Inesc Tec
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Articles by Inesc Tec
Forward-Looking Multibeam - Marine Litter Detection and Tracking Dataset (FLM-MLDT)
Published October 23, 2026 | Version v4 Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) aims to make a significant contribution to the advancement of marine robotics and environmental monitoring by providing a novel dataset: the Forward-Looking Multibeam - Marine Litter Detection and Tracking Dataset (FLM-MLDT).
Sub-Terahertz Memristor Switches Using MoS 2 by Liquid–Liquid Interface Assembly
1 Introduction Reconfigurable intelligent surfaces (RIS) have been considered as a pivotal enabling technology, with the potential to enhance communication network quality and energy efficiency within forthcoming generations of wireless communication. This technology consists of an extensive array of unit cells with programmable elements that locally control its electromagnetic properties, enabling precise tailoring of the metasurface's overall scattering response.
CONVERGE Challenge Dataset: Multimodal Sensing for 6G Wireless Communications (ICASSP 2026)
This record contains the dataset used for the CONVERGE Challenge organized with ICASSP 2026. The dataset contains synchronized RGB-D video, radio measurements, and annotations for multimodal wireless sensing tasks. The data are split into training and validation archives. Each split includes scenario indexes, RGB frames, disparity frames, E2 radio measurements, SRS channel measurements, stereo camera calibration, and task annotations.
Prototype of MVP#2 for In-store Navigation and Shopping Assistant (SON)
Published May 18, 2026 | Version 1.0 Software Open This work integrates MVP#2 modules for the PEER agent In-store navigation and shopping assistant (Sonae).
Prototype of MVP#2 for Warehouse Configuration Management (DAT)
Published May 18, 2026 | Version 1.0 Software Open This work integrates MVP#2 modules for the PEER agent warehouse configuration assistant (Datacation). Name Size md5:5c778f72d0c5fe36f7f691b1cb3fdf43 2.8 MB md5:35a90b6161f9d07c6d446fed8de190d1 2.8 MB md5:35679742aa4aa645056eb25a920fd785 293.9 kB md5:aafec1b51b79e0de07a7550dd590e574 302.3 kB md5:7fe751428b6805b6104aca12f3518811 162.9 kB md5:2d93b1693bac787b21a3bbba6393b0ab 28.0 kB
Rosbag Frame Extraction and Dataset Curation Tools
Published April 28, 2026 | Version v1 Software Open 1. INESC TEC 2. University of Trás-os-Montes and Alto Douro 3. Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto 4. Universidade do Porto 5. Universidade do Porto Faculdade de Ciências Python scripts to extract image frames from rosbags and compare frame similarity to retain unique images for dataset creation. Name Size md5:e589049e7f5c8df40bc5b86b09d5adca 1.7 kB md5:42ba00201eb0a22c9f66d35e0e49c533 1.1 kB
300 GHz Passive 1, 2 and 3-Bit RIS Characterization Dataset
This dataset contains experimental and simulation data for the characterization of passive Reconfigurable Intelligent Surfaces (RISs) operating in the sub-THz band around 300 GHz. The dataset includes three static phase-quantized RIS implementations with different phase resolutions: 1-bit, 2-bit, and 3-bit metasurfaces, designed to enable controlled anomalous reflection and beam steering in indoor environments.
Mimic Grasping: A Modular and Flexible Programming‐by‐Demonstration Robotic Grasping Solution
1 Introduction The implementation of Industry 4.0 is still ongoing (Hanna et al. 2022), resulting in issues that provide fertile ground for new ideas about Industry 5.0. These new concepts are based on three new support concepts: human-centricity, sustainability, and resilience. Therefore, engineers and researchers are trying even more to incorporate these pillars into the design of new solutions (Leng et al. 2022; Huang et al. 2022; Xu et al. 2021; Wang et al. 2023).
Slide Deck for "FAIRway Advanced Course: A Pathway to Good Practices and Optimised Research Data Management Processes"
Published December 11, 2025 | Version 1 Presentation Open 1. INESC TEC 2. Centro Interdisciplinar de Investigação Marinha e Ambiental 3. Associação BIOPOLIS - Rede de Investigação em Biodiversidade e Biologia Evolutiva 4.
UC#2: DT2 - EV_local_data
Published November 21, 2025 | Version v1 Dataset Open 1. INESC TEC The dataset comprises real measurements of power consumption from several EVSEs located at INESC TEC’s headquarters, reflecting the typical EV charging patterns of employees in a corporate environment. The data connects unique, randomized user IDs with detailed charging session information, including plug-in/plug-out times and power measurements recorded at a 5-minute resolution.
High-precision acoustic event monitoring in single-mode fibers using Fisher information
Polarization optical fiber sensors are based on modifications of fiber birefringence by an external measurand (e.g., strain, pressure, acoustic waves). Yet, this means that different input states of polarization will result in very distinct behaviors, which may or may not be optimal in terms of sensitivity and signal-to-noise ratio.
Blue-Cloud Second Federation and Digital Twins of the Ocean Interoperability Joint Workshops
The Blue-Cloud 2026 Second Federation Workshopwas organised in conjuction with the Digital Twins of the Ocean Interoperability Workshop (from ILIAD project).
The molecular impact of cigarette smoking resembles aging across tissues - Genome Medicine
We used the Genotype-Tissue Expression (GTEx) v8 data release [21] (Fig. 1, Additional file 1: Table S1). We selected 46 tissues with at least 80 samples comprising 12,654 RNA-sequencing samples from 717 donors, including 316 smokers, 253 never smokers, and 148 ex-smokers (Fig. 1). All human donors were deceased, with informed consent obtained via next-of-kin consent for the collection and banking of deidentified tissue samples for scientific research.
IDS App Store
The IDS App Store is a software component developed within the scope of the ENERSHARE EU co-funded project (Grant Agreement No 101069831). The App Store integrates into the International Data Spaces (IDS) ecosystem as one of the building blocks. It interfaces with the IDS connector and enables Data Apps to be distributed within the data space. An IDS App is a reusable asset that can be downloaded from the App Store and can be deployed and monitored by an IDS Connector.
Towards Transparent Data-Driven Decision and Control Systems in Power Systems
Published May 13, 2025 | Version v1 Presentation Open 1. INESC TEC
To FID or not to FID: Applying GANs for MRI Image Generation in HPC
Abstract With the rapid growth of Deep Learning models and neural networks, the medical data available for training - which is already significantly less than other types of data - is becoming scarce. For that purpose, Generative Adversarial Networks (GANs) have received increased attention due to their ability to synthesize new realistic images.
Live software documentation of design pattern instances
Throughout the life cycle of a software project, developers often record knowledge as different software artifacts, which can help understand what has been done, how the system works, and why it was made in such a way. This information is important for new project team members but also for the original developers, who may lose some of their knowledge, making documentation particularly useful when trying to reconnect with a part of the system.
Expanding Qualitative Research Horizons: The Development and Application of Intuitive Field Research (IFRes)
DOI: https://doi.org/10.34190/ejbrm.22.1.3336 Keywords: Intuition, Field research, Qualitative research, Experience Downloads pdf Published 24 Jun 2024
Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems
Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems Mots clés ASR Bias carbon footprint sustainability ASR Bias carbon footprint sustainability ASR Fichier principal ASR_Interspeech_2024___English (3).pdf (923.07 Ko) Télécharger le fichier Origine Fichiers produits par l'(les) auteur(s)
Lifting noncontextuality inequalities
Kochen–Specker contextuality is a fundamental feature of quantum mechanics and a crucial resource for quantum computational advantage and reduction of communication complexity. Its presence is witnessed in empirical data by the violation of noncontextuality inequalities. However, all known noncontextuality inequalities corresponding to facets of noncontextual polytopes are either Bell inequalities or refer to cyclic or state-independent contextuality scenarios.
Cues to fast‐forward collaboration: A Survey of Workspace Awareness and Visual Cues in XR Collaborative Systems
1. Introduction In the dynamic realm of digital technology, the blend of extended reality (XR) and collaborative environments has brought about a new era of work, communication, and interaction. XR technologies encompass a spectrum of immersive experiences, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), where physical and digital worlds seamlessly coexist.
Exploring the dynamics of the Kelvin-Helmholtz instability in paraxial fluids of light
Paraxial fluids of light have recently emerged as promising analog physical simulators of quantum fluids using laser propagation inside nonlinear optical media. In particular, recent works have explored the versatility of such systems for the observation of two-dimensional quantum-like turbulence regimes, dominated by quantized vortex formation and interaction that results in distinctive kinetic energy power laws and inverse energy cascades.
Framework for adaptive serious games
1 INTRODUCTION Professional training is widely recognized as a necessary investment for the effective functioning of organizations and, owing to its significance [28], for society at large. The efficacy of organizations dramatically depends on developing and enhancing their professionals' skills and knowledge [37].
Clinical Perspectives on the Use of Computer Vision in Glaucoma Screening
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
A Distributed Computing Solution for Privacy-Preserving Genome-Wide Association Studies
Abstract Breakthroughs in sequencing technologies led to an exponential growth of genomic data, providing unprecedented biological insights and new therapeutic applications. However, analyzing such large amounts of sensitive data raises key concerns regarding data privacy, specifically when the information is outsourced to third-party infrastructures for data storage and processing (e.g., cloud computing).
SHIP: Identifying Antimicrobial Resistance Gene Transfer Between Plasmids
Plasmids are carriers for antimicrobial resistance (AMR) genes and can exchange genetic material with other structures, contributing to the spread of AMR. There is no reliable approach to identify the transfer of AMR genes across plasmids. This is mainly due to the absence of a method to assess the phylogenetic distance of plasmids, as they show large DNA sequence variability.
Frontiers | Effect of a monitored home-based exercise program combined with a behavior change intervention and a smartphone app on walking distances and quality of life in adults with peripheral arterial disease: the WalkingPad randomized clinical trial
1. Introduction Lower extremity peripheral arterial disease (PAD) is associated with reduced walking capacity and increased cardiovascular morbidity and mortality risk (1). Regular exercise significantly improves walking ability and performance in patients with PAD and is the first-line therapeutic measure recommended by clinical practice guidelines (2).
Entrepreneurial Ecosystems: Theory, Practice and Futures. By Ben Spigel. Cheltenham: Edward Elgar Publishing, 2020, ISBN 978‐1‐78897‐592‐0, paperback, £27.95, pp.200. - Au‐Yong‐Oliveira - R&D Management - Wiley Online Library
No abstract is available for this article. The full text of this article hosted at iucr.org is unavailable due to technical difficulties.
The security of Kyber's FO-transform
Paper 2023/755 The security of Kyber's FO-transform , University of Porto (FCUP) and INESC TEC, Portugal , Eindhoven University of Technology Abstract In this short note we give another direct proof for the variant of the FO transform used by Kyber in the QROM. At PKC'23 Maram & Xagawa gave the first direct proof which does not require the indirection via FO with explicit rejection, thereby avoiding either a non-tight bound, or the necessity to analyze the failure probability in a new setting.
Kyber terminates
Paper 2023/708 Kyber terminates , University of Porto, INESC TEC , Max Planck Institute for Security and Privacy, Radboud University Abstract The key generation of the lattice-based key-encapsulation mechanism CRYSTALS-Kyber (or short, just Kyber) involves a rejection-sampling routine to produce coefficients modulo $q=3329$ that look uniformly random. The input to this rejection sampling is output of the SHAKE-128 extendable output function (XOF).
A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer
Feature importance One of the main disadvantages of using DL models to predict drug response is that they are difficult to interpret. The SHapley Additive exPlanations (SHAP) [49] interpretability framework was used to determine which features were the most important for the exprDGI + drugsECFP4 model. SHAP values reflect the contribution of each feature to a prediction. Fig 3 shows the top 20 most important features. Important features are those that have greater absolute SHAP values.
Editorial: Computational intelligence advances in educational robotics
1 Introduction The use of robots as educational tools at pre-university levels of education has become very popular (Daniela, 2019). Such tools are often also convenient in higher education, namely in the teaching of robotics in several areas of STEM. Robots are perfect for a learn-by-doing methodology, and they continue to be very motivating for younger students (Myint Swe Khine, 2017).
Towards a model for determining patent revenue odds: An empirical study of technology transfer offices
Abstract Technology transfer offices (TTO) were created with the mission of executing innovation policy and its technology transfer to industry. Most studies regarding TTO focus on the context of developed countries, so there is a lack of research on the subject in emerging economies, such as Brazil. In addition, the issue of how diverse the skills of the team of a given TTO should be for their best revenue performance is still little addressed.
Ecosystem dynamics: exploring the interplay within fintech entrepreneurial ecosystems - Small Business Economics
Abstract Scholars and practitioners continue to recognize the crucial role of entrepreneurial ecosystems (EEs) in creating a conducive environment for productive entrepreneurship. Although EEs are fundamentally interaction systems of hierarchically independent yet mutually dependent actors, few studies have investigated how interactions among ecosystem actors drive the entrepreneurial process.
Exploring the Impact of COVID-19 on the Sustainability of Health Critical Care Systems in South America
Document Type : Perspective Author Fernando Almeida 1, 2, 3 1 University of Porto, Porto, Portugal 2 INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal 3 ISPGAYA - Polytechnic Higher Institute of Gaya, Vila Nova de Gaia, Portugal Abstract The coronavirus disease 2019 (COVID-19) pandemic has created strong pressure on national health critical care systems. After its initial impact in Asia, the highest case growth is now in the Americas.
Automatic detection of perforators for microsurgical reconstruction and correlation with patient’s body-mass index
Background: The deep inferior epigastric perforator (DIEP) is the most commonly used free flap in mastectomy reconstruction. Preoperative imaging techniques are routinely used to map deep inferior epigastric perforator branches that will supply the DIEP flap.
A Breast 3D model as a possible tool for non-invasive tumour localization in breast surgery
P. Gouveia P. Gouveia Affiliations Champalimaud Clinical Center, Breast Unit, Lisbon, Portugal;University of Lisbon, Faculty of Medicine, Lisbon, Portugal; Search for articles by this author S. Bessa H. Oliveira E. Batista M. Aleluia J. Ip J. Costa L. Nuno D. Pinto C. Mavioso J. Anacleto N. Abreu P. Morgado M. Martinho J. Teixeira P. Carvalho J. Cardoso C. Alves F.
Exploring the Impact of COVID-19 on the Sustainability of Health Critical Care Systems in South America
Document Type: Perspective Author Fernando Almeida 1, 2, 3 1 University of Porto, Porto, Portugal 2 INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal 3 ISPGAYA - Polytechnic Higher Institute of Gaya, Vila Nova de Gaia, Portugal Abstract The coronavirus disease 2019 (COVID-19) pandemic has created strong pressure on national health critical care systems. After its initial impact in Asia, the highest case growth is now in the Americas.
The impact of research output on economic growth by fields of science: a dynamic panel data analysis, 1980-2016
Abstract Whether research output significantly impacts on economic growth, and which research areas/fields of science matter the most to improve the economic performance of countries, stand as fundamental endeavors of scientific inquiry.
A labor requirements function for sizing the health workforce
Ideally, a health system provides quality and timely care services, contributing to a healthy population. However, most health systems have been facing rising care volumes and health expenditures, which is a significant problem considering that resources are scarce.
How to evaluate sentiment classifiers for Twitter time-ordered data?
Social media are becoming an increasingly important source of information about the public mood regarding issues such as elections, Brexit, stock market, etc. In this paper we focus on sentiment classification of Twitter data. Construction of sentiment classifiers is a standard text mining task, but here we address the question of how to properly evaluate them as there is no settled way to do so. Sentiment classes are ordered and unbalanced, and Twitter produces a stream of time-ordered data.
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