16 hasil untuk "Alba, Enrique"
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Artikel Jurnal Teks lengkap
A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus
Human tracking and traffic monitoring systems are required to build advanced intelligent, innovative mobility services. In this study, we introduce an IoT system based on low-cost hardware that has been installed on the campus of the University of Malaga, in Spain. The sensors gather smart wireless…
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Artikel Jurnal Teks lengkap
BiPred: A Bilevel Evolutionary Algorithm for Prediction in Smart Mobility
This article develops the design, installation, exploitation, and final utilization of intelligent techniques, hardware, and software for understanding mobility in a modern city. We focus on a smart-campus initiative in the University of Malaga as the scenario for building this cyber–physical…
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Artikel Jurnal Teks lengkap
A Methodology for the Hybridization Based in Active Components: The Case of cGA and Scatter Search
This work presents the results of a new methodology for hybridizing metaheuristics. By first locating the active components (parts) of one algorithm and then inserting them into second one, we can build efficient and accurate optimization, search, and learning algorithms. This gives a concrete way…
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Preprint Teks lengkap
A Methodology for Effective Surrogate Learning in Complex Optimization
Solving complex problems requires continuous effort in developing theory and practice to cope with larger, more difficult scenarios. Working with surrogates is normal for creating a proxy that realistically models the problem into the computer. Thus, the question of how to best define and…
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Preprint Teks lengkap
Green Optimization: Energy-aware Design of Metaheuristics by Using Machine Learning Surrogates to Cope with Real Problems
Addressing real-world optimization challenges requires not only advanced metaheuristics but also continuous refinement of their internal mechanisms. This paper explores the integration of machine learning in the form of neural surrogate models into metaheuristics through a recent lens: energy…
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Preprint Teks lengkap
Energy-Aware Metaheuristics
This paper presents a principled framework for designing energy-aware metaheuristics that operate under fixed energy budgets. We introduce a unified operator-level model that quantifies both numerical gain and energy usage, and define a robust Expected Improvement per Joule (EI/J) score that guides…
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Buku Teks lengkap
Metaheuristics for Dynamic optimization
International audience
Juga tersedia di: HAL
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Artikel Jurnal Teks lengkap
Advances in Neural Networks and Hybrid-Metaheuristics: Theory, Algorithms, and Novel Engineering Applications
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Artikel Jurnal Teks lengkap
Net demand short-term forecasting in a distribution substation with PV power generation
The integration of renewable energies, specifically solar energy, in electric distribution systems is increasingly common. For an optimal operation, it is very important to forecast the final net demand of the power distribution network, considering the variability of solar energy combined with the…
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Artikel Jurnal Teks lengkap
Uniportal video-assisted thoracic surgery course in Mexico—first experience
“The First Minimally Invasive Thoracic Surgery Uniportal Course” in Mexico was held from July 13(th) to 15(th) in Mexico City, at the National Institute of Respiratory Diseases (INER). Thoracic surgeons from around Mexico assisted the course. The special guests were the Spanish doctor Diego…
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Epigenomic study identifies a novel mesenchyme homeobox2-GLI1 transcription axis involved in cancer drug resistance, overall survival and therapy prognosis in lung cancer patients
Several homeobox-related gene (HOX) transcription factors such as mesenchyme HOX-2 (MEOX2) have previously been associated with cancer drug resistance, malignant progression and/or clinical prognostic responses in lung cancer patients; however, the mechanisms involved in these responses have yet to…
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Artikel Jurnal Teks lengkap
Probabilistic reference model for hourly PV power generation forecasting
This paper presents a new probabilistic forecasting model of the hourly mean power production in a Photovoltaic (PV) plant. It uses the minimal information and it can provide probabilistic forecasts in the form of quantiles for the desired horizon, which ranges from the next hours to any day in the…
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Artikel Jurnal Teks lengkap
Surgical care of thoracic malignancies during the COVID‐19 pandemic in México: An expert consensus guideline from the Sociedad Mexicana de Oncología (SMeO) and the Sociedad Mexicana de Cirujanos Torácicos Generales (SMCTG)
To date, the impact, timeline and duration of COVID‐19 pandemic remains unknown and more than ever it is necessary to provide safe pathways for cancer patients. Multiple triage systems for nonemergent surgical procedures have been published, but potentially curative cancer procedures are essential…
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Artikel Jurnal Teks lengkap
Overexpression of MEOX2 and TWIST1 Is Associated with H3K27me3 Levels and Determines Lung Cancer Chemoresistance and Prognosis
Lung cancer is the leading cause of death from malignant diseases worldwide, with the non-small cell (NSCLC) subtype accounting for the majority of cases. NSCLC is characterized by frequent genomic imbalances and copy number variations (CNVs), but the epigenetic aberrations that are associated with…