Listar Artículos (DCI) por fecha de publicación
Mostrando ítems 21-40 de 72
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PISIoT: A Machine Learning and IoT-Based Smart Health Platform for Overweight and Obesity Control
(MDPI Publishing, 2019-07-28)Overweight and obesity are affecting productivity and quality of life worldwide. The Internet of Things (IoT) makes it possible to interconnect, detect, identify, and process data between objects or services to fulfill a ... -
A Model for Naturalistic Programming with Implementation
(MDPI, 2019-09-19)While the use of natural language for software development has been proposed since the 1960s, it was limited by the inherent ambiguity of natural languages, which people resolve using reasoning in a text or conversation. ... -
An Agent-Based Model Driven Decision Support System for Reactive Aggregate Production Scheduling in the Green Coffee Supply Chain
(MDPI, 2019-11-15)The aim of this paper is to contribute to the thread of research regarding the need for logistic systems for planning and scheduling/rescheduling within the agro-industry. To this end, an agent-based model driven decision ... -
Green Supplier Selection in the Agro-Food Industry with Contract Farming: A Multi-Objective Optimization Approach
(MDPI, 2019-12-09)An important contribution to the environmental impact of agro-food supply chains is related to the agricultural technology and practices used in the fields during raw material production. This problem can be framed from ... -
Effect of spray-drying conditions on moisture content and particle size of coffee extract in a prototype dryer
(RMIQ, 2020-01-19)In this work, the effect of spray drying conditions on the moisture content and particle size of coffee extract was studied. The factors investigated were the inlet temperature (150 to 220 °C), air flow (537 to 691 kg·h−1 ... -
HEMS-IoT: A Big Data and Machine Learning-Based Smart Home System for Energy Saving
(2020-02-27)Energy efficiency has aroused great interest in research worldwide, because energy consumptionhasincreasedinrecentyears,especiallyintheresidentialsector. Theadvancesinenergy conversion, along with new forms of communication, ... -
Wheat germ, mamey seed, walnut, coconut, and linseed oil thermal characterization using photothermal techniques
(Revista Mexicana de Física, 2020-03)The cosmetic industry has turned its attention to using vegetable products; the number of different vegetable oils used in the cosmetic industry has risen in the last years. Therefore, there are opportunities for development ... -
FRAGMENT: A Web Application for Database Fragmentation, Allocation and Replication Over a Cloud Environment
(IEEE, 2020-05-25)Fragmentation, allocation and replication are techniques widely used in relational databases to improve the performance of operations and reduce their cost in distributed environments. This article shows an analysis of ... -
Naturalistic Programming: Model and Implementation
(IEEE Latin America Transactions, 2020-07)Naturalistic programming is defined as a programming technique that uses abstractions whose expressiveness is close to natural languages. The objective is preserving as much as possible the needs of the client in their ... -
Effects of ornamental plant density and mineral/plastic media on the removal of domestic wasteater pollutants by home wetlands technology
(MDPI, 2020-11-12)Wastewater treatment (WWT) is a priority around the world; conventional treatments are not widely used in rural areas owing to the high operating and maintenance costs. In Mexico, for instance, only 40% of wastewater is ... -
Bioenergy potential from agroindustrial wastes of the state of Veracruz
(Asociación Latinoamericana de Desarrollo Sustentable y Energías Renovables A. C., 2020-11-14)The use of fossil fuels is losing versus the use renewable energy sources such as biomass and biogas, due to the environmental impacts that they generate. In Mexico, Veracruz has an area of 7.24 x 106 hectares, representing ... -
Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review
(MDPI Publishing, 2020-11-30)Fragmentation is a design technique widely used in multimedia databases, because it produces substantial benefits in reducing response times, causing lower execution costs in each operation performed. Multimedia databases ... -
Towards Association Rule-based Item Selection Strategy in Computerized Adaptive Testing
(CEIPA, 2020-12-07)One of the most important stages of Computerized Adaptive Testing is the selection of items, in which various methods are used, which have certain weaknesses at the time of implementation. Therefore, in this paper, it is ... -
Comparative Analysis of Decision Tree Algorithms for Data Warehouse Fragmentation
(CEIPA, 2020-12-07)One of the main problems faced by Data Warehouse designers is fragmentation. Several studies have proposed data mining-based horizontal fragmentation methods. However, not exists a horizontal fragmentation technique that ... -
Discovery of Resident Behavior Patterns Using Machine Learning Techniques and IoT Paradigm
(MDPI Publishing, 2021-01-22): In recent years, technological paradigms such as Internet of Things (IoT) and machine learning have become very important due to the benefit that their application represents in various areas of knowledge. It is interesting ... -
Knowledge Intensive Software Engineering Applications
(Journal of Universal Computer Science, 2021-02-28)The use of Information and Communication Technologies (ICTs) has become a competitive strategy that allows organizations to position themselves within their market of action. In addition, the evolution, advancement and use ... -
Batch and Semi-Continuous Anaerobic Digestion of Industrial Solid Citrus Waste for the Production of Bioenergy
(MDPI, 2021-04-08)The aim of this paper is to describe a study of the anaerobic digestion of industrial citrus solid waste (ISCW) in both batch and semi-continuous modes for the production of bioenergy without the elimination of D-limonene. ... -
Effect of Sunflower, Almond, and Rapeseed Oils as Additives on Thermal Properties of a Machinery Oil
(MDPI, 2021-08-13)Vegetable oils are considered to be eco-friendly and to offer good lubricant properties; however, their low thermo-oxidative stability makes their use as a lubricant base challenging. In this research, sunflower, almond, ... -
Identifying the Main Risk Factors for Cardiovascular Diseases Prediction Using Machine Learning Algorithms
(MDPI, 2021-10-09)Las enfermedades cardiovasculares (ECV) son una de las principales causas de muerte en el mundo. En las ECV, el corazón es incapaz de llevar suficiente sangre a otras regiones del cuerpo. Dado que un diagnóstico eficaz y ... -
An Agent-Based Model-Driven Decision Support System for Assessment of Agricultural Vulnerability of Sugarcane Facing Climatic Change
(MDPI, 2021-11-28)In recent years, there have been significant changes in weather patterns, mainly caused by sharp increases in temperature, increases in carbon dioxide, and fluctuations in precipitation levels, negatively impacting ...
