Image Matching: A Comprehensive Overview of Conventional and Learning-Based Methods by Styliani Verykokou, Charalabos Ioannidis

“…This entry provides a comprehensive overview of methods used in image matching. It starts by introducing area-based matching, outlining well-established techniques for determining correspondences. …”
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Daily runoff forecasting using novel optimized machine learning methods by Peiman Parisouj, Changhyun Jun, Sayed M. Bateni, Essam Heggy, Shahab S. Band

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AI tutor as Socratic Mentors: Transforming Student Learning in Research Methods by Larissa Neuburger, Ilona Pezenka, Melanie Dejnega, Evelyn Fränzl

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In search for effective methods of routine formation by Kandora Marcin

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Enhancing knee osteoarthritis detection with AI, image denoising, and optimized classification methods and the importance of physical therapy methods by Burak Bugday, Harun Bingol, Muhammed Yildirim, Bilal Alatas

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Authorship identification methods in student plagiarism detection by A. I. Paramonov, I. A. Trukhanovich

“…Different check, detect and analyze plagiarism approaches in various works are investigated. Both classical methods, which include text comparison and similarity search, and modern methods based on machine learning algorithms, as well as their combination and potential modifications, are considered. …”
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Design of an Arabic Interactive Learning Multimedia Application Using the MDLC Method by Ahmad Fitriansyah, Iwan Aprianto, Prasetyo Adi Nugroho

“…This research aims to produce a design for an interactive Arabic learning multimedia application. The method used is the Multimedia Development Life Cycle (MDLC) which consists of six phases, namely concept, design, material collection, production, testing and distribution. …”
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Self-supervised deep learning method for in-cell cryo-electron tomography by Stojanovska Frosina, Kreshuk Anna, Mahamid Julia, Zaugg Judith

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Potato Plant Leaf Disease Detection Using Deep Learning Method by Cemal İhsan Sofuoğlu, Derya Bırant

“…The weighted averages of recall, precision, and f-score metrics were obtained around 0.978, meaning that the method was highly successful in disease diagnosis.…”
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Membership inference attack and defense method in federated learning based on GAN by Jiale ZHANG, Chengcheng ZHU, Xiaobing SUN, Bing CHEN

“…Aiming at the problem that the federated learning system was extremely vulnerable to membership inference attacks initiated by malicious parties in the prediction stage, and the existing defense methods were difficult to achieve a balance between privacy protection and model loss.Membership inference attacks and their defense methods were explored in the context of federated learning.Firstly, two membership inference attack methods called class-level attack and user-level attack based on generative adversarial network (GAN) were proposed, where the former was aimed at leaking the training data privacy of all participants, while the latter could specify a specific participant.In addition, a membership inference defense method in federated learning based on adversarial sample (DefMIA) was further proposed, which could effectively defend against membership inference attacks by designing adversarial sample noise addition methods for global model parameters while ensuring the accuracy of federated learning.The experimental results show that class-level and user-level membership inference attack can achieve over 90% attack accuracy in federated learning, while after using the DefMIA method, their attack accuracy is significantly reduced, approaching random guessing (50%).…”
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Maximal Information Coefficient-Based Undersampling Method for Highly-Imbalanced Learning by Haiou Qin

“…Undersampling is an alternative kind of methods to deal with imbalanced learning. In this paper, we propose a new undersampling method based on maximal information coefficient (including two algorithms MICU-1 and MICU-2) to rebalance the datasets. …”
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Model split-based data privacy protection method for federated learning by CHEN Ka

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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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A Robust Method Based on Deep Learning for Compressive Spectrum Sensing by Haoye Zeng, Yantao Yu, Guojin Liu, Yucheng Wu

“…However, traditional reconstruction algorithms exhibit suboptimal performance, and conventional WSS methods fail to fully capture the inherent structural information of wideband spectrum signals. …”
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Research on mulberry leaf disease recognition method based on deep learning by Ye Hui, Xiang Donghui, Zeng Songwei

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Maize tassel segmentation based on deep learning method and RGB image by YU Xun, WANG Zhe, JING Haitao, JIN Xiuliang, NIE Chenwei, BAI Yi, WANG Zheng

“…This study focuses on the accuracy and stability of deep learning method for maize tassel segmentation at different tasseling stages and varieties. …”
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Software refactoring prediction evaluation method based on deep learning models by Yichi ZHANG, Yang ZHANG, Yanlei LI, Kun ZHENG, Wei LIU

“…Aiming at the lack of research on the performance of deep learning models in predicting software refactoring in the current field, a deep learning-based software refactoring prediction evaluation method was proposed to assess the refactoring predictive performance of these models. …”
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Dynamic heterogeneous network representation learning method based on Hawkes process by CHEN Lei, DENG Kun, LIU Xingyan

“…Existing methods for heterogeneous network representation learning mainly focus on static networks, overlooking the significant impact of temporal attributes on node representations. …”
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Rock blasting evaluation - image recognition method based on deep learning by Haibao YI, Aixiang Wu, Xiliang Zhang

“…Overall, image recognition technology can significantly improve the efficiency and accuracy of blasting evaluation, solve many drawbacks of traditional manual analysis methods, and holds great application prospects in blasting quality evaluation.…”
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An enhanced substation equipment detection method based on distributed federated learning by Zhuyun Li, Qiutong Qin, Yingyi Yang, Xiaoming Mai, Yuya Ieiri, Osamu Yoshie

“…These results confirm the method’s effectiveness in improving substation equipment recognition securely and efficiently.…”
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