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Journal articles on the topic 'Variable depth search'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Cornillier, Fabien, José Eduardo Pécora, and Vincent Charles. "A variable depth search branching." Operations Research Letters 40, no. 4 (2012): 265–71. http://dx.doi.org/10.1016/j.orl.2012.03.003.

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2

Burke, Edmund K., Timothy Curtois, Rong Qu, and Greet Vanden Berghe. "A Time Predefined Variable Depth Search for Nurse Rostering." INFORMS Journal on Computing 25, no. 3 (2013): 411–19. http://dx.doi.org/10.1287/ijoc.1120.0510.

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3

Yagiura, M., T. Yamaguchi, and T. Ibaraki. "A variable depth search algorithm with branching search for the generalized assignment problem." Optimization Methods and Software 10, no. 2 (1998): 419–41. http://dx.doi.org/10.1080/10556789808805722.

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4

Bouhmala, N. "A Variable Depth Search Algorithm for Binary Constraint Satisfaction Problems." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/637809.

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The constraint satisfaction problem (CSP) is a popular used paradigm to model a wide spectrum of optimization problems in artificial intelligence. This paper presents a fast metaheuristic for solving binary constraint satisfaction problems. The method can be classified as a variable depth search metaheuristic combining a greedy local search using a self-adaptive weighting strategy on the constraint weights. Several metaheuristics have been developed in the past using various penalty weight mechanisms on the constraints. What distinguishes the proposed metaheuristic from those developed in the

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5

Beckert, Bernhard. "Depth-first proof search without backtracking for free-variable clausal tableaux." Journal of Symbolic Computation 36, no. 1-2 (2003): 117–38. http://dx.doi.org/10.1016/s0747-7171(03)00026-9.

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6

Sudholt, Dirk. "Hybridizing Evolutionary Algorithms with Variable-Depth Search to Overcome Local Optima." Algorithmica 59, no. 3 (2010): 343–68. http://dx.doi.org/10.1007/s00453-009-9384-2.

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Otsuki, Tomoshi, and Kazuyuki Aihara. "New variable depth local search for multiple depot vehicle scheduling problems." Journal of Heuristics 22, no. 4 (2014): 567–85. http://dx.doi.org/10.1007/s10732-014-9264-z.

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8

Hess, Michael. "Mixed-Level Knowledge Representations and Variable-Depth Inference in Natural Language Processing." International Journal on Artificial Intelligence Tools 06, no. 04 (1997): 481–509. http://dx.doi.org/10.1142/s0218213097000256.

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A system is described that uses a mixed-level knowledge representation based on standard Horn Clause Logic to represent (part of) the meaning of natural language documents. A variable-depth search strategy is outlined that distinguishes between the different levels of abstraction in the knowledge representation to locate specific passages in the documents. A detailed description of the linguistic aspects of the system is given. Mixed-level representations as well as variable-depth search strategies are applicable in fields outside that of NLP.

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LV, Zhipeng, Taoqing ZHOU, Lingmin WANG, and Xinyun WU. "Variable-depth neighborhood search algorithm for the minimum-connected dominating-set problem." SCIENTIA SINICA Informationis 46, no. 4 (2016): 445–60. http://dx.doi.org/10.1360/n112015-00128.

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Goldbarg, Elizabeth Ferreira Gouvêa, and Marco Cesar Goldbarg. "An experimental study of variable depth search algorithms for the quadratic assignment problem." Pesquisa Operacional 32, no. 1 (2012): 165–96. http://dx.doi.org/10.1590/s0101-74382012005000007.

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Wu, Xinyun, Caiquan Xiong, Na Deng, and Dahai Xia. "A variable depth neighborhood search algorithm for the Min–Max Arc Crossing Problem." Computers & Operations Research 134 (October 2021): 105403. http://dx.doi.org/10.1016/j.cor.2021.105403.

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Lin, Bertrand M. T., Y. S. Huang, and H. K. Yu. "On the variable-depth-search heuristic for the linear-cost generalized assignment problem." International Journal of Computer Mathematics 77, no. 4 (2001): 535–44. http://dx.doi.org/10.1080/00207160108805083.

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Qiu, Andong, and Zhouwang Yang. "Variable-depth large neighborhood search algorithm for cable routing in distributed photovoltaic systems." Automation in Construction 168 (December 2024): 105839. http://dx.doi.org/10.1016/j.autcon.2024.105839.

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de Kock, E. A., E. H. L. Aarts, G. Essink, R. E. J. Jansen, and J. H. M. Korst. "A variable-depth search algorithm for the recursive bipartitioning of signal flow graphs." Operations-Research-Spektrum 17, no. 2-3 (1995): 159–72. http://dx.doi.org/10.1007/bf01719261.

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15

van der Bruggen, L. J. J., J. K. Lenstra, and P. C. Schuur. "Variable-Depth Search for the Single-Vehicle Pickup and Delivery Problem with Time Windows." Transportation Science 27, no. 3 (1993): 298–311. http://dx.doi.org/10.1287/trsc.27.3.298.

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Alkasem, Haifa Hamad, and Mohamed El Bachir Menai. "A Stochastic Local Search Algorithm for the Partial Max-SAT Problem Based on Adaptive Tuning and Variable Depth Neighborhood Search." IEEE Access 9 (2021): 49806–43. http://dx.doi.org/10.1109/access.2021.3068824.

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17

Hou, Dengkai, Houming Fan, Xiaoxue Ren, Panjun Tian, and Yingchun Lv. "Time-Dependent Multi-Depot Heterogeneous Vehicle Routing Problem Considering Temporal–Spatial Distance." Sustainability 13, no. 9 (2021): 4674. http://dx.doi.org/10.3390/su13094674.

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Aiming at the multi-depot heterogeneous vehicle routing problem under the time-dependent road network and soft time window, considering vehicle fixed cost, time window penalty cost and vehicle transportation cost, an optimization model of time-dependent multi-depot heterogeneous vehicle routing problem is established with the objective of minimizing distribution cost. According to the characteristics of the problem, a hybrid genetic algorithm with variable neighborhood search considering the temporal–spatial distance is designed. Customers are clustered according to the temporal–spatial distan

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18

Nakao, Y., and T. Mori. "Conjunction Search for Stereo and Colour is Serial." Perception 26, no. 1_suppl (1997): 283. http://dx.doi.org/10.1068/v970137.

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We examined whether visual search for a conjunction target defined by stereoscopic disparity and colour is parallel, as indicated by Nakayama and Silverman [1986 Nature (London)320 264 – 265]. The stimuli consisted of arrays of variable size, containing either 15, 25, or 35 elements. The elements were squares and bordered with a frame to ensure stereoscopic fusion. They were clearly distinguishable either in terms of stereoscopic depth or colour. The target was an element with a combination of stereoscopic depth and colour that was unique in each display. Before search, subjects were either in

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Liu, Xiaobo, Kun Li, and Huizhi Ren. "A Hybrid Algorithm for the Permutation Flowshop Scheduling Problem without Intermediate Buffers." Discrete Dynamics in Nature and Society 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/548363.

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This paper deals with the permutation flowshop scheduling problem without intermediate buffers and presents a hybrid algorithm based on the scatter search and the variable neighborhood search. In the hybrid algorithm, the solutions with good quality and diversity are maintained by a reference set of scatter search, and the search at each generation starts from a solution generated from the reference set so as to improve the search diversity while guaranteeing the quality of the initial solution. In addition, a variable neighbourhood based on the notion of job-block is developed, and the neighb

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Lestari, Dewi Amelia, and Wahyu Wijaya Widiyanto. "Expert Systems: Web-Based Motorcycle Detection Solutions." International Journal of Computer and Information System (IJCIS) 3, no. 4 (2022): 148–52. http://dx.doi.org/10.29040/ijcis.v3i4.91.

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Motorcycles are one of the main means of transportation for some people in carrying out their daily activities. Efficient, cost-effective time to the destination, as well as maintenance tools that are quite easy to obtain, make this motorcycle a priority among the community, and this is evidenced by the number of motorcycle users compared to other means of transportation on the road. From the description above, the author makes a system that can make it easier for users to find out problems that occur in the motor, which cause damage so that it can interfere with the activities to be carried o

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21

Li, Canis, and Avi Shporer. "A Search for Temporal Atmospheric Variability of Kepler Hot Jupiters." Astronomical Journal 167, no. 5 (2024): 245. http://dx.doi.org/10.3847/1538-3881/ad3807.

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Abstract We perform a systematic search for atmospheric variability in short-period gas-giant planets (hot Jupiters) observed by the Kepler mission, by looking for temporal variability of their secondary eclipse depths. This is motivated by a recent detection of a decrease in the dayside brightness of KELT-1 b between TESS Sectors 17 and 57, separated by about 3 yr. We fit the Kepler light curves of 53 hot Jupiters and measure their secondary eclipse depths during individual Kepler quarters and four-quarter windows. We detect the secondary eclipses in individual quarters or four-quarter window

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Vladimirova, E. B., E. I. Shmelev, I. E. Stepanyan, et al. "Interstitial lung disease: search for the cause (a clinical case)." Russian Pulmonology 28, no. 4 (2018): 490–95. http://dx.doi.org/10.18093/0869-0189-2017-28-4-490-495.

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Interstitial changes in the lungs could be caused by vast majority of diseases including tuberculosis, sarcoidosis, hypersensitive pneumonitis, metastatic injury of the lungs, etc. Differential diagnosis of pulmonary dissemination remains an urgent and challenging clinical task. This article is a review of published literature and presentation of a clinical case of a patient with interstitial lung disease. The case demonstrates diagnostic difficulties in identification the cause of interstitial lung injuries. Interstitial lung injury was incidentally found in this patient and initially was con

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23

Wang, Yingdong, Chen Xing, and Leihua Yao. "Reliability Analysis of High-Pressure Tunnel System Under Multiple Failure Modes Based on Improved Sparrow Search Algorithm–Kriging–Monte Carlo Simulation Method." Applied Sciences 14, no. 22 (2024): 10527. http://dx.doi.org/10.3390/app142210527.

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It is often difficult for a structural safety design method based on deterministic analysis to fully and reasonably reflect the randomness of mechanical parameters, while the traditional reliability analysis method has a large calculation cost and low accuracy. In this paper, based on the seepage–stress coupling numerical model, the random variables affecting the reliability of the collaborative bearing of surrounding rock and lining structures are successfully identified. Then, the improved sparrow search algorithm (ISSA) is used to optimize the hyper-parameters of the Kriging surrogate model

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24

Gong, Yunhong, Yanan Sun, Dezhong Peng, and Xiangru Chen. "Bridge the gap between fixed-length and variable-length evolutionary neural architecture search algorithms." Electronic Research Archive 32, no. 1 (2023): 263–92. http://dx.doi.org/10.3934/era.2024013.

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<abstract><p>Evolutionary neural architecture search (ENAS) aims to automate the architecture design of deep neural networks (DNNs). In recent years, various ENAS algorithms have been proposed, and their effectiveness has been demonstrated. In practice, most ENAS methods based on genetic algorithms (GAs) use fixed-length encoding strategies because the generated chromosomes can be directly processed by the standard genetic operators (especially the crossover operator). However, the performance of existing ENAS methods with fixed-length encoding strategies can also be improved becau

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25

Yu, Ching-Ying. "Experiential Learning for Applying Green Patents in Sustainable Education." Sustainability 16, no. 15 (2024): 6591. http://dx.doi.org/10.3390/su16156591.

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The primary objective of this study is to enrich students’ learning experiences by integrating “Experiential Learning Methods” with “Green Patent Strategies”. This study categorizes experiential learning into four distinct modules, each systematically analyzed with the inclusion of four variables. These modules comprise Module 1: Reflective Observation, focusing on the “Corporate Sustainability Policy” variable; Module 2: Abstract Conceptualization, centering on the “Business Model Analysis” variable; Module 3: Active Experimentation, emphasizing the “Patent Strategy Layout” variable; and Modu

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26

Ye, Qiu Sun. "AI-VCR Searching without Information." Advanced Materials Research 143-144 (October 2010): 586–91. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.586.

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This paper promotes an AI-VCR technology of searching without information. VCR is an extension of FCR(Fixed Carrying Rules) which is also computation rules of FCN(Fixed Carrying Numbers). The FCN are some special examples of VCN(Variable Carrying Numbers). DFS(Depthfirst Search) is a blind searching without information. In AI-VCR technology, AI(Artificial Intelligence) is used in dynamic designing computation rules of VCN. Both FCR and VCR in searching without information are variables of nodes’ depth function. Finally, it gives out some examples of problem-solving method, namely problem-solvi

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Jiang, Hongzheng, and Yuzhu Zhu. "Research on Maritime Emergency Material Dispatch Based on Beetle Antennae Search Algorithm." E3S Web of Conferences 257 (2021): 03028. http://dx.doi.org/10.1051/e3sconf/202125703028.

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The research on dispatching of emergency supplies for maritime emergencies is the key to improve the use efficiency of marine emergency resources and the success rate of search and rescue. In view of the characteristics of emergency accidents at sea, in this paper, a material scheduling model with the shortest time is built for multi-accident points, multi-ship dispatching and multi-material supply points, and the optimal material scheduling scheme is obtained. The step-size updating coefficient eta is introduced into the variable step-size optimization search algorithm ( BAS ), so that the st

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28

Dugda, Mulugeta, and Farzad Moazzami. "Generalized Pattern Search Algorithm for Crustal Modeling." Computation 8, no. 4 (2020): 105. http://dx.doi.org/10.3390/computation8040105.

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In computational seismology, receiver functions represent the impulse response for the earth structure beneath a seismic station and, in general, these are functionals that show several seismic phases in the time-domain related to discontinuities within the crust and the upper mantle. This paper introduces a new technique called generalized pattern search (GPS) for inverting receiver functions to obtain the depth of the crust–mantle discontinuity, i.e., the crustal thickness H, and the ratio of crustal P-wave velocity Vp to S-wave velocity Vs. In particular, the GPS technique, which is a direc

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Yi, Donghui, Fengbin Zhou, Jianyu Hua, Linsen Chen, and Wen Qiao. "Diffractive Achromat with Freeform Slope for Broadband Imaging over a Long Focal Depth." Micromachines 14, no. 7 (2023): 1401. http://dx.doi.org/10.3390/mi14071401.

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We propose a method for designing a long-focal-depth diffractive achromat (LFDA). By applying rotational symmetric parameterization, an LFDA with a diameter of 10.89 mm is designed over three wavelengths at six focal planes. The smoothly changed slope designed by the binary variable slope search (BVSS) algorithm greatly reduces the discontinuity in depth, thus it is a fabrication-friendly process for grayscale laser direct writing lithography, involving less fabrication error and cost. The deviation between the designed and fabricated profiles amounts to 9.68%. The LFDA operates at multiple wa

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Purwandari, Titi, Sukono Sukono, Yuyun Hidayat, and Wan Muhamad Amir W. Ahmad. "Determining the urban economic resilience planning through ratio of original local government revenue." Decision Science Letters 11, no. 4 (2022): 509–20. http://dx.doi.org/10.5267/j.dsl.2022.5.005.

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Today, the economic resilience in Indonesia measures using the index approach, but it does not consider the effect of the disturbance and causes meaningless. The index is essentially an average, and the average is not a model that captures the relationship between variables. This research differs significantly from earlier studies that used the index to measure economic resilience. The crucial step in assessing the economic resilience of a city is to determine the economic resilience decision variable itself. If a variable significantly correlates with the disturbance factors in each relations

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Wenny Desty Febrian, Anggia Rettrisunz Pim Panjaitan, Kamsariaty, Josua Panatap Soehaditama, and Supardi. "Human Capital Strategic: Organization Commitment, Training Need Analysis, Development People, Individual Development Plan, and Performance Appraisal." International Journal of Integrative Sciences 2, no. 4 (2023): 455–68. http://dx.doi.org/10.55927/ijis.v2i4.3636.

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The purpose of this manuscript is to search the literature to support the variables of this manuscript and to provide results for consideration in future studies as a research gap or alongside other research items this study is to see the effectiveness of the human capital management department, where in general human capital will have several approaches to maintaining its assets, namely the human resources working in the company. The novelty of this mini literature review is the existence of a research model framework that has never existed or was formed before. In this article, a literature

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Ercoli, Maurizio, Roberto Bizzarri, Angela Baldanza, Angela Bertinelli, Diego Mercantili, and Cristina Pauselli. "GPR Detection of Fossil Structures in Conductive Media Supported by FDTD Modelling and Attributes Analysis: An Example from Early Pleistocene Marine Clay at Bargiano Site (Central Italy)." Geosciences 11, no. 9 (2021): 386. http://dx.doi.org/10.3390/geosciences11090386.

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The application of Ground Penetrating Radar (GPR) prospecting to the search of fossil structures, particularly using advanced techniques like Finite-difference time-domain (FDTD) modelling and GPR attribute analysis, is currently poorly exploited in paleontology. Here, we promote the use of such a GPR workflow at Bargiano (Umbria, central Italy), a unique paleontological site known for the discovery of cetacean skeletons, dolomitized sperm-whale cololites (Ambergrisichnu salleronae), and layered fossil assemblages. The study site is characterized by a very uneven topography shaping highly cond

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Ginting, Andi Lopa, Andi Faisal Anwar, and Jony Puspa Kusuma. "MENELUSUR ANOMALI PERTUMBUHAN EKONOMI, INVESTASI, PDRB SEKTOR INDUSTRI DAN UPAH MINIMUM TERHADAP KETIMPANGAN." SCIENTIFIC JOURNAL OF REFLECTION : Economic, Accounting, Management and Business 4, no. 4 (2021): 784–94. http://dx.doi.org/10.37481/sjr.v4i4.383.

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Economic growth from year to year continues to move impressively in Makassar City. However, at the same time, economic growth and income distribution have been unbalanced, which has exacerbated the number of economic inequalities that have occurred. The entry of investment, the contribution of the industrial sector and the minimum wage, did not make any significant changes to reduce economic inequality. The purpose of this research is to factually attempt to understand further the effect of investment, economic growth, industrial sector GDP, and minimum wages on the Gini ratio in Makassar City

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34

Umer, U., M. K. Mohammed, M. H. Abidi, H. Alkhalefah, and H. A. Kishawy. "Machinability analysis and multi-response optimization using NGSA-II algorithm for particle reinforced aluminum based metal matrix composites." Advances in Production Engineering & Management 17, no. 2 (2022): 205–18. http://dx.doi.org/10.14743/apem2022.2.431.

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In this study the effects of reinforcement particle size and cutting parameters on machining performance variables like cutting force, maximum tool-chip interface temperature and surface roughness of the machined surface have been investigated while machining Aluminum based metal matrix composites (MMCs). MMC bars with silicon carbide reinforcement having 10 % volume fraction and particle sizes of 5 μm, 10 μm and 15 μm are machined with polycrystalline diamond (PCD) inserts. Experiments are performed using central composite design (CCD) having four parameters with three levels. Response surfac

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35

Luangpaiboon, Phatchanok, Chandej Charoenwiriyakul, and Siravit Koolrojanaput. "Hybrid Computing and Decision Technologies in Improving Accuracy of Structural Equation Model for Sustainable Environmentally Friendly Product Management." International Journal of Environmental Science and Development 11, no. 9 (2020): 432–37. http://dx.doi.org/10.18178/ijesd.2020.11.9.1286.

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Main purpose of this research is to study influential variables of green innovation strategy, corporate social responsibility, government policy, transformation leadership including human resource development on the success level in managing sustainable environmentally friendly products of industrial plants. The sequential procedures on statistical techniques are proposed with the survey data on both quantitative and qualitative research elements. Confirmatory factor and path analysis including the structural equation modeling are mixed to identify the causal relationship between variables and

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36

Zuo, Hongyan, Yun Zhu, Dongli Tan, Shuwan Cui, Jiqiu Tan, and Dingqing Zhong. "Investigation on Energy-Effectiveness Enhancement of Medium-Frequency Induction Furnace Based on an Adaptive Chaos Immune Optimization Algorithm with Mutative Scale." Processes 10, no. 3 (2022): 491. http://dx.doi.org/10.3390/pr10030491.

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Based on the chaos algorithm and immune algorithm theory, an adaptive chaotic immune optimization algorithm (ACIOA) with a mutative scale was proposed and subsequently validated by the experiment result in this paper, and then the adaptive chaotic immune optimization algorithm with mutative scale was applied to investigate the performance characteristics of the medium-frequency induction furnace. The obtained results include the effects on the performance characteristics of a medium-frequency induction furnace of the diameter of the heated cylindrical material, the thickness of the crucible wa

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37

Zhang, Haiyan, Li Hou, Shuang Liang, Yang Wu, and Zhongmin Chen. "Modular configuration design of a special machine tool for variable hyperbolic circular-arc-tooth-trace cylindrical gears." Mechanical Sciences 13, no. 1 (2022): 55–65. http://dx.doi.org/10.5194/ms-13-55-2022.

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Abstract. In this paper, the machining principle of variable hyperbolic circular-arc-tooth-trace (VH-CATT) cylindrical gears is analysed, and a modular configuration design of this special machine tool is carried out. Based on the importance of parameter and knowledge dependence of rough set theory, the degree of influence of the index hidden in the data on the decision-making results is mined, and an algorithm for calculating the objective weight of the index is given. The comprehensive weight of the index is then obtained, combining the analytic hierarchy process. After obtaining the results

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Zhang, Xing, Zhao Zhao, Zhuocheng Guo, and Wanhua Zhao. "Research on machining parameter optimization in finishing milling with multiple constraints." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 236, no. 6-7 (2021): 968–80. http://dx.doi.org/10.1177/09544054211057989.

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High efficiency and high precision milling, as the eternal goal of CNC machining, needs to balance many constraints for selecting the most reasonable processing parameters. This paper presents an efficient machining parameter optimization method for finishing milling operation with multiple constraints. Firstly, under the multiple constraints of parameter feasible region, milling force, milling stability, roughness, and machining contour accuracy, a multi-variable parameter optimization model with machining efficiency as the objective is established. A four level cycle optimization strategy ha

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Jildenstål, Pether, Amanda Bäckström, Klara Hedman, and Margareta Warrén-Stomberg. "Spectral edge frequency during general anaesthesia: A narrative literature review." Journal of International Medical Research 50, no. 8 (2022): 030006052211186. http://dx.doi.org/10.1177/03000605221118682.

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Previous studies have attempted to determine the depth of anaesthesia with different anaesthetic agents using electroencephalogram (EEG) measurements with variable success. Measuring depth of anaesthesia is confounded by the complexity of the EEG and the fact that different agents create different pattens. A narrative review was undertaken to examine the available research evidence on the effect and reliability of spectral edge frequency (SEF) for assessing the depth of anaesthesia in adult patients under general anaesthesia. A systematic search of the PubMed®, Scopus®, CINAHL and Cochrane dat

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Kulisz, Monika, and Ireneusz Zagórski. "Application of neural network in determination of parameters for milling AZ91HP magnesium alloy with surface roughness constraint." MATEC Web of Conferences 252 (2019): 03017. http://dx.doi.org/10.1051/matecconf/201925203017.

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This paper presents the model for milling AZ91HP magnesium alloy with TiAlN coated carbide end mill. The model was developed on the basis of experimental data from the neural network training data set. The milling process was conducted at constant parameters of tool geometry, workpiece strength properties, technological machine properties, radial and axial depth of cut. The range of changeable machining parameters specified in this study included cutting speed, feed per tooth, and the output variable: the arithmetical mean roughness parameter (Ra). The process was modelled by means of MatLab s

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WALLACE, RICHARD J. "DETERMINING THE PRINCIPLES UNDERLYING PERFORMANCE VARIATION IN CSP HEURISTICS." International Journal on Artificial Intelligence Tools 17, no. 05 (2008): 857–80. http://dx.doi.org/10.1142/s0218213008004199.

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This paper develops the idea that variable ordering heuristics for CSPs can be characterised in terms of a small number of distinguishable actions or strategies, and that while specific heuristics may be classified differently depending on the problem type, the basic actions that determine their classification are the same. These strategies can be described as building up contention and propagating effects to future, uninstantiated variables. The propagation-of-effects type of action is related to the "simplification hypothesis" of Hooker and Vinay, but since this is only one of two independen

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Belcore, E., and V. Di Pietra. "LAYING THE FOUNDATION FOR AN ARTIFICIAL NEURAL NETWORK FOR PHOTOGRAMMETRIC RIVERINE BATHYMETRY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 5, 2022): 51–58. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-51-2022.

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Abstract. This work aims to test the effectiveness of artificial intelligence for correcting water refraction in shallow inland water using very high-resolution images collected by Unmanned Aerial Systems (UAS) and processed through a total FOSS workflow. The tests focus on using synthetic information extracted from the visible component of the electromagnetic spectrum. An artificial neural network is created using data of three morphologically similar alpine rivers. The RGB information, the SfM depth and seven radiometric indices are calculated and stacked in an 11-bands raster (input dataset

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S. Barr, Richard, Lawrence M. Seiford, and Thomas F. Siems. "Forecasting Bank Failure: A Non-Parametric Frontier Estimation Approach." Recherches économiques de Louvain 60, no. 4 (1994): 417–29. http://dx.doi.org/10.1017/s0770451800004590.

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SummaryThe dramatic rise in bank failures over the last decade has led to a search for leading indicators so that costly bailouts might be avoided. While the quality of a bank’s management is generally acknowledged to be a key contributor to institutional collapse, it is usually excluded from early-warning models for lack of a metric. This paper describes a new approach for quantifying a bank’s managerial efficiency, using a data-envelopment-analysis model that combines multiple inputs and outputs to compute a scalar measure of efficiency. This new metric captures an elusive, yet crucial, elem

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Cao, Jing, Haichao Ling, Tao Li, Shiyu Wang, Shengchuan Jiang, and Cong Zhao. "A Graph-Based Scheme Generation Method for Variable Traffic Organization in Parking Lots." Sustainability 16, no. 11 (2024): 4778. http://dx.doi.org/10.3390/su16114778.

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To deal with the traffic congestion issues caused by the imbalance between supply and demand in parking lots, this study proposes a graph-based scheme generation method for variable traffic organization in parking lots. A graph-based methodological framework is developed to dynamically generate feasible traffic organization schemes and adapt the road networks of parking lots based on fluctuating demands. First, we design a parking lot-tailored enhanced primal approach by adding a directedness attribute while maintaining road continuity to ensure correspondence between generated graphs and traf

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Hou, Dengkai, Houming Fan, and Xiaoxue Ren. "Multi-Depot Joint Distribution Vehicle Routing Problem Considering Energy Consumption with Time-Dependent Networks." Symmetry 13, no. 11 (2021): 2082. http://dx.doi.org/10.3390/sym13112082.

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This paper studies the multi-depot joint distribution vehicle routing problem considering energy consumption with time-dependent networks (MDJDVRP-TDN). Aiming at the multi-depot joint distribution vehicle routing problem where the vehicle travel time depends on the variation characteristics of the road network speed in the distribution area, considering the influence of the road network on the vehicle speed and the relationship between vehicle load and fuel consumption, a multi-depot joint distribution vehicle routing optimization model is established to minimize the sum of vehicle fixed cost

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Silva, Kevin, Felipe Besoain, and Nicolas A. Barriga. "Analysis, Generation, and Validation of New Boards for the Game Micro Robots." Applied Sciences 14, no. 20 (2024): 9416. http://dx.doi.org/10.3390/app14209416.

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This document presents a study of the board game Micro Robots and the development of a pipeline for the generation and validation of new boards of variable sizes. The implementation was carried out in the C# language, using graph theory and a depth-first search algorithm to explore various board configurations and their possible solutions. The main objective is the creation of boards that are different from the original ones, offering greater variety in the gaming experience. The impact of the modifications on the game’s dynamics and complexity was evaluated by comparing the generated boards w

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Nardiello, D., L. Borsato, G. Piotto, et al. "A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) – I. Search for exoplanets and variable stars in the field of 47 Tuc." Monthly Notices of the Royal Astronomical Society 490, no. 3 (2019): 3806–23. http://dx.doi.org/10.1093/mnras/stz2878.

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ABSTRACT The TESS mission will survey ∼85 per cent of the sky, giving us the opportunity of extracting high-precision light curves of millions of stars, including stellar cluster members. In this work, we present our project ‘A PSF-based Approach to TESS High quality data Of Stellar clusters’ (PATHOS), aimed at searching and characterize candidate exoplanets and variable stars in stellar clusters using our innovative method for the extraction of high-precision light curves of stars located in crowded environments. Our technique of light-curve extraction involves the use of empirical point spre

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Ntokas, Konstantin F. F., Jean Odry, Marie-Amélie Boucher, and Camille Garnaud. "Investigating ANN architectures and training to estimate snow water equivalent from snow depth." Hydrology and Earth System Sciences 25, no. 6 (2021): 3017–40. http://dx.doi.org/10.5194/hess-25-3017-2021.

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Abstract. Canada's water cycle is driven mainly by snowmelt. Snow water equivalent (SWE) is the snow-related variable that is most commonly used in hydrology, as it expresses the total quantity of water (solid and liquid) stored in the snowpack. Measurements of SWE are, however, expensive and not continuously accessible in real time. This motivates a search for alternative ways of estimating SWE from measurements that are more widely available and continuous over time. SWE can be calculated by multiplying snow depth by the bulk density of the snowpack. Regression models proposed in the literat

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Jiang, Yao-Yao, Wen-Bin Zhang, Peng-Cheng Chu, and Hong-Yang Ma. "Feedback search algorithm for multi-particle quantum walks over a ring based on permutation groups." Acta Physica Sinica 71, no. 3 (2022): 030201. http://dx.doi.org/10.7498/aps.71.20211000.

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In quantum computing science, much attention has been paid to how to construct quantum search algorithms better, moreover, searching for new search algorithms based on quantum walk is still attracting scholars' continuous in-depth research and exploration. In this paper, a multi-particle quantum walk search algorithm based on permutation group is proposed by considering many aspects, such as reducing time consumption and increasing the accuracy and controllability of algorithm search. Firstly, the permutation group can be regarded as a closed loop in space, and the permutation set is defined.

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Patry, Jérôme, Richard Belley, Mario Côté, and Marie-Ludivine Chateau-Degat. "Plantar Pressures, Plantar Forces, and Their Influence on the Pathogenesis of Diabetic Foot Ulcers." Journal of the American Podiatric Medical Association 103, no. 4 (2013): 322–32. http://dx.doi.org/10.7547/1030322.

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Background: Clinical recommendations for the prevention and healing of diabetic foot ulcers (DFUs) are somewhat clear. However, assessment and quantification of the mechanical stress responsible for DFU remain complex. Different pressure variables have been described in the literature to better understand plantar tissue stress exposure. This article reviews the role of pressure and shear forces in the pathogenesis of plantar DFU. Methods: We performed systematic searches of the PubMed and Embase databases, completed by a manual search of the selected studies. From 535 potentially relevant refe

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