José García‐Rodríguez
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View article: A simple AI-driven process intensification protocol for active pharmaceutical ingredients synthesis
A simple AI-driven process intensification protocol for active pharmaceutical ingredients synthesis Open
View article: Enhancing Robotics Education Through XR Simulation: Insights from the X-RAPT Training Framework
Enhancing Robotics Education Through XR Simulation: Insights from the X-RAPT Training Framework Open
Extended reality (XR) technologies are gaining traction in technical education due to their potential for creating immersive and interactive training environments. This study presents the development and empirical evaluation of X-RAPT, a c…
View article: CogniAlign: Word-level multimodal speech alignment with gated cross-attention for Alzheimer’s detection
CogniAlign: Word-level multimodal speech alignment with gated cross-attention for Alzheimer’s detection Open
Early detection of cognitive disorders such as Alzheimer's disease is critical for enabling timely clinical intervention and improving patient outcomes. In this work, we introduce CogniAlign, a multimodal architecture for Alzheimer's detec…
View article: Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos
Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos Open
The current biodiversity loss crisis makes animal monitoring a relevant field of study. In light of this, data collected through monitoring can provide essential insights, and information for decision-making aimed at preserving global biod…
View article: A Federated Learning Architecture for Bird Species Classification in Wetlands
A Federated Learning Architecture for Bird Species Classification in Wetlands Open
Federated learning allows models to be trained on edge devices with local data, eliminating the need to share data with a central server. This significantly reduces the amount of data transferred from edge devices to central servers, which…
View article: Clinical and immunopathological evaluation and its comparison with IHC consensus molecular subtypes of colorectal cancer
Clinical and immunopathological evaluation and its comparison with IHC consensus molecular subtypes of colorectal cancer Open
This study examined the prognostic significance of immunoscore within consensus molecular subtypes (CMS), tumour budding (TB), and macrophage infiltration in colorectal cancer (CRC). A retrospective series was analysed using immunohistoche…
View article: A Socio-Technical Approach to Load Forecasting for Super Smart Grids. A Multi-domain Attention-Based Neural Network
A Socio-Technical Approach to Load Forecasting for Super Smart Grids. A Multi-domain Attention-Based Neural Network Open
Super Smart Grids aim to provide large-scale, multi-zonal electricity access while dynamically balancing supply and demand. However, their implementation faces multidisciplinary challenges that range from ensuring grid stability to avoidin…
View article: Transforming Robots into Cobots: A Sustainable Approach to Industrial Automation
Transforming Robots into Cobots: A Sustainable Approach to Industrial Automation Open
The growing need for sustainable and flexible automation solutions has led to the exploration of transforming traditional industrial robots into collaborative robots (cobots). This paper presents a framework for the conversion of conventio…
View article: CogniAlign: Word-Level Multimodal Speech Alignment with Gated Cross-Attention for Alzheimer's Detection
CogniAlign: Word-Level Multimodal Speech Alignment with Gated Cross-Attention for Alzheimer's Detection Open
Early detection of cognitive disorders such as Alzheimer's disease is critical for enabling timely clinical intervention and improving patient outcomes. In this work, we introduce CogniAlign, a multimodal architecture for Alzheimer's detec…
View article: Integrating Virtual Reality into Welding Training: An Industry 5.0 Approach
Integrating Virtual Reality into Welding Training: An Industry 5.0 Approach Open
In the context of Industry 5.0, Virtual Reality (VR) is transforming workforce training by enhancing skill acquisition and smart assistance to improve safety, among other things. This study presents a VR-based welding training simulator, d…
View article: Unrealgensyn: a framework for generating synthetic videos of Unfrequent human events
Unrealgensyn: a framework for generating synthetic videos of Unfrequent human events Open
Humans engage in a multitude of actions, some of which are rare but essential for data collection. Synthetic generation techniques are particularly effective in these scenarios, enriching the data for such uncommon actions. To address this…
View article: Expression of Fascin and DNA Topoisomerase 2-Alpha in Breast Carcinoma: Correlation with Histological Subtypes and Other Prognostic Markers
Expression of Fascin and DNA Topoisomerase 2-Alpha in Breast Carcinoma: Correlation with Histological Subtypes and Other Prognostic Markers Open
Background/Objectives: Breast cancer is the most prevalent cancer in adult women. Currently, new therapies and protein determinations with prognostic value are under development. Fascin (encoded by the FSCN1 gene) is an actin-binding prote…
View article: International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery
International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery Open
View article: A Comprehensive Review of AI-Based Digital Twin Applications in Manufacturing: Integration Across Operator, Product, and Process Dimensions
A Comprehensive Review of AI-Based Digital Twin Applications in Manufacturing: Integration Across Operator, Product, and Process Dimensions Open
Digital twins (DTs) represent a transformative technology in manufacturing, facilitating significant advancements in monitoring, simulation, and optimization. This paper offers an extensive bibliographic review of AI-Based DT applications,…
View article: Optimizing IoT Video Data: Dimensionality Reduction for Efficient Deep Learning on Edge Computing
Optimizing IoT Video Data: Dimensionality Reduction for Efficient Deep Learning on Edge Computing Open
The rapid loss of biodiversity significantly impacts birds’ environments and behaviors, highlighting the importance of analyzing bird behavior for ecological insights. With the growing adoption of Machine Learning (ML) algorithms in the In…
View article: Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos
Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos Open
The current biodiversity loss crisis makes animal monitoring a relevant field of study. In light of this, data collected through monitoring can provide essential insights, and information for decision-making aimed at preserving global biod…
View article: A simple AI-Driven Process Intensification Protocol for Active Pharmaceutical Ingredients Synthesis
A simple AI-Driven Process Intensification Protocol for Active Pharmaceutical Ingredients Synthesis Open
View article: Detecting Facial Image Manipulations with Multi-Layer CNN Models
Detecting Facial Image Manipulations with Multi-Layer CNN Models Open
The rapid evolution of digital image manipulation techniques poses significant challenges for content verification, with models such as stable diffusion and mid-journey producing highly realistic, yet synthetic, images that can deceive hum…
View article: Integrating advanced vision-language models for context recognition in risks assessment
Integrating advanced vision-language models for context recognition in risks assessment Open
View article: Holo4Care: a MR framework for assisting in activities of daily living by context-aware action recognition
Holo4Care: a MR framework for assisting in activities of daily living by context-aware action recognition Open
View article: Bird Action Recognition in Wetlands using Deep Learning
Bird Action Recognition in Wetlands using Deep Learning Open
The current decline in bird species and protected natural areas highlights the importance of providing solutions to improve the understanding of bird biodiversity and its interaction with its environment. This study focuses on the developm…
View article: Advancing Off-Road Operations: Comparative Assessment of Object Detection Methodologies
Advancing Off-Road Operations: Comparative Assessment of Object Detection Methodologies Open
Off-road operations such as search and rescue or goods delivery in remote wilderness environments demand efficient and effective strategies to locate individuals. Traditional Search and Rescue (SAR) methods, such as canine units and human-…
View article: A Video Mosaicing-Based Sensing Method for Chicken Behavior Recognition on Edge Computing Devices
A Video Mosaicing-Based Sensing Method for Chicken Behavior Recognition on Edge Computing Devices Open
Chicken behavior recognition is crucial for a number of reasons, including promoting animal welfare, ensuring the early detection of health issues, optimizing farm management practices, and contributing to more sustainable and ethical poul…
View article: Automated Generation of Clinical Reports Using Sensing Technologies with Deep Learning Techniques
Automated Generation of Clinical Reports Using Sensing Technologies with Deep Learning Techniques Open
This study presents a pioneering approach that leverages advanced sensing technologies and data processing techniques to enhance the process of clinical documentation generation during medical consultations. By employing sophisticated sens…
View article: in2IN: Leveraging individual Information to Generate Human INteractions
in2IN: Leveraging individual Information to Generate Human INteractions Open
Generating human-human motion interactions conditioned on textual descriptions is a very useful application in many areas such as robotics, gaming, animation, and the metaverse. Alongside this utility also comes a great difficulty in model…
View article: Enhancing Point Cloud Resolution for Autonomous Driving with Deep Learning AI Models
Enhancing Point Cloud Resolution for Autonomous Driving with Deep Learning AI Models Open
In the fast-evolving world of Lidar technology, our study tackles the growing need for top-quality Lidar data. This demand spans various uses, like self-driving cars, environmental tracking, and robot awareness. Elevating point cloud resol…
View article: A Comprehensive Study on Pain Assessment from Multimodal Sensor Data
A Comprehensive Study on Pain Assessment from Multimodal Sensor Data Open
Pain assessment is a critical aspect of healthcare, influencing timely interventions and patient well-being. Traditional pain evaluation methods often rely on subjective patient reports, leading to inaccuracies and disparities in treatment…
View article: Visual analysis of fatigue in Industry 4.0
Visual analysis of fatigue in Industry 4.0 Open
View article: Face Recognition Bias Assessment through Quality Estimation Models
Face Recognition Bias Assessment through Quality Estimation Models Open
Recent advances in facial recognition technology have achieved outstanding performance, but unconstrained face recognition remains an ongoing issue. Facial-image-quality-evaluation algorithms evaluate the quality of the input samples, prov…
View article: Self-supervised Vision Transformers for 3D pose estimation of novel objects
Self-supervised Vision Transformers for 3D pose estimation of novel objects Open
Object pose estimation is important for object manipulation and scene understanding. In order to improve the general applicability of pose estimators, recent research focuses on providing estimates for novel objects, that is, objects unsee…