The multi-skills resource-constrained project scheduling problem (MS-RCPSP) is assigning tasks to employees while considering predecessor tasks and multi-skills constraints to create a feasible schedule with both the ...
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Rapid and effective identification of flame smoke at the early stage of a fire in a home kitchen scenario is crucial for reducing casualties and property losses. In this paper, a deformable multi-scale attention-based...
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Flood is one of the disasters that cost numerous lives in the Philippines and in the world, as well. Search and rescue (SAR) operations are usually focused on general disasters and on the task of human detection alone...
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In this work, the second-order consensus in discrete-time multi-agent system (MAS) with reference states in which only a part of agents have access to is researched. According to the proposed network topology, it is u...
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This paper investigates the efficacy of water body detection utilizing three widely used spectral indices, namely Normalized Difference Water Index (NDWI), Normalized Difference Vegetation Index (NDVI), and Modified N...
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This research study provides an innovative approach to creating smart monitoring and surveillance systems for autonomous delivery robots in the food and e-commerce industries. The system aims to increase the effective...
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In multi-party machine learning scenarios involving sensitive data, safeguarding user and model privacy holds utmost importance. Current approaches often disclose model parameters to expedite training, but this poses ...
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The proposed recommendation system has integrated data collection framework, which can collect repository source data and thus generate base dataset for machine learning and artificial neural network models. So propos...
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PID control is the most widely used automatic control method at present, and it is also the only way for students to learn control engineering. However, for beginners, it is difficult to have a detailed and correct un...
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This study investigates how learners' performance is affected by AI-driven personalization. This goal compares students' academic performance in AI-driven personalized learning environments to that of students...
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