390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ManchesterGB9 papers
- Queen Mary University of LondonGB5 papers
- Universidade Estadual de Campinas (UNICAMP)BR5 papers
- Universidad Estatal Península de Santa ElenaEC5 papers
- University of RegensburgDE5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Henry Royce InstituteGB4 papers
- Imperial College LondonGB4 papers
- Instituto Venezolano de Investigaciones CientíficasVE4 papers
- Laboratoire de Physique et Chimie ThéoriquesFR4 papers
- Monash UniversityAU4 papers
- Secretaría de Ciencia, Humanidades, Tecnología e InnovaciónMX4 papers
92 papers
"Piecing Data Connections Together Like a Puzzle": Effects of Increasing Task Complexity on the Effectiveness of Data Storytelling Enhanced Visualisations
Mikaela Elizabeth Milesi, Paola Mejia-Domenzain, Laura Brandl +6
The emerging concept of data storytelling (DS) suggests that enhancing visualisations with annotations and narratives can make complex data more insightful than conventional visual…
Regression with Observational Multilayered Network Data
Juan Estrada, Kim Huynh, David Jacho-Chavez +1
A novel method to estimate social effect coefficients in the popular so-called linear-in-means regression model in the Social Sciences is presented here that utilizes non-experimen…
Estimating Social Effects with Randomized and Observational Network Data
TszKin Julian Chan, Juan Estrada, Kim Huynh +3
This paper introduces an innovative approach to identifying and estimating the parameters of interest in the widely recognized linear-in-means regression model under conditions whe…
From Reflection to Repair: A Scoping Review of Dataset Documentation Tools
Pedro Reynolds-Cuéllar, Marisol Wong-Villacres, Adriana Alvarado Garcia +1
Dataset documentation is widely recognized as essential for the responsible development of automated systems. Despite growing efforts to support documentation through different kin…
Multi-encoder ConvNeXt Network with Smooth Attentional Feature Fusion for Multispectral Semantic Segmentation
Leo Thomas Ramos, Angel D. Sappa
This work proposes MeCSAFNet, a multi-branch encoder-decoder architecture for land cover segmentation in multispectral imagery. The model separately processes visible and non-visib…
Assessing engineering wake models against operational data: insights from the Lillgrund wind farm wake steering campaign
Diego Siguenza-Alvarado, Matthew Harrison, Mohammadreza Mohammadi +4
Validating engineering wake models under real-world operational conditions is essential for improving wind farm performance predictions. This study uses a unique dataset from the L…
Industry Members' Perceptions about ABET-based Accreditation: An Exploratory Study in a Developing Country
V. Sanchez Padilla, Albert Espinal, Jennifer M. Case +2
ABET accreditation is an increasingly prominent system of global accreditation of engineering programs, and the assessment requires programs to demonstrate that they meet the needs…
Performance Evaluation of Multimedia Traffic in Cloud Storage Services over Wi-Fi and LTE Networks
Albert Espinal, V. Sanchez Padilla, Yesenia Cevallos
The performance of Dropbox, Google Drive, and OneDrive cloud storage services was evaluated under Wi-Fi and LTE network conditions during multimedia file uploads. Traffic was captu…
IoT-Driven Smart Management in Broiler Farming: Simulation of Remote Sensing and Control Systems
Sandra Coello Suarez, V. Sanchez Padilla, Ronald Ponguillo-Intriago +1
Parameter monitoring and control systems are crucial in the industry as they enable automation processes that improve productivity and resource optimization. These improvements als…
Barriers to Integrating Low-Power IoT in Engineering Education: A Survey of the Literature
V. Sanchez Padilla, Albert Espinal, Jose Cordova-Garcia +1
Low-power Internet of Things (IoT) technologies are becoming increasingly important in engineering education as a tool to help students connect theory to real applications. However…
Generalised fractional Rabi problem
Alexander Lopez, Sébastien Fumeron, Malte Henkel +2
Fractional quantum dynamics provides a natural framework to capture nonlocal temporal behavior and memory effects in quantum systems. In this work, we analyze the physical conseque…
Li-Yorke chaos on fuzzy dynamical systems
Illych Álvarez, Antoni López-Martínez
Given a dynamical system we investigate how several variants of Li-Yorke chaos behave with respect to the extended systems and $(\mathcal{F}…
Dissociation of one-dimensional excitons by static electric field
Adriana García, Alexander López, Jorge Quereda +1
The quantum states of an electron-hole pair in one-dimensional semiconductors under a static electric field are theoretically analyzed using a two-band model with on-site Coulomb i…
Tunable plasmon modes and topological transitions in single- and bilayer semi-Dirac materials
Debasmita Giri, John Schliemann, Rafael Molina +1
We investigate the plasmonic response of single- and bilayer semi-Dirac materials under the influence of a tunable parameter that governs topological transitions via Dirac cone…
Banana Ripeness Level Classification using a Simple CNN Model Trained with Real and Synthetic Datasets
Luis Chuquimarca, Boris Vintimilla, Sergio Velastin
The level of ripeness is essential in determining the quality of bananas. To correctly estimate banana maturity, the metrics of international marketing standards need to be conside…
Bio-heat regimes in fractal-based models of tumors
Sébastien Fumeron, Malte Henkel, Alexander López
Anomalous heat diffusion is investigated for biological tissues displaying a fractal structure and long-term thermal memory, which is modeled via a fractional derivative. For incre…
TeamVision: An AI-powered Learning Analytics System for Supporting Reflection in Team-based Healthcare Simulation
Vanessa Echeverria, Linxuan Zhao, Riordan Alfredo +13
Healthcare simulations help learners develop teamwork and clinical skills in a risk-free setting, promoting reflection on real-world practices through structured debriefs. However,…
Spin polarised quantised transport via one-dimensional nanowire-graphene contacts
Daniel Burrow, Jesus C. Toscano-Figueroa, Victor H. Guarochico-Moreira +4
Graphene spintronics offers a promising route to achieve low power 2D electronics for next generation classical and quantum computation. As device length scales are reduced to the…
A polynomial affine model of gravity: after ten years
Oscar Castillo-Felisola, Bastian Grez, Manuel Morocho-López +4
The polynomial affine model of gravity was proposed as an alternative to metric and metric-affine gravitational models. What at the beginning was thought as a source of unpredictab…
Fruit Deformity Classification through Single-Input and Multi-Input Architectures based on CNN Models using Real and Synthetic Images
Tommy D. Beltran, Raul J. Villao, Luis E. Chuquimarca +2
The present study focuses on detecting the degree of deformity in fruits such as apples, mangoes, and strawberries during the process of inspecting their external quality, employin…
Extending Chaos Theory: The Role of Nonlinearity in Multiple Mappings
Illych Alvarez
This work redefines the framework of chaos in dynamical systems by extending Devaney's definition to multiple mappings, emphasizing the pivotal role of nonlinearity. We propose a n…
A Capacitated Collection-and-Delivery-Point Location Problem with Random Utility Maximizing Customers
David Pinzon Ulloa, Ammar Metnani, Emma Frejinger
We consider a strategic decision-making problem where a logistics provider (LP) seeks to locate collection and delivery points (CDPs) with the objective to reduce total logistics c…
Enhancing Apple's Defect Classification: Insights from Visible Spectrum and Narrow Spectral Band Imaging
Omar Coello, Moisés Coronel, Darío Carpio +2
This study addresses the classification of defects in apples as a crucial measure to mitigate economic losses and optimize the food supply chain. An innovative approach is employed…
Classifying Healthy and Defective Fruits with a Multi-Input Architecture and CNN Models
Luis Chuquimarca, Boris Vintimilla, Sergio Velastin
This study presents an investigation into the utilization of a Multi-Input architecture for the classification of fruits (apples and mangoes) into healthy and defective states, emp…