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Titlebook: Innovations in Computer Vision and Data Classification; From Pandemic Data A Arfan Ghani Book 2024 European Alliance for Innovation 2024 Da

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書(shū)目名稱(chēng)Innovations in Computer Vision and Data Classification
副標(biāo)題From Pandemic Data A
編輯Arfan Ghani
視頻videohttp://file.papertrans.cn/477/476143/476143.mp4
概述Explores advancements in data classification, including FPGA acceleration and computer vision-based diagnosis.Presents data classification with real-world examples from healthcare, environmental scien
叢書(shū)名稱(chēng)EAI/Springer Innovations in Communication and Computing
圖書(shū)封面Titlebook: Innovations in Computer Vision and Data Classification; From Pandemic Data A Arfan Ghani Book 2024 European Alliance for Innovation 2024 Da
描述.This book delves into the dynamic realm of data classification, focusing on its real-world applications. Through an insightful journey, readers are introduced to the practical applications of reconfigurable hardware, machine learning, computer vision, and neuromorphic circuit design across diverse domains. The author explores topics such as the role of Field-Programmable Gate Arrays (FPGAs) in expediting pandemic data analysis and the transformative impact of computer vision on healthcare. Additionally, the book delves into environmental data classification, energy-efficient solutions for deep neural network applications, and real-time performance analysis of energy conversion algorithms. With the author‘s guidance, readers are led through practical implementations, ensuring a comprehensive grasp of each subject matter. Whether a seasoned researcher, engineer, or student, this book equips readers with the tools to make data-driven decisions, optimize systems, and innovate solutions across various fields, from healthcare to environmental monitoring.?.
出版日期Book 2024
關(guān)鍵詞Data classification; Computer vision; Hardware accelerators; Reconfigurable hardware; Neural networks
版次1
doihttps://doi.org/10.1007/978-3-031-60140-8
isbn_softcover978-3-031-60142-2
isbn_ebook978-3-031-60140-8Series ISSN 2522-8595 Series E-ISSN 2522-8609
issn_series 2522-8595
copyrightEuropean Alliance for Innovation 2024
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A System-Level Approach to Sustainable Low Power Sensing: Meeting United Nations Sustainable Developter concludes with a comprehensive presentation of the entire system design of the sensor node, including experimental results, and a discussion on evaluating energy-harvesting blocks with a power consumption budget allocation.
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Computer Vision-Based Automated Diagnosis for Skin Cancer Detection,elanoma. With this increase in the incidence of skin cancer, several techniques have been investigated. Although dermoscopy is a powerful technique for the diagnosis of late-stage melanoma, early-stage identification of melanoma is crucial for preventing metastasis, which can significantly improve t
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Arfan Ghani,Aravind Bommalataand ethical debates in clinical development, such as how aggressively to design early phase studies, when to initiate randomized trials, and reporting requirements for early phase studies. We close by discussing some limitations of the concept of ensemble space.
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Saad Qasim Khan,Syeda Quratul Ain,Arfan Ghanince to give assent and who should be in charge of it. Our empirical findings indicate that parents want to give children a voice in the decision-making regarding research participation. Even though the child’s competence to rationally understand the research protocol is primarily discussed in the li
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