Titlebook: Innovative Computing and Communications; Proceedings of ICICC Aboul Ella Hassanien,Sameer Anand,Prabhat Kumar Conference proceedings 2024 T

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Smart Device with Arduino Controller for Home Inverter,supply, a new concept of priority based on load switching decided by the Arduino controller is proposed. If any sudden load is connected to the home inverter output while the inverter is unable to distribute sufficient power required by the loads. During this period, the proposed system will check t

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Feature Selection with Particle Swarm for Improved Classification on High-Dimensional Datasets,ity realm. Swarm intelligence (SI) is a new way to approach the most complex problems. SI has been steadily growing in its popularity and it has been demonstrated that it has the ability to handle a wide range of optimization problems, e.g., feature selection. It is proven by the fact of its applica

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IoT Routing Reimagined: Dynamic Phantom Routing with ACO for Efficient Source Location Privacy,ention to a few privacy concerns with device location data. An evolutionary and built-in method of exploring the search space while safeguarding the location privacy of IoT nodes is provided by ant colony optimization. In this paper, we focus on protecting the node‘s position with appropriate modifi

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,Deep Learning-Based Evaluation of ICU Requirements in COVID-19 Cases,602,593 people. In order to stop the virus from spreading, diagnosis is essential. Yet, the existing diagnostic options for COVID-19 are inadequate in light of the mounting infection rates. A model which is more generalizable and can detect such diseases with the use of fewer resources must also be

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Deep Learning-Based Tea Fermentation Grading,most common ones are oolong, yellow, ilex, matcha, black, sencha, green teas, and others. The uttermost widely consumed type of tea is black among the global categories. The black tea can be prepared by plucking, cutting, withering, curling, tearing, fermenting, sorting, and drying are complete step

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,An Exploratory Study of the Relationship Between Students’ Positive Attitudes Toward Artificial Int (AI) and their capacities in computational thinking is pivotal. This research delves into the nexus between these two essential proficiencies. While a gamut of AI skills, encompassing creation, comprehension, and application are accentuated, amplifying modeling capabilities for problem resolution v