model for student teaching satisfaction based on 10 machine learning algorithms by Zhan, Zhonghua, Shen, Tongping

“… This study utilizes a dataset pertaining to student evaluations from Turkey to apply and compare ten machine learning algorithms, namely Random Forest (RF…”
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Moisture absorption study and mechanical property prediction on 3D printed parts using hybrid neural network models by Senthilvel, Divakar, Balasubramanian, K. R., Jinshah, B. S.

“…The effect of printing layer thickness and infill percentage on the water intake ability and mechanical properties of 3D printed PLA (Poly Lactic Acid) parts…”
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Exploring pre-service teachers’ knowledge of efficient calculation strategies by Kumm, Marisa, Graven, Mellony H.

“…: The study explores, what knowledge do third-year FP PSTs have of additive reasoning mental mathematics strategies?Setting…”
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Multirotor UAV—A Multidisciplinary Platform for Teaching Mechatronics Engineering by Kotarski, Denis, Pranjić, Marko, Alharbat, Ayham, Piljek, Petar, Bjažić, Toni

“… This study is based on a PX4 ecosystem combined with the MATLAB Simulink programming environment, covering both hardware and software aspects to support engineering education…”
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Prioritizing the teaching methods of ESD using an integrated fuzzy entropy-SAW algorithm (case study: technical and vocational schools) by Ghassami, Fateme, Yousefi, Elham, Salehi, Esmail

“… Then, the teaching methods were prioritized by applying a fuzzy Simple Additive Weighted (SAW) model. According to the results of the present paper, performance-based learning was the most appropriate method of ESD…”
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A Focus on Addition and Subtraction: Bringing Mathematics Education Research to the Classroom by Ebby, Caroline B., Hulbert, Elizabeth T., Broadhead, Rachel M.

“…’ experiences, this book provides educators with the knowledge and tools needed to modify their lessons and improve student learning of additive reasoning in the primary grades…”
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Analyzing the Interpretability of Machine Learning Prediction on Student Performance Using SHapley Additive exPlanations by Choi, Wan Chong, Lam, Chan-Tong, Mendes, Antonio Jose

“…This study compared several machine learning algorithms to predict student programming learning performance in an online learning environment…”
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