Development of a prediction model for acute respiratory distress syndrome in ICU patients with acute pancreatitis based on machine learning algorithms by REN Xia*，LIU Luojie，ZHA Junjie，YE Ye，XU Xiaodan，YE Hongwei，ZHANG Yan

“…"Objective To develop and validate a predictive model based on machine learning algorithms to assess the risk of acute respiratory distress syndrome（ARDS）in patients with acute pancreatitis（AP）admitted to the intensive care unit（ICU）. …”
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Development and validation of an algorithm to estimate the risk of severe complications of COVID-19: a retrospective cohort study in primary care in the Netherlands by Martijn W Heymans, Amber A van der Heijden, Petra J M Elders, Giel Nijpels, Karin M A Swart, Koos van der Velden, Joline W J Beulens, Ron M C Herings, Bernard A M van der Zeijst, Eric G Hiddink, Reinier A R Herings, Hein P J van Hout

“…Objective To develop an algorithm (sCOVID) to predict the risk of severe complications of COVID-19 in a community-dwelling population to optimise vaccination scenarios.Design Population-based cohort study.Setting 264 Dutch general practices contributing to the NL-COVID database.Participants 6074 people aged 0–99 diagnosed with COVID-19.Main outcomes Severe complications (hospitalisation, institutionalisation, death). …”
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Toward a learnable Artificial Intelligence Model for Aerosol Chemistry and Interactions (AIMACI) based on the Multi-Head Self-Attention algorithm by Z. Xia, C. Zhao, C. Zhao, C. Zhao, Z. Yang, Q. Du, J. Feng, C. Jin, J. Shi, H. An, H. An

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Research on the Stability Prediction and Optimization of CNC Milling Based on Bagging–NSGAⅡ Under the Influence of Multiple Factors by Congying DENG, Qian YOU, Yang ZHAO, Lijun LIN, Guofu YIN

“…The stability of milling depends mainly on the process parameters and the dynamic characteristics of the tool–workpiece system; however, the system dynamics vary with the machining position and tool properties. …”
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Medical Multimedia Image Analysis of Scoliosis in Children Aged 3–7 Years Based on Adaptive Multiobjective Differential Evolution Algorithm by Chunxiang Huang

“…Scoliosis is mainly caused by the spinal column deviating from its centerline during the growth process. …”
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Design of multi-innovation hierarchical fractional adaptive algorithm for generalized bilinear-in-parameter system using the key term separation principle by Yancheng Zhu, Huaiyu Wu, Zhihuan Chen, Zhenhua Zhu, Yang Chen, Xiujuan Zheng

“…Abstract This paper mainly studies the issue of fractional parameter identification of generalized bilinear-in-parameter system(GBIP) with colored noise. …”
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Advanced internet of things enhanced activity recognition for disability people using deep learning model with nature-inspired optimization algorithms by Mohammed Maray

“…In this manuscript, an Enhanced Activity Recognition for Disability People Using a Deep Learning Model and Nature-Inspired Optimization Algorithms (EARDP-DLMNOA) model is proposed. The EARDP-DLMNOA model mainly relies on improving the activity recognition model using advanced optimization algorithms. …”
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Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally, S. K. Towfek

“…Transitioning to recurrent neural network architectures, mainly BIGRU, enabled the modeling of sequential dependence on emissions data. …”
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Do Deep Learning Algorithms Accurately Segment Intracerebral Hemorrhages on Noncontrast Computed Tomography? A Systematic Review and Meta‐Analysis by Diana Zarei, Mahbod Issaiy, Shahriar Kolahi, David S. Liebeskind

“…This study conducts a comprehensive systematic review and meta‐analysis to evaluate the precision of deep learning algorithms in delineating ICH on noncontrast computed tomography. …”
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To Determine the Risk-Based Screening Interval for Diabetic Retinopathy: Development and Validation of Risk Algorithm from a Retrospective Cohort Study by Jinxiao Lian, Ching So, Sarah Morag McGhee, Thuan-quoc Thach, Cindy Lo Kuen Lam, Colman Siu Cheung Fung, Alfred Siu Kei Kwong, Jonathan Cheuk Hung Chan

“…This study aimed to develop a risk algorithm to predict the individual risk of referable sight-threatening diabetic retinopathy (STDR) in a mainly Chinese population and to provide evidence for risk-based screening intervals. …”
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Optimization of Neighborhood Public Space Design Based on Physical Environment Simulation and Crowd Simulation—A Case Study of Xiaomi’s Changping Campus by Ziyun Ye, Xiaoyu Cao, Xiong Gao, Kun Wang

“…This paper selects the Xiaomi Beijing Changping II design project, simulates and deduces the physical environment of its location, simulates the results of the natural environment by using the data of sunshine, wind, and water catchment in the physical environment, and then simulates the crowd’s action paths by combining kinetic algorithms and ant algorithms to optimise the design methods, processes, and results of the neighbourhood public space on the basis of this research. …”
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A prototype-based rockburst types and risk prediction algorithm considering intra-class variance and inter-class distance of microseismic data by Xiufeng Zhang, Guoying Li, Yang Chen, Hao Wang, Haikuan Zhang, Haitao Li, Weisheng Du, Xiao Li, Xuewei Xu, Yuze He

“…Cross-entropy loss, vector-prototype contrastive loss, and vector-prototype contrastive loss are proposed to automatically control the intra-class variance and inter-class gap of prediction vectors belonging to different rockburst risks and types. Many experiments show that the performance of the proposed CNN-GRU model with prototype-based prediction is superior to other algorithms in the prediction of rockburst risks and types based on MS data.…”
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Energy efficient adaptive clustering with QoS-aware CBRP and grey wolf optimization clustering algorithm for mobile ad-hoc network (MANET) by Minal Patil, Manish Chawhan, Roshan Umate, Abhishek Madankar, Bhumika Neole

“…To meet these challenges, the algorithm of the gray wolf enhancement (GWOCA) focuses on the use of energy and choosing the best cluster (CHS). …”
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NVH Analysis and Optimization of Light Truck Electric Drive Axles Based on Romax by Hao Yingbo, Liu Lidong

“…In order to find out the main cause of howling and carry out optimization lifting, the method of combining experiment with simulation was adopted. …”
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Multi-objective mathematical programs to minimize the makespan, the patients' flow time, and doctors' workloads variation using dispatching rules and genetic algorithm by Jerbi Badreddine, Kanoun Salma, Kamoun Hichem

“…For larger instances, we use a genetic algorithm to approximately solve our multi-objective model.…”
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Approximating optimization problems in graphs with locational uncertainty by Marin Bougeret, Jérémy Omer, Michael Poss

“…Many combinatorial optimization problems can be formulated as the search for a subgraph that satisfies certain properties and minimizes the total weight. …”
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Development of a grape-harvesting robot using a multi-step detection method based on AI and a position-estimation algorithm by Weiguo Wang, Liangliang Yang, Noboru Noguchi

“…The consumption of Japan wine is increasing year by year, and the country's grape-cultivation industry is facing many challenges. Grape harvesting, as a labor-intensive industry, requires a large amount of labor input, and many problems (e.g., the aging population and labor shortage) have already had huge impacts on grape cultivation, making the need for automated grape harvesting increasingly urgent. …”
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<i>Synthesis of control algorithms on-board information and control systems of aircraft </i><i>at the minimum criterion of accesses to local memory</i> by N. S. Akinshin, E. A. Staroguk

“…Formalized the problem of choosing a set of programs to implement many of the algorithms and optimizing the structure of the local memory that belong to the class of problems of discrete programming with pseudoboolean variables. …”
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Modeling of turbulent fluid flow based on the solution of the Mathieu equation by V. V. Garbuzov, A. P. Preobrazhensky

“…To determine the characteristics of a flow, it is proposed to use Mathieu’s equation. The main steps of the solution algorithm are presented for Mathieu functions that were used over the course of the computer program execution. …”
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Safety anchors and deflected desires: generative AI and the production of sexualities by Daniel Carter

“… Introduction. Many images generated by AI appear sexual in nature, and a great deal of attention is paid in computer science to preventing systems from producing some forms of sexual content. …”
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