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Abstract Computer models and simulations have provided enormous benefits to researchers in the natural and social sciences, as well as many areas of philosophy. However, to date, there has been little attempt to use comp...

Computerized Adaptive Tests (CAT) constitutes a major advance in the field of the assessment of social sciences and health. It is interesting to incorporate this methodological development to organizational field. The ob...

Abstract The research deals with using computer program in Arabic linguistic sciences through making it contribute in time economy in addition to its nature as a means of teaching and learning. A user of a computer can r...

Infraspecific variation in flower colors was evaluated in 26 populations of Calceolaria uniflora Lam. in Southern Patagonia, Argentina. Computerized analysis of high-resolution photo-images was used to estimate the propo...

Abstract Background The difficulties in defining hate crime, hate incidents and hate speech, and in finding a common conceptual basis constitute a key barrier toward operationalisation in research, policy and programming...

Esta palestra tem o objetivo de apresentar e discutir metodologias utilizadas para modelar e integrar o conhecimento clássico em nutrição animal, e o produzido por novas ciências moleculares como nutrigenoma, proteom...

We investigate the statistical properties of votes of customers for spots of France collected by the startup company Nomao. The frequencies of votes per spot and per customer are characterized by a power law distribution...

Cities of the future will have to overcome congestion, air pollution and increasing infrastructure cost while moving more people and goods smoothly, efficiently and in an eco-friendly manner. Urban air mobility (UAM) is ...

Subjects / keywords: Programming languages (Electronic computers); R (Computer program language); Social sciences; Data processing; Electronic books

Subjects / keywords: Ecology; Data processing; Environmental sciences; R (Computer program language)

Subjects / keywords: SPSS (Computer file); Handbooks, manuals, etc; Social sciences; Statistical methods; Computer programs; Electronic books

In few groups of parasites have the patterns of distribution been studied using quantitative methods, even though, the study of these organisms indirectly provides information on the biogeographic history of their hosts,...

Subjects / keywords: Multiagent systems; NetLogo (Computer program language); Social sciences; Statistical methods

Subjects / keywords: SPSS for Windows; Social sciences; Statistical methods; Computer programs; Electronic books

Subjects / keywords: SPSS for Windows; R (Computer program language); Social sciences; Statistical methods; Computer programs

The airplane (de)boarding process is not organized optimally. The goal of this paper is to search for improvement possibilities. In this paper literature is reviewed, boarding characteristics are studied in a field study...

In this research, we address a critical problem for strawberry growers in Lima: the management of phytosanitary diseases. Traditionally, these farmers relied on time-consuming, imprecise, and error-prone visual observati...

Abstract Physical sciences are essential to the predictive modeling of complex environmental systems, particularly environmental monitoring and sustainability applications, as they provide the deterministic foundation re...

Convolutional Neural Network Twin Arm Robot for Automated Packing of Electronic Components is an intellectual robotic system that is developed as a COCA (Collaborative Operation Control Agent) operational handler of the ...

Quantum coherence properties are attractive for making a quantum computer, but they are easily destroyed by environmental disorder. This contribution examines a way of achieving a perfect electric wire of gallium arsenid...

Understanding neural responses to varying physical loads is essential for developing ergonomic designs. Conventional methods for analyzing peripheral muscle activity, such as electromyography (EMG) and kinematic analysis...

Abstract Purpose This study introduces a new Convolutional Neural Network (CNN) architecture, EyeDiagNet, for the classification of fundus images into four classes: normal, cataract, diabetic retinopathy (DR), and glauco...

This research paper explores a robotic arm that is operated by hand movements so that individuals can work with machines effortlessly. The implementation is composed of computer vision, machine learning and small hardwar...

This paper will offer a unified strategy to the optimization of the chassis of a Formula SAE Supra car and predict structural failures using machine learning and Finite Element Analysis (FEA). The work demonstrates that ...