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of algorithms, data models, and interfaces. Research and selection of the tools and technologies to be used. • Initial development and prototyping: Start of development of the core components of the malicious
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. • Design and specification: Definition of the detailed architecture of the modules associated with the detection of malicious activities. Specification of algorithms, data models, and interfaces. Research
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Systems”. The objectives of this work consist of: (a) analyzing historical consumption data to identify patterns and guide the selection of suitable AI algorithms; (b) studying and applying advanced machine
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addressed to the President of the Competition evaluation panel, and may be sent by post to the following address: Attn: Prof. Simão Melo de Sousa, Universidade do Algarve, Faculdade de Ciências e Tecnologia
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, dated and signed, must be addressed to the President of the Competition evaluation panel, and may be sent by post to the following address: Attn: Prof. Simão Melo de Sousa, Universidade do Algarve
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Regulations of the University of Aveiro. 5. Work Plan: he work plan is integrated into the activities of the NEXUS Agenda, with an emphasis on the development of methods and algorithms with applications in
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
for Science and Technology, I.P., both in their current wording. 2. Activity objective: Research and implementation of advanced Optimization and decision-support algorithms using Artificial Intelligence applied
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
management from water and energy sensors; Development of algorithms to improve data collection pipelines from water and energy sensors; Analysis of water and energy datasets using AI techniques, including
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Communications Group: Optical Communication Systems and Networking – AV Work Objectives: 1) Development and implementation of novel digital signal processing (DSP) algorithms, adaptive forward error correction
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. Given their importance, continuous monitoring and fault diagnostics are crucial—especially as machine learning algorithms play an increasingly prominent role in predictive maintenance and reliability