A Review of Wavefront Sensing and Control Based on Data-Driven Methods by Ye Zhang, Qichang An, Min Yang, Lin Ma, Liang Wang

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Same data, different results? Machine learning approaches in bioacoustics by Kaja Wierucka, Derek Murphy, Stuart K. Watson, Nikola Falk, Claudia Fichtel, Julian León, Stephan T. Leu, Peter M. Kappeler, Elodie F. Briefer, Marta B. Manser, Nikhil Phaniraj, Marina Scheumann, Judith M. Burkart

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Estimation of Hydroelectric Power Generation Forecasting and Analysis of Climate Factors with Deep Learning Methods: A Case Study in Yozgat Province in Turkey by Feyza Nur Çakıcı, Suleyman Sungur Tezcan, Hıdır Düzkaya

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Machine learning for predicting 5-year mortality risks: data from the ESSE-RF study in Primorsky Krai by V. A. Nevzorova, T. A. Brodskaya, K. I. Shakhgeldyan, B. I. Geltser, V. V. Kosterin, L. G. Priseko

Subjects: “…machine learning methods…”
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Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence by Lesia Mochurad, Viktoriia Babii, Yuliia Boliubash, Yulianna Mochurad

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A Method of Online Shopping Risk Assessment Based on RNN-DBN by QU Yuan-yuan, GONG Li-ying, HE Wei

“…Aiming at the problem of transaction risk in online shopping, this paper proposes a method of online shopping risk assessment based on recurrent neural network (RNN) model and deep belief network (DBN) model in deep learning technology. …”
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Lithology Identification Method and Application Based on Generative Adversarial Neural Network by YIN Qiong

“…The accuracy of lithology identification using traditional methods is often difficult to meet the requirements. …”
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Adaptive method runtime safety assurance for autonomous driving in dynamic scenarios by XU Bingfeng, CHEN Jialing, YANG Shuailing, HE Gaofeng

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Anomaly traffic detection method based on data augmentation and feature mining by AN Yishuai, FU Yu, YU Yihan, LIU Taotao

“…To address the limitations of existing anomaly traffic detection methods, such as insufficient recognition accuracy for minority classes and limited deep feature extraction capabilities, a novel anomaly traffic detection method based on data augmentation and feature mining was proposed. …”
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A fiber channel modeling method based on complex neural networks by Haifeng Yang, Yongjun Wang, Chao Li, Lu Han, Qi Zhang, Xiangjun Xin

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MARL-TS Method for Underwater Acoustic Networks in Time-Varying Channels by Yu GAO, Qiao XIAO, Chaofeng WANG

“…To enhance communication efficiency in complex underwater acoustic environments, this paper proposed a multi-agent reinforcement learning(MARL)-based cross-layer transmission scheduling(TS) method for underwater acoustic networks, termed MARL-TS. …”
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A Semi-Supervised Attention-Temporal Ensembling Method for Ground Penetrating Radar Target Recognition by Li Liu, Dajiang Yu, Xiping Zhang, Hang Xu, Jingxia Li, Lijun Zhou, Bingjie Wang

“…Ground penetrating radar (GPR) is an effective and efficient nondestructive testing technology for subsurface investigations. Deep learning-based methods have been successfully used in automatic underground target recognition. …”
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EXPERIENCE OF IMPLEMENTING THE DISTANCE E-COURSE “STATISTICAL METHODS IN PHARMACY” IN THE MATHEMATICAL TRAINING OF FUTURE PHARMACEUTICAL SPECIALISTS by Iryna Zhovtonizhko, Maryna Nessonova, Mariana Barannyk, Nadiia Sheykina, Olga Marchenko

“… The article is dedicated to the issue of distance and online learning in higher pharmaceutical education. In the paper, the main principles and characteristic features of the concept of distance learning are outlined, the main advantages and disadvantages of using distance and e-learning in pharmaceutical and medical higher education are discussed. …”
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Editorial: Computational bioacoustics and automated recognition of bird vocalizations: new tools, applications and methods for bird monitoring by Yizhar Lavner, Cristian Pérez-Granados, Cristian Pérez-Granados

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A Forecasting Method for COVID-19 Epidemic Trends Using VMD and TSMixer-BiKSA Network by Yuhong Li, Guihong Bi, Taonan Tong, Shirui Li

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A Precise Detection Method for Tomato Fruit Ripeness and Picking Points in Complex Environments by Xinfa Wang, Xuan Wen, Yi Li, Chenfan Du, Duokuo Zhang, Chengxiu Sun, Bihua Chen

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Power System Operation Stability Assessment Method Based on Deep Convolutional Neural Network by Jinman Luo, Yuqing Li, Qile Wang, Liyuan Liu

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Using the Jigsaw Method to Improve Resident Confidence and Medical Knowledge About Osteoporosis in Men by Namita Bhardwaj, Wei-Chen Lee, Kendall M. Campbell

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Research on Wi-Fi Fingerprint Database Construction Method Based on Environmental Feature Awareness by Jiaxuan Wu, Tianzhong Yang, Zengting Zhang

“…By leveraging deep learning to analyze the relationship between environmental features and Wi-Fi signal strength, our method enables faster and more efficient database construction. …”
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Projected Gradient Descent Method for Tropical Principal Component Analysis over Tree Space by Ruriko Yoshida

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