UAVAI-YOLO: dense small target detection algorithm based on UAV aerial images by HE Zhiqian, CAO Lijie

“…An improved UAVAI-YOLO model was proposed to address the problem of poor target detection in UAV aerial images. …”
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Formal variations in the architecture of linear structures by Haider Manea Katami AL-Hashemi, kifah Guma Hafez

“…The first chapter dealt with the research problem, which posed the following question: (What are the formal variations in the architecture of linear structures?) …”
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Challenges of Vehicle Classification Using Acoustics by Raiden Evans, Stephanie Mullins, George Noel

“…Automated acoustic classification of vehicles is a challenging problem with many variables. Vehicles produce complex sounds from many sources, sound signatures vary between similar vehicles, and background noise has a large impact on audio data. …”
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Probabilistic genotype-phenotype maps reveal mutational robustness of RNA folding, spin glasses, and quantum circuits by Anna Sappington, Vaibhav Mohanty

“…Recent studies of genotype-phenotype maps have reported universally enhanced phenotypic robustness to genotype mutations, a feature essential to evolution. Virtually all of these studies make a simplifying assumption that each genotype—represented as a sequence—maps deterministically to a single phenotype, such as a discrete structure. …”
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PERFORMANCE DEGRADATION ASSESSMENT OF ROLLING BEARING BASED ON SINGLE RING THEOREM IN RANDOM MATRIX THEORY by SHAN Qiang, NI GuangXian, WANG Heng

“…A rolling bearing performance degradation assessment algorithm based on single ring theorem in the random matrix theory is proposed to solve the problem that the traditional feature extraction algorithm is not sufficient to extract the useful information of the bearing under the industrial big data environment, and the constructed index is difficult to effectively characterize the bearing degradation process. …”
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Machine learning for early prediction of the infection in patients with urinary stone after treatment of holmium laser lithotripsy. by Weiqi Xia, Miaomiao Zhang, Xiaowei Zheng, Zushuai Wu, Zixue Xuan, Ping Huang, Xiuli Yang

“…We retrospectively collected 1006 cases of patients with urinary stone after treatment of holmium laser lithotripsy from Zhejiang Provincial People's Hospital. Feature engineering was added to filter the important characteristics and Miceforest multiple imputation method was applied to tackle the missing data problem. …”
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Commodity Price Recognition and Simulation of Image Recognition Technology Based on the Nonlinear Dimensionality Reduction Method by Yongbin Liu, Jingjie Wang, Wei Bai

“…As an effective nonlinear feature extraction method, the nonlinear dimensionality reduction method can find the nonlinear structure of datasets and maintain the intrinsic structure of data. …”
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Sociocultural Factor of Influence on the Formation of Ideas of the Scientific Management of Labour in the Works of Aleksei Gastev by I. V. Dvoluchanskii

“…The article substantiates the connection between the socio-cultural situation of workers in the 1920s and the formation of the ideas of scientific management labour. The characteristic feature of the ideas of scientific management labour, aimed at the formation of the new culture of labour, is revealed. …”
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OPTIMIZATION ANALYSIS OF THE SCROLL EXPANDER SPECIAL TOP PROFILE CORRECTION IN THE INLET PORT by JIA JianPing, LI YuFeng, LIU GuoPing, ZHANG GuoLin, LI Bin

“…The study has been done with focus on the pneumatic power conversion efficiency by analyzing Perfect Meshing Profile（ PMP） correction of the scroll expander with the serious top profile invasion of the inlet port problem in application. The maximal invasion rate reaches 50%,which leads to the increase of inlet air flow friction coefficient. …”
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Research on the Application of Variational Mode Decomposition Optimized by Snake Optimization Algorithm in Rolling Bearing Fault Diagnosis by Houxin Ji, Ke Huang, Chaoquan Mo

“…However, the fault signal of rolling bearing is susceptible to noise interference, which makes it difficult to extract the fault characteristics of the rolling bearing and thus affects the accuracy of the diagnosis results. To address this problem, this paper proposes a method by using a snake optimization algorithm to optimize variational mode decomposition (SOA-VMD) and applies it to the extraction of the fault feature of rolling bearing. …”
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Performance Analysis of an Optimized ANN Model to Predict the Stability of Smart Grid by Ayushi Chahal, Preeti Gulia, Nasib Singh Gill, Jyotir Moy Chatterjee

“…Different machine learning (ML) and deep learning (DL) models can be used to tackle the problem of stability prediction for the energy grid. …”
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Research on pose estimation algorithm of non-cooperative target tracked vehicles based on PnP model by Zhigang Ren, Xinagjun Tang, Guoquan Ren, Dinghai Wu

“…To address the pose estimation problem of non-cooperative tracked vehicles, this study proposes a non-iterative Perspective-n-Point (PnP) method. …”
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Drug Users and Cannabis by Ruken Macit

“…Drug abuse is a major social problem faced by all countries. From the past to the present, although there are many different drugs, some have a more important place than others. …”
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The Biographizme as a Factor of the Genre Creation (In the Material of the Lesia Ukrainka’s Works) by Yuliia Levchuk

“…The main attention in the research is concentrated in the analyses of work “The Winter Night in a the Foreign Country”, in which the author by the … person (Muse) mediation and the lyrical I is decide the existence problem. As a result the scientific work is ascertain, that lyrical person (what has named herself Lesia Ukrainka) can’t describe her feelings in this mode. …”
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Improving the Solution of Least Squares Support Vector Machines with Application to a Blast Furnace System by Ling Jian, Shuqian Shen, Yunquan Song

“…The MINRES method-based LS-SVM can effectively perform feature reduction and model selection simultaneously, so it is a practical tool for the silicon trend prediction task.…”
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A hybrid Bi-LSTM and RBM approach for advanced underwater object detection. by Manimurugan S, Karthikeyan P, Narmatha C, Majed M Aborokbah, Anand Paul, Subramaniam Ganesan, Rajendran T, Mohammad Ammad-Uddin

“…The model benefits from effective feature learning, aided by RBMs that enable the extraction of hierarchical and abstract representations. …”
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Decentralized Control of a Group of Homogeneous Vehicles in Obstructed Environment by Vyacheslav Pshikhopov, Mikhail Medvedev, Alexander Kolesnikov, Roman Fedorenko, Boris Gurenko

“…During control and path planning the obstacles are transformed into repellers by the synthesized controls. The main feature distinguishing the developed approach from the potential fields method is that the vehicle moves in the fields of forces depending not only on the mutual positions of a robot and an obstacle but also on the additional variables allowing solving the problem of robot’s path planning using a distributed control system (Pshikhopov and Ali, 2011). …”
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Preliminary Design of Debris Removal Missions by Means of Simplified Models for Low-Thrust, Many-Revolution Transfers by Federico Zuiani, Massimiliano Vasile

“…This paper presents a novel approach for the preliminary design of Low-Thrust, many-revolution transfers. The main feature of the novel approach is a considerable reduction in the control parameters and a consequent gain in computational speed. …”
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Fields2Benchmark: An open-source benchmark for coverage path planning methods in agriculture by Gonzalo Mier, Ana María Casado Faulí, João Valente, Sytze de Bruin

“…The agricultural coverage path planning problem focuses on optimizing coverage paths for agricultural operations. …”
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A Novel Stream Network Upscaling Scheme for Accurate Local Streamflow Simulations in Gridded Global Hydrological Models by P. K. Shrestha, L. Samaniego, O. Rakovec, R. Kumar, S. Thober

“…Gridded HMs not preserving the DEM‐reference (or subgrid) catchment area is usually referred as the catchment size problem. SCC allows multiple outflow from grid cells, a key feature that preserves the subgrid catchment area of all points of interest across scales. …”
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