Sulla storia degli studi di frattura in Italia by Roberto L. Colombo, Donato Firrao

“…Later, nineteenth century italian scientists distinguished themselves in attempting to establish material laws and multiple stresses rupture criteria. A review of the works of past centuries italian scientists is presented, along with a critical comparison with the work of other past european scientists.…”
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Sulla storia degli studi di frattura in Italia by Roberto L. Colombo, Donato Firrao

“…Later, nineteenth century italian scientists distinguished themselves in attempting to establish material laws and multiple stresses rupture criteria. A review of the works of past centuries italian scientists is presented, along with a critical comparison with the work of other past european scientists.…”
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AKRASIJA IR SUBJEKTAS EGONOMIKOJE by Zenonas Norkus

“…The interpersonal problem of distributive justice has its pendant in the problem of choice of rational life-plan, and the problem of overcoming akrasia is paralleled by that of preventing free riding in the collective action theory. …”
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AKRASIJA IR SUBJEKTAS EGONOMIKOJE by Zenonas Norkus

“…The interpersonal problem of distributive justice has its pendant in the problem of choice of rational life-plan, and the problem of overcoming akrasia is paralleled by that of preventing free riding in the collective action theory. …”
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Iterated Dynamic Condensation Technique and Its Applications in Modal Testing by Zhikun Hou, Shiyu Chen

“…Numerical results are presented to illustrate the feasibility and efficiency of the iterated dynamic condensation. A comparison with the experimental results of a multiple disk system is also provided.…”
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Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…GA is a robust optimization technique that can effectively handle complex problems with multiple constraints. The study population comprises companies listed on the Tehran Stock Exchange for the year 2021. …”
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Dual-target WOA spectrum sharing algorithm based on Stackelberg game by Li ZHANG, Tian LIAO, Yejun HE

“…In order to solve the complex spectrum allocation problem,a dual-target whale optimization algorithm (WOA) with strong parallel computing capabilities was introduced,and a Stackelberg game model was proposed that could effectively reflect the actual spectrum requirements,and a dual-target WOA optimized distributed antenna system (DAS) spectrum sharing scheduling algorithm was designed.Simulation results show that performance comparison is performed from multiple indicators such as optimal pricing and user benefits.The proposed algorithm has a good spectrum sharing allocation effect,can achieve fair and effective spectrum allocation,and provides an important reference for the future communication network spectrum sharing mode.…”
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Hierarchical Multi-Communities Energy Sharing Management with Electric Vehicle Integration by Ruengwit Khwanrit, Saher Javaid, Yuto Lim, Chalie Charoenlarpnopparut, Yasuo Tan

“…The proposed model is validated through comparison with typical human charging behavior, as well as single- and multiple-community two-level game models. …”
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Research on link prediction model based on hierarchical attention mechanism by Xiaojuan ZHAO, Yan JIA, Aiping LI, Kai CHEN

“…In order to solve the problem that the existing graph attention mechanism tends to cause attention distribution to certain relations with high frequency when performing link prediction related tasks, a new link prediction model based on hierarchical attention mechanism was proposed.In the link prediction task, a hierarchical attention mechanism was designed to give different attention to the relationships of different relationship types connected to a given entity in the knowledge graph according to the relationship in the prediction task.While the characteristics of multi-hop neighbor entities were pay attention to, the relationship characteristics was pay more attention to find the relationship type that matches the target relationship.Through comparison experiments with the mainstream models on multiple benchmark data sets, the results show that the performance of the model is better than the mainstream models and has good robustness.…”
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A Novel Method for Economic Dispatch with Across Neighborhood Search: A Case Study in a Provincial Power Grid, China by Guojiang Xiong, Jing Zhang, Xufeng Yuan, Dongyuan Shi, Yu He, Yao Yao, Gonggui Chen

“…Furthermore, ANS is applied to a practical provincial power grid of China. All the comparison results consistently indicate that ANS is highly competitive and can be used as a promising alternative for ED problems.…”
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Research on multi-UAV energy consumption optimization algorithm for cellular-connected network by Jingming XIA, Yufeng LIU, Ling TAN

“…In complex time-varying environment, the ground base station (GBS) may not assist the UAV.Therefore, a mobile edge computing (MEC) cellular-connected network based on digital twin (DT) technology was studied.Given the efficiency of multi-UAV, multiple high-altitude balloon (HAB) equipped with MEC servers were introduced.On this basis, an energy minimization problem for all UAV was proposed, and a multi-UAV trajectory optimization and resource allocation scheme was presented to solve it.The double deep Q-network (DDQN) was applied to handle the association between multi-UAV and multi-HAB, and the multi-UAV trajectory and computing resource allocation were jointly optimized by the successive convex approximation (SCA) and the block coordinate descent (BCD).Simulation experiments verify the feasibility and effectiveness of the proposed algorithm.The system energy consumption is reduced by 30%, better than the comparison algorithms.…”
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Preprocessing Approach for Power Transformer Maintenance Data Mining Based on k-Nearest Neighbor Completion and Principal Component Analysis by Moïse Manyol, Samuel Eke, Alphonse J. M. Massoma, Alain Biboum, Ruben Mouangue

“…A rigorous comparison is made between our approach and two others. …”
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USING A DIDACTIC TOOL WITH IT-SUPPORT FOR TEACHING GEOGRAPHY IN A SPECIAL SCHOOL IN SLOVAKIA by Viktor Hladush, Slávka Bendíková, Barbora Kovačova, Marcela Čarnická

“…To validate these results, considering the limited research sample due to the unique nature of special schools' educational process, we employed nonparametric tests such as the Kruskal-Wallis and Dunn's tests for multiple comparisons. These tests were utilized to ensure the reliability and significance of the findings. …”
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Throughout Maximization for IRS-Assisted WPCN With Hybrid TDMA-NOMA Scheme by Yizheng Ma, Ruoyi Wu, Yi Zhang, Yupeng Shang, Linzhen Zhu

“…This work leverages an Intelligent Reflecting Surface (IRS) to improve throughput performance of a wireless powered communication network (WPCN). A novel hybrid multiple access strategy is conceived, where the IRS set the time-division multiple access (TDMA) to allocate its phase shifts, each of which performs the non-orthogonal multiple access for multiple Internet of Things (IoT) devices. …”
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Local Stress Field Correction Method Based on a Genetic Algorithm and a BP Neural Network for In Situ Stress Field Inversion by Tianzhi Yao, Zuguo Mo, Li Qian, Jianhua He, Jianhai Zhang

“…The inverted in situ stress results produced by this method show that the distribution of in situ stress is greatly influenced by tectonic movements in the Yebatan area, there is no obvious linear relationship with depth, and the stress release phenomenon occurs at the faults. By comparison with the multiple regression method, it is found that the method still has high inversion accuracy under complex geological conditions, and the average relative error of LSFC inversion results is 17.05%, which is much lower than the value of 43.58% via the multiple regression method. …”
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Deep weighted survival neural networks to survival risk prediction by Hui Yu, Qingyong Wang, Xiaobo Zhou, Lichuan Gu, Zihao Zhao

“…However, it still poses a challenge in building an efficient method to improve the accuracy of cancer-specific survival risk prediction, such as data noise problem. In order to solve the above problem, we propose a diversity reweighted deep survival neural network method with grid optimization (DRGONet) to improve the accuracy of cancer-specific survival risk prediction. …”
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Scaled Diagonal Gradient-Type Method with Extra Update for Large-Scale Unconstrained Optimization by Mahboubeh Farid, Wah June Leong, Najmeh Malekmohammadi, Mustafa Mamat

“…We present a new gradient method that uses scaling and extra updating within the diagonal updating for solving unconstrained optimization problem. The new method is in the frame of Barzilai and Borwein (BB) method, except that the Hessian matrix is approximated by a diagonal matrix rather than the multiple of identity matrix in the BB method. …”
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Entropy-Based Clutter Rejection for Intrawall Diagnostics by Raffaele Solimene, Antonietta D'Alterio

“…The intrawall diagnostic problem of detecting localized inhomogeneities possibly present within the wall is addressed. …”
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Nonlinear Vibrations of Multiwalled Carbon Nanotubes under Various Boundary Conditions by Hossein Aminikhah, Milad Hemmatnezhad

“…The present work deals with applying the homotopy perturbation method to the problem of the nonlinear oscillations of multiwalled carbon nanotubes embedded in an elastic medium under various boundary conditions. …”
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RELIABILITY ANALYSIS OF FAILURE RELATED MECHANICAL PARTS BASED ON VINE COPULA MODEL by HU QiGuo, ZHOU Song

“…Based on the Vine Copula function,the reliability problem of mechanical parts related to complex and multi-failure is transformed into the analysis of multiple two-dimensional Copula functions,optimal two-dimensional Copula function is identified by using maximum likelihood estimation and AIC information criterion. …”
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