Identifying the Geographical Origin of Tobacco Leaf by Strontium and Lead Isotopic with Mineral Elemental Fingerprint by Liu Hong, Wenyuan Wang, Yang Su, Guiping Zhang, Yong Su, Chenming Zhang, Jianhua Chen, Wei Zhe, Zhihua Liu, Jianyong Cui, Deshou Mao, Jin Wang

“…After variance and stepwise discriminant analysis, the discriminant functions of the tobacco leaf’s geographical origin were established. …”
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Evaluation of genetic differences between two autochthonous Spanish cattle breeds by Paola E. Milia, Alberto Cesarani, Clara Diaz, Cristina Meneses, Juan Carlos Parejo, Laura Falchi, Nicolò P. P. Macciotta, Corrado Dimauro

“…In the multivariate approach, the stepwise discriminant analysis and the canonical discriminant analysis (CDA) were applied. …”
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Impact of environmental and geographical position on the chemometric classification of ethanol extracts from Isotoma longiflora leaves by E. Imelda, K. Khairan, R.R. Lubis, T. Karma, R. Idroes

“…Based on the cross-validation using linear discriminant analysis showed that the prediction model had a 100 percent accuracy. …”
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Determining the most important game-related statistics in Euroleague basketball competitions: A five-year follow-up by İlkay Doğan, Berk Yılmaz, Özkan Işık

“…According to the results of the discriminant analysis, turnover, defensive rebound, and total rebound are important game-related statistics to being an Euroleague champion. …”
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Multi-Resolution Wavelet-Transformed Image Analysis of Histological Sections of Breast Carcinomas by Hae-Gil Hwang, Hyun-Ju Choi, Byeong-Il Lee, Hye-Kyoung Yoon, Sang-Hee Nam, Heung-Kook Choi

“…In the classification step, we applied two types of classifiers to the extracted features, namely a statistics-based multivariate (discriminant) analysis and a neural network. Using features from second-level Haar transform wavelet images in combination with discriminant analysis, we obtained classification accuracies of 96.67 and 87.78% for the training and testing set (90 images each), respectively. …”
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Evaluation of Foramen Magnum for Sex Determination among the Population of Dakshina Kannada District: A Retrospective CBCT Study by Junaid Ahmed, null Namrata, Nanditha Sujir, Nandita Shenoy, Archana M., Srikant Natarajan

“…Independent t-tests were used to compare the various parameters between sexes. Stepwise discriminant function analysis was used to determine sex. …”
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Differences in the achievement motivation in young football players and non-athletes by Milan Jelić

“…For the purpose of data processing in this study were used methods of descriptive and multivariate statistics (t-test, canonical discriminant analysis, F-test). Application of canonical discriminant analysis which showed that the discriminating canonical correlation function of 0,39 (λ= 0.86; χ2 = 22.40; r = 0.00), which means there is a statistically significant difference regarding the structure of the achievement motivation. …”
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Renal Function and Ultrasound Imaging in Elderly Subjects by Luca Zanoli, Giulia Romano, Marcello Romano, Stefania Rastelli, Francesco Rapisarda, Antonio Granata, Pasquale Fatuzzo, Mariano Malaguarnera, Pietro Castellino

“…The combined use of r-US and Cockcroft-Gault formula improved the ability to discriminate CKD in elderly subjects.…”
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A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement by Yan Zhang, Zhen-min Tang, Yan-ping Li, Yang Luo

“…For the feature selection and voting block, several discriminating features were employed in a voting paradigm for the consideration of reliability and discriminative power. …”
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En route vers la désinvisibilisation… et la dévulnérabilisation ? by Yann Descamps

“…Ma course vers les Paralympiques in French) which portrays a disabled woman athlete – a figure who faces many discriminations. Narumi Shigematsu’s work contributes to a process of disinvisibilization of people who face multiple discriminations both in society and the world of sport. …”
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Activity Graph Feature Selection for Activity Pattern Classification by Kisung Park, Yongkoo Han, Young-Koo Lee

“…For this classification problem, it is important to mine discriminative features reflecting the intrinsic patterns of each individual. …”
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Improved TCP based on adaptive loss differentiation algorithm over wired-wireless networks by YE Jin1, WANG Jian-xin1, GONG Hao1

“…BQM discriminator can not be fit to different network states was pointed and an adaptive BQM,whose key idea is adjusting the important parameters for pattern matching according to network states so that the scheme can keep validity while congestion loss and/or channel error increasing was proposed.The experiment results show that the accuracy of A_BQM discriminator is higher than BQM in different network states and A_BQM can adjust itself adaptively according to network states.A_BQM gets better performance than BQM in some metrics,such as network throughput,fairness,delay jitter,and can be implemented and used easily in wired-cum-wireless networks.…”
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Changes Related to Age in Natural and Acquired Systemic Self-IgG Responses in Malaria by Romuald Dassé, Didier Lefranc, Sylvain Dubucquoi, Patricia Dussart, Virginie Dutoit-Lefevre, Boualem Sendid, François Sombo Mambo, Patrick Vermersch, Lionel Prin

“…We identified the most discriminant bands with respect to age and clinical status. …”
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Study the relationship between serum lipid profile and bronchial asthma exacerbation by Israa S.M.M. Elkordi, Manal R. Hafez, Hoda A. Eid

“…HDL-c and LDL-c could be used to discriminate between acute and stable asthma phases.…”
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Remote sensing image dehazing using a wavelet-based generative adversarial networks by Guangda Chen, Yanfei Jia, Yanjiang Yin, Shuaiwei Fu, Dejun Liu, Tenghao Wang

“…Moreover, an improved discriminator network is proposed by adding a noise module to the conventional discriminator, enhancing the network’s robustness. …”
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Adaptive Gaussian Incremental Expectation Stadium Parameter Estimation Algorithm for Sports Video Analysis by Lizhi Geng

“…The features with more discriminative power are selected from the set of positive and negative templates using a feature selection mechanism, and a sparse discriminative model is constructed by combining a confidence value metric strategy. …”
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Design of an Efficient Real-Time Algorithm Using Reduced Feature Dimension for Recognition of Speed Limit Signs by Hanmin Cho, Seungwha Han, Sun-Young Hwang

“…To reduce feature dimension in LDA, DCT coefficients are selected by a devised discriminant function derived from information obtained by training. …”
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Condition Identification of Gears based on CEEMDAN Energy Entropy by Dou Chunhong, Zhao Guangsheng, Kou Xinglei

“…Afterwards,the proposed method is used to discriminate between normal,slight-scratch and medium-scratch gear operating conditions,and compared with the method based on EMD \ EEMD energy entropy. …”
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Dysfunctional Consumer Behavior: Proposition of a Measurement Scale by Marília Lara Marcondes Machado de Oliveira, Andres Rodriguez Veloso

“…The data was collected over the Internet (Amazon Turk) and the statistical meth ods used for the scale development were cluster and discriminant analysis. The results showed evidence that it is possible to distinguish consumers through a discriminant function using interpersonal influence, such as aggressiveness, self - exposure, moral flexibility and machiavellianism; and personality aspects, such as dissatisfaction and acceptance.…”
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Intelligent power control for covert communication in cognitive Internet of things by Zan LI, Xiaomin LIAO, Jia SHI, Pei XIAO

“…In order to solve the security problem of cognitive Internet of things (IoT),an intelligent power control algorithm of covert communication in cognitive IoT based on generative adversarial network was proposed.Firstly,the covert communication optimization problem in the cognitive IoT was transformed into a dynamic game between the cognitive IoT user and the eavesdropper.Then,the generator imitated the cognitive IoT user,while the discriminator imitated the eavesdropper.The generator and the discriminator were constructed by the three-layer neural network respectively.Through the two-person zero-sum game,the learning optimization process was realized to achieve the Nash equilibrium,and finally the covert power control scheme was obtained.The simulation results show that the proposed algorithm can not only obtain near-optimal covert power control scheme with rapid convergence ability,but also be more practical in the future cognitive IoT.…”
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