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Hamun: an approximate computing method to prolong the lifespan of ReRAM-based accelerators
(Elsevier, 2025-09)
Article
Open AccessReRAM-based accelerators exhibit enormous potential to increase computational efficiency for DNN inference tasks, delivering significant performance and energy savings over traditional platforms. By incorporating adaptive ... -
Simulation and modelling of C+L+S multiband optical transmission for the OCATA time domain digital twin
(Multidisciplinary Digital Publishing Institute (MDPI), 2025-03)
Article
Open AccessC+L+S multiband (MB) optical transmission has the potential to increase the capacity of optical transport networks, and thus, it is a possible solution to cope with the traffic increase expected in the years to come. ... -
Towards generalizable Federated Learning in medical imaging: a real-world case study on mammography data
(Elsevier, 2025-03-20)
Article
Open AccessFederated Learning has been rapidly gaining in popularity in medical applications, due to the increased privacy offered, since medical data doesn't need to leave the hospitals' premises for AI model training. However, a ... -
Enhancing the output of time series forecasting algorithms for cloud resource provisioning
(Elsevier, 2025-09)
Article
Open AccessForecasting the resource consumption of workloads is a frequent approach in the cloud provisioning field. Ideally, such predictions allow obtaining a more accurate scheduling and management of resources in a computing ... -
A survey on security enhancing Digital Twins: models, applications and tools
(Elsevier, 2025-06)
Article
Open AccessA Digital Twin (DT) is a virtual representation of both cyber and physical objects. Initially, the concept was introduced to optimize manufacturing products, aimed at validating and verifying their behavior along their ... -
QuickEd: high-performance exact sequence alignment based on bound-and-align
(Oxford University Press, 2025-03-04)
Article
Open AccessMotivation: Pairwise sequence alignment is a core component of multiple sequencing-data analysis tools. Recent advancements in sequencing technologies have enabled the generation of longer sequences at a much lower price. ... -
On the stability of the Kubernetes Horizontal Autoscaler control loop
(Institute of Electrical and Electronics Engineers (IEEE), 2025-01-07)
Article
Open AccessKubernetes is a widely used platform for deploying and managing containerized applications due to its efficient elastic capabilities. The Horizontal Pod Autoscaler (HPA) in Kubernetes independently adjusts the number of ... -
Bias reduction via cooperative bargaining in synthetic graph dataset generation
(2025)
Article
Restricted access - publisher's policyIn general, to draw robust conclusions from a dataset, all the analyzed population must be represented on said dataset. Having a dataset that does not fulfill this condition normally leads to selection bias. This problem ... -
Co-designing ab initio electronic structure methods on a RISC-V vector architecture [version 3; peer review: 4 approved, 1 approved with reservations]
(2024-11-14)
Article
Open AccessAb initio electronic structure applications are among the most widely used in High-Performance Computing (HPC), and the eigenvalue problem is often their main computational bottleneck. This article presents our initial ... -
Toward deep application-network integration: architectures, progress and opportunities
(Institute of Electrical and Electronics Engineers (IEEE), 2024-12)
Article
Open AccessWith the rise of a new generation of applications (e.g., virtual and augmented reality, artificial intelligence, etc.) demanding stringent performance requirements, the need for networking solutions and architectures that ... -
Convex relaxation method for sensor placement in multiclass monitoring networks
(2024)
Article
Open AccessThe design of a sensor network plays an important role in monitoring a physical field. This task becomes more difficult as the network consists of different classes of sensors with their corresponding uncertainties. In ... -
Semantic diverse DMR and TMR for high-integrity AI-based function efficiency
(Association for Computing Machinery (ACM), 2025-03-24)
Article
Open AccessDual (DMR) and Triple Modular Redundancy (TMR), often with some form of diversity, are used in safety-critical systems to realize those functionalities at the highest integrity level providing fault detection and/or tolerance ...
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