Whitening of Background Brain Activity via Parametric Modeling by Nidal Kamel, Andrews Samraj, Arash Mousavi

“…In this paper, we investigate the whitening capabilities of two parametric techniques: a direct one based on Levinson solution of Yule-Walker equations, called AR Yule-Walker, and an indirect one based on the least-squares solution of forward-backward linear prediction (FBLP) equations, called AR-FBLP. The whitening effect of the two algorithms is investigated with real background electroencephalogram (EEG) colored noise and compared in time and frequency domains.…”
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Estimacão da qualidade industrial da batata (Solanum tuberosum L.) atraves do uso da isoenzima glutamato oxaloacetato transaminase by M.A. Andreu, A. da S. Pereira

“…The use of isoenzymes for a rapid prediction of these characteristics in tetraploid potatoes resulting in an increased selection efficiency by reducing the time required to get good results, was not completely explored yet. …”
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Evaluating the Association Between Ambient Pollutants and Climate Conditions in Chiangmai, Thailand by S. Piyavadee, R. Chumaporn and V. Patipat

“…The ANOVA analysis indicated that the average temperature was associated significantly with the nitrogen dioxide (NO2) concentration in the ambient, but the average rainfall volume was associated significantly with most pollutants except only sulfur dioxide (SO2). From the prediction models, the rise in average temperature affected to increase in the concentrations of PM10 and O3. …”
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A review of drug knowledge discovery using BioNLP and tensor or matrix decomposition by Mina Gachloo, Yuxing Wang, Jingbo Xia

“…Prediction of the relations among drug and other molecular or social entities is the main knowledge discovery pattern for the purpose of drug-related knowledge discovery. …”
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Rozwój genetyki i nauk żywieniowych a działania na rzecz zachowania zdrowia by Grażyna Nowicka

“…Nowadays there is no doubts that interaction between genes and nutrition plays a key role in health risk prediction and disease prevention. Individual nutritional status is determined not only by food availability but also by genes that control food intake, nutrient absorption and metabolism. …”
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Voltage Stability Assessment and Control Using Indices and FACTS: A Comparative Review by Rabiaa Gadal, Aziz Oukennou, Faissal El Mariami, Abdelziz Belfqih, Naima Agouzoul

“…Furthermore, an exhaustive discussion on the various voltage stability indices and FACTS devices existing in the literature with their contribution to voltage stability prediction and improvement has been proposed.…”
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Molecular optimization using a conditional transformer for reaction-aware compound exploration with reinforcement learning by Shogo Nakamura, Nobuaki Yasuo, Masakazu Sekijima

“…The molecular optimization results of an activity prediction model targeting DRD2, AKT1, and CXCR4 revealed that TRACER effectively generated compounds with high scores. …”
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Traffic-Aware Data Delivery Scheme for Urban Vehicular Sensor Networks by Chunmei Ma, Nianbo Liu

“…Moreover, in order to decrease the routing overhead brought by the traffic information gathering, we build a traffic condition prediction model to estimate the link quality. The simulation results show that our TADS outperforms existing works on packet delivery ratio, end-to-end delay, and routing overhead.…”
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Analysis of the NUPEC PSBT Tests with FLICA-OVAP by Matteo Bucci, Philippe Fillion

“…This paper discusses the results of a computational activity devoted to the prediction of two-phase flows in subchannels and in rod bundles. …”
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A Simple Mathematical Model of Cyclic Circadian Learning by J. Šimon, M. Bulko

“…Various requirements are met with an emphasis and approach which relies on simple mathematical operations, the prediction of measurable quantities, and the creation of uncomplicated processes of calibration. …”
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Human Behaviour Analysis of Barrier Deviations Using a Benefit-Cost-Deficit Model by Philippe Polet, Frédéric Vanderhaegen, Patrick Millot

“…The proposed BCD model attempts to explain and predict barrier removal in terms of the benefits, costs, and potential deficits associated with this human behaviour. …”
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Nondestructive Damage Evaluation in Ceramic Matrix Composites for Aerospace Applications by Konstantinos G. Dassios, Evangelos Z. Kordatos, Dimitrios G. Aggelis, Theodore E. Matikas

“…Additionally, these nondestructive parameters help in early prediction of the residual life of the material and in establishing the fatigue limit of materials rapidly and accurately.…”
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Modeling and Experimental Study on Dynamic Characteristics of Dual-Mass Flywheel Torsional Damper by Long Chen, Wen-ku Shi, Zhi-yong Chen

“…This modeling and test method can be used for structural design and performance prediction analysis of DMF.…”
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Hungarian Emerging by Diana Archangeli, Douglas Pulleyblank

“…Given these hypotheses, grammars are acquired piecemeal and learners rapidly generalise over subparts of the lexicon. One prediction is that we expect languages to have regularities with widely differing effect – both general patterns and subpatterns that exist but only in a narrow domain. …”
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Deepfake Dilemmas: Imagine Tomorrow’s Surveillance Society through Three Scenarios by Fatma Doğan Akkaya

“…Moving beyond technical considerations, the research employs social prediction methods to explore three potential future scenarios involving deepfake avatars: seamless integration that facilitates self-expression but complicates digital identity control; pervasive algorithmic surveillance that exacerbates social control and privacy issues; and the concept of ghost avatars, that is, digital representations that function as commodities or tools of resistance. …”
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Affecting Factors Smoking Cessation Intention among Adolescent E-Cigarette Smokers by Ananda Khoirunnisa Dewanti Pitaloka, Fenny Etrawati, Sakinah Hadirama

“…The analysis used was univariate, bivariate analysis using a chi-square test, and multivariate analysis with multiple logistic regression test prediction model. The results showed a relationship between the age of first e-cigarette smoking (p=0.002), knowledge (p…”
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Numerical analysis of sodium diffusion in aluminum electrolysis cathode carbon blocks based on a microstructure multi-factor corrected model. by Chenglong Gong, Tianqi Xu, Huarong Qi, Yan Li

“…Viewing the cathode carbon block as a multiphase composite material, this study examines the sodium diffusion process from a microstructural perspective. A prediction model for sodium diffusion, considering factors like porosity, temperature, binding effects, current density, and molecular ratio, was developed. …”
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Analyzing the Relationship between the PM2.5 Concentration and the Gini Coefficient Using the Grey Model by Lifeng Wu, Kai Cai, Yan Chen

“…The nonequigap fractional grey prediction model (CFNGM (1, 1)) is used for data fitting and predicting. …”
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MEL-IRIS: An Online Tool for Audio Analysis and Music Indexing by Dimitrios Margounakis, Dionysios Politis, Konstantinos Mokos

“…Especially in Music Information Retrieval (MIR), the visualization of the chromatic analysis can be used for comparison, pattern recognition, melodic sequence prediction, and color-based searching. MEL-IRIS is the tool which has been developed in order to analyze audio files and characterize music based on chroma. …”
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Implementasi Teknologi Blockchain dalam Digital Marketing by Achmad Solechan, Rohmad Abidin

“…The graph shows the blockchain market prediction which also shows the adoption of the use of blockchain technology. …”
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