Prediction and optimization of acoustic absorption performance of quasi-Helmholtz acoustic metamaterials based on LightGBM algorithm by Jianxin Xu, Weikang Mao, Xiaoqian Yu, Bingfei Liu

“…The results of this study show that the acoustic performance of quasi-Helmholtz acoustic metamaterials can be predicted and optimized using machine learning methods. The study in this paper combines the method of machine learning with acoustic problems to provide a fast method for predicting the absorption performance of acoustic metamaterials.…”
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Choice of a Procedure for Optimizing Positive End-Expiratory Pressure in Patients with Acute Respiratory Distress Syndrome by A. V Vlasenko, V. V Moroz, V. N Yakovlev, V. G Alekseyev, N. N. Bulatov

“…Subjects and methods. During a prospective study, 46 examined patients (30 men, 16 women; their age was 21 to 67 years) with ARDS of different genesis were divided into 2 groups: 1) 22 patients (14 men and 8 women) in whom the causes of ARDS were direct damaging factors: gastric content aspiration, blunt chest injury with lung contusion, and acute bilateral bacterial pneumonia; 2) 24 patients (16 men and 8 women) in whom the causes of ARDS were indirect damaging factors: abdominal sepsis, severe nonthoracic injury, and acute massive blood loss. …”
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Modern possibilities for optimizing the calculation of intraocular lens optical power using deep machine learning capabilities by A.R. Vinogradov, B.G. Dzhashi, S.V. Balalin

“…Results.Two different approaches using artificial intelligence in optimization of IOL calculation are known: firstly, modification of existing theoretical formulas and secondly, based only on analysis of patients’ database before and after IOL implantation. …”
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Online Voltage Regulation With Minimum Disturbance for Distribution Grid Without System Knowledge by Hamad Alduaij, Yang Weng

“…These designs lead to a highly robust adaptive online policy, which reduces the perturbation gradually but monotonically based on the optimal control guarantee. For extensive validation, we test our controller on various IEEE test systems, including the 4-bus, 13-bus, 30-bus, and 123-bus grids, with different penetrations of renewables, various set-ups of meters, and diversified regulators. …”
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Clinical and psychological aspects of pregnancy and features of the course of labor in women with different types of psychological component of gestational dominant by V. M. Astakhov, O. V. Batsylieva, I. V. Puz

“…Materials and methods. The study involved 126 pregnant women. At the first stage of the study (27–28 weeks’ gestation), a clinical and psychological study was conducted using specially selected psychodiagnostic methods and techniques. …”
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Unsignalized intersection vehicle platoon formation scheduling method based on mixed traffic by Junfeng Jiang, Yikang Rui, Bin Ran

“…The results show that MPSM possesses good delay performance and has an advantage over Adaptive Signal Control Method (Adaptive-SIM), FCFS, and DFST algorithms, which can be applied in different traffic environments.…”
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Extremely High-Efficiency Coupling Method for Hollow-Core Photonic Crystal Fiber by Danyun Fan, Zhiqiang Jin, Guanghui Wang, Fei Xu, Yanqing Lu, Dora Juan Juan Hu, Lei Wei, Ping Shum, Xuping Zhang

“…A DSA-GSA matching model is proposed to calculate the efficiency for different splicing situations. In the optimal condition of GSA > DSA, the transmission loss could approach zero, only including the scattering loss of etched fiber. …”
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Multi-Objective Optimization of Buildings’ Exterior Wall Insulation Based on Comprehensive Analysis Models and Assessment Indexes by Haitao Wang, Zhu He, Chengzhou Guo

“…The research results showed that the EFLHEC provided an accurate and simple energy consumption prediction method for buildings’ exterior walls. The optimal design scheme was determined by comparing the values of balanced indexes for different design schemes of external wall insulation. …”
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Coupling circuit design for Single-Wire Earth Return PLC applications through cascaded s-parameters optimization by Kristi Beqirllari, Cagil Ozansoy, Douglas Gomes

“…The proposed method has been applied to different cost functions and different levels of target mean error. …”
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Optimization of magnetic compound fluid polishing process parameters for PMMA workpieces based on grey relational analysis by Youliang WANG, Xichun GAO, Wenjuan ZHANG

“…ObjectivesMCF polishing technology has become an advanced ultra-precision machining method. To address the issue of different process parameters in achieving optimal surface quality or maximum processing efficiency in MCF polishing technology, it is necessary to accurately control the range of each process parameter and deeply understand the impact of different process parameters on MCF polishing performance.MethodsThe process parameters of the MCF polishing tool are optimized based on grey relation analysis (GRA) to meet the requirements of minimum surface roughness while improving material removal efficiency. …”
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Energy Efficiency Optimization Design for Cycle Position Servo PMSM Based on Operating Energy Consumption Model by Bin Yuan, Hui Li, Xuewei Xiang, Hao Zhou

“…Combined with the physical analytical model of mechanical power and friction, a data-model driven precise model is established, enabling quantitative evaluation of the cycle energy consumption with different PMSM design schemes; then, taking cycle operating energy consumption and peak torque as optimization objectives, the optimal Latin hypercube sampling method is employed to generate finite element optimization data samples. …”
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Optimizing PV Panel Segmentation in Complex Environments Using Pre-Training and Simulated Annealing Algorithm: The JSWPVI by Rui Zhang, Ruikai Hong, Qiannan Li, Xu He, Age Shama, Jichao Lv, Renzhe Wu

“…The JSWPVI employs a semi-supervised approach to construct and optimize a comprehensive segmentation network, incorporating the Spatial and Channel Weight Adaptive Model (SCWA) module to integrate different feature layers by reconstructing the spatial and channel weights of feature maps. …”
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Optimization and Scheduling of Comprehensive Energy Systems Considering AmmoniaRefrigeration and Ammonia Blending in Thermal Power Plants by CHU Zhuang, YUAN Jixin

“…[Methods] First，the reactants for electric to ammonia conversion were obtained through the electrolysis of water and pressure swing adsorption of air. …”
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Optimization of Phenolic Compound Extraction from Pineapple Leaf Fiber: Stability Enhancement and Application in Mango Preservation by Yijun Liu, Huifang Ma, Yuhan Wang, Qiangyou Li, Mingyang Shi, Gang Chen

“…Focusing on the challenges of low utilization of pineapple leaves and the poor stability of phenolic compounds (PCs) in pineapple leaf fiber using traditional solvent extraction methods, the effects of different extraction media (including distilled water, neutral methanol, acidic methanol, alkaline methanol, neutral ethanol, and alkaline ethanol) was systematically investigated on the extraction efficiency of PCs from pineapple leaf fiber. …”
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Influence of Segment Shape Optimization Parameter in Radiotherapy Volumetric Modulated Arc Therapy Planning of Cervical Cancer by Nidhi Jain, Alok Kumar, Ashok Kumar

“…Introduction: The aim of this study is to find out the influence of different Segment shape optimization (SSO) parameters in radiotherapy Volumetric Modulated Arc therapy (VMAT) planning of Cervical Cancer and to find out the optimized value for cervical cancer patients.Material and Methods: It was a retrospective study of 20 Ca cervix patients. …”
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Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMR by Bibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, Manmath Nath Das, Prince Jain, Ghanashyam Sahoo, Haipeng Liu

“…It has been observed that concentration on datasets drawn from supporting primary sources using machine learning algorithms brings the accuracy expected for cancer diagnosis. <b>Methods:</b> This research presents an innovative cancer classification technique that combines fast minimum redundancy-maximum relevance-based feature selection with Binary Portia Spider Optimization Algorithm to optimize features. …”
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A Novel Approach for Portfolio Optimization Using Fuzzy AHP Based on Gustafson Kessel Clustering Algorithm by Yeşim Akbaş, Türkan Erbay Dalkılıç, Serkan Akbaş

“…In addition, in order to examine the effectiveness of the proposed model within the scope of the study, portfolio distributions were obtained with different portfolio optimization methods using the same data set and the results were compared.…”
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Design of Surface Modified Acyclovir-loaded Graphene Oxide–Mesoporous Silica Nanocomposite: Optimization and In Vitro Characterization by Ketan B. Patil, Jayvadan K. Patel, Hardik H. Goswami, Arjun S. Chaudhari

“…In conclusion, the design of LC-ACV-GO–MSN nanocomposite using optimized GO–MSN followed lipid coating offers the modified release. …”
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Optimizing Voice Sample Quantity and Recording Settings for the Prediction of Type 2 Diabetes Mellitus: Retrospective Study by Atousa Assadi, Jessica Oreskovic, Jaycee Kaufman, Yan Fossat

“…MethodsWe analyzed voice recordings from 78 adults (22 women), including 39 individuals diagnosed with T2DM. …”
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Enhancing Unmanned Aerial Vehicle Object Detection via Tensor Decompositions and Positive–Negative Momentum Optimizers by Ruslan Abdulkadirov, Pavel Lyakhov, Denis Butusov, Nikolay Nagornov, Dmitry Reznikov, Anatoly Bobrov, Diana Kalita

“…We verified the performance of the proposed and known neural networks on different optimizers. It is shown that the proposed neural network accelerates the solving object detection problem by 44–52%. …”
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