Research Status and Prospects of Key Technologies for Rice Smart Unmanned Farms by YU Fenghua, XU Tongyu, GUO Zhonghui, BAI Juchi, XIANG Shuang, GUO Sien, JIN Zhongyu, LI Shilong, WANG Shikuan, LIU Meihan, HUI Yinxuan

“…Rice yield estimation technology is mainly used to predict yield by combining multi-source data and algorithms, but there are still problems such as the difficulty of integrating multi-source data, which requires further research. …”
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Survey on Research Progress of Load Balancing in LTE-Advanced Heterogeneous Network by Juanxiong Xu, Yisha Liu, Lun Tang, Qianbin Chen

“…Following that, a comprehensive taxonomic approach to classifying algorithms of load balancing was proposed, based on which detailed analyses and thorough comparisons for the main strategies in recent years were made; and several schemes to reduce signaling overhead were compared and analyzed in the load balancing process. …”
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Status of research on prediction models for severity in confirmed Covid-19 patients by Maicel Eugenio Monzón-Pérez, Lizet Sánchez-Valdés, Elizabeth Rieche-Gómez, Agustín Lage-Dávila

“…Introduction: Previous knowledge in the scientific literature on clinical prediction models in patients with COVID-19 may be useful for the development of new research. Objective: To describe the sources, authors, documents and key issues that are part of the research front; identify which models, outcome variables, predictors and algorithms have been relevant; and identify to what extent the available models could meet the quality attributes and what characteristics they must have to be applicable to the Cuban context. …”
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The Current Role and Prospects of Electrophysiological Research Methods in Ophthalmology. Literature Review by V. N. Kazajkin, V. O. Ponomarev, A. V. Lizunov, A. E. Zhdanov, A. Yu. Dolganov, V. I. Borisov

“…At the same time, the main area of prospective use of electrophysiological research is differential diagnosis, preclinical toxicology and scientific and experimental models. …”
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Research on RBF-PID hybrid drive control models for drone pesticide applications in tropical orchards by Ruipeng Tang, Jianrui Tang, Narendra Kumar Aridas, Mohamad Sofian Abu Talip, Loy Chee Luen

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Spatial patterns and MRI-based radiomic prediction of high peritumoral tertiary lymphoid structure density in hepatocellular carcinoma: a multicenter study by Juan Chen, Xiong Chen, Kai Fu, Lan Zhou, Shichao Long, Mengsi Li, Linhui Zhong, Aerzuguli Abudulimu, Wenguang Liu, Deng Pan, Ganmian Dai, Yigang Pei, Wenzheng Li

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Assessing the risk of traffic accidents in lisbon using a gradient boosting algorithm with a hybrid classification/regression approach by Nuno Alpalhão, Pedro Sarmento, Bruno Jardim, Miguel de Castro Neto

“…This research presents a novel two-stage gradient-boosting predictive model, using tree-based learning algorithms to analyze traffic accidents requiring firefighter intervention in Lisbon, Portugal. …”
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Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street by Tianning Yao, Yao Xu, Liang Sun, Pan Liao, Jin Wang

“…Consequently, there is a pressing need to develop a set of spatial quality evaluation methods incorporating pedestrian perspectives, thereby addressing the neglect of subjective human experiences in spatial quality research. …”
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Identification of Major Bleeding Events in Postoperative Patients With Malignant Tumors in Chinese Electronic Medical Records: Algorithm Development and Validation by Hui Li, Haiyang Yao, Yuxiang Gao, Hang Luo, Changbin Cai, Zhou Zhou, Muhan Yuan, Wei Jiang

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A Review of Research on Flight Delay Propagation: Current Situation and Prospect by N. Li, H. G. Yao

“…For the research of delay propagation within airlines, scholars mainly use econometric models, Bayesian networks, function models, and propagation trees to analyze the influencing factors and propagation characteristics of delay propagation. …”
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Research Progress on Identification and Extraction Methods of Soil and Water Conservation Measures by TIAN Pei, REN Yiling, CHEN Yan

“…By combing the research results of identification and extraction methods of soil and water conservation measures at home and abroad, the existing shortcomings are summarized and the research prospects are put forward. …”
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Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data by Jozef Rusin, Thomas Lavergne, Anthony P. Doulgeris, K. Andrea Scott

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An Assembled Feature Attentive Algorithm for Automatic Detection of Waste Water Treatment Plants Based on Multiple Neural Networks by Cong Li, Zhengchao Chen, Zhuonan Huang, Yue Shuai, Shaohua Wang, Xiangkun Qi, Jiayi Zheng

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Addressing Spatial Variability in Estimating Cover Management Factor of Soil Erosion Models using Geoinformatics: A Case Study of Netravati Catchment, Karnataka, India by Waleed Makhdumi, Shwetha H. R., G. S. Dwarakish, Jagadeesha B. Pai

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Content Analysis of Judges’ Sentiments Toward Artificial Intelligence Risk Assessment Tools by A. Fine, S. Le, M. K. Miller

“…Using the data gathered about judges’ sentiments toward AI, the authors discuss the integration of AI into the legal system and future research.Practical significance: the main provisions and conclusions of the article can be used in scientific, pedagogical and law enforcement activities when considering the issues related to the legal risks of using artificial intelligence.…”
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Few-shot hotel industry site selection prediction method based on meta learning algorithms and transportation accessibility by Na Li, Huaishi Wu

“…Therefore, this paper takes the star-rated hotels in the six districts of Tianjin as the research subject and proposes a few-shot hotel location prediction method based on meta-learning algorithms and transportation accessibility. …”
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Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges by Shunlin Liang, Tao He, Jianxi Huang, Aolin Jia, Yuzhen Zhang, Yunfeng Cao, Xiaona Chen, Xidong Chen, Jie Cheng, Bo Jiang, Huaan Jin, Ainong Li, Siwei Li, Xuecao Li, Liangyun Liu, Xiaobang Liu, Han Ma, Yichuan Ma, Dan-Xia Song, Lin Sun, Yunjun Yao, Wenping Yuan, Guodong Zhang, Yufang Zhang, Liulin Song

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Integrating Genetic Algorithm and Geographically Weighted Approaches into Machine Learning Improves Soil pH Prediction in China by Wantao Zhang, Jingyi Ji, Binbin Li, Xiao Deng, Mingxiang Xu

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Principles and Algorithms of Neurotic Level Anxiety Disorders (Anxiety-phobic, Panic and Generalized Anxiety Disorder Psychopharmacological Treatment by T. A. Karavaeva, A. V. Vasileva, S. V. Poltorak, Y. P. Kolesova

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Prediction of Coiled Tubing Erosion Rate Based on Sparrow Search Algorithm Back-Propagation Neural Network Model by Yinping Cao, Fengying Fang, Guowei Wang, Wenyu Zhu, Yijie Hu

“…However, with the increase in fracturing, drilling, and sand-washing operations, the erosion of coiled tubing walls caused by solid particles has become one of the main failure modes. To accurately predict the erosion rate of coiled tubing, this study studied the influence law of erosion rate through experiments, screened the main influencing factors of erosion rate by grey relational analysis (GRA), and established a back-propagation neural network (BPNN) model optimized by the sparrow search algorithm (SSA) to predict the erosion rate. …”
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