In this paper, I propose a vehicle classification method based on deep learning, which uses attention-enhanced convolutional neural network (CNN) to realize high-precision vehicle recognition. The model automatically ...
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This paper introduces the Adaptive Contextual Feature engineering (ACFE) algorithm, a novel approach to enhancing AI-generated content in virtual learning environments. ACFE addresses key limitations in traditional fe...
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In this paper, how to recommend personalized learning resources to users efficiently and accurately is a key issue. This paper presents a new method, Matrix Deep Q-Factorization (MDQF), which combines Matrix Factoriza...
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With the advancement of computer and human speech signal processing technology, the functionality and practicality of English pronunciation learning systems have been further enhanced. Gaussian Mixed Model (GMM) is a ...
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With poverty being a key factor affecting access to basic education, more efforts were needed to enable students living in remote and rural areas to enroll in primary, middle, and high schools. A school quality improv...
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作者：
Kapse, RishikeshGourshettiwar, Palash
Faculty of Engineering and Technology Dept. of Artificial Intelligence and Data Science Maharashtra Wardha India
Faculty of Engineering and Technology Dept. of Computer Science And Medical Engineering Maharashtra Wardha India
This essay's primary focus is on Google Cloud's use in healthcare and how it affects data management, teamwork, and cost-effectiveness. With a focus on Google Cloud, which improves the processing, storing, and...
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Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by impairments in social communication and repetitive behaviors, with its exact etiology remaining unclear. Early and accurate diagnosis i...
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In order to enhance the practicability of the hydraulic transmission courses and adapt to the requirements of talent training in the new era, this paper proposes a teaching mode that integrates AMESim simulation softw...
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Sentiment analysis, a pivotal aspect of natural language processing (NLP), has seen notable advancements with the advent of deep learning models. Despite these advancements, challenges persist in accurately capturing ...
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As organizations increasingly rely on cloud computing for their critical operations, securing cloud infrastructures against cyber threats has become paramount. This paper presents a robust and scalable Intrusion Detec...
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