Jorge Ruiz-Vanoye

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• Dr. in Computer Science
• Senior Researcher at Universidad Politécnica de Pachuca

In this paper, we show the functional similarities between Meta-heuristics and the aspects of the science of life (biology): (a) Meta-heuristics based on gene transfer: Genetic algorithms (natural evolution of genes in an organic population), Transgenic Algorithm (transfers of genetic material to another cell that is not descending); (b) Meta-heuri...

The futurnoe of aquaculture is related to smart cities. The use of the Internet of Things on sustainable aquaculture systems will enable the optimization of water, energy, personnel, money, time, and food. The topics related to aquaculture and smart cities could be the Internet of Things in sustainable aquaculture systems, real-time monitoring of w...

Smart Education is the influence of diverse technologies (Combinatorial Optimization, Machine Learning, Big Data, data visualisation, Internet of Education Things, Learning analytics, and others) to enhance the quality of education. In other words, Smart Education is the process of optimally managing human, economic and technological resources from...

Artificial Intelligence (AI), in particular Machine Learning (ML), is being used to revolutionize battery Research and Development (R&D). With AI, complex and multivariable aspects of battery performance, life cycle, safety, cost, environmental effects and resource management are addressed through data management, as demonstrated by organizations s...

The impact of machine learning over the years has helped us make many daily tasks easier, which is why it has gained significant global relevance. One of the main issues addressed by technology and machine learning is public health, as various types of outbreaks can cause different kinds of epidemics. With the necessary technology, it becomes easie...

The integration of intelligent agents in education is transforming traditional teaching and learning models, driving the shift toward personalised learning in the 21st century. By utilising AI, machine learning, and data-driven technologies, these agents tailor educational experiences to individual student needs, boosting engagement and improving l...

Smart Education represents a transformative approach to teaching and learning, leveraging advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data analytics, and adaptive learning systems. This chapter explores the foundational principles of Smart Education, highlighting its potential to personalise learnin...

This chapter examines how these disciplines are transforming agriculture through the implementation of advanced techniques that enable farmers to address complex challenges and improve their operations. Artificial Intelligence offers solutions that automate and optimise agricultural processes, from planting to harvesting, facilitating data-driven d...

The increasing global demand for water, compounded by the challenges posed by climate change, urbanisation, and population growth, necessitates the adoption of innovative solutions for water management. Smart Water technologies, which encompass the integration of advanced sensors, data analysis, and automated systems, offer a promising approach to...

This article presents a combination of tools to determine if a city could be considered Smart Water City. Smart Water cities are those that use advanced technologies and innovative solutions to improve water management and ensure the long-term sustainability of water supplies. This includes optimizing water use, reducing water losses, treating, and...

This paper examines the role of Artificial Intelligence in enhancing human well-being across domains such as healthcare, mental health, and education. A key contribution is the introduction of synthetic happiness-a form of well-being facilitated or enhanced by AI rather than naturally occurring processes. By reviewing current advancements, the stud...

The concept of Quality of Aquaculture Services (QoAS) is inspired by the Quality of Service (QoS) principle, originally developed in the field of networks and telecommunications, where it refers to the ability to guarantee the quality, availability, and priority of service in a communications system. Adapted to the aquaculture context, QoAS is fund...

This paper aims to adapt and apply genetic distance metrics in biomedical signal processing to improve the classification and monitoring of neurological disorders, specifically Alzheimer’s disease and frontotemporal dementia. The primary objectives are: (1) to quantify the variability in EEG signal patterns among the distinct subtypes of neurodegen...

The rapid development in neurotechnology has significantly advanced our ability to understand and manipulate brain functions. However, these advancements have raised critical concerns regarding the security and privacy of brain data. This paper aims to explore the multifaceted issues surrounding the protection of brain data, focusing on neurosecuri...

A smart city is a city that uses the optimum management of water, city technology, energy, mobility, public transportation, distribution of transport routes, road network safety management, the construction of homes / offices / transportation structure, industry / jobs, education, healthcare, public safety, government, civil protection, food, envir...

Industrial robots, both in manufacturing and non-manufacturing sectors, are evolving rapidly, driven by advancements in artificial intelligence (AI). This paper presents a comprehensive survey of industrial robots, framed through the lens of Howard Gardner’s theory of multiple intelligences. By categorising various AI capabilities in industrial rob...

The lack of attention to emergency alerts in road accidents in a timely manner may be due to the lack of management of resources or the lack of communication between hospital and patrol departments. The purpose of this research is to reduce the management time to provide attention to requests on highways. An alert and resource management process is...

Cluster of Vulnerable Municipalities in Mexico to facilitate the Creation of Coordination Mechanisms in the Humanitarian Responses through Machine Learning Techniques. Coordination among actors in the supply chain is essential for ensuring a well-organized, efficient, and effective response to humanitarian crises, ultimately leading to better outco...

Below is the development of an algorithm that allows generating 3D models from 2D images for analysis and visualization, with an application focused on images from the health and space sectors, domains chosen for their contrast characteristics. The characteristics used in the project are presented and determined, as well as 3D programming and visua...

The use of computational tools to solve real problems of different industries has been in increased significantly. Software is used to solve problems of the air, sea, ground, pipes, and aerospace transportation planning; problems related to the science of sport, chemistry, medicine, nursing, mechatronics, robotics; business problems related to mini...

NP2025: Postgraduate Contributions to the National Postgraduate System International Journal of Combinatorial Optimization Problems and Informatics, Special Edition January-April 2025 Web of Science Core Collection: Emerging Sources Citation Index Mexican Science and Technology Journal Classification System: CRMCYT . Editor: Dr. Jorge A. Ruiz-Van...

Hypertensive disorders in pregnancy, which include preeclampsia, eclampsia, and chronic hypertension, complicate approximately 10% of all pregnancies in the world, constituting one of the most serious causes of mortality and morbidity in gestation. To help predict the occurrence of hypertensive disorders, a study based on algorithms that help model...

This paper presents the Global Football Excellence Index (GFEI), an innovative framework for assessing the performance of footballers in the competition for the Ballon d'Or and other international awards, based on quantitative performance indicators.

Depression is a disorder that usually begins in early adulthood, having a duration according to the World Health Organization (WHO) from a couple of months to a couple of years, however, in approximately 20% of cases there is a chronic evolution that results in a high mortality rate by suicide due to lack of adequate treatment. Therefore, the objec...

This paper explores the innovative application of Quality of Service (QoS) principles, traditionally rooted in network and telecommunications, across various sectors to enhance the achievement of the United Nations Sustainable Development Goals (SDGs). By establishing a parallel between QoS in technological systems and sectors such as healthcare, e...

Cardiovascular diseases (CVD) are one of the leading causes of mortality worldwide. In this context, the design of accurate and efficient methods for the automated classification of electrocardiogram (ECG) signals is essential for clinical diagnosis, particularly in the detection of cardiac arrhythmias. The main objective of this project is to deve...

This paper presents a comprehensive state-of-the-art analysis and mathematical modeling of the National Program for Smart Cities (PRONACES) initiatives in Mexico's journey towards smart city development. The focus is on examining how PRONACES integrates technological innovation with urban planning and sustainability, leveraging mathematical models...

Several technologies are available to help citizens, and government officials perform their daily activities in a city. The current state-of-the-art technologies to help citizens and government officials exist wireless sensor networks, RFDI technology, combinatorial optimisation, machine learning, big data, data visualisation, internet of governmen...

Humans have always sought a place for safe living with the comforts and facilities to do decent work and for the family's healthy growth. This chapter aims to guide understanding smart and sustainable cities by presenting a survey of chronological aspects, elements and components of smart cities, smart cities' indicators, solutions to city problems...

The tourist cities apply technologies to strengthen and facilitate the communication of the tourists with the sporting, cultural, scientific and other aspects of a city. Smart tourism is the innovation and the adoption of information and communication technologies in tourism. The Smart white cane gives smart tourism to Blind people. The smart white...

The Air quality measurement is reported as micrograms per cubic meter or parts per million. In this article, we proposed a survey of the complexity on Fuzzy Logic for air quality. The traditional air quality assessment is estimated using air quality indices as mean values of selected air pollutants, where the ambient environment has given limits wi...

This article aims to present a new problem of planning of resources and activities related to soccer, which is a variant of the Project Scheduling Problem. Soccer projects are intended to meet the requirements and expectations of time, cost and quality of the processes of the Soccer-related activities. In this article, original and unique in the wo...

In the world it is very important to have the vital resource called water. Water is very important for all aspects of human life, ranging from the water needed for food to the water needed to improve our body'simmune system. Water smart cities are those that use advanced technologies and innovative solutions to improve water management and ensure t...

A safe city is the idea that a community uses technology to help government, communities and businesses reduce the likelihood of crime and provide an environment where the population feels safe and comfortable.

Smart farming is the production of food from agriculture, livestock, and fisheries with technology to optimize water, energy, personnel, infrastructure, money, time, and food. In other words, smart farming is the optimal administration of the sowing, harvesting, and distribution of products derived from agriculture, livestock, and fisheries. This p...

The potential use of edge computing encompasses industries such as transportation, healthcare, manufacturing, agriculture, smart farms, and energy, among others. This chapter aims to be a guide for understanding edge computing by presenting the foundations, characteristics, history, taxonomy applications, and future trends.

La aproximación por polinomios trigonométricos generalizados para funciones de Lipschitz, definidas en ciertos grupos depende de algunas propiedades de la métrica definida en el grupo. Métricas donde esta aproximación es posible son llamadas Lipschitz compatibles. En este trabajo damos para cierta clase de grupos, condiciones donde las métricas Lip...

This document explains an exploration of data from the WHO and the ECDC to foretell the behavior of infections by COVID-19, a disease caused by the SARS-COV2 coronavirus. Different approaches were made to conclude that the logistic function and the regression equation generate forecasts with a good approximation. On the other hand, a multi-criteria...

Inmenio (innovación, mente e ingenio). Revista de divulgación de la Universidad Politécnica de Pachuca. 18 de diciembre de 2020. pp. 9-10 https://issuu.com/inmenio/docs/inmenio_18_vfinal

https://www.milenio.com/opinion/varios-autores/ciencia-tecnologia/cerebro-conectado-al-internet-y-neuroderechos

P versus NP is an unsolved problem in mathematics and computational complexity. In this paper, we use the formal language theory to the computational complexity to analyze P versus NP problem from a new point of view. P versus NP problem is to determine whether some deterministic algorithm also accepts every language accepted by some nondeterminist...

The measurement of liquid fuel in automotive vehicles, is critical to prevent malfunctions or mayor failures, predict travel autonomy, ignition engine efficiency and fuel economy. In this paper we introduce a novel system to measure the level of fuel in automotive tanks. The design of a sensor for measuring the volume of fuel level based on infra-r...

predict travel autonomy, ignition engine efficiency and fuel economy. In this paper we introduce a novel system to measure the level of fuel in automotive tanks. The design of a sensor for measuring the volume of fuel level based on infra-red light emitter-receiver is illustrated. The dynamics volume on fuel in cars tank, can be represented with th...

In this work, we present beginnings of a methodology that allows the establishment of relationships between the location of the facilities and the clients’ allocation with a dense demand. The use of this application lets us know the optimal location of production facilities, warehouses or distribution centers in a geographical space. We also solve...

The use of electric vehicles (cars, motorcycles, scooters, trucks, buses) in the cities is an essential component so that cities can be considered smart cities. In this paper, we propose a mathematical model for the Electric School Bus Routing Problem which aims to minimise costs and optimise transportation times and cost of the students. We propos...

El cambio climático en el planeta ha afectado la producción mundial de trigo. En este sentido, los pronósticos aseguran que estos cambios y efectos serán mayores conforme pase el tiempo. Considerando la importancia de este cereal como alimento de la dieta básica de los seres humanos, se propone una nueva forma de evaluación del cultivo que permita...

En este trabajo definimos y simulamos procesos en una compañía que presta servicios de tecnología de la información con el propósito de mejorar la atención y las funciones definidas en cada proceso. Analizamos diversos trabajos con respecto a la gestión de procesos de negocios y simulación. Para nuestro modelo de desarrollo, diseñamos una metodolog...

Only the main page from the app on the store.

The smart transportation of farming must carry food from agriculture, livestock, and fisheries from one location to another using diverse types of transportation modes to improve the wellbeing of citizens. The mathematical optimization model proposed in this chapter represents the problem of transportation of perishable products which aims to minim...

The robots are designed to help with difficult tasks for the human being, currently carried out activities that were a main feature of the human how to perform surgeries, injections, run musical instruments among others. This paper aims to highlight the Musical Artificial Intelligent and the history of the Musicians Robots.

High levels of consumption of electrical and electronic equipment, together with the decline of their useful time of life (obsolescence), has led to a progressive growth in the generation of Waste Electrical and Electronic Equipment (WEEE), also known as e-waste. The problems involving inadequate management of these are reflected mainly in the nega...

International Journal of Combinatorial Optimization Problems and Informatics

La contaminación del aire representa un importante riesgo medioambiental para la salud. Mediante una evaluación de 2013 realizada por la Centro Internacional de Investigaciones sobre el Cáncer de la OMS determinó que la contaminación del aire exterior es carcinógena para el ser humano, y que las partículas del aire contaminado están estrechamente r...

The Project Scheduling Problem (PSP) is a generic name given to a whole class of problems in which the best form, time, resources and costs for project scheduling are necessary. The PSP is an application area related to the project management. This paper aims at being a guide to understand PSP by presenting a survey of the general parameters of PSP...

This paper proposes a new criterion for reducing the processing time of the assignment of data points to clusters for algorithms of the k-means family, when they are applied to instances where the number n of points is large. Our criterion allows a point to be classified in an early stage, excluding it from distance calculations to cluster centroid...

This paper aims at being a guide to understanding the different types of optimization problems of the Water Distribution Network by presenting a survey of mathematical models and algorithms used to solve the variants of the Water Distribution Networks. Some problems are Water Resource Planning, Water Quality Management, Water Supply Networks, Water...

Direct manipulation interfaces have had great success largely because they are basedon analogies with existing human skills (seizing, moving objects in space), rather than trained behaviors.

En este artículo se propone un sistema de monitoreo y control para recargar baterías. Se analiza el comportamiento del proceso de carga de las baterías recargables y de los parámetros involucrados. Se propone un algoritmo para determinar el estado de carga y realizar la recarga de forma suave. La carga de la batería se puede monitorear a través de...

Presentación

Big Data Analytics se refiere al almacenamiento, administración y análisis de grandes volúmenes de datos a través de métodos estadísticos o científicos para descubrir relaciones entre los datos. Recientemente se ha aplicado al campo de la salud, pero, ¿Qué tecnologías de big data aplicar a campos específicos en salud? El presente trabajo identifica...

El clima espacial afecta a las actividades en la Tierra, como las telecomunicaciones (satélites que controlan los teléfonos, el internet y la televisión), la red eléctrica y las plantas petroquímicas, la navegación aérea y los sistemas de posicionamiento, el clima terrestre, e incluso la salud de los seres vivos.

This paper aims at being a guide to understand the Farm Production Management (FPM) implementing a new paradigm based on CPLEX method with Project Scheduling Problem (PSP) as an integration of Artificial Intelligence with Project Management. In this proposal we design a mathematical model to represent FPM and the objective function oriented to mini...

The Oil Platform Transport Problem is considered as a combination/interlink of the two well-studied NP-Hard/NP-Complete problems: the Helicopter Routing Problem-HRP (a generalization of the Split Delivery Vehicle Routing Problem) and the one-dimensional Bin Packing Problem (BPP-1). The Oil Platform Transport Problem consist of to minimize the cost...

The soccer players always have sought to improve its performance. There are methodologies, diets, and an excellent coach to improve the soccer skills. In this paper, we propose the use of metrics or statistical indicators for improving the soccer performance. Additionally we take into consideration the rating of the individual errors with negative...

Clustering is one of the most successful techniques for territorial design, location-allocation problems etc. In this type of problems, the parameters are usually optimized by means of a single objective. However, real applications are far from being solved without the application of multi-objective approaches. In this paper we present a bi-objecti...

Big data analytics is a technology that includes the storage, administration and analysis of large volumes of data, its application in the field of health has been recent. This paper focuses on a proposal for analysis of three-phase documents: diagnosis, analysis and evaluation. The proposal forms part of a thesis work under development, which has...

The advancement of technology favors the generation and increase of large volumes of information that exceed the cognitive and perceptual capacities of the people, creating the need to find new ways to represent this information under new schemes that summarize and present it in a more understandable and friendly way. The present research seeks to...

En este libro se encuentra una recopilación de información relacionada con la Bio-Medicina tradicional. Se encuentran diversas plantas que se usan tradicionalmente por la gente para minimizar los síntomas de algunas enfermedades. Adicionalmente se cuenta con un capítulo relacionado con la Mariguana Tradicional.

La contaminación del aire representa un importante riesgo medioambiental para la salud. Mediante una evaluación de 2013 realizada por la Centro Internacional de Investigaciones sobre el Cáncer de la OMS determinó que la contaminación del aire exterior es carcinógena para el ser humano, y que las partículas del aire contaminado están estrechamente r...

Un sincrotrón es un acelerador de partículas, principalmente electrones, destinado a observar estructuras moleculares como si fuera un gran microscopio. El sincrotrón pertenece al grupo de aceleradores de partículas, por ejemplo, los viejos televisores, hornos de microondas, el acelerador de hadrones y las máquinas de rayos x.

El desarrollo de software más seguro para algunas organizaciones no es fácil. En el software pueden existir errores en la programación que puede causar problemas en la seguridad del desarrollo de software. La mayoría del software desarrollado en el mundo usando las diversas metodologías clásicas de desarrollo de software. Existen diversas metodolog...

Recomendaciones para la redacción de artículos de calidad internacional.

Según la OCDE (Organización para la Cooperación y el Desarrollo Económico), la evaluación PISA (Programa para la evaluación internacional de los alumnos) 2012, refleja que los alumnos mexicanos, estudian más y aprenden menos, esto significa que invierten más horas en el aula y en casa y a pesar de eso no se obtienen mejores resultados cuando son ev...

El trabajo de investigación se desarrolla a lo largo de determinar las necesidades de tecnologías de información y comunicaciones (TIC) en las Pymes de los municipios de Actopan, Atitalaquia e Ixmiquilpan, mostrando lo importante de dicho trabajo en la introducción del artículo, la forma en cómo se plantea el problema al que se enfrentan día a día...

Mexico, as an emerging economy, requires maximizing the results obtained by investing in development projects. One of the promoters of these investments is the National Council of Science and Technology (CONACYT). The projects are well intentioned but not always successfully concluded, especially inadequate planning of its resources, causing delays...

Spanish Todos los derechos reservados. Ninguna parte de este libro puede ser reproducida, almacenada en sistema alguno, o transmitido en cualquier forma, o por medio electrónico, mecánico, fotocopia, grabación con fines de comercialización sin la autorización expresa de la Editorial y/o los autores. El contenido de los trabajos es responsabilidad e...

Spanish Todos los derechos reservados. Ninguna parte de este libro puede ser reproducida, almacenada en sistema alguno, o transmitido en cualquier forma, o por medio electrónico, mecánico, fotocopia, grabación con fines de comercialización sin la autorización expresa de la Editorial y/o los autores. El contenido de los trabajos es responsabilidad e...

The analytical observation of nature induces inspiration to propose new computational paradigms to create algorithms that solve optimization and artificial intelligence problems. The artificial vision allows establishing a problem with intelligent techniques from living systems. The bioinspired systems are presented as a set of models that are base...

Este libro de divulgación contiene temas relacionados con las BioCiencias: Biotecnología, BioEconomía, y la BioInnovación.

This Divulgation Book is a literary journey through time by the places and characters that made scientific and technological contributions that changed the world. There are 5 thematic trips to areas such as science and technology, transport, medicine, home and weather, telecommunications and computing.

En la presente investigación se presenta una aproximación introductora a la tecnología de interfaz de cómpu- to cerebral. La cual permitirá mediante la lectura de la señal del cerebro controlar diversos dispositivos, tales como: vehículos, robots, y aparatos del hogar. Adicionalmente se explican los dos tipos de mecanismos para la extracción de la...

In this paper, we present a computational solution for a problem that affect the living conditions of the public service (School Bus Routing Problem), and we are defining the actions needed to optimize the resources of the transportation problem for the benefits of the Mexican population. Optimize the routes of public transport has many advantages,...

This paper addresses the problem of clustering instances with a high number of dimensions. In particular, a new heuristic for reducing the complexity of the K-means algorithm is proposed. Traditionally, there are two approaches that deal with the clustering of instances with high dimensionality. The first executes a preprocessing step to remove tho...

In this paper we present a factorial statistical experiment for a combinatorial optimization problem bi-objective, which optimizes two functions in conflict: geometric compactness and homogeneity to variables of a population problem, it belongs to the area of design territory. Such problems invests its utmost in the biobjetivo grouping to build gro...

The bioinspired systems are presented as a set of models that are based on the behavior of some biological systems and how act. These models can be expressed in data mining and operations research where clustering is a recurrent technique used to solve the P-median and territorial design problems. At this point, we have solved the P-median problem...