Autism spectrum disorder (ASD) is a neurodevelopment condition that impacts a person's ability to communicate and interact socially. Diagnosing autism spectrum disorder (ASD) early and correctly is critical for pr...
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Cities in the modern era often face a hectic challenge due to increased urbanization and industrialization. This problem arises as the number of cars on the road increases over time, and the need for traffic data beco...
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Audio-driven talking-head synthesis has become a significant focus in the field of virtual human applications. However, existing methodologies face challenges in effectively synchronizing audio and video, especially i...
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The Internet of Things (IoT) is a network of interconnected objects, which congregate and exchange gigantic amounts of data. Usually, predeployed embedded sensors sense this massive data. Soon, several applications of...
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This study introduces a novel framework for video-based 3D human pose and shape estimation, termed Selective sampling and Temporal Positional Encoding (STPE). Our method leverages selective sampling and advanced posit...
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The research examines the challenge of emotion detection in Kashmiri language utilizing audio reviews. It proposes a fusion model integrating convolutional neural networks (CNN), long short-term memory (LSTM), and rec...
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The blockchain technology offers a secure channel for communicating between entities without the role of any third party. It is a digital ledger of transactions in a computer network that makes it hard for hackers to ...
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In agriculture, timely and efficient irrigation is crucial to achieving maximum crop yield. However, traditional irrigation methods are often inefficient and wasteful, leading to water scarcity and abbreviated crop pr...
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Since the discovery of high-temperature superconductors in 1986, copper-oxide superconductors have attracted widespread attention in the fields of physics and materials science due to their unique properties. This stu...
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Label biases in facial expression recognition (FER) datasets, caused by annotators' subjectivity, pose challenges in improving the performance of target datasets when auxiliary labeled data are used. Moreover, tra...
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