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“Metrics used on development of expert systems is not a well investigated problem area. This article suggests some metrics to be used to measure the maturity of the conceptualization process and the complexity of the d...

Metrics used on development of expert systems is not a well investigated problem area. This article suggests some metrics to be used to measure the maturity of the conceptualization process and the complexity of the deci...

The Artificial Intelligence (AI) revolution, in its different manifestations -expert systems, neural networks, intelligent hybrid systems, etc.- brings with it many technological advances. Although this technology has so...

Educational Innovation: Tools and Practices for Effective Learning stands as a testament to the transformative power of innovative educational strategies. Directed and coordinated by a distinguished team of experts, this...

Esta monografía, enjuiciará la democracia y el Estado de Derecho en Latinoamérica, comparándolo con el modelo descrito por Luigi Ferrajoli. Modelo caracterizado por una constitución rígida y un Estado Constituciona...

The Educational Revolution: New Perspectives and Innovative Practices offers a comprehensive and multidimensional exploration of the innovations that are reshaping the current educational landscape. Coordinated and direc...

What is the predictive accuracy and effectiveness of algorithms designed for crime prevention purposes? Are they sufficiently transparent? Are there any inherent biases? This report presents an analysis of three algorith...

Rubber plants are important crops in various countries. Rubber plants have many benefits for human life. Rubber plant diseases cause many losses to farmers. Lack of knowledge and information regarding the treatment of ex...

"This paper addresses the development and computational implementation of an inference engine based on a full fuzzy logic, excluding only imprecise quantifiers, for handling uncertainty and imprecision in rule-based expe...

Technological-based early warning systems (EWS) in rural Indonesia have shown limited long-term adoption because centralised, top-down mechanisms fail to incorporate the contextual triggers trusted by local communities, ...

A certainty factor (CF) rule-based technique is frequently used by traditional expert systems (TES) in the medical industry to compute several symptoms and identify the inference solutions. The primary concern for this T...

Los modelos gráficos probabilísticos, tales como las redes bayesianas y los diagramas de influencias permiten representar de forma coherente el conocimiento de un dominio bajo condiciones de incertidumbre. Están basad...

Los sistemas de ayuda son conocidos también como sistemas de apoyo en línea y son esenciales en los procesos de interacción humano-computador, estos proporcionan información breve y concisa para resolver un problema ...

Metrics used on development of expert systems is not a well investigated problem area. This article suggests some metrics to be used to measure the maturity of the conceptualization process and the complexity of the deci...

There are three kinds of uncertainty in the process of fish-disease diagnosis, such as randomicity, fuzzy and imperfection, which affect the veracity of fish-disease diagnostic conclusion. So, it is important to construc...

In this paper we present an e ective prover for mbC, a minimal inconsistency logic. The mbC logic is a paraconsistent logic of the family of logics of formal inconsistency. Paraconsistent logics have several philosophica...

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to iden...

Fish disease diagnosis is a complicated process and requires high level of expertise, an expert system for fish disease diagnosis is considered as an effective tool to help fish farmers. However, many farmers have no com...

There exists a large amount of knowledge representation models. But most of them have significant limitations at the epistemic level. They do not have explanatory power. Most of them do not have means to represent some f...

Este trabajo analiza las creencias mitológicas, agüeros o supersticiones asociadas con las actividades agropecuarias y de conservación en nueve unidades productivas rurales de la cuenca media del río La Vieja, Colomb...

Brain-computer interface (BCI) technology provides objective and quantitative biological assessment methods for the rehabilitation assessment of patients with neurological dysfunction by acquiring and decoding neural act...

User populations in modern recommendation systems consist of diverse communities with distinct and often non-overlapping preferences. However, most existing models, such as traditional Variational Autoencoders (VAEs), op...