STRUCTURE OF METHODOLOGY OF CURRENT PLANNING OF WORK OF CARGO TRANSPORT ENTERPRISE by L. S. Trofimova, N. G. Pevnev

“…The structural-functional representation about the object is used for the  study, and the model for the analysis of the labor process serves as the basis for the decomposition, and takes into account the ATP operation in the current mode.Results. …”
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TOOL WEAR STATE MONITORING BASED ON WAVELET PACKET BP＿ADABOOST ALGORITHM by ZHU Xiang, XIE Feng

“…Aiming at the problems of less tool wear state data,low diagnostic efficiency,high maintenance cost and lack of effective diagnostic methods during CNC machine tool processing,A method of extracting features by wavelet packet analysis and kernel principal component analysis,and using BPAda Boost algorithm to diagnose tool wear state is proposed.The tool vibration signal and the cutting force signal are collected by installing an acceleration sensor on the machined workpiece of the numerical control machine tool and a force gauge on the workbench; Then the wavelet packet decomposition is performed on the signal to pass the signal through the low-pass filter and the high-pass filter of different dimensions,so that the conditional selection can be performed to form the energy value corresponding to the different frequency bands. …”
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Use of granular computing for resource optimization in IoT networks by Jaime Govea, Rommel Gutierrez, William Villegas-Ch

“…Existing optimization methods often fail to adapt in real-time or scale adequately under variable conditions, exposing a critical gap in resource management strategies for dense deployments. …”
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Intelligent Fault Severity Detection of Rotating Machines Based on VMD-WVD and Parameter-Optimized DBN by Ning Jia, Yao Cheng, Youyuan Tian, Feiyu Yang

“…An intelligent fault severity detection method based on variational mode decomposition- (VMD-) Wigner-Ville distribution (WVD) and sparrow search algorithm- (SSA-) optimized deep belief network (DBN) is suggested to address the problem that typical fault diagnostic algorithms are inappropriate for extremely comparable vibration signals when the samples are insufficient. …”
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Leveraging pleiotropy for joint analysis of genome-wide association studies with per trait interpretations. by Kodi Taraszka, Noah Zaitlen, Eleazar Eskin

“…In simulations, we show PAT controls the false positive rate, increases statistical power, and is robust to model misspecifications of genetic effect. Additionally, simulations comparing PAT to three multi-trait methods, HIPO, MTAG, and ASSET, show PAT identified 15.3% more omnibus associations over the next best method. …”
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How lifespan and life years lost equate to unity by Annette Baudisch, Jose Manuel Aburto

“…RESULTS: The sum of life expectancy and life years lost at death, scaled by the level and rate parameters a and b of the Gompertz mortality model, equals one. This plain relationship has mathematical beauty and connects key demographic measures. …”
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Testing keratolytic effect of carbamide in various vehicles by Toskić-Radojičić Marija

“…The aim of this work was to experimentally estimate the influence of the vehicle upon the proteolytic effect of urea on keratin in the human hair model. Methods. Hair geometrical properties, the change in longitudinal mass, and the change of disruptive force and disruptive hair elongation were measured. …”
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Robust radiogenomics approach to the identification of EGFR mutations among patients with NSCLC from three different countries using topologically invariant Betti numbers. by Kenta Ninomiya, Hidetaka Arimura, Wai Yee Chan, Kentaro Tanaka, Shinichi Mizuno, Nadia Fareeda Muhammad Gowdh, Nur Adura Yaakup, Chong-Kin Liam, Chee-Shee Chai, Kwan Hoong Ng

“…The BN-based model was compared to conventional original image (OI)- and wavelet-decomposition (WD)-based models with respect to the RI between the validation and the test.…”
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Statistical testing and spatio-temporal evolution characteristics of the coupling coordination between green agricultural production efficiency and food security. by Tianao Li, Yue Hu

“…Using panel data from 31 Chinese provinces (2010-2022), the study employs a comprehensive analytical framework combining the super-efficiency SBM-DEA model for efficiency measurement, the entropy TOPSIS method for food security evaluation, coupling coordination degree analysis, and multi-dimensional spatial analysis including regional difference decomposition, spatial correlation analysis, and kernel density estimation. …”
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Global, regional, and national burden of congenital musculoskeletal and limb anomalies, 1990–2021: a systematic analysis of the global burden of disease in 2021 by Yu Luo, Rubin Zheng, Jiaxi Chen, Miao Deng, Ziyang Zhang, Zhouke Tan, Zhixun Bai

“…Projections to 2031 were made using an autoregressive integrated moving average (ARIMA) model. Health inequities were assessed via the slope index of inequality (SII) and concentration index (CI). …”
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Vision Transformer and Brain Connectivity Patterns for Estimating Cognitive States by Debashis Das Chakladar

“…Then, the Singular Value Decomposition (SVD) method is applied to prepare the binarized connectivity feature matrices, eliminating noisy connections between the optimum channels. …”
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Asymptotically stable data-driven koopman operator approximation with inputs using total extended DMD by Louis Lortie, James Richard Forbes

“…The performance of the proposed method is then compared to the well-known extended dynamic mode decomposition (DMD) method and to the newly introduced forward–backward extended DMD method using a simulated Duffing oscillator dataset and experimental soft robot arm dataset.…”
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Application of the Non-Hermitian Singular Spectrum Analysis to the Exponential Retrieval Problem by D. J. Nicolsky, G. S. Tipenko

“…Efficiency of the proposed and existing methods is compared on the set of examples, including the white Gaussian and auto-regressive model noise. …”
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TECHNIQUE AND SOFTWARE FOR PROJECT PROPOSALS EXPERT ASSESSMENT OF AVIATION AND ROCKETRY PRODUCTS by S. G. Parafes, O. G. Feoktistova

“…The essence of an expert assessment as a scientific method is a rational organization of experts analyzing the problem from a quantitative evaluation of judgments and results processing. …”
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Research on Airflow Background Noise Suppression for Aeroacoustic Wind Tunnel Testing by Yuanwen Li, Min Li, Daofang Feng, Debin Yang, Long Wei

“…Therefore, an Airflow Background Noise Suppression method based on the Ensemble Empirical Mode Decomposition (ABNSEEMD) is proposed to eliminate the influence of background noise on aeroacoustic field reconstruction. …”
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Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill by Bo Qin, Luyang Zhang, Heng Yin, Yan Qin

“…To solve the above-mentioned problems, a fault extraction method is put forward to extract multiple feature vectors and then a classification model is developed. …”
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DETERMINING PREFERENCES IN RECOMMENDER SYSTEMS BASED ON COMPARATOR IDENTIFICATION TECHNOLOGY by Vladimir Beskorovainyi, Lyudmyla Kolesnyk, Mariia Alokhina, Viktor Кosenko

“…The following tasks are solved in the article: review and analysis of the current state of the problem of identifying advantages between objects and their ranking in the lists of recommender systems; analysis of filtering methods used in recommendation systems; decomposition of the decision support problem for selection of objects; development of a combined method for ranking objects in the lists of recommender systems, combining the procedures for selecting a subset of Pareto-optimal objects, structural-parametric synthesis of a scalar multi-criteria estimation model, and evaluating the entire set of selected objects. …”
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Contemporary epidemiological landscape of pediatric non-Hodgkin lymphoma: a global burden of disease analysis by Xiaobo Luo, Pin Xie, Min Zhou, Yi Xia, Yu Gao, Hui Li

“…Multiple analytical methods were used, including Joinpoint regression, age-period-cohort analysis, decomposition analysis, frontier analysis, health equity analysis, and Bayesian age-period-cohort (BAPC) model.ResultsIn 2021, the global age-standardized prevalence rate was 3.177/100,000, with a disability adjusted life year (DALY) rate of 13.535/100,000. …”
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Wind Power Forecasting Based on Multi-Graph Neural Networks Considering External Disturbances by Xiaoyin Xu, Zhumei Luo, Menglong Feng

“…Though much progress has been achieved in deep learning approaches, existing methods cannot effectively decompose and model intertwined spatio-temporal dependencies. …”
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Two-Stage Robust Optimization Considering the Uncertainty of Sources and Loads in Virtual Power Plants by Shixun Qi, Duo Li, Liyong Hou, Haili Wang, Li Xin, Yaojie Jin, Yuanji Cai, Mingfei Ban

“…Subsequently, the Benders decomposition algorithm is used to split the model into a master problem and a subproblem. …”
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