A5077610005- Neural Networks and Applications
- Stock Market Forecasting Methods
- Energy Load and Power Forecasting
- Fuzzy Logic and Control Systems
- Smart Grid Energy Management
- Metaheuristic Optimization Algorithms Research
- Market Dynamics and Volatility
- Forecasting Techniques and Applications
- Complex Systems and Time Series Analysis
- Electric Power System Optimization
- Fault Detection and Control Systems
- Time Series Analysis and Forecasting
- Business, Innovation, and Economy
- Academic integrity and plagiarism
- Business, Education, Mathematics Research
- Financial Risk and Volatility Modeling
- Social Robot Interaction and HRI
- Evolutionary Algorithms and Applications
- Energy Efficiency and Management
- Artificial Intelligence in Healthcare and Education
- Agricultural and Food Production Studies
- Reinforcement Learning in Robotics
- Topic Modeling
- Educational Research and Science Teaching
- Flexible and Reconfigurable Manufacturing Systems
Universidad Nacional de Colombia
2014-2025
University of Chile
2005-2024
Linnaeus University
2024
Universidad de Santiago de Chile
2024
Complex Engineering System Institute
2023
Universidad de Antioquia
2023
Helmholtz Zentrum München
2021
Purdue University West Lafayette
2007-2020
Instituto Nacional de Investigaciones Agropecuarias
2019
Pro Persona
2017
Multimodal medical data fusion has emerged as a transformative approach in smart healthcare, enabling comprehensive understanding of patient health and personalized treatment plans. In this paper, journey from to information knowledge wisdom (DIKW) is explored through multimodal for healthcare. We present review focused on the integration various modalities. The explores different approaches such feature selection, rule-based systems, machine ;earning, deep learning, natural language...
ChatGPT is a versatile conversational Artificial Intelligence model that responds to user input prompts, with applications in academia and various sectors. However, crafting effective prompts can be challenging, leading potentially inaccurate or contextually inappropriate responses, emphasizing the importance of prompt engineering achieving accurate outcomes across different domains. This study aims address this void by introducing methodology for optimizing interactions language models,...
Retail analytics has become a cornerstone of modern retail strategy, fueled by rapid technological innovations and the digital transformation traditional environments. This paper reviews 563 documents indexed in Scopus, critically evaluating current trends emerging challenges analytics. The analysis is structured around four key dimensions: artificial intelligence machine learning, big data analytics, data-driven retail, decision-making. By synthesizing literature, this study identifies...
<sec> <title>BACKGROUND</title> Background: The accelerated aging process in Latin American countries, along with the lack of effective public health strategies to control risk factors, has led an increased prevalence non-communicable diseases (NCD) like cardiovascular and dementia, raising number older adults living a disability. Mobile (mHealth) applications offer promising opportunities encourage healthy lifestyles bridge implementation gap prevention programs. Currently, there are no...
Risk management in electricity markets is essential for decision making that involve uncertainty. This article researches the dominant themes and research trends risk using descriptive analysis, literature mapping, data mining techniques. The proposed methodology generates clusters within provides a comprehensive view of main authors, journals, publications, as well lines research. results reveal academic production subject increasing focused on financial management, energy resource climate...
This paper describes efficient algorithms that automatically take two or more catalogs of objects with instrumental coordinates and magnitudes matches them. The challenges are the may be only partially overlapping, at a different scale, rotated, even inverted (flipped). object derived from passbands so relative differ. Also, catalog not contain all same to differences in separating close partial overlap between images. Finally, positions subject noise images which they were derived....
We describe a different approach to robotics in which emotions are at center-stage playing much larger role than just that of facilitating emotional expression. Drawing inspiration from work psychology, neuroscience, and ethology, we have developed computational framework captures important aspects processing integrates these with other models perception, attention, motivation, behavior, motor control. followed this control several autonomous agents, including physical robot is capable...
Forecasting of financial time series is an intensive working area for researchers and practitioners. In this study, we analyze 59 articles discuss the progress in analysis using support vector machines. Our main conclusions are: (a) forecasting doing a daily basis studies other scales are scarce; (b) most works devoted to improve parameter estimation process or preprocessing series; (c) work concerned forecast market indexes; (d) general, commonly accepted than machines more accurate...
Selecting outstanding technology stocks for investment is challenging. Specifically, the research of academic purposes not mature enough due to disarray publications and overwhelming informative experience from profit-making websites. Often, some authors entitle stock price prediction as a selection problem; both are just sub-sections portfolio management. Moreover, websites provide numerous potential criteria showing various evaluations simulate monitor market professionally, which...
In the last decade, many artificial intelligence (AI) techniques have been used to solve various problems in sustainable energy (SE). Consequently, an increasing volume of research has devoted this topic, making it difficult for researchers keep abreast its developments. This paper analyzes 18,715 articles—about AI SE—indexed Scopus and published from 2013 2022, which were retrieved selected following a novel iterative methodology. Besides calculating basic bibliometric indicators, we...
Teaching Analytics is an emerging and challenging field of research that can have a great impact on educational design methodologies as well deliveries by teachers to students. In this work, we analyze the most relevant literature subject. Four axes for work were identified: first, integration learning teaching analytics; second, multimodal analysis or data collected devices in real time classroom; third, digital literacy analytics teachers; fourth, planning evaluation activities. Several...
En esta editorial se discuten: el proceso de revisión sistemática literatura (SLR) y método selección del tema. Adicionalmente, presentan ejemplifican las razones para realizar revisiones literatura, caracterizan los tipos preguntas comúnmente usados en una literatura. Desde lo práctico, la justificación necesidad formulación investigación parecen ser tópicos bastante complejos muchos autores. Espero que síntesis ejemplos presentados sirvan orientación nuestros autores escribir mejores
In collaborative e-work over largely distributed organisations it is often necessary to match sets of components or suppliers for better-quality assemblies, contracts. such cases, the importance efficiently and effectively sharing, matching leveraging real-time information demonstrated in e-manufacturing systems via a best-matching protocol (BMP). The developed BMP enables better quicker matches both geometrical (e.g. physical parts) non-geometrical attributes members supply network)....