A very relevant challenge of summarizing legal text documents often exceeds the length, therefore being complex, was addressed using pre-trained models such as BART and PEGASUS. In the paper, the issue is discussed-th...
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Categorical text generation is an upcoming field within natural language processing focusing on producing text tailored to specific categories or domains. The goal of categorical text production is to produce text tha...
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This study proposes an innovative algorithm based on DCNN and multi-channel image fusion, aiming to improve the quality and efficiency of virtual scene image generation. The algorithm extracts depth information and te...
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With the gradual increase in the proportion of the global elderly population, the number of bathroom accidents also increases yearly. Due to the humid environment in bathrooms, the floors are mostly made of tiles, whi...
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Motor imagery electroencephalogram recognition is a key area in brain-computer interfaces, with applications in human-computer interaction, rehabilitation, and virtual reality. Traditional methods often overlook the b...
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This paper introduces an advanced communication system leveraging Long Range (LoRa) technology, customized for hilly terrains devoid of cellular network coverage, catering to specific military operational needs. The s...
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作者：
Soma, Arun KumarPark University
Department of Information Systems & Business Analytics 8700 NW River Park Dr ParkvilleMO64152 United States
Traditional international trade practices have often been plagued by opaque information flows, impeding traceability, and complicating seamless trade operations. Although blockchain technology has emerged as a potenti...
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With the rapid development of cloud computing, video, smart home, and Internet of things (IoT), the bandwidth requirements of communication networks are also greatly increasing. This paper investigates dynamic spectru...
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The increasing deployment of Internet of Things (IoT) technologies in different societal infrastructures, like household water quality monitoring systems, necessitates the development of robust methods to synchronize ...
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With the development of deep learning and computer vision technologies, human behavior prediction has gradually become a research area of great interest. Existing work has introduced the Transformer architecture into ...
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