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to problems such as heterogeneity in solutions, high data dependency and low optimality guarantees. 1.3. Considered methods, targeted results and impacts The use of decomposition strategies is proven to be
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informing users and the network of new settings. The goal is to define an adaptive multicast framework leveraging error correction and machine learning to optimize parameters in real time [8]. 1.2. Scientific
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, demanding innovative AI-driven denoising and reconstruction strategies tailored to low SNR conditions. A second challenge is related to the optimization of hardware design: developing a portable, cost
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: Extending the registry to support real-time schema allocation, semantic enrichment, and bidirectional protocol translation while ensuring scalability and security. Validation and Performance Optimization
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two different contexts: (i) the management/optimization of the overall energy consumption of large-scale software systems among with AI-intensive software systems now occupy a place of choice and (ii
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propose to contribute to the optimization of this technology using experimental campaigns integrating new photodetectors, new pixels to measure the charge signal and new information processing methods in
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propose to contribute to the optimization of this technology using experimental campaigns integrating new photodetectors, new pixels to measure the charge signal and new information processing methods in
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incinerator combines elements of chemical kinetics, thermodynamics and fluid dynamics to provide a comprehensive understanding of PFAS destruction. The goal is to optimize incineration conditions for maximum
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solved as a whole. A significant part of the work will involve building a complete model (in Zemax) of the lens associated with the eye, in order to dimension the components and study and optimize
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], or Audio Codecs [8]. We plan to employ e.g., Parameter Efficient Fine-Tuning methods [9] to reduce model complexity of pretrained models, and design new architectures that are optimized for inference speed