An important aspect for both individuals and business data is security. Security has been studied extensively by many researchers. Security gaps or threats are ever increasing, and data protection is a primary issue. ...
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The dual-agent multi-hop reasoning method addresses the issue of target entity omission in single-agent systems caused by increased reasoning path length. However, this method still has the following challenges: First...
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This study explores the development and assessment of an advanced skin cancer classification system utilizing deep learning techniques for accurate discrimination among diverse skin cancer types. The primary aim is to...
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Acute Lymphoblastic Leukemia (ALL) is a fast progressing cancer that affects white blood cells and requires precise and timely diagnosis for treatment. Current methods of diagnosis are manual and based on histopatholo...
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With the increasing amount of data,there is an urgent need for efficient sorting algorithms to process large data *** sorting algorithms have attracted much attention because they can take advantage of different hardw...
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With the increasing amount of data,there is an urgent need for efficient sorting algorithms to process large data *** sorting algorithms have attracted much attention because they can take advantage of different hardware's *** the traditional hardware sort accelerators suffer“memory wall”problems since their multiple rounds of data transmission between the memory and the *** this paper,we utilize the in-situ processing ability of the ReRAM crossbar to design a new ReCAM array that can process the matrix-vector multiplication operation and the vector-scalar comparison in the same array *** this designed ReCAM array,we present ReCSA,which is the first dedicated ReCAM-based sort *** hardware designs,we also develop algorithms to maximize memory utilization and minimize memory exchanges to improve sorting *** sorting algorithm in ReCSA can process various data types,such as integer,float,double,and *** also present experiments to evaluate the performance and energy efficiency against the state-of-the-art sort *** experimental results show that ReCSA has 90.92×,46.13×,27.38×,84.57×,and 3.36×speedups against CPU-,GPU-,FPGA-,NDP-,and PIM-based platforms when processing numeric data *** also has 24.82×,32.94×,and 18.22×performance improvement when processing string data sets compared with CPU-,GPU-,and FPGA-based platforms.
During vehicle operation, obstacles or other vehicles may require lane changes, necessitating the coordination of both lateral and longitudinal control. In predictable environments, rule-based lane-changing methods ar...
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To address the issues of extensive artifacts and noise in sparse-angle computed tomography (CT) reconstruction, we propose a neural radial field-based sparse-angle CT reconstruction algorithm. Specifically, we utilize...
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Multimodal Named Entity Recognition (MNER) is a vision-language task aimed at detecting the scope of entities and determining their types in given text-image pairs. Although existing MNER models have made some progres...
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In structured light 3D measurement technology, the core challenge is recovering the phase and solving for depth from a single-frame fringe pattern. The introduction of deep learning techniques has significantly enhanc...
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Sleep Apnea Syndrome (SAS) is a prevalent sleep-related disorder that poses multiple health risks. Traditional detection methods, relying on polysomnography (PSG), are cumbersome and time-consuming, creating a pressin...
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