Study on optimization of Al6061 sphere surface roughness in diamond turning based on central composite design model and grey wolf optimizer algorithms by Le Thanh Binh, Duong Xuan Bien, Ngo Viet Hung, Chu Anh My, Hoang Nghia Duc, Nguyen Kim Hung, Bui Kim Hoa

“…This paper presents optimization results of the Al6061 surface roughness in turning ultra-precision based on the central composite design method (CCD) and the grey wolf optimization algorithm (GWO). …”
Get full text

Modeling of an automated recruitment planning system for educational organizations by S. A. Mishin, E. Yu. Nikulina, E. A. Rogozin, R. A. Solodukha

“…The purpose of the study is to consider the stages of design and development of an automated information system for planning the staffing of educational organizations of the Russian Ministry of Internal Affairs system with a variable composition.Method. The construction of a conceptual and mathematical model of the system being developed is based on a systems approach and methods of mathematical modeling.Result. …”
Get full text

Ultra-Short-Term Photovoltaic Power Interval Forecasting Based on Time-Series Decomposition and Conformal Quantile Regression by Qianjin GUI, Wenfa XU, Xiaoyang LI, Lirong LUO, Haifeng YE, Zhengfeng WANG

“…Then, piecewise linear models, Fourier series decomposition models, and AR-Net models are respectively employed to fit the three subseries, with the Fourier series decomposition model enhancing the fitting capability for daily and seasonal periodicities of PV power. …”
Get full text

Singular Value Decomposition-Based Adaptive Sampling Approximate Message Passing Net for Sparse-View CT Reconstruction by Zhenhua Wu, Jiafei Xu, Lixia Yang

“…However, the challenges of handling a reduced number of projection views persist for both iterative estimation and deep neural reconstruction methods. In this paper, to address these challenges, we present a singular value decomposition-based adaptive sampling approximate message passing network (ASAMP-Net) sparse-view CT imaging method. …”
Get full text

Integrated Optimization of Manufacturing and Reinforcement Parameters in Hybrid Reinforced Aluminum Matrix Composites through Multi-Response Research and Taguchi-Grey Relationship... by Chandrasekhar Rao Bandaru, Seshappa Angadi, Mounika Thati, Subbaratnam Bhavanasi, Prudhvi Raj Konka, Ganni Aditya

Get full text

Dietary and environmental factors affecting the dynamics of the gut bacteria in Tibetan Awang sheep (Ovis aries) across divergent breeding models by Yuhao Wang, Xinping Wang, Yirong Wang, Yirong Wang, Songyu Liao, Zhaxi Pubu, Jiangcuo Silang, Lixu Chai, Siyue Zhao, Siyue Zhao

“…However, knowledge regarding their gut bacterial composition remains limited.MethodsA comprehensive 16S rRNA highthroughput sequencing was performed on fecal samples from 15 Awang sheep under pure grazing, semi-captivity, and full captivity breeding models.ResultsOur results revealed that Firmicutes and Bacteroidetes were the most abundant bacterial phyla, while Christensenellaceae_R-7_group, Romboutsia, Rikenellaceae_RC9_gut_group, Ruminococcus, and Bacteroides were prevalent genera in the gut microbiota of Awang sheep. …”
Get full text

A COMPOSITION PATCH ANTENNA by S. A. Pogarsky, D. V. Mayboroda, S. M. Mykhaliuk

“…Numerical simulations were carried out within a semi-open resonator model, with proper account of all the boundary conditions as specified in the finite-element method. …”
Get full text

Multiscale Fuzzy Temporal Pattern Mining: A Block-Decomposition Algorithm for Partial Periodic Associations in Event Data by Aihua Zhu, Haote Zhang, Xingqian Chen, Dingkun Zhu

Get full text

A multiple pattern complex event detection scheme based on decomposition and merge sharing for massive event streams by Jianhua Wang, Bang Ji, Feng Lin, Shilei Lu, Yubin Lan, Lianglun Cheng

“…The experimental results show that the proposed detection method in this article outperforms some general detection methods in detection model and detection algorithm in multiple pattern complex event detection as a whole.…”
Get full text

Optimizing Fleet Size in Point-to-Point Shared Demand Responsive Transportation Service: A Network Decomposition Approach by Fudong Xie, Ce Wang, Housheng Duan

“…To solve this practical problem, we resort to the Model Predictive Control method (MPC) and propose a network decomposition approach that first converts the transportation network to a nodal tree structure and then develops a Nodal Tree Recourse with Dependent Arc Capacities (NTRDAC) algorithm to obtain the exact value of the expected recourse functions. …”
Get full text

Analytical model for helical particle array assessment for EMI shielding applications by Ayoub Hamidi, Ahmad Cheldavi, Asghar Habibnejad Korayem, Mohammad Baharian

“…Furthermore, to broaden the applicable bandwidth of the composite, a multi-layer structure is proposed. The computational load of the proposed method demonstrates exceptional speed due to its circuit model foundation. …”
Get full text

AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting by Shikang Hou, Song Sun, Tao Yin, Zhibin Zhang, Meng Yan

“…Furthermore, the intricate structure of multi-scale time series complicates the effective extraction of features at different temporal resolutions.MethodTo address these limitations, we propose AMDCnet, a multi-scale-based time series decomposition and collaboration network designed to enhance the model's capacity for decomposing and integrating data across varying time scales. …”
Get full text

Resource-Efficient Acoustic Full-Waveform Inversion via Dual-Branch Physics-Informed RNN with Scale Decomposition by Cai Lu, Jijun Liu, Liyuan Qu, Jianbo Gao, Hanpeng Cai, Jiandong Liang

“…The proposed dual-branch PIRNN framework was validated through full-waveform inversions on synthetic horizontal-layer models and the Marmousi model across various scales. …”
Get full text

Optimizing economics of machining for LM25Al/VC composite material using analytical modeling, deep neural network and GRA coupled with RSM by Mesay Alemu Tolcha, Hirpa Gelgele Lemu, Yosef Wakjira Adugna

“…In this case, the DNN technique delivered superior results among the methods considered. Additionally, new analytical models and DNN programming were developed in this work to predict machining costs, power consumption, material removal rate, and surface finish quality. …”
Get full text

Prebiotic-like Effects of Proanthocyanidin-Rich Aronia Extract Supplementation on Gut Microbiota Composition and Function in the Twin-M-SHIME^® Model by Blanca Elizabeth Ruiz-Álvarez, Valentina Cattero, Yves Desjardins

Get full text

Enhancing artificial neural network learning efficiency through Singular value decomposition for solving partial differential equations by Alfi Bella Kurniati, Maharani A. Bakar, Nur Fadhilah Ibrahim, Hanani Farhah Harun

“…In response, we introduce the matrix decomposition method into the ANN learning process, rooted in Singular Value Decomposition (SVD). …”
Get full text

Deep Reinforcement Learning-Based Distribution Network Planning Method Considering Renewable Energy by Liang Ma, Chenyi Si, Ke Wang, Jinshan Luo, Shigong Jiang, Yi Song

“…Based on the proximal policy optimization algorithm, an actor-critic-based autonomous generation and adaptive adjustment model for DNP is constructed. Finally, the representative test case is selected to verify the effectiveness of the proposed method, which indicates that the proposed method can improve the efficiency of DNP and promote the digital transformation of DNP.…”
Get full text

SFPFMformer: Short-Term Power Load Forecasting for Proxy Electricity Purchase Based on Feature Optimization and Multiscale Decomposition by Chengfei Qi, Yanli Feng, Junling Wan, Xinying Mao, Peisen Yuan

Get full text

Shisha tobacco component composition by N. N. Matyukhina, A. G. Mirgorodskaya, M. V. Shkidyuk, O. K. Bedritskaya

“…The selection of the component composition of the hookah mixture, taking into account the cost of the final product and its toxic load, is a modern technological method for modeling the ingredient composition, which is based on tobacco raw materials". …”
Get full text

A fault calculation method for large-scale photovoltaic integrated transmission systems by Hongyue Ma, Tao Zheng, Tao Zhang, Zhiguo Hao

“…Subsequently, the positive sequence equivalent principle for the large-scale PV transmission system is customized based on the symmetrical component method and is integrated with the composite sequence network under various fault conditions. …”
Get full text