Titlebook: Intelligent Systems Design and Applications; Deep Learning, Volum Ajith Abraham,Anu Bajaj,Tzung-Pei Hong Conference proceedings 2024 The Ed

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Unlocking the Potential of Novel LSTM in Airline Recommendation Prediction,dback and ratings assist businesses in enhancing operations and developing fresh approaches to offering excellent services. This study focuses on consumer ratings and reviews to look at the relationship between the product a customer ranks and their recommendations. In two components, this work fore

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,Evaluating Time Series Classification with?GAN-Generated Synthetic Data, compromises the consistency and reliability of these tasks. This study addresses this challenge by evaluating Generative Adversarial Networks (GANs) for augmenting time series data when data is limited. We employed three GAN architectures, RCGAN, SIGCWGAN, and RTSGAN, to generate synthetic samples

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Word2Vec-GloVe-BERT Embeddings for Query Expansion,ring. Its success has a major impact on the performance of the subsequent steps. In this paper, we present a global corpus based-query expansion method. This method relies on the one hand on the WordNet knowledge resource to expand documents. On the other hand, it rests on pre-trained embedding mode

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Deep Learning-Based Approaches for Facial Recognition Technology Through Convolutional Neural Netwoyears. CNNs model have been instrumental in attaining the best possible results for facial recognition tasks among them. This research work gives a thorough investigation of the FaceNet CNN architecture‘s use in facial identification, utilizing its capacity to learn potent representations of facial

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