Experimental evaluation and statistical modeling of kenaf fiber-reinforced geopolymer concrete by Noor Abbas, Al-Ghazali, Abdul Aziz, Farah Nora Aznieta, Abdan, Khalina, Mohd Nasir, Noor Azline, Fahim Huseien, Ghasan

“…This study introduces a potential sustainable construction material called Kenaf Fiber-Reinforced Geopolymer Concrete (KFRGC) which is studied via experimental tests and statistical modelling. The effects of 20 mm to 40 mm lengths and 0.75 % to 1.5 % volume fractions of kenaf fibers on the engineering properties of KFRGC were measured. …”

Bayesian collective learning emerges from heuristic social learning by Krafft, P.M., Shmueli, Erez, Griffiths, Thomas L., Tenenbaum, Joshua B., Pentland, Alex

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Inference for autoregressive and moving average models with extreme value distribution via simulation study by Samuel, Bako Sunday

“…Time series analysis has emerged as one of the most important statistical discipline and it has been applied in different fields over the years. …”
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Dynamical and statistical properties of anyons in fractional quantum hall effect by Ha, Quang Trung

“…The quantum Hall effect has been the prototypical example for many emerging fields of Physics, including the study of topological phases of matter, topological order, and topological insulators. …”
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Role of spatial and sociodemographic variation on SARS-CoV-2 transmission and public health interventions in England by Bajaj, S

Dynamics of localized waves in one-dimensional random potentials : statistical theory of the coherent forward scattering peak by Lee, Kean Loon, Miniatura, Christian, Grémaud, Benoît

“…This is in perfect agreement with recent findings based on the nonlinear sigma model. In the stationary regime, the width of the CFS peak in momentum space is inversely proportional to the localization length, reflecting the exponential decay of the eigenfunctions in real space, while its height is exactly twice the background, reflecting the Poisson statistical properties of the eigenfunctions. …”
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Modeling human-like non-rationality in social agents by Kochanowicz, Jaroslaw Slawomir

“…Based on this, elements of a paradigm of computational non-rationality modeling are proposed. Those include abandonment of the paradigmatic simplicity of MAS and closing the socio-cultural immergence-emergence loop by MAS-CAA merger. …”
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Personalised modelling of geographic movements in depression by Palmius, N

“…This is applied to 59 participants who provided more than 5 weeks of data for analysis, and finds that there are indeed several groups of individuals that appeared to behave similarly. Regression models trained on these grouped individuals significantly improve on the regression results from models trained over all participants and models trained on limited calibration data.…”

Automated external defibrillator (AED) placement optimization by Muhammad Salleh Mohamed Tahir

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Fully-Additive Printed Electronics: Transistor model, process variation and fundamental circuit designs by Zhang, Xi, Ge, Tong, Chang, Joseph Sylvester

“…The proposed comprehensive model further embodies process variations (statistical data) and matching based on various layout techniques. …”
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Analysis and modelling of urban sprawl process and its spatiotemporal patterns in tripoli metropolitan area, Libya by Abdulhadi, Abubakr Albashir

“…To simulate the urban sprawl process and predict probable sprawl patterns in the future, several modeling approaches were applied, including (1) bivariate statistical model of Frequency Ratio (FR), (2) a novel bivariate statistical urban model of Evidential Belief Functions (EBF), (3) Multivariate Logistic Regression (LR) Model, and (4) Common Integrated Cellular Automata Markov Chain (CA-Markov) model. …”
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Dengue hemorrhagic fever prevention and control: DHF-solve model using linebot-application and GIS by Mala, M., Meenongwar, C., Jundaeng, J., Osman, M., Viegus, Z., Nithikathkul, C.

“…It has demonstrated the potential to reduce morbidity rates during two outbreak generations. Therefore, this model effectively addresses the issue of DHF and should be implemented as a response mechanism in emergencies where DHF outbreaks may arise.…”
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Modelling and integrating of experimental analysis for predicting the parameters of kenaf fibre-reinforced concrete beam-column joint by Ayeni, Ige Samuel, Mohamad Jamaludin, Yatim, Abdul Shukor Lim, Nor Hasanah

“…R2 statistical analysis is used to evaluate the model's efficacy. …”
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Optimal portfolio and trading strategy using machine learning by Ouazzane, Karim, Tang, Kai Hung Po Yung, Ghanem, Mohamed Chahine

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GIS-based multi-criteria decision analysis model for utility water demand: the case of Lodwar Municipality, Turkana County, Kenya by Wanguba, B, Siriba, DN, Okumu, BO

“…The model efficiency was assessed through the application of statistical indicators as well as graphical and map presentations. …”

Digital Anatomy : Applications of Virtual, Mixed and Augmented Reality / by Uhl, Jean-François, editor 643187, Jorge, J. A. (Joaquim Armando), editor 643188, Lopes, Daniel Simões, editor 643190, Campos, Pedro F., editor 643191

Hidden Influence in Dynamic Networks by Erhardt, Keeley Donovan

“…Leveraging mathematical and statistical models, including neural network techniques, this research delves into the hidden influence that weaves through seemingly unrelated, yet intrinsically connected, entities in online social and financial networks. …”
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Multi-IRS empowered terahertz wireless communication over generalized fading by Premanand, Rithwik, Vishwakarma, Narendra, Singh, Ranjan, Madhukumar, A. S.

“…To mitigate these limitations and leverage the unique advantages of the THz band, this study investigates a multi-IRS-empowered THz system that incorporates design parameters such as transceiver antenna gains, operation frequency, link distances, molecular absorption losses, beam misalignment, transceiver hardware imperfections, and statistical characteristics of the THz channel. By utilizing a sophisticated channel model that integrates the joint effects of these parameters with IRS properties and inter-IRS collaboration, this study demonstrates significant enhancement in system performance and power savings. …”
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Towards Synergistic Understanding of Language Processing in Biological and Artificial Systems by Hosseini Asl, Eghbal

“…Straightening emerges as a result of model training and scales with model size. …”
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Graph neural network for traffic forecasting: the research progress by Jiang, Weiwei, Luo, Jiayun, He, Miao, Gu, Weixi

“…Various forecasting methods have been proposed in the literature, including statistical models, shallow machine learning models, and deep learning models. …”
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