In the context of innovation-driven development and green low-carbon development, it has be-come an important research topic to help traditional manufacturing industries cope with green pressure and improve green perf...
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A monocular visual target localization method based on You Only Look Once v8 (YOLOv8) and Perspective-3-Point (P3P) for the RoboCup humanoid soccer robot competition is investigated. In this article, we propose a mono...
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The proceedings contain 12 papers. The topics discussed include: research and design of live working robot system in distribution network;robot exploration based on small areas priority strategy;complete-coverage path...
ISBN:
(纸本)9781450376921
The proceedings contain 12 papers. The topics discussed include: research and design of live working robot system in distribution network;robot exploration based on small areas priority strategy;complete-coverage path planning algorithm of multiple mobile robots based on reliability functions;a high telepresence visual perception method based on VR technology, depth camera and three degree of freedom series robot;active disturbance rejection control for the synchronizer engagement with a proportional pressure reducing valve;prospects of nuclear power plant operation and maintenance technology in the era of artificial intelligence;an extension research of Hamilton-Jacobi-Bellman equation;an adaptive resolution OctoMap method based on point cloud density analysis;and research on simulation and optimization technology of needle valve seating force of engine high pressure common rail injector.
Image inpainting is widely used to restore the originality of the image by filling in the missing parts of the image, removing the mask or text in the picture, and clearing tiny scratches that cause damage to the old ...
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With the progress of Integrated Circuit technology and the multiple needs of human for scalar and reconfigurable operations in intelligent electronic system, a new chip architecture combining traditional FPGA and embe...
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Image Quality Assessment (IQA) has got importance in the computer vision applications as it provides tool to evaluate and rate different image processing algorithms. Image Fusion is a process in which information from...
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Focus is an advanced module in YOLOv5. However, no detailed work has been published to demonstrate its effectiveness so far. In this paper, we analyze the Focus module from two respects, FLOPs and receptive field, and...
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Due to the long pipeline distance and weak signals, achieving precise localization of partial discharge occurring in GIL (Gas-Insulated Line) is challenging. This paper conducts key technological research on the autom...
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Assessing machine-learning algorithms for texttype responsibilities is critical to advancing the world of herbal language processing (NLP). As using applications that use NLP grows, so does the want to pick the maximu...
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In recent years there is an ever increasing demand for digitisation to increase efficiencies and reduce the need for human intervention. The pandemic crisis has exponentially increased and promoted the digitization tr...
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ISBN:
(纸本)9798350303360
In recent years there is an ever increasing demand for digitisation to increase efficiencies and reduce the need for human intervention. The pandemic crisis has exponentially increased and promoted the digitization trends such as incorporation of Artificial intelligence. Two interconnected technologies Artificial intelligence and Machine Learning are further expected to drive competitive advantages for industries such as finance. Historically, reviewing the economics has evolved from qualitative to quantitative, that is, from working on a small sample data to processing vast amounts of data. The arrival of artificial intelligence (AI) is expected to cause major changes in the existing paradigm of the audit profession, ensuring greater reliability and security in financial statement analysis. Identifying the benefits of AI, investors are adopting deep learning models to forecast and assess stock and currency markets. AI deep learning models aid in the realization of intelligent decision-making in economics due to their superiority in learning intrinsic law and representational level. With the advancement of deep learning, we are convinced that economic decision-making will become more intelligent, which will enable potential of AI taking the roles such as financial advisor and insurance advisor. Unfortunately, no study has provided a comprehensive examination of this research to far, and hence with an aim to tackle this challenge, we provide an in-depth overview of Artificial intelligence & Machine Learning in Finance, history of finance, its evolution, past developments, latest trends around the world and research directions while offering outline of latest existing literature and existing applications seen around the world as well as potential applications. We have also identified the challenges faced by researchers to obtain & process quality financial data. Based on the previous analysis, we also highlight prospective future research pathways in this field. The p
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