The cover of randomness: validating implicit methods for the study of sensitive topics by Charles Efferson, Sonja Vogt

“…We review the methods we developed to study female genital cutting in Sudan and sex-selective abortion in Armenia. …”
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METHODS OF FINANCING OF INVESTMENT PROJECTS OF BIG STRUCTURES OF METALLURGICAL SECTOR by A. E. Nikiforov, L. M. Kravets, A. S. Vorozhun

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Intelligent methods for natural data analysis: application to space weather by O.V. Mandrikova

Subjects: “…data analysis methods…”
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Restrictive metric regularity and generalized differential calculus in Banach spaces by Boris S. Mordukhovich, Bingwu Wang

“…We consider nonlinear mappings f:X→Y between Banach spaces and study the notion of restrictive metric regularity of f around some point x¯, that is, metric regularity of f from X into the metric space E=f(X). …”
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5G millimeter wave UE test method and analysis by Jian GONG, Yu ZHANG

“…In the 5G millimeter wave UE OTA RF conformance test, EIRP and TRP type of tests are important OTA items.Currently, this method relying on 3GPP-defined random scan to lock the beam to determine the maximum EIRP and TRP, but this method is time-consuming and lacks accuracy.A non-signaling test method was proposed, which could not only achieve more accurate measurements compared with the current EIRP and TRP test methods but also make it possible to use the non-directional OTA site as the measurement environment, further reducing the test cost and time cost, and increasing the flexibility of the test environment selection.…”
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The Partial Inner Product Space Method: A Quick Overview by Jean-Pierre Antoine, Camillo Trapani

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Hybrid Topological Derivative-Gradient Based Methods for Nondestructive Testing by A. Carpio, M.-L. Rapún

“…This paper is devoted to the reconstruction of objects buried in a medium and their material properties by hybrid topological derivative-gradient based methods. After illustrating the techniques in time-harmonic acoustic problems with different boundary conditions and in electrical impedance tomography problems with continuous Neumann conditions, we extend the hybrid method for a realistic model in tomography where the boundary conditions are given at a discrete set of electrodes.…”
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Study on Method of Water Supply Quantity Distribution of Shenzhen City by 缪翚

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Research on Equivalent Method of Bench Fatigue Tests for Main Reducers by Zou Xihong, Zhou Qing, Yuan Dongmei, Xiao Yukai, Zhou Yuting, He Ping

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Privacy Protection Method for Vehicle Trajectory Based on VLPR Data by Hua Chen, Chen Xiong, Jia-meng Xie, Ming Cai

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Analytical Method Development and Validation of Exemestane Tablet by UV Spectrophotometry by S. Angalaparameswari, V. S. Thiruvengadarajan, N. Amruth Kumar, M. Kutumbarao, S. Ramkanth, C. Madhusudhanachetty

“…The present research work discusses the development and validation of a UV spectrophotometric method for Exemestane. Simple, accurate and cost efficient spectrophotometric method has been developed for the estimation of Exemestane in Tablet dosage form. …”
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Characterization of the Strong Metric Subregularity of the Mordukhovich Subdifferential on Asplund Spaces by J. J. Wang, W. Song

“…We mainly present several equivalent characterizations of the strong metric subregularity of the Mordukhovich subdifferential for an extended-real-valued lower semicontinuous, prox-regular, and subdifferentially continuous function acting on an Asplund space.…”
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METHODICAL APPROACH TO AN ASSESSMENT OF A LEVEL OF QUALITY AND COMPETITIVENESS OF GOODS by N. Zemlyanskaya, N. Kazakova, M. Cherkasov

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A secure method of voting and planning based on quadratic voting by Hamid Devisti, Massoud Hadian Dehkordi

“…Little research has been done on the safe implementation of this method. In this paper, we first present a voting method based on $QV$. …”
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Comparisons of spatial prediction methods for stationary Gaussian random fields by Kęstutis Dučinskas, Žilvinas Vainilavičius

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Android malware detection method based on deep neural network by Fan CHAO, Zhi YANG, Xuehui DU, Yan SUN

“…Android is increasingly facing the threat of malware attacks.It is difficult to effectively detect large-sample and multi-class malware for traditional machine learning methods such as support vector machine,method for Android malware detection and family classification based on deep neural network was proposed.Based on the comprehensive extraction of application components,Intent Filter,permissions,and data flow,the method performed an effective feature selection to reduce dimensions,and conducted a large-sample detection and multi-class classification for malware based on deep neural network.The experimental results show that the method can conduct an effective detection and classification.The accuracy of binary classification between benign and malicious Apps is 97.73%,and the accuracy of family multi-class classification can reach 93.54%,which is higher than other machine learning algorithms.…”
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A Network Traffic Classification Method for Class-Imbalanced Data by Xiaohui Guan, Yaguan Qian

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A New Method for Predicting the Permeability of Sandstone in Deep Reservoirs by Feisheng Feng, Pan Wang, Zhen Wei, Guanghui Jiang, Dongjing Xu, Jiqiang Zhang, Jing Zhang

“…Capillary pressure curve data measured through the mercury injection method can accurately reflect the pore throat characteristics of reservoir rock; in this study, a new methodology is proposed to solve the aforementioned problem by virtue of the support vector regression tool and two improved models according to Swanson and capillary parachor parameters. …”
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New construction method of periodic quasi-complementary sequence set by Xiaoyu CHEN, Chengrui WANG, Fan LIU

“…--math xmlns="http://www.w3.org/1998/Math/MathML"> <msub> <mi>&#x2124;</mi> <mrow> <mi>q</mi><mo stretchy='false'>(</mo><mi>q</mi><mo>&#x2212;</mo><mn>1</mn><mo stretchy='false'>)</mo></mrow> </msub> </math--></inline-formula>.The comparison results show that compared with the existing periodic quasi-complementary sequence sets, the proposed method contains more sequences with the same subsequence length, and can support more users in multi-carrier communication system.…”
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Generalized Grad-CAM attacking method based on adversarial patch by Nianwen SI, Wenlin ZHANG, Dan QU, Heyu CHANG, Shengxiang LI, Tong NIU

“…To verify the fragility of the Grad-CAM, a Grad-CAM attack method based on adversarial patch was proposed.By adding a constraint to the Grad-CAM in the classification loss function, an adversarial patch could be optimized and the adversarial image could be synthesized.The adversarial image guided the Grad-CAM interpretation result towards the patch area while the classification result remains unchanged, so as to attack the interpretations.Meanwhile, through batch-training on the dataset and increasing perturbation norm constraint, the generalization and the multi-scene usability of the adversarial patch were improved.Experimental results on the ILSVRC2012 dataset show that compared with the existing methods, the proposed method can attack the interpretation results of the Grad-CAM more simply and effectively while maintaining the classification accuracy.…”
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