Step-by-Step Method: Can it improve triple jump learning outcomes? by Arifin Arifin, Y. Touvan Juni Samodra, Edi Purnomo

Subjects: “…step by step…”
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Steps of learning strategies in social science learning activities by Irwan Satria

“…The results of this study in the form of implementing learning strategies in learning activities in the field of social science are generally divided into three steps, namely planning; time, sequence of learning activities, methods, media/learning materials, implementation; preliminary activities, core activities and closing activities and follow-up and end with evaluation; test and non-test. …”
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Decoding Radiomics: A Step-by-Step Guide to Machine Learning Workflow in Hand-Crafted and Deep Learning Radiomics Studies by Maurizio Cè, Marius Dumitru Chiriac, Andrea Cozzi, Laura Macrì, Francesca Lucrezia Rabaiotti, Giovanni Irmici, Deborah Fazzini, Gianpaolo Carrafiello, Michaela Cellina

“…Furthermore, given the critical importance of evaluating the robustness of radiomics studies, this review offers a step-by-step guide to the application of the METhodological RadiomICs Score (METRICS, 2024)—a newly proposed tool for assessing the quality of radiomics studies. …”
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Step by Step: promoting understanding of scientific texts through gradually built-up concept maps in informal collaboration by Leonie Disch, Angela Fessl, Simone Franza, Joachim Kimmerle, Viktoria Pammer-Schindler

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STEP-BY-STEP TESTING METHOD: JOINT ASSESSMENT OF THE TRAINING LEVEL AND THE COMPLEXITY OF ASSIGNMENT by Ekaterina P. Mochalina, Galina V. Ivankova, Oleg V. Tatarnikov, Irina N. Maslyakova

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Deep Learning-Based Step Size Determination for Hill Climbing Metaheuristics by Sándor Szénási, Gábor Légrádi, Gábor Kovács

Subjects: “…machine learning…”
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Single-step retrosynthesis prediction via multitask graph representation learning by Peng-Cheng Zhao, Xue-Xin Wei, Qiong Wang, Qi-Hao Wang, Jia-Ning Li, Jie Shang, Cheng Lu, Jian-Yu Shi

“…It develops a multitask graph representation learning model for single-step retrosynthesis prediction (Retro-MTGR) to solve reaction centre deduction and LG identification simultaneously. …”
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The 7-Day Challenge: Taking Steps Towards a Learning Habit by Thomas Stones

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Introducing project-based learning steps to the preschool teachers in Bandung, Indonesia by Devi Pratami, Nor Hasrul Akhmal, Muhd Ikmal Isyraf Mohd Maulana, Syed Ahmad Helmi Syed Hassan

“…This research explores the project-based learning steps for preschool teachers in Bandung using community service program by Industrial Engineering lecturers in Indonesia. …”
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Incremental Multi-Step Learning MLP Model for Online Soft Sensor Modeling by Yihan Wang, Jiahao Tao, Liang Zhao

“…As part of the method, a pre-trained MVMS-MLP model is developed, which integrates multivariate multi-step prediction with MLP regression to handle temporal data. …”
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Two-Step Contrast Source Learning Method for Electromagnetic Inverse Scattering Problems by Anran Si, Miao Wang, Fuping Fang, Dahai Dai

“…To overcome these issues, we propose a two-step contrast source learning approach, cascading convolutional neural networks (CNNs) into the inversion framework, to tackle 2D full-wave EM-ISPs. …”
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An Optimal Two-Step Approach for Defense Against Poisoning Attacks in Federated Learning by Yasir Ali, Kyung Hyun Han, Abdul Majeed, Joon S. Lim, Seong Oun Hwang

“…Federated learning (FL) has gained widespread adoption for training artificial intelligence (AI) models while ensuring the confidentiality of client data. …”
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CEFR updates (2020)-based next-gen immersive learning in 5 steps by Gökhan Haldun DEMİRDÖVEN

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A LEARNING OF NEW ZEALAND: A STEP TOWARD GOOD GOVERNANCE FOR INDONESIA by Indra Bastian

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A Step-by-Step Guide for Automated Plant Canopy Delineation Using Deep Learning: An Example in Strawberry Using ArcGIS Pro Software by Amr Abd-Elrahman, Katie Britt, Vance Whitaker

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Effective data selection via deep learning processes and corresponding learning strategies in ultrasound image classification by Hyunju Lee, Jin Young Kwak, Eunjung Lee

“…Abstract In this study, we propose a novel approach to enhancing transfer learning by optimizing data selection through deep learning techniques and corresponding innovative learning strategies. …”
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Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task. by Thomas Akam, Rui Costa, Peter Dayan

“…The recently developed 'two-step' behavioural task promises to differentiate model-based from model-free reinforcement learning, while generating neurophysiologically-friendly decision datasets with parametric variation of decision variables. …”
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Research on an Event Extraction Framework Based on Two-Step Prompt Learning for Chinese Policy by Hui Ding, Huayue Gu, Pei Cao

“…To solve this problem, this paper proposes a two-step cue learning-based event extraction framework (TPEE), which learns to recognize the role start and stop markers in the text by two prompts, and introduces a dynamic weighting mechanism to enhance the information interaction between roles. …”
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Regularized extreme learning machine based on variable step alternating direction method of multipliers by LU Huihuang, ZOU Weidong, LI Yuxiang

“…To address the deficiency of slow convergence rate and stagnation of error decay during later iteration of alternating direction method of multipliers (ADMM) for regularized extreme learning machine (RELM), we propose a dynamic step size ADMM-based RELM algorithm denoted as VAR-ADMM-RELM. …”
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IMPLEMENTATION OF THE STEP FUNCTION INTERVENTION AND EXTREME LEARNING MACHINE FOR FORECASTING THE PASSENGER’S AIRPORT IN SORONG by Nur Faizin, Achmad Fauzan, Arum Handini Primandari

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