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Many optimization problems in various fields have been solved using diverse optimization al gorithms. Traditional optimization techniques such as linear programming (LP), non-linear programming (NLP), and dynamic program...

The time-frequency and time-scale communities have recently developed a large number of overcomplete waveform dictionaries --- stationary wavelets, wavelet packets, cosine packets, chirplets, and warplets, to name a few....

Abstract A new method for non‐linear programming in general and structural optimization in particular is presented. In each step of the iterative process, a strictly convex approximating subproblem is generated and sol...

This paper presents a prototype man–machine dialogue system specifically designed for Arabic, addressing the growing need for voice-based interaction in under-resourced linguistic contexts. Arabic poses particular chal...

As photonic linear computations are diverse and easy to realize while photonic nonlinear computations are relatively limited and difficult, we propose a novel way to perform photonic nonlinear computations by linear oper...

Sugar cane, an extremely abundant agricultural resource, is a key feedstock for the sustainable production of biofuels and bioproducts. Although it is mainly grown for the production of sugar and first-generation ethanol...

Liquid Air Energy Storage offers several advantages over other energy storage systems, including high energy density, scalability, cost-competitiveness, and non-geographical constraints. This study develops a computation...

Abstract Most researches focus on the regenerative braking system design in vehicle components control and braking torque distribution, few combine the connected vehicle technologies into braking velocity planning. If th...

Solving optimal control problems serves as the basic demand of industrial control tasks. Existing methods like model predictive control often suffer from heavy online computational burdens. Reinforcement learning has sho...

Liquid air energy storage (LAES) systems are a promising technology for storing electricity due to their high energy density and lack of geographic constraints. However, some LAES systems still have relatively low round-...

The low-frequency vibration stimulation technology can improve the seepage of fluid in low-permeability reservoir, which is rather deeper than that of the regular geotechnical formation. Few researches on the mechanisms ...

Background: Adolescence is a critical period of maturation when nutrient needs are high, especially among adolescents entering pregnancy. Using individual-level data from 140,000 participants, we examined socioeconomic, ...

The birth of the systemic approach resulted in an epistemological revolution that changed the foundations and concepts of several disciplines, and had the greatest impact on the first linear communicative models, which w...

This research focuses on developing a neural network model in the Python programming language to solve the technological problem of forecasting potato yields with limited agroclimatic data. The developed program is consi...

IntroductionUrban greening has been increasingly discussed as a component of health-supportive environments. While greenspace exposure has been associated with psychological restoration, limited evidence exists regarding...

ABSTRACT The INTERGEN package has been under constant development for the last two decades using the Fortran 90/95 programming language. The latest version of INTERGEN includes three different binaries: intergen, interge...

This study employs computational intelligence techniques – gene expression programming (GEP), back-propagation neural network (BPNN), support vector regression (SVR) and linear regression (LR)–to model the quantitati...

Abstract Introduction The placenta, translates how the fetus experiences the maternal environment and is a principal influence on birth weight (BW). Objective To explore the relationship between placental growth meas...

We describe the implementation of a first-order linearly typed assembly language, HBAL, that allows the safe reuse of heap space for elements of different types Linear typing ensures the single pointer property, disallow...

The N-body problem is often characterized by the necessity to interact each of the N bodies with every other one. Its principal problem is the time spent in force computation. Computing the force among a set of N bodies...

The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link functions are supported, allowing users to fit - among others - linear...

One of the problems which has plagued those attempting to predict the behavior of capital markets is the absence of a body of positive microeconomic theory dealing with conditions of risk. Although many useful insights c...

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression an...

This chapter describes a new algorithm for training Support Vector Machines: Sequential Minimal Optimization, or SMO. Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (Q...