Research on Price Prediction of Stock Price Index Based on Combination Method with Introduction of Options Market Information by Yi Hu, Xin Sui, Qi Zhang, Wei Zhang

“…It allows for weighted integration of prediction results derived from various options information, offering a novel research angle for spot market price prediction. The study also underscores the importance of implicit information mining and multi-market information fusion for price prediction, which is expected to become a key research focus in this field.…”
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Research on Key Technologies and Design of High-peed Transmission Protocol in Space-Integrated-Ground Information Network by Yaming Ban, Hao Zheng, Zhe Liu, Siyang Dong

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Research on the Inversion of Key Growth Parameters of Rice Based on Multisource Remote Sensing Data and Deep Learning by Jian Li, Jian Lu, Hongkun Fu, Wenlong Zou, Weijian Zhang, Weilin Yu, Yuxuan Feng

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The Establishment of a Discrete Element Model of Wheat Grains with Different Moisture Contents: A Research Study by He Li, Guangmeng Guo, Lu Xun, Junhao Lu, Huanhuan Chen, Gongpei Cui

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Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem by Yi Chang, Ming Dong, Lihong Fan, Bochao Kang, Weikai Sun, Xiaofeng Li, Zhang Yang, Ming Ren

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Research on Hybrid Hysteresis Modeling of Harmonic Reducer based on Parallel with Memristor Hysteresis Model and Neural Network by Xuanju Dang, Fang Wei

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Research and Design of RU Type and YU Type Pulley Cutter Tooth Profile of Engine Timing System by Jianhua Guo, Zhenzhen Hu, Yizhen Wu, Junpeng Hou, Hongyuan Jiang

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Research on a virtual-real fusion experimental system for the cutting part of a boom-type roadheader. by Jianzhuo Zhang, Ce Chen, Xiaoyu Ding, Tao Wang, Chuanxu Wan, Wenliang Li

“…Aiming at the problems of high safety risks, economic costs, and inefficiency in experimental research on boom-type roadheaders, this study proposes a virtual-real fusion experimental system for the cutting module. …”
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Research on Railway Passenger Volume Forecast Based on the Spline Interpolation and IPSO-Gradient Difference Acceleration Rule by Dingyuan Fan, Fei Yang, Jinghao Ji, Zexi Zhang

“…Finally, taking Beijing as the research object, the Holt exponential smoothing method and the BP neural network are selected to verify the effect of spline interpolation and IPSO-gradient difference acceleration law on prediction accuracy. …”
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Research on intelligent detection method of new energy vehicle power battery based on improved ViBe algorithm by Lei Gu

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Research on Spectral Leakage Suppression Method of Coherent Wind Lidar Based on Hanning Self-Convolutional Window by Chen Su, Shoufeng Tong, Peng Lin, Naiyuan Liang, Zejie He, Xiaonan Yu

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A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research by Lukas Nolte, Sven Tomforde

“…However, experimental research still predominantly relies on traditional, time-consuming, resource-intensive, and costly trial-and-error experimentation approaches that hinder rapid discovery, reproducibility, and scalability. …”
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In-situ direct shear test and numerical comparative research on mudstone gravel slope reinforced by polymer grouting by Mengqiang Shen, Zhichao Zhang, Changguang Qi, Yihan Lu, Rongyue Zheng

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Research on the cold charging performance of refrigerated truck accumulator plate based on heat pipe heat transfer by HUANG Jiexuan, WANG Qiang, HUI Xiaoyang, WANG Da, TAN Shengxuan

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Research on a Hybrid Self-Powered Landslide Rainfall Sensor Based on Triboelectric Nanogenerators and Electromagnetic Generators by Hao Zou, Zexu Zuo, Xianhong Shen, Kun Song, Shuai Mao, Bing Chen

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Research on Complex Classification Algorithm of Breast Cancer Chip Based on SVM-RFE Gene Feature Screening by Guobin Chen, Xianzhong Xie, Shijin Li

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Earthwork Network Architecture (ENA): Research for Earthwork Quantity Estimation Method Improvement with Large Language Model by Taewook Kang, Kyubyung Kang

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TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research by William Ndzimbong, Cyril Fourniol, Loic Themyr, Nicolas Thome, Yvonne Keeza, Benoît Sauer, Pierre-Thierry Piéchaud, Arnaud Méjean, Jacques Marescaux, Daniel George, Didier Mutter, Alexandre Hostettler, Toby Collins

“…Abstract Inter-modal image registration (IMIR) and image segmentation with abdominal Ultrasound (US) data have many important clinical applications, including image-guided surgery, automatic organ measurement, and robotic navigation. However, research is severely limited by the lack of public datasets. …”
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Research on a Target Detection Algorithm for Common Pests Based on an Improved YOLOv7-Tiny Model by He Gong, Xiaodan Ma, Ying Guo

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Applying the Rasch Rating Scale Model (RSM) to investigate the rating scales function in survey research instrument by Jimmy Chong, Siti Eshah Mokshein, Ramlee Mustapha

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