[ad_1] Introduction Object detection for localization and classification is a crucial task in the field of computer vision and machine learning. It involves the identification and precise location of objects within an image or video,…
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[ad_1] Introduction Action recognition is a crucial task in video understanding and has gained significant attention in recent years due to its wide range of applications in various fields such as surveillance, human-computer interaction, sports…
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[ad_1] Introduction Biometric identification has become increasingly important in various fields such as security, banking, and healthcare. Among the various biometric modalities, face recognition has gained widespread attention due to its non-intrusive nature and ease…
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[ad_1] Introduction: Visual question answering (VQA) is an emerging research area that aims to enable machines to understand and answer questions about visual content. With the increasing availability of multimedia data, including images and videos,…
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[ad_1] Introduction In recent years, deep belief networks (DBNs) have gained significant attention in the field of artificial intelligence and machine learning due to their ability to learn hierarchical representations of data. These networks are…
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[ad_1] Introduction: Restricted Boltzmann Machines (RBMs) have gained popularity in recent years as a powerful tool for unsupervised feature learning in machine learning. RBMs are a type of artificial neural network that can learn a…
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[ad_1] Introduction Variational autoencoders (VAEs) have gained significant attention in the field of generative modeling due to their ability to learn complex distributions and generate realistic samples. This thesis aims to explore the use of…
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[ad_1] Introduction Long short-term memory (LSTM) networks are a type of recurrent neural network (RNN) that have been specifically designed to address the issue of capturing long-term dependencies in sequential data. Traditional RNNs suffer from…
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[ad_1] Introduction Convolutional neural networks (CNNs) have gained significant attention in recent years due to their exceptional performance in various domains, including computer vision, natural language processing, and speech recognition. CNNs are particularly well-suited for…
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[ad_1] Introduction Artificial Neural Networks (ANNs) have become a popular tool in the field of machine learning and artificial intelligence due to their ability to approximate complex functions. In recent years, ANNs have been used…
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