With the proposal of Albert model and the fusion application of Textcnn model, the ability of emotion analysis has been greatly improved. However, the Albert-TextCNN model is limited in its capacity to identify key wo...
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A complicated neurological illness, autism spectrum disorder (ASD) impacts social skills, communication, and other behavioral elements. Because the symptoms of ASD might be confused with those of other mental health c...
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Comprehensive evaluation problems can be seen everywhere in life, and there are many comprehensive evaluation methods. Among them, the intermediate truth value measurement method based on fuzzy mathematics is one of t...
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Frameworks based on computer vision can be deployed for innumerable tasks assisting the vehicle driver, as such the ADAS has its roots emerging from such deep learning algorithms and CNN architectures. In this paper, ...
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Eye tracking is an essential functionality to enable extended reality (XR) applications. However, the latency and power constraints of an XR headset are tight. Unlike fix-rate frame-based RGB cameras, the event camera...
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Text summarization plays a pivotal role in condensing crucial information from huge volumes of text. This study investigates the utilization of pre-trained transformer models within the domain of text summarization, w...
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The wireless body area network (WBAN) plays a vital role in the application of smart health care. However, due to the openness of wireless networks, the potential threats posed by attackers increase concerns about the...
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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
As a deep learning framework for distributed deployment, federated learning allows users to complete model training while retaining the original data, which meets the local data privacy protection needs of each user. ...
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Face recognition technology plays a major role in identification of a person and a subset of machine vision. Managing the attendance manually becomes a time-consuming and challenging operation in our day-to-day life. ...
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