Research on Parameter Influence of Offshore Wind Turbines Based on Measured Data Analysis by Renfei Kuang, Jinhai Zhao, Tuo Zhang, Chengyang Li

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Research on Atlantic surface pCO2 reconstruction based on machine learning by Jiaming Liu, Jie Wang, Xun Wang, Yixuan Zhou, Runbin Hu, Haiyang Zhang

“…This has substantial implications for marine resource assessment and management, marine ecosystems, and global climate change research. This study utilizes SOCAT cruise survey data to assess the accuracy of global sea surface pCO2 products offered by Copernicus Marine Service and the Chinese Academy of Sciences Ocean Science Research Center. …”
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Research on Ship Main Engine Fuel Consumption Model With Data Integration and Noise Cleaning by Yingbin Chen, Zhenping Huang, Liang Feng

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Research on transformer operation state prediction based on comprehensive weights and BO-CNN-GRU by Ying Liu, Wenbin Cao, Xiaoming Zhang, Yuhang Sun, Xu Sun

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Research on Predicting Joint Rotation Angles Through Mechanomyography Signals and the Broad Learning System by Yu Bai, Xiaorong Guan, Huibin Li, Shi Cheng, Rui Zhang, Long He

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Research on recycling value grading and real-time perception of rock debris from TBM tunneling by Weiqi Yue, Weilin Su, Zhanfei Gu, Xiao Qu

“…Notably, the hyperparameter optimization significantly enhances the accuracy of the ANN perception model. …”
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Research on temporary shipping network model and optimization strategy under partial shipping network disruption by Zhiyi Ye, Xiang Yuan

“…Facing the critical challenge of partial maritime network disruptions caused by escalating natural disasters, geopolitical conflicts, and infrastructure failures, this research develops a novel methodology and optimization model for the rapid establishment of effective temporary shipping networks. …”
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Scalable evaluation framework for retrieval augmented generation in tobacco research using large Language models by Sherif Elmitwalli, John Mehegan, Sophie Braznell, Allen Gallagher

“…Abstract Retrieval-augmented generation (RAG) systems show promise in specialized knowledge domains, but the tobacco research field lacks standardized assessment frameworks for comparing different large language models (LLMs). …”
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Research on Shale Oil Well Productivity Prediction Model Based on CNN-BiGRU Algorithm by Yuan Pan, Xuewei Liu, Fuchun Tian, Liyong Yang, Xiaoting Gou, Yunpeng Jia, Quan Wang, Yingxi Zhang

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Research on constrained policy reinforcement learning based multi-objective optimization of computing power network by Linjiang SHEN, Chang CAO, Chao CUI, Yan ZHANG

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Research on Predictive Analysis Method of Building Energy Consumption Based on TCN-BiGru-Attention by Sijia Fu, Rui Zhu, Feiyang Yu

“…Although there are currently a large number of energy consumption research methods, each method has different applicability and advantages and disadvantages. …”
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Research on Maneuvering Motion Prediction for Intelligent Ships Based on LSTM-Multi-Head Attention Model by Dongyu Liu, Xiaopeng Gao, Cong Huo, Wentao Su

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Capturing research literature attitude towards sustainable development goals: an LLM-based topic modeling approach by Francesco Invernici, Francesca Curati, Jelena Jakimov, Amirhossein Samavi, Anna Bernasconi

“…Natural language processing techniques can help uncover discussions on SDGs within research literature. We propose a completely automated pipeline that (1) fetches content from academic literature and prepares datasets dedicated to five groups of SDGs; (2) performs topic modeling, a statistical technique used to identify topics in large collections of textual data; and (3) enables topic exploration through keywords-based search and topic frequency time series extraction. …”
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Research on Indoor Object Detection and Scene Recognition Algorithm Based on Apriori Algorithm and Mobile-EFSSD Model by Wenda Zheng, Yibo Ai, Weidong Zhang

“…The localization loss includes a hyperparameter, and focal loss replaces confidence loss. …”
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Short-Term Electrical Load Forecasting Through Optimally Configured Long Short-Term Memory by Somasundaram Vasudevan, Kandasamy Jothinathan

“…To address this challenge, this research integrates the Cauchy-distributed Harris Hawks Optimization (Cd-HHO) method to optimally configure the LSTM model. …”
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Research on an Intelligent Prediction Method for the Carbon Emissions of Prefabricated Buildings During the Construction Stage, Based on Modular Quantification by Yang Yang, Xiaodong Cai, Xinlong Ma, Gang Yao, Ting Lei, Hongbo Tan, Ying Wang

“…The results show that the model based on BPNN has the highest prediction accuracy when determining the carbon emissions of prefabricated building during the construction stage, and this method can provide a more accurate reference for subsequent quantitative research on carbon emissions from prefabricated buildings.…”
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Machine learning-based identification of proteomic markers in colorectal cancer using UK Biobank data by Swarnima Kollampallath Radhakrishnan, Dipanwita Nath, Dominic Russ, Dominic Russ, Dominic Russ, Laura Bravo Merodio, Laura Bravo Merodio, Laura Bravo Merodio, Priyani Lad, Folakemi Kola Daisi, Animesh Acharjee, Animesh Acharjee, Animesh Acharjee

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Research on GRU-LSTM-Based Early Warning Method for Electric Vehicle Lithium-Ion Battery Voltage Fault Classification by Liang Zhang, Qizhi Wu, Longfei Wang, Ling Lyu, Linru Jiang, Yu Shi

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Research on a hybrid deep learning model based on two-stage decomposition and an improved whale optimization algorithm for air quality index prediction by Hangyu Zhou, Yongquan Yan

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Research on dynamic prediction and optimization of high altitude photovoltaic power generation efficiency using GVSAO-CNN Model under 8-climate modes by Xiaoming Xiong, Heng Hu, Qiangfu Jia, Rongjian Zhang, Chongan Huang, Qingyuan Lu

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