Development of immune-derived molecular markers for preeclampsia based on multiple machine learning algorithms by Zhichao Wang, Long Cheng, Guanghui Li, Huiyan Cheng

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RSWD-YOLO: A Walnut Detection Method Based on UAV Remote Sensing Images by Yansong Wang, Xuanxi Yang, Haoyu Wang, Huihua Wang, Zaiqing Chen, Lijun Yun

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Nesting burrowing owl density and abundance in the Altamont Pass Wind Resource Area, California by K. Shawn Smallwood, Lee Neher, Joanne Mount, Renee C. E. Culver

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Space Weather Monitor at the L5 Point: A Case Study of a CME Observed with STEREO B by L. Rodriguez, C. Scolini, M. Mierla, A. N. Zhukov, M. J. West

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Versatility Evaluation of Landslide Risk with Window Sizes and Sampling Techniques Based on Deep Learning by Fudong Ren, Koichi Isobe

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ANGPTL4 mediated mesothelial-mesenchymal transition in pulmonary fibrosis: a potential therapeutic target by Yuechong Xia, Fang Zhou, Hongyan Hui, Liping Dai, Songyun Ouyang

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Does Eplet Load and Electrostatic Mismatch Score Matter in Kidney Transplantation? A Machine Learning Approach by Desmond D. Offei, Dulat Bekbolsynov, Stanislaw Stepkowski, Robert C. Green II

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Machine Learning–based Photometric Redshifts for Galaxies in the North Ecliptic Pole Wide Field: Catalogs of Spectroscopic and Photometric Redshifts by Taewan Kim, Jubee Sohn, Ho Seong Hwang, Simon C.-C. Ho, Denis Burgarella, Tomotsugu Goto, Tetsuya Hashimoto, Woong-Seob Jeong, Seong Jin Kim, Matthew A. Malkan, Takamitsu Miyaji, Nagisa Oi, Hyunjin Shim, Hyunmi Song, Narae Hwang, Byeong-Gon Park

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Clc-db: an open-source online database of chiral ligands and catalysts by Gufeng Yu, Kaiwen Yu, Xi Wang, Chenxi Zhang, Yicong Luo, Xiaohong Huo, Yang Yang

“…Recent advancements have demonstrated that computational methods, particularly machine learning, offer transformative potential by significantly accelerating these processes through enhanced prediction and modeling capabilities. However, limitations such as data scarcity and model inaccuracies continue to challenge their broader application. …”
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Green credit risk identification and anti-corruption measures under the application of the multi-layer deep network by Zeyu Wang, Caimeng Wang, Zhili Bai, Song Song

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Time Series Forecasting Method Based on Multi-Scale Feature Fusion and Autoformer by Xiangkai Ma, Huaxiong Zhang

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Adsorption Equilibria of Butan-1-ol, Toluene and Water Vapour onto Sorbonorit 4 Activated Carbon and the Co-Adsorption of Organic Compounds and Water Vapour onto SKT Activated Carb... by Józef Nastaj, Małgorzata Chybowska

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IMPLEMENTASI METODE RANDOM FOREST DALAM MEMPREDIKSI SINYAL PERGERAKAN SAHAM by MOCH. ANJAS APRIHARTHA, M. HUSNIYADI, TAUFIK NUR ALAM

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A transformer-based framework for enterprise sales forecasting by Yupeng Sun, Tian Li

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Incorporating Hourly Convective Cloud Data Into Tropical Cyclone Rapid Intensification Forecasting With Machine Learning by Qiaoyan Wu, Tong Luo, Jiacheng Hong

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Diagnosis Method for High-Speed Train Axle Box Bearing Slight Faults Based on Improved SAE and Temperature-Vibration Fusion by XU Xiao, SONG Dongli, WANG Zifan

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DEVELOPMENT AND EXPERIMENTAL VERIFICATION OF THE SELF-ADJUSTMENT ALGORITHM OF THE OGSH LOAD LIMITER FOR BRIDGE CRANES by V. A. Roshchin, S. D. Ivanov, N. L. Mikhalchik

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Developing a method for training clinical psychologists to recognize and repair alliance ruptures: a pilot study focusing on trainee experiences by Asaka Kawamura, Mina Fukuda, Shuntaro Aoki, Ayane Jinnai

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Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks by Tushar Nayak, Nitila Gokulkrishnan, Krishnaraj Chadaga, Niranjana Sampathila, Hilda Mayrose, Swathi K. S.

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Research on Immersion Cooling Thermal Management of Lithium Ion Battery Combined With Checkerboard Topology Diversion Structure by Qian LIU, Qianlei SHI, Kaixuan LI, Chao XU, Zhirong LIAO, Xing JU

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