computer vision and the Internet of Things have led to significant advancements in student attendance monitoring. In this work, an innovative system has been designed to facilitate real-time, automated student attenda...
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Effective object detection and tracking are essential for prompt and precise rescue operations in water-based emergency response scenarios. Acknowledging this necessity, this paper introduces an innovative method usin...
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Heart attacks are a leading cause of death worldwide, making it a necessity to develop accurate prediction systems for timely intervention and prevention. This paper addresses the challenge of heart attack prediction ...
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Acne detection and severity scoring remain challenging due to the scarcity of labeled data and inconsistencies caused by varying skin tones and lighting conditions. While recent advancements using deep learning models...
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In the recent decade,many approaches of rough line drawing simplification were proposed,but they are not well summarized yet,especially from the perspective of Chinese cultural *** this paper,a comprehensive review of...
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In the recent decade,many approaches of rough line drawing simplification were proposed,but they are not well summarized yet,especially from the perspective of Chinese cultural *** this paper,a comprehensive review of existing line drawing simplification methods was presented,including their algorithms,advantages/disadvantages,inputs/outputs,datasets and source codes,*** raster line drawings,related simplification work was discussed according to four main categories:fitting-based methods,tracing-based methods,field-based methods,and learning-based *** vector line drawings,a deep investigation was introduced for two major steps of simplification:stroke grouping and stroke ***,conclusions were given,key challenges and future directions of line drawing simplification for Chinese traditional art were thoroughly discussed.
It is essential to ensure secure and easy user authentication in the domain of financial applications. Conventional techniques frequently fall short of offering strong security without sacrificing user pleasure. This ...
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The independent set reconfiguration problem (ISReconf) is the problem of determining, for two given independent sets of a graph, whether one can be transformed into the other by repeatedly applying a prescribed reconf...
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Although deep neural networks have demonstrated exceptional performance in various fields, especially in image processing, they still face some significant unresolved challenges. Catastrophic forgetting is one of the ...
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The quality of human life is improving over a period of time with the technological advancements in the arena of Artificial Intelligence and Internet of Things. Various fields adopt and implement automation process fo...
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Making house calls is very crucial to deal with the competitive pressures of the service business and to improve service quality. We design a model called service routing problem with time windows and stochastic servi...
Making house calls is very crucial to deal with the competitive pressures of the service business and to improve service quality. We design a model called service routing problem with time windows and stochastic service time (SRPTW-SST) that is based on vehicle routing problem with time windows (VRPTW). A self-adaptive discrete Cuckoo Search Algorithm with genetic mechanism (sDCS-GM) is proposed for the SRPTW-SST. We design a selection mechanism to improve the logicality of the algorithm based on the strong randomness of the Lévy flight. We introduce a genetic mechanism and design a neighborhood search mechanism for improving therobustness of the algorithm. An adaptive parameter adjustment method is designed to eliminate the impact of fixed parameters. The experimental results show that the s DCS-GM algorithm is more robust and effective than the state-of-the-art methods.
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