A Transformer-Based Symmetric Diffusion Segmentation Network for Wheat Growth Monitoring and Yield Counting by Ziyang Jin, Wenjie Hong, Yuru Wang, Chenlu Jiang, Boming Zhang, Zhengxi Sun, Shijie Liu, Chunli Lv

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Research on reliability evaluation method of anchor cable support system based on Wiener process by Mingjia Wu, Zhanshan Shi, Zhiqiang Lv, Gang Li, Bing Qin, Jianfeng Hao

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Analysis of the relationship between the predicted biological activity and the chemical structure of S-derivatives of 5-(5-bromofuran-2-yl)-4R-1,2,4-triazole-3-thiols by O. A. Bigdan

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Sliding Window-Based Randomized K-Fold Dynamic ANN for Next-Day Stock Trend Forecasting by Jaykumar Ishvarbhai Prajapati, Raja Das

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IoT-based bed and ventilator management system during the COVID-19 pandemic by Vivek Kumar Prasad, Debabrata Dansana, S. Gopal Krishna Patro, Ayodeji Olalekan Salau, Divyang Yadav, Brojo Kishore Mishra

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Reassessment of Plio-Quaternary aquifer mineralization (Sidi Mansour plain, Southern Tunisia): a machine learning approach by Zohra Kraiem, Kamal Zouari, Aissa Hleimi, Houda Derbel Fetoui

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Risk classification for long‐term mortality among patients with acute heart failure: China PEACE 4YMortality by Wei Wang, Lihua Zhang, Guangda He, Xiqian Huo, Lubi Lei, Jingkuo Li, Boxuan Pu, Yue Peng, Xin Yuan

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AI-Based Deep Learning of the Water Cycle System and Its Effects on Climate Change by Hasib Khan, Wafa F. Alfwzan, Rabia Latif, Jehad Alzabut, Rajermani Thinakaran

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Evaluation and Anomaly Detection Methods for Broadcast Ephemeris Time Series in the BeiDou Navigation Satellite System by Jiawei Cai, Jianwen Li, Shengda Xie, Hao Jin

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Machine learning framework to estimate ridership loss in public transport during external crises: case study of bus network in Stockholm by Mahsa Movaghar, Erik Jenelius, David Hunter

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The influence of factors on five-year outcomes after acute coronary syndrome by N. G. Lozhkina, M. Kh. Khasanova, A. A. Tolmacheva, E. A. Najdena, E. A. Stafeeva, V. A. Kozik, V. B. Barbarich, A. D. Kuimov, V. N. Maksimov, M. I. Voevoda

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The risk of coronary artery disease in patients with type 2 diabetes mellitus and metabolic syndrome by N.V. Chmyr, R.Y. Dutka, H.V. Svitlyk, N.M. Hromnatska, I.S. Dronyk, K.J. Abrahamovych, O.Z. Didenko, M.Y. Fedechko, N.V. Drobinska

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Aero-Engine Remain Useful Life Estimation via Scope-Coordinated Attention-Based Network by Zheng Liao, Sijie Liu, Jin Li, Shuai Ma, Gang Li

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Detection and classification of breast cancer in mammographic images with fine-tuned convolutional neural networks by Huong Hoang Luong, Hai Thanh Nguyen, Nguyen Thai-Nghe

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An enhanced framework for knowledge graph embedding based on negative sample analogical reasoning by Huimin Li, Yuhu Tao, Dan Chen, Yi Tang, Jianxiao Wang, Lulu Xue

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Integrated Machine Learning Framework Combining Electrical Cycling and Material Features for Supercapacitor Health Forecasting by Mojtaba Khakpour Komarsofla, Kavian Khosravinia, Amirkianoosh Kiani

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Accurate multi-category student performance forecasting at early stages of online education using neural networks by Naveed Ur Rehman Junejo, Muhammad Wasim Nawaz, Qingsheng Huang, Xiaoqing Dong, Chang Wang, Gengzhong Zheng

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Individual forecasting of reliability of bipolar transistors by using electrical voltage as a simulation factor by S. M. Borovikov, E. N. Shneiderov, A. I. Berasnevich, V. O. Kaziuchyts

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Comprehensive machine learning analysis of PANoptosis signatures in multiple myeloma identifies prognostic and immunotherapy biomarkers by Yashu Feng, Shuoting Wang, Jingwen Zhang, Chengcheng Liu, Ling Zhang, Jiajun Liu

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Historical reconstruction dataset of hourly expected wind generation based on dynamically downscaled atmospheric reanalysis for assessing spatio-temporal impact of on-shore wind in... by Yu Fujimoto, Masamichi Ohba, Yujiro Tanno, Daisuke Nohara, Yuki Kanno, Akihisa Kaneko, Yasuhiro Hayashi, Yuki Itoda, Wataru Wayama

“…To assess this impact, the use of long-term reanalysis results of wind data based on a numerical weather prediction (NWP) model is considered valid. However, in Japan, the behavior of on-shore wind power generation is influenced by diverse topographical and meteorological features (TMFs) of the installation site, making it challenging to assess possible operational impacts based solely on power curve-based estimates using a popular conversion equation. …”
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