Withthe advent of deep learning (DL) and other advancements in machinelearning, artificial intelligence has recently taken the globe by storm. the requirement for openness and interpretability has arisen as computin...
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Next-Word Prediction (NWP), an application of machinelearning also known as language modeling, is one the area of natural language processing that could forecast the next word in a sentence. Employing recurrent neura...
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this research explores trajectory planning for Autonomous Vehicles, with a focus on optimizing routes for energy efficiency, safety, and regulatory compliance. Autonomous Vehicles utilize sensors, maps, and real-time ...
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the surge in email usage has led to an upsurge in spam emails, posing threats to both security and user experience. In this era marked by ever-evolving cyber threats, the task of effectively detecting email spam remai...
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High blood glucose levels are a defining characteristic of diabetes, with type 2 diabetes being the most prevalent form. Early detection and treatment can prevent or delay complications. To precisely anticipate type 2...
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Economic Load Dispatch (ELD) is an important task in power system optimization, which aims to allocate the generation power of each unit in the power system to meet the demand at minimum cost. Accurate prediction of t...
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Two advanced technologies that have the potential to revolutionise the Internet of things (IoT) ecosystem are blockchain and machinelearning, as they address a wide range of issues, including data security, interoper...
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this paper explores the application of artificial intelligence technology in ensuring the security of digital currencies. Withthe increasing popularity of digital currencies, ensuring their security has become a cruc...
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the proceedings contain 98 papers. the topics discussed include: self-supervised learning for point clouds through multi-crop mutual prediction;assessment and prediction of corrosion rate of marine railway bridges bas...
ISBN:
(纸本)9798350324303
the proceedings contain 98 papers. the topics discussed include: self-supervised learning for point clouds through multi-crop mutual prediction;assessment and prediction of corrosion rate of marine railway bridges based on ridge regression model;Chunk-BERT: boosted keyword extraction for long scientific literature via BERT with chunking capabilities;chunking of Setswana noun and verb phrase;RarKGQA: multi-hop question and answering method based on knowledge graph embedding;diagnosis and identification of citrus canker growth rate using machinelearning;joint spatial similarity-based attention for retina vessel segmentation with super resolution encoding;mixed attention interleaved execution cascade architecture for fittings instance segmentation in overhead transmission line images;and RFBiCF: a relation-first bidirectional cascade framework for relational triple extraction.
When developing artificial intelligence systems, one of the important aspects is a more accurate description of the considered events and their uncertainties. At the moment, most of the modern solution's mathemati...
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