Y-Function Analysis of the Low Temperature Behavior of Ultrathin Film FD SOI MOSFETs by A. Karsenty, A. Chelly

“…After having discussed the limits of this analysis.This case study illustrates the advantage of the Y-analysis in discriminating a parameter of great relevance for nanoscale devices and gives a coherent interpretation of an anomalous electrical behavior.…”
Get full text

Unsupervised intrusion detection model based on temporal convolutional network by LIAO Jinju, DING Jiawei, FENG Guanghui

“…Instead, it used temporal convolutional network and multi-head attention mechanism in the generative adversarial network generator and discriminator networks to enable more computation parallelization, and reduced computational complexity. …”
Get full text

Strong Emergence Arising from Weak Emergence by Thomas Schmickl

“…Ultimately, this suggests that it may be in principle impossible to discriminate between such distinct categories of “weak” and “strong” emergence, as phenomena of both types can be part of the very same feedback loop that mainly governs the system’s dynamics.…”
Get full text

Analysis of factors affecting employee performance by Yusuf Ronny Edward, Nagian Toni, Erina Alimin

“…Everything created for the model, it can be said, has strong discriminant validity. Each item's loading factor value is more than 0.7, indicating that all the variables are legitimate. …”
Get full text

THE DEGENERATE STATE RECOGNITION METHOD OF ROLLING BEARING BASED ON LCD AND GMM-VPMCD HYBRID MODEL by LIU Jibiao, CHENG Junsheng, LIU Yanfei

“…Since variable predictive model based class discriminate（ VPMCD） is a pattern recognition method in which the relationship between the feature values is adopted,it can be applied to the he degenerate state recognition of roller bearing. …”
Get full text

Relative Perfusion Differences between Parathyroid Adenomas and the Thyroid on Multiphase 4DCT by Steven P. M. J. Raeymaeckers, Yannick De Brucker, Maurizio Tosi, Nico Buls, Johan De Mey

“…The analysis of the ROC curve for the different perfusion parameters demonstrates a significantly high area under the curve for BF and BV, confirming these two perfusion parameters to be a possible discriminating tool to discern between parathyroid adenomas and thyroid tissue. …”
Get full text

Figure-ground segmentation based on motion in the archerfish by Svetlana Volotsky, Ronen Segev

“…We trained archerfish to discriminate foreground objects from the background, where the figures were defined by motion as well as by discontinuities in intensity and texture. …”
Get full text

SMEs probability of default: the case of the hospitality sector by Luís Pacheco

“…Usually the literature seeks to find a set of variables which are significant in the estimation of default and multiple discriminant analysis and logit methodology are the main avenues of research on this area. …”
Get full text

Advanced Cancer Classification Using AI and Pattern Recognition Techniques by Haddou Bouazza Sara, Haddou Bouazza Jihad

“…We applied feature selection techniques such as the F Test, Signal-to-Noise Ratio (SNR), T-test, ReliefF, Correlation Coefficient, Mutual Information, and minimum redundancy maximum relevance, along with classifiers including K-Nearest Neighbors, Support Vector Machines, Linear Discriminant Analysis, Decision Tree Classifiers, and Naive Bayes. …”
Get full text

My Hijab Covers my Mane, Not My Mind: Challenges Facing South African Muslim Women Academics by Quraisha Dawood

“…Despite Muslim women being more visible through media in recent years, literature shows that many remain marginalised, misunderstood, and often discriminated against for not subscribing to the dominant culture of the Western workplace. …”
Get full text

Do Social Influence and Rationalization Determine the Use of Artificial Intelligence-ChatGPT in Higher Education Learning? by Evamillatul Qistiyah, Muhammad Sabandi

“…Validity was tested with Convergent and Discriminant Validity, and reliability with Cronbach's Alpha and Composite Reliability. …”
Get full text

Distributed abnormal traffic detection method for SDN based on deep learning by WANG Kun, FU Yu, DUAN Xueyuan, YU Yihan, LIU Taotao

“…This method constructed a “one-to-many” distributed generative adversarial network (D-VAE-WGAN) with a discriminator deployed on a cloud server and multiple generators deployed on SDN controllers. …”
Get full text

Automatic detection of concrete cracks from images using Adam-SqueezeNet deep learning model by Lin Wang

“…This proposed deep learning model, built on the Adam-SqueezeNet architecture, automatically learns the discriminative feature directly from the labeled and augmented patches. …”
Get full text

Treatment of Decompensated Alcoholic Liver Disease by John Menachery, Ajay Duseja

“…Scoring with models like Maddrey discriminant function, a model for end-stage liver disease, Glasgow alcoholic hepatitis score, and Lille model are helpful in prognosticating patients with ALD. …”
Get full text

Are Mesenchymal Cells Indeed Pluripotent Stem Cells or Just Stromal Cells? OCT-4 and VSELs Biology Has Led to Better Understanding by Deepa Bhartiya

“…To conclude it is essential to discriminate between nuclear and cytoplasmic OCT-4 expression and also to acknowledge the presence of VSELs.…”
Get full text

Webshell malicious traffic detection method based on multi-feature fusion by Yuan LI, Yunpeng WANG, Tao LI, Baoqiang MA

“…Webshell is the most common malicious backdoor program for persistent control of Web application systems, which poses a huge threat to the safe operation of Web servers.For most Webshell detection method based on the request packet data for training, the method for web-based Webshell recognition effect is poorer, and the model of training efficiency is low.In response to the above problems, a Webshell malicious traffic detection method based on multi-feature fusion was proposed.The method was characterized by the three dimensions of Webshell packet meta information, packet payload content and traffic access behavior.Combining domain knowledge, feature extraction of request and response packets in the data stream.Transformed into feature extraction information for information fusion, forming a discriminant model that could detect different types of attacks.Compared with the previous research method, the accuracy rate of the method here in the two classification of normal and malicious traffic has been improved to 99.25%.The training efficiency and detection efficiency have also been significantly improved, and the training time and detection time have been reduced by 95.73% and 86.14%.…”
Get full text

TLE1 Positive Clear Cell Sarcoma of the Kidney: A Case Report and Review of the Literature by Rana Naous

“…The tumor however was double positive for CD99 and TLE1 which made it difficult to discriminate it from the myxoid variant of SS based on histopathological examination and immunophenotype alone, and genetic analysis for SYT gene rearrangement was required to reach a definitive diagnosis. …”
Get full text

Scalable Multilabel Learning Based on Feature and Label Dimensionality Reduction by Jaesung Lee, Dae-Won Kim

“…The empirical experiments on several multilabel datasets show that the multilabel learning process can be boosted without deteriorating the discriminating power of the multilabel classifier.…”
Get full text

A study about expectations of the athletes from their coaches resting in Olympics preparation camping Gaziantep by Huseyin Ozturk, Idris Cıldır, Omur Avsar

“…Besides having confidence in athletes, being honest with them and respect to them, not discriminate among them and knowing their personality traits and relationships between each other and also acting consistently and to be open to criticism are highly expected behaviors from the coaches.…”
Get full text

Stator and Rotor Faults Diagnosis of Squirrel Cage Motor Based on Fundamental Component Extraction Method by Guoqing An, Hongru Li

“…For broken rotor bars, the new added fault feature blanked by fundamental component is also difficult to be discriminated in the current spectrum. To solve the above problems, a fundamental component extraction (FCE) method is proposed in this paper. …”
Get full text