Unknown IoT Device Identification Models and Algorithms Based on CSCL-Siamese Networks and Weighted-Voting Clustering Ensemble by Junhao Qian, Wenyu Zheng, Xulin Lu, Zhihua Li

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Design of a TSR-based project learning strategy for biochemistry undergraduate teaching and research labs: a case study by Camille R. Reaux, Shelby A. Meche, Jordan M. Grider, Soundharya Dhanabal, Tarikul I. Milon, Feng Chen, Wu Xu

“…The uniqueness of the method benefits students’ learning of big data and computational methods. …”
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Interactive technologies as a means to improve the effectiveness of the learning process by Aslancheriy Kitovich Tkhakushinov, Saida Aslanovna Bibalova, Aminet Magametovna Siyukhova

“…On the basis of the epistemological method and the systematic approach, the positive qualities of interactive lecture forms are shown, as they facilitate material learning, and there is also a more effective consolidation of the acquired knowledge with the possibility of its independent application. …”
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RLSuccSite: succinylation sites prediction based on reinforcement learning dynamic with balanced reward mechanism and three-peaks enhanced method for physicochemical property score... by Lun Zhu, Qingchao Zhang, Sen Yang

“…In this study, we propose RLSuccSite, a reinforcement learning-based framework specifically designed to predict succinylation sites by addressing the class imbalance issue via a dynamic with balanced reward mechanism. …”
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A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study by Øyvind Ervik, Mia Rødde, Erlend Fagertun Hofstad, Ingrid Tveten, Thomas Langø, Håkon O. Leira, Tore Amundsen, Hanne Sorger

“…In lung cancer staging, precise assessment of lymph node position is crucial for clinical decision-making. This study aimed to demonstrate a new deep learning method to classify thoracic lymph nodes based on their anatomical location using EBUS images. …”
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Predicting crude oil returns and trading position: evidence from news sentiment by Hail Jung, Daejin Kim

“…Consistent with previous findings that returns help explain the change in traders’ positions, the sentiment scores based on the machine learning method are also useful in explaining the behavior of different types of traders. …”
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Enhancing Theatrical Makeup Competency through Project-Based Learning, Tutorial Videos, and Adaptive Learning Styles by Mimi Yupelmi, Ambiyar, Nizwardi Jalinus, Vici Syahril Chairani, Puji Hujria Suci, Indra Saputra

“…Study result describe that project-based learning has a positive and significant impact on theatrical makeup competency with the high effect category. …”
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Experimental verification of position sensing for a magnetic coil via Fano resonance by Shrinathan Esaki Muthu Pandara Kone, Kenichi Yatsugi, Mikiko Suzuki, Michio Yasunishi, Hiroshi Yoshimoto, Xiaopeng Li, Ziqi Yu, Taehwa Lee, Hideo Iizuka

“…The characteristics of the system are investigated by using a method-of-moment based electromagnetic simulator, with sufficiently large volume of scattering parameters for different positions of the transmitting coil. …”
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The Impact of Tin Mining Activities and Its Integration in Science Learning by Tisrin Maulina Dewi, Margareta Rahayuningsih, Aditya Marianti, Fitria Meilina

“…This study aims to describe the impact of tin mining activities in Karimun Regency and its integration into science learning. The research method used is descriptive qualitative with data collection techniques through interviews, observations, and literature studies. …”
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Development of e-Learning Microsoft Sway as Innovation of Local Culture-Based Learning Media by Liana Vivin Wihartanti, Ramadhan Prasetya Wibawa

“…Media that has been improved to be final media then re-implemented in learning in the two study programs. The results of research show that the development of e-learning microsoft sway based on local culture and the effectiveness of media implementation in economic and accounting learning at Universitas PGRI Madiun run smoothly and effectively, and give positive impact on learning process.…”
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Resting Posture Recognition Method for Suckling Piglets Based on Piglet Posture Recognition (PPR)–You Only Look Once by Jinxin Chen, Luo Liu, Peng Li, Wen Yao, Mingxia Shen, Longshen Liu

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THE INFLUENCE OF THE PROJECT BASED LEARNING MODEL USING VIDEO ON THE CREATIVITY THINKING ABILITY AND IPAS LEARNING OUTCOMES FOR ELEMENTARY SCHOOL STUDENTS by Siti Aminah Aminah, Nur Aini Dwi Setyowati

“…In general, there is a positive and significant effect (2 tailed) 0.002 < 0.05 of the application of the Project Based Learning model with the use of videos on the creative thinking abilities and science learning outcomes of elementary school students.…”
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Carbon Emission Reduction in Traffic Control: A Signal Timing Optimization Method Based on Rainbow DQN by Juan Lv, Zhaowei Wang, Jianxiao Ma

“…To improve intersection traffic flow and reduce vehicle energy consumption and emissions at intersections, a signal optimization method based on deep reinforcement learning (DRL) is proposed. …”
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The Influence of the Inquiry Learning Model Based on the Quizizz Application on the Learning Outcomes of Class IV Students of State Elementary School 064022 Medan Tuntungan by Devi Marissa Sibuea, Patri Janson Silaban, Nova Florentina Ambarwati, Regina Sipayung, Rumiris Lumbangaol

“…This shows that there is a significant positive influence from using the Inquiry Learning model based on the Quizizz application on the learning outcomes of class IV students at SD Negeri 064022 Medan Tuntungan for the 2023/2024 academic year. …”
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MAPM:PolSAR Image Classification with Masked Autoencoder Based on Position Prediction and Memory Tokens by Jianlong Wang, Yingying Li, Dou Quan, Beibei Hou, Zhensong Wang, Haifeng Sima, Junding Sun

“…To alleviate this problem, this paper proposes a PolSAR image classification method with a Masked Autoencoder based on Position prediction and Memory tokens (MAPM). …”
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Flipbook as Innovation of Digital Learning Media: Preparing Education for Facing and Facilitating 21st Century Learning by Roemintoyo Roemintoyo, Mochamad Kamil Budiarto

“…Through the results of this research, it can become the basis for educators in developing and implementing flipbook-based digital learning media to facilitate the learning process. …”
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The Influence of the Team-Based Learning Model on Students’ Procedural Knowledge Learning Outcomes in Information and Communication Technology Subjects by Siti Rofiqoh, Etistika Yuni Wijaya, Puji Rahayu Ningsih, Laili Cahyani, Luluk Mauli Diana

“…To address this issue, this study aims to explore the implementation of the Team-Based Learning (TBL) model as an innovative instructional strategy that focuses on teamwork and active participation in the learning process. …”
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Prediction of the Drogue Position in Autonomous Aerial Refueling Based on a Physics-Informed Neural Network by Xin Bao, Yan Li, Zhong Wang

“…An innovative method of a physics-informed neural network (PINN), a fusion of supervised learning and unsupervised learning, integrating physical information with an attention-augmented long short-term memory (AALSTM) neural network is proposed. …”
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Development of Digital Research-Based Learning (D-RBL) strategy in instructional media course by Dian Olifia Talaksoru, Dedi Kuswandi, Saida Ulfa

“…This research develops a Digital Research Based Learning (D-RBL) learning strategy to improve the quality of learning in learning media courses. …”
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Dilated Convolution and YOLOv8 Feature Extraction Network: An Improved Method for MRI-Based Brain Tumor Detection by Lincy Annet Abraham, Gopinath Palanisamy, Veerapu Goutham

“…Based on the experimental results, the proposed method achieved precision of 95.2%, recall rate of 90.5%, accuracy of 99.5% and F1-score of 96.5% which evinces the outstanding performance compared with the existing methods. …”
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