APPLICATION OF ASSIGNMENT METHOD WITH SEVIMA EDLINK TO IMPROVE STUDENT'S DISCIPLINE AND MATHEMATICS LEARNING ACHIEVEMENT by Gst Ayu Mahayukti, I Gusti Putu Sudiarta, I Dewa Gede Limarta Yusadi Putra

Subjects: “…Due to the pandemic, teachers need to make breakthroughs in carrying out online learning by utilizing the right online learning media, one of which is the Sevima Edlink application, because Sevima EdLink is an application that can be accessed via a computer or Android, and is free and without installation.This study aims to improve students' achievement and discipline in learning mathematics through the application of the sevima edlink assignment method in online learning on matrix material and matrix transformation. …”
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Implementation of Innovative Learning Method of Business Practice Teaching Firms to Grow Entrepreneurship Characters by Bakti Widyaningrum, Bayu Surindra

“…The research aim to implement innovative learning methods of business practice teaching firm’s to cultivate students entrepreneurial character. …”
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Projecting Large Fires in the Western US With an Interpretable and Accurate Hybrid Machine Learning Method by Fa Li, Qing Zhu, Kunxiaojia Yuan, Fujiang Ji, Arindam Paul, Peng Lee, Volker C. Radeloff, Min Chen

“…Abstract More frequent and widespread large fires are occurring in the western United States (US), yet reliable methods for predicting these fires, particularly with extended lead times and a high spatial resolution, remain challenging. …”
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A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

“…This paper addresses the complex electromagnetic game involving multiple active jammers and radar systems by proposing a multi-agent reinforcement learning-based cooperative jamming decision-making method (MA-CJD). …”
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Deep learning method for cucumber disease detection in complex environments for new agricultural productivity by Jun Liu, Xuewei Wang, Qian Chen, Peng Yan, Xin Liu

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Spatial-Temporal Cooperative In-Vehicle Network Intrusion Detection Method Based on Federated Learning by Liu Tao, Zhao Xiyang

“…This paper proposes a spatial-temporal collaborative intrusion detection method for IVN based on federated learning (FL), aiming to address the limitations of traditional intrusion detection methods in data privacy protection, temporal modeling, and computational efficiency. …”
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Providing a Prostate Cancer Detection and Prevention Method With Developed Deep Learning Approach by Alireza Zarei, Elias Mazrooei Rad, Shahryar Salmani Bajestani, Seyyed Ali Zendehbad

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Fault Diagnosis Method of Workbench Feed System Combined with Digital Twin and Transfer Learning by GUO Weichao, WANG Jingqi, ZHANG Songwei, HAN Xuyang, GAO Xinqin

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Educational transmedia narratives and the INAEP method: innovation and learning in the Colombian Context. Pilot study by Maribel García-Rojas, Maribel García-Rojas, Moisés Mañas-Olmo, Lourdes Aranda, Pablo Cortés-González

“…The study highlighted the importance of CCIs in education, positioning students as active prosumers and revealing the relationship between CCIs, innovation, and learning. The discussion confirmed the INAEP method’s potential to measure 21st-century competencies, emphasizing innovation, educational transmedia narratives, and students’ active roles in learning.…”
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Elementary students' mathematics learning activities and outcomes through the application of the problem solving method by Esty Saraswati Nur Hartiningrum, Nining Yuly Agustin, Rohmatul Umami

“…The increase shows that the teacher can use the Problem Solving Method with Unit Wheel Media to make the learning situation more enthusiastic and students more active in problem-solving. …”
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STUDYING MEDICINAL PLANTS USING PROJECT-BASED ON LEARNING METHOD USING THE EXAMPLE OF VALERIAN by Asanbekova A. A., Akmataliev Zh. T.

“…This paper presents a classification of projects and project activities of schoolchildren, and presents a methodology for using the project-based on learning method. This work shows scientific research conducted in the region, as well as the use of this method in the implementation of research on medicinal plants. …”
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Two-stage deep reinforcement learning method for agile optical satellite scheduling problem by Zheng Liu, Wei Xiong, Zhuoya Jia, Chi Han

“…Besides, the conventional exact methods and heuristic methods can hardly obtain a high-quality solution in a short time due to the complicated constraints and considerable solution space of this problem. …”
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False data intrusion detection method for power grid based on deep machine learning by ZHU Wen, HU Yaping, NIE Yongquan, JIANG Wei, XIE Hu

“…In order to improve its power quality and operation stability, a false data intrusion detection method for power grid based on deep machine learning is proposed. …”
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Foreign Body Detection Method for Transmission Equipment Based on Edge Computing and Deep Learning by Yanqiao LU, Cuiying SUN, Hongwei CAO, Hongwei YAN

“…To solve this problem, a foreign body detection method is proposed based on edge computing and deep learning. …”
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An Efficient Aircraft Conflict Detection and Resolution Method Based on an Improved Reinforcement Learning Framework by Qiucheng Xu, Zhangqi Chen, Fangfang Li, Zhiyuan Shen, Wenbin Wei

“…To solve the problem of nonconflict high-density departure and arrival traffic flow, this method is expected to rapidly establish and maintain safe separation with more flexible changing strategies for aircraft heading and speed. …”
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A method of synthetic spoofing speech detection using self-supervised contrastive learning by YANG Man, JIAN Zhihua, LIANG Chenghan

“…In order to eliminate the impact of the imbalance of the sample size of bonafide speech and fake speech in the training dataset on the performance of synthetic speech detection system and further improve the accuracy of synthetic speech detection, a method of synthetic speech detection was proposed based on self-supervised contrastive learning. …”
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The effect of the teaching method on developing attention and learning the skill of preparing from the top in volleyball by Dr. Tahreer Soori, Dr. Muhanned Soori

“… The study aimed to prepare an educational curriculum according to the method of training teaching in developing focus of attention and learning the skill of preparation from the top in volleyball, and to identify the effect of the training method of teaching in developing attention concentration and learning the skill of preparing from the top in volleyball. …”
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Application of Faster R-CNN Deep Learning Method for Rice Plant Disease Detection by Halim Pujiono, Anik Vega Vitianingsih, Slamet Kacung, Anastasia Lidya Maukar, Seftin Fitri Ana Wati

“…This study aims to apply the Faster Region Convolutional Neural Network (Faster R-CNN), a deep learning approach, to detect rice plant diseases. The Grid Search method was employed as a hyperparameter tuning technique to identify the optimal parameter combination for enhancing algorithm performance. …”
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A study for method-level code smells detection using machine learning algorithms by Rajwant Singh Rao, Seema Dewangan, Alok Mishra, Manjari Gupta

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Contactless Diagnosis Method and Unsupervised Learning for Panel-Level Photovoltaic Plant Operation and Maintenance by Yifan Wang, Jianrong Xu, Fei Xu, Long Deng, Chensheng Jin, Wenzhong Bao, Yufeng Xie

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