DEVELOPING LOCAL WISDOM BASED SCIENCE LEARNING DESIGN TO ESTABLISH POSITIVE CHARACTER IN ELEMENTARY SCHOOL by B. Subali, A. Sopyan, Ellianawati Ellianawati

“…<p>This study aims to design a science learning program based on the local wisdom and apply it in elementary school. …”
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Lightweight Indoor Positioning System Based on Multiple Self-Learning Features and Key Frame Classification by C. Wang, K. Bi, B. Zhao, M. Li, Y. Chen, S. Tao, J. Yang

“…With advancements in image recognition and deep learning technologies, indoor visual positioning based on image recognition has become increasingly mature. …”
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Deep Reinforcement Learning Based Active Disturbance Rejection Control for ROV Position and Attitude Control by Gaosheng Luo, Dong Zhang, Wei Feng, Zhe Jiang, Xingchen Liu

“…To address this issue, this paper proposes a position and attitude control strategy for underwater robots based on a reinforcement learning active disturbance rejection controller. …”
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Autoencoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive by Darwin P. Quezada Gaibor, Lucie Klus, Roman Klus, Elena Simona Lohan, Jari Nurmi, Mikko Valkama, Joaquin Huerta, Joaquin Torres-Sospedra

“…Indoor positioning based on machine-learning (ML) models has attracted widespread interest in the last few years, given its high performance and usability. …”
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Risk-based evaluation of machine learning-based classification methods used for medical devices by Martin Haimerl, Christoph Reich

“…Abstract Background In the future, more medical devices will be based on machine learning (ML) methods. In general, the consideration of risks is a crucial aspect for evaluating medical devices. …”
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A Vision-Based Method for Detecting the Position of Stacked Goods in Automated Storage and Retrieval Systems by Chuanjun Chen, Junjie Liu, Haonan Yin, Biqing Huang

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Flipped classroom with a gamification case method approach for learning statistics by Novia Kuswidayani, Yerry Soepriyanto, Henry Praherdhiono

“…The design's attractiveness, mainly due to engaging gamification elements, contributed to positive student responses. Research results highlight the success of integrating flipped classrooms with case-based gamification methods, providing an attractive and effective approach to statistics education.   …”
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Comparing the effectiveness of education based on positive psychology with education based on cognitive-behavioral method on the resilience of students of gifted schools in Tehran by adel khaleghy samarin, Hasan Ahadi, Ali Asghar Asgharnejad Farid, GholamReza Sarami Foroushani, Mahdiyeh Rahmaniyan

“…Based on the findings, it can be concluded that people can achieve more resilience by learning techniques based on positive psychology and cognitive-behavioral methods, but education based on positive psychology is more successful than cognitive-behavioral methods. have.…”
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FORMATION OF STUDENTS’ SCIENTIFIC THINKING BASED ON THE LEARNING OF METHODS OF THE SUBSTANCE ANALYSIS by M. A. Kosareva, L. A. Baikova, E. A. Nikonenko, V. V. Vaitner, A. N. Gabdullin

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A Driver’s Calling Behavior Detection Method Based on Deep Learning by XIONG Qunfang, LIN Jun, YUE Wei, LIU Shiwang, LUO Xiao, DING Chi

“…This paper proposed a driver’s cell phone calling behavior detection algorithm based on deep learning. The algorithm comprises two steps. …”
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Badminton Backcourt Stroke Route Planning Method Based on Deep Learning by Yanping Ma

“…In order to improve the planning ability of the badminton backcourt stroke line, this study designs a badminton backcourt stroke line planning method based on deep learning. Firstly, the trajectory adaptive learning method of motion primitives is used to design the hitting line nodes and path space, so as to construct the shortest distributed grid structure model of the hitting line. …”
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Transformer-based multiple instance learning network with 2D positional encoding for histopathology image classification by Bin Yang, Lei Ding, Jianqiang Li, Yong Li, Guangzhi Qu, Jingyi Wang, Qiang Wang, Bo Liu

“…To address this issue, we propose a new framework named TMIL (Transformer-based Multiple Instance Learning Network with 2D positional encoding), which leverages multiple instance learning for weakly supervised classification of histopathological images. …”
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High accuracy indoor positioning system using Galois field-based cryptography and hybrid deep learning by Mohammad Mazyad Hazzazi, Prashant Kumar Shukla, Piyush Kumar Shukla, Fahad Alblehai, Sameer Nooh, Mohd Asif Shah

“…The work’s main contribution is the incorporation of ECC, an effective encryption and decryption method for signal data, which is based on Galois fields. …”
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An analysis of the empirical research on SL/FL teaching and learning based on positive psychology: a systematic literature review by Jia Miao, Xin Tian, Lina Zhang, Baoling Zhang, Li Ma

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Preparing educators for the digital age: teacher perceptions of active teaching methods and digital integration by Gulmira Abildinova, Elmira Abdykerimova, Almagul Assainova, Kaussar Mukhtarkyzy, Dariya Abykenova

“…IntroductionThis study investigates higher education teachers’ perceptions of active teaching methods—Case-Based Learning (CBL), Problem-Based Learning (PBL), and Team-Based Learning (TBL)—and their integration with digital technologies. …”
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Learning Approach for Angle Estimation Based on Characteristics of Phase Drift by Seoyoung Koh, Jaeho Lee

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Comparative Study of Problem-Based Learning and Traditional Teaching Methods on Medical Students&rsquo; Outcomes in Pediatrics Clerkships by Ba H, Xu L, Gu Y, Li Y, Jiang X, Li X, Li S

“…Although both teaching methods supported theoretical learning equally, PBL fostered greater student engagement and deeper learning, suggesting that it could be a valuable model for future medical education.Keywords: pediatrics, teaching methods, problem-based learning, clinical clerkship…”
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Application of Deep Learning Methods for Employee Satisfaction Analysis Based on Text Data by A. A. Kazinets

“…The application of deep learning methods to analyze employee satisfaction based on text data is investigated. …”
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Multiple Instance Learning With Instance-Level Positive-Unlabeled Learning in Anomaly Detection by Ryosuke Matsuo, Shinya Yasuda, Hiroshi Yoshida

“…Our proposed method uses positive and unlabeled learning for enhancing instance-level classification performance and weighted-noisy-OR for training bag-level classification. …”
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Simultaneously detecting the intensity and position of Southwestern Atlantic Ocean Frontal Zones from satellite-derived SST by a multi-task deep learning model by Zhi Wang, Guangyu Yang, Yanchen Guo, Zhenkuan Pan, Ge Chen, Chunyong Ma

“…Additionally, traditional methods typically represent FZ position using frontal lines, which fail to capture the full width of the FZ, resulting in incomplete representations. …”
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