As critical infrastructure in both urban and rural transportation systems, road health significantly impacts regional economies and population mobility. Traditional road disease prediction methods are often costly and...
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In modern container cloud computing environments, achieving efficient elastic scaling is crucial to optimizing resource utilization and improving system performance. this paper proposes a new prediction model based on...
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the proceedings contain 34 papers. the topics discussed include: reliable leukemia diagnosis and localization through explainable deep learning;parameter estimation of a method for noise reduction fusing a normal micr...
ISBN:
(纸本)9798350354751
the proceedings contain 34 papers. the topics discussed include: reliable leukemia diagnosis and localization through explainable deep learning;parameter estimation of a method for noise reduction fusing a normal microphone and a bone conduction microphone;optimizing multi-class classification in educational data with ensemble learning and data balancing techniques;applying long short-term memory networks to model Elliott wave patterns for improved risk management in high-frequency trading;machine learning-driven framework for sentiment analysis of tweets;a hybrid surrogate deep learning model for actual evapotranspiration prediction;evaluating the robustness of ASR systems in adverse acoustic conditions;and detection of conflicts, contradictions and inconsistencies in regulatory documents: a literature review.
Withthe growth of computing power and data volume, deep learning and large-scale models are widely used in AI fields. Large-scale pre-trained models like the transformer architecture are the preferred solution for do...
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Remote sensing image target detection using deep neural network has emerged as a significant area of research in recent years. However, in the context of remote sensing images, it is common to encounter complex image ...
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the integration of the Internet of things (IoT) and artificial intelligence (AI) has revolutionized agriculture and smart farming. these advanced technologies have not only improved cognitive processes but also enable...
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Despite the importance of physical activity in human health, there is a high percentage of people who do not exercise. Exergames are among the approaches aimed at fighting sedentary lifestyles, with particular success...
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Deep learning has become an effective paradigm that is impacting several fields, including decision-making systems, natural language processing, and recognition of images. Nonetheless, the growing frequency of malicio...
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Edge microservices encounter failures that affect the stability and availability of the entire edge microservice system. Some studies are devoted to developing efficient edge-edge offloading methods that offload fault...
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the role of technology is vital and can be observed through the 5th industrial revolution. As a matter of fact, the impact is so severe, it can be felt almost everywhere. As technology advances, one of the most promis...
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