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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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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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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An Investigation of the Flipped Learning Method to Physical Education Classes in the University: Systematic Review by Procopio B. Dafun Jr., Nurhasan Nurhasan, Heryanto Nur Muhammad, Dyah Fitria Padmasari, Novadri Ayubi

“…In all aspects of learning such as cognitive, affective and motoric learning in several sports disciplines such as basketball, martial arts, gymnastics and dance, FL provides very positive results. …”
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Using Life’s Essential 8 and heavy metal exposure to determine infertility risk in American women: a machine learning prediction model based on the SHAP method by Xiaoqing Gu, Qianbing Li, Xiangfei Wang

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A facial structure sampling contrastive learning method for sketch facial synthesis by Kangning Du, Jiyu Zhang, Lin Cao, Yanan Guo, Wenwen Sun

“…However, when applying traditional contrastive learning to sketch face synthesis, the random sampling strategy and the imbalance between positive and negative samples result in poor performance of synthesized sketch images regarding local details. …”
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Comprehensive evaluation of U-Net based transcranial magnetic stimulation electric field estimations by Taylor A Berger, Kathleen Mantell, Zachary Haigh, Nipun Perera, Ivan Alekseichuk, Alexander Opitz

“…Deep learning (DL) methods, particularly U-Nets, are being investigated for TMS electric field estimations. …”
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A diagnosis method based on graph neural networks embedded with multirelationships of intrinsic mode functions for multiple mechanical faults by Bin Wang, Manyi Wang, Yadong Xu, Liangkuan Wang, Shiyu Chen, Xuanshi Chen

“…To address the limitations of existing methods, we propose a fault diagnosis method based on graph neural networks (GNNs) embedded with multirelationships of intrinsic mode functions (MIMF). …”
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Application of Emerging Teaching Models in Dental Education: A Systematic Review and Meta-Analysis by Xuefei Pang, Ling Li, Xu Liu, Yan Wang, Bo Yang

“…Introduction and aims: As an experimental teaching method, emerging learning methods including problem-based learning (PBL), case-based learning, team-based learning and flipped classroom (FC) have been widely applied in dental education. …”
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Mobile Robot Positioning with Wireless Fidelity Fingerprinting and Explainable Artificial Intelligence by Hüseyin Abacı, Ahmet Çağdaş Seçkin

“…In addition, unlike the Global Navigation Satellite System (GNSS), Wi-Fi is more suitable for use indoors because signal blocking, attenuation, and reflection restrictions create a unique pattern in places with many Wi-Fi transmitters, and more precise positioning can be performed than GNSS. This paper proposes a machine learning-based method for Wi-Fi-enabled robot positioning in indoor environments. …”
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Initiating a Full Fulfilment Curriculum-Based Deep Learning: Integration of Knowledge and Character in Learning by Aulia Fitri, Khairul Amin, Zuhri Tauhid, Aulia Ramadona, Wismanto

“… An effective educational curriculum must integrate the development of students' knowledge and character, especially for facing the challenges of the modern era. Based on these needs, the full fulfilment curriculum was developed to combine aspects of academic knowledge with character formation through deep learning approaches, namely Mindful Learning, Meaningful Learning, and Joyful Learning. …”
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A Deep Learning Method for Automatic Coronal Mass Ejection Feature Identification by P. Yang, H. S. Fu, J. B. Cao, F. Shen

“…Here, we present a deep learning–based algorithm for automated CME feature extraction, comprising four key stages: image preprocessing, segmentation, tracking, and feature extraction. …”
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Path Planning Method of Mobile Robot Using Improved Deep Reinforcement Learning by Wei Wang, Zhenkui Wu, Huafu Luo, Bin Zhang

“…A mobile robot path planning method based on improved deep reinforcement learning is proposed. …”
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Implementation of home visit method in offline learning during the Covid-19 pandemic by Benjamin Metekohy, Novita Sahertian, David Ming

“…What is the home visit method in offline learning? Is the Home visit method an alternative to learning during the Covid-19 pandemic? …”
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Martian Skylight Identification Based on the Deep Learning Model by Lihong Li, Lingli Mu, Wei Zhang, Weihua Dong, Yuqing He

“…In this article, 151 positive samples and 920 negative samples based on the MRO-HiRISE image data was used to create an initial skylight dataset, which contained few positive samples. …”
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3D Model Classification Based on Contrastive Learning by QU Zhongshui, LIU Shan, GAO Yuan, DING Bo

“…We propose a 3D model classification method based on contrastive learning. In this method, the training is divided into a sample discrimination stage and a classification stage. …”
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Ubiquitous UWB Ranging Error Mitigation With Application to Infrastructure-Free Cooperative Positioning by Maija Makela, Martta-Kaisa Olkkonen, Martti Kirkko-Jaakkola, Toni Hammarberg, Tuomo Malkamaki, Jesperi Rantanen, Sanna Kaasalainen

“…This ranging error can be corrected with machine learning (ML) methods, such as convolutional neural networks (CNNs). …”
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RIM-Net: A Real-Imaginary-Magnitude Network for NLOS/LOS Identification in UWB Indoor Positioning Systems by Jiacheng Ni, Fang Li, Shuai Cao, Linsong Li

“…In UWB-based indoor positioning research, NLOS signals severely degrade localization accuracy. …”
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Sorogan-Based Learning to Stimulate Early Counting Skills by Osfir Candikia Rara Komara, Sumaji, Wahyudi, Ahmad Azzam Al Qoyyimuddin

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Support for Early Childhood to Develop Social Skills: Project Method in Learning Process What is the Impact? by Siti Nurhidayah, Amir Syamsudin, Alfina Damayanti

“…The development of social skills in early childhood can be achieved through learning activities with project-based learning methods. …”
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