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Head & nEck canceR treatment through AI-based magnEtic reSonance-guided Photon/Protontherapy – HERESP
Cancer is the leading cause of mortality and morbidity globally. Radiation therapy is used in more than 50% of patients treated for cancer. Head and neck tumors have the sixth most frequent cancer prevalence and are often associated with poor outcomes and lifelong sequels. Radiation therapy is parti
Heterogeneous Real-time systems Implementability for AI Tasks on Accelerators and GPU-based Embedded architectureS – HeRITAGES
During the last decade, artificial intelligence (AI) has received particular attention from academic and industrial communities. This made it possible to develop complex systems, such as those required for Autonomous driving and Advanced Driver-Assistance Systems (ADAS). These systems process a lar
Heterogeneous and Self-Adaptive Acoustic Monitoring Network – RESSACH
Oceans are the heart of the development of intense economical and industrial activity, supports by current developments of marine renewable sites. The maritime spaces are facing huge competition among professionals of the sea. These economical activities also impact marine ecosystems. Such impacts h
Heuristics for Heterogeneous Memory – H2M
High-performance computing (HPC) is crucial to advance computational science and engineering. In all modern computing systems, the performance gap between compute and memory continues to spread, particularly in the face of multi-core and accelerated systems. In consequence, the memory subsystem is
HiErarchIcal DIsaggregated Scheduling for beyond-5G networks – HEIDIS
The entire telecom industry is going through a profound transformation driving the move towards open architectures and software-based networks. This trend is being moved ahead faster and gained momentum thanks to open-source software and standards for communication infrastructure components. On the
Hierarchical Object-based Unsupervised Learning for Computational Auditory Scene Analysis – Houle
Despite recent advances in machine perception, largely due to advances in machine learning techniques, much remains to be done in the field of Computational Auditory Scene Analysis (CASA), which aims at bringing mechanisms of the human auditory system to machine perception by automatically understan
High Entropy Alloys Passivation, Dissolution and Corrosion – Tapas2020
High-entropy alloys (HEA) represent an emerging class of materials showing an exceptional combination of physical properties but their development is hindered by their multi-element complexity of their composition. The goal of this project is to identify the role of the individual alloy elements in
High Performances Embedded Measurement Systems for multiDegrees of Freedom Microsystems – MyMeSys
The objectives of MiMeSys is to study and develop a multi-axis, embeddable, highly accurate and high bandwidth micromanipulators based on integrated position and force sensors and control strategies. The results are going to accelerate the development of high precision, high throughput micromanipula
High intensity positron beams for the next breakthroughs – INSPIRER
Positron sources are essential to the future e+e-/µ+µ- collider projects (ILC, CLIC, FCC-ee, LEMMA, etc.) with challenging critical requirements of high-beam intensity and low emittance necessary to achieve high luminosity. The intensities required from the positron sources at the future colliders a
High intensity positron beams for the next breakthroughs – INSPIRER_Ukraine
Positron sources are essential to the future e+e-/µ+µ- collider projects (ILC, CLIC, FCC-ee, LEMMA, etc.) with challenging critical requirements of high-beam intensity and low emittance necessary to achieve high luminosity. The intensities required from the positron sources at the future colliders a
