Consolidation Efficiency of Noncompact Alloys by Diamond Burnishing by E. V. Vishnepolskiy, D. V. Pavlenko

“…For example, application of diamond smoothers with a sphere radius of 0.5 mm leads due to a small contact surface of a tool and low ductility of the material being processed to destruction of the surface layer, as the tool “fails” into large pores, which causes spalling of the material or uneven effect of the tool on the surface layer. …”
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ANALISIS FAKTOR-FAKTOR PENGELOLAAN MANAJEMEN USAHA PETERNAKAN AYAM RAS PETELUR DI KABUPATEN 50 KOTA PROVINSI SUMATERA BARAT by Yosi Fenita

“… This research was conducted to address micro climate problem of tropical country such as Indonesia on layer production performance.  Thise research is aimed to investigate determinant factors on productivity and technical aspects applied in layer farming of Lima puluh Kota District. …”
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Voronoi-GRU-Based Multi-Robot Collaborative Exploration in Unknown Environments by Yang Lei, Jian Hou, Peixin Ma, Mingze Ma

“…Specifically, we investigate a hierarchical control architecture, comprising an upper decision-making layer and a lower planning and mapping layer. In the upper layer, the next frontier point for each robot is determined using Voronoi partitioning and the Multi-Agent Twin Delayed Deep Deterministic policy gradient (MATD3) deep reinforcement learning algorithm in a centralized training and decentralized execution framework. …”
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Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing by Waqar Shehbaz, Qingjin Peng

“…Subsequently, four ML models, Linear Regression, Decision Trees, Random Forest, and Gradient Boosting, are trained and evaluated. …”
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Modeling and analysis of the coupling effect for large-scale multi-band optical networks by Shilin Jin, Rentao Gu, Xiaoxuan Gao, Yuefeng Ji

“…The current literature investigates the SRS effect in the physical layer. Investigating the impact of the SRS effect in the network layer is challenging because of the high dynamics in routing, frequency, and launch power assignment. …”
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Modelling solute transport and deformation of clay soil under the chemo-hydro-mechanical coupling actions based on fractal theory by Xinjiang Zheng, Xianyuan Chen, Zhibo Chen, Mengyuan Zhu, Xiaoyue Li

“…Additionally, the deformation of the clay layer is larger.…”
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Probabilistic reputation networks by Timothy Atkinson

“…Based on this model, we show that we can set the false positive rate, we can detect more nuanced cheating without extra nodes in the network to help us, and when the underlying distribution favors one element as GO, it will declare a positive and keep the positive set without needing a second interpretive layer. Furthermore, we demonstrate that the original properties of non-random data are maintained.…”
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Bioinspired piezoelectric patch design for sonodynamic therapy: a preclinical mechanistic evaluation of rotator cuff repair and functional regeneration by Rui Shi, Rui Shi, Fei Liu, Qihuang Qin, Pinxue Li, Ziqi Huo, You Zhou, Chunyan Jiang

“…The patch, composed of gelatin/PLGA/nHA/BTO, integrates aligned and random fiber structures. The aligned layer mimics the tendon-side structure of the rotator cuff tendon-bone interface, while the random layer replicates the bone-side structure.ResultsThe bioinspired patch exhibits excellent biocompatibility. …”
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Pendekatan Metode Ensemble Learning untuk Prakiraan Cuaca menggunakan Soft Voting Classifier by Steven Joses, Donata Yulvida, Siti Rochimah

“…Testing in this research employs several single-machine learning methods such as K-Nearest Neighbor (KNN), Logistic Regression, Random Forest, Naive Bayes, and Multi-Layer Perceptron. …”
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Preparation, Characterization and Electrochemical Lithium Insertion Into the New Organic–Inorganic Poly(3,4-Ethylene Dioxythiophene)/V2O5 Hybrid by Chai-Won Kwon, A. Vadivel Murugan, Guy Campet

“…The insertion increases the bidimensionality of the V2O5 host by the layer separation but results in a random layer stacking structure, leading to broadening of the energy state distribution. …”
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Low-cost replication of self-organized sub-micron structures into polymer films by H. Stenberg, P. Stenberg, L. Takkunen, M. Kuittinen, M. Suvanto, T. T. Pakkanen

“…In this paper, the results of exploiting self-organized sub-micron polystyrene (PS) wrinkle patterns possessing random orientation, in preparation of a nickel stamp for hot embossing purposes, are presented. …”
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Reactive Power Optimization Control for Renewable Energy in Distribution Networks Considering Active Power Uncertainties by Jingzhong ZHANG, Fei MENG, Yang SUN, Huixia YU

“…A dual-layer robust optimization control method based on the droop principle of reactive power and voltage is proposed for renewable energy in distribution networks, considering active power uncertainties. …”
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Study on Mechanical Properties and Microstructural Evolution of Composite Copper Foils Following Long-Term Storage by Yujie Yan, Haibo Chen, Hang Li, Jing Hu, Ziye Xue, Jianli Zhang, Qiang Chen, Guangya Hou, Yiping Tang

“…The study reveals that the residual stress within the copper layer provides the driving force for the changes in the microstructure; the intermediate PET layer plays a buffering and absorbing role in the stress-release process. …”
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Quantum Stream Cipher Based on Holevo–Yuen Theory: Part II by Osamu Hirota, Masaki Sohma

“…However, the quantum version requires modeling beyond the Shannon model of a random cipher to utilize the characteristics of the physical layer. …”
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The Role of Country- and Firm-Level Factors in Determining Firms’ Environmental, Social, and Governance (ESG) Performance: A Machine Learning Approach by Eman Abdelfattah, Mahfuja Malik, Syed Muhammad Ishraque Osman

“…We employed ten supervised machine learning models—decision tree, stochastic gradient descent, random forest, adaptive boosting, extra trees, extreme gradient boosting, k-nearest neighbors, multiple linear regression, transformer-based regression, and multi-layer perceptron—and evaluated their effectiveness in ESG prediction. …”
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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…Within this framework, prediction models including Linear Regression (LR), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), Gaussian Process Regression (GPR), and Multi-Layer Perceptron (MLP) were developed, and their performances were assessed using metrics such as accuracy (R²), error rates (RMSE, MSE, MAE), and computational time. …”
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Adaptive Differential Privacy Cox-MLP Model Based on Federated Learning by Jie Niu, Runqi He, Qiyao Zhou, Wenjing Li, Ruxian Jiang, Huimin Li, Dan Chen

“…The second, ROW-DP, comprehensively assesses weight variations and absolute values to propose a random one-layer weighted differential privacy algorithm. …”
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Predicting a failure of postoperative thromboprophylaxis in non-small cell lung cancer: A stacking machine learning approach. by Ligang Hao, Junjie Zhang, Yonghui Di, Zheng Qi, Peng Zhang

“…Based on the multivariable logistic regression analysis, age, platelets, D-dimers, albumin, smoking history, and epidermal growth factor receptor (EGFR) exon 21 mutation were used to develop the nine machine-learning models. LGBM Classifier, RandomForest Classifier, and GNB were chosen for the first layer of the stacking machine learning model. …”
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A transfer learning based deep neural network adaptive controller for the Furuta pendulum subject to uncertain disturbance signals by Firat Can Yilmaz, Recep Onler, Enver Tatlicioglu, Erkan Zergeroglu

“…The study has a hybrid learning structure that combines offline supervised pretraining of the DNN’s inner layers with an online adaptation law that updates the output-layer weights in real time. …”
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Free Vibration Analysis of Composite Plates via Refined Theories Accounting for Uncertainties by G. Giunta, E. Carrera, S. Belouettar

“…Displacements based and mixed two-dimensional theories are adopted. Equivalent single layer and layer wise approaches are considered. A Navier type solution is assumed. …”
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