The steel industry is a significant contributor to global carbon emissions, making the sustainability of it an important area of improvement. Existing decarbonisation solutions such as carbon capture, hydrogen-based s...
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ISBN:
(纸本)9781643684666;9781643684673
The steel industry is a significant contributor to global carbon emissions, making the sustainability of it an important area of improvement. Existing decarbonisation solutions such as carbon capture, hydrogen-based steelmaking and electrolysis have been explored but the potential of artificial intelligence, and specifically computer vision, is yet to be realised. computer vision has shown competence in a range of steelmaking applications but has not been linked to sustainability in the industry. This lack of awareness results in missed opportunities for sustainable development. The introduction of this paper connects computer vision to steelmaking and sustainability, which is followed by a literature review based on existing technologies, and the description of a future vision of steelmaking. The paper will be finalised with conclusions.
Recognizing the growing need for wireless communication solutions that can handle increasing traffic capacity, the abstract points out the limitations of traditional Radio Frequency (RF) solutions and suggests explori...
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The field of e dge d eployment of c onvolutional neural networks (CNNs) based on field-programmable g ate a rrays (FPGAs) requires extensive knowledge and complex steps. The advent of the hls 4 ml tool has greatly sim...
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作者：
Venkata Lavanya, T.Sivaraman, K.
Department of Computer Science and Engineering Tamil Nadu Chennai India
Dept of Computer Science and Engineering Tamil Nadu Chennai600073 India
The paper aims to establish a robust machine learning approach for accurately categorizing the level of physical activity based on data collected from wearable sensors. Data from more than 10,000 participants was gath...
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As in many applications, the energy sector is witnessing the migration of artificial intelligence (AI) algorithms from the cloud to the edge. This paper introduces a System-on-Chip (SoC) designed for energy control un...
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For the past several years, taking very large collections of images in everyday life has become more common. All audiovisual artifacts are more likely to be shared and collaborated on since images might come from vari...
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Amidst the dynamic landscape of online education, a notable response emerges to address the widespread utilization of academic lecture PDFs and the associated challenges confronting students. This initiative seeks to ...
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作者：
Garg, RuchiGulati, TarunMullana
Maharishi Markandeshwar Engineering College Department of Electronics and Communication Engineering Ambala India
Node localization is a requisite in wireless sensor networks (WSNs) because of their far-reaching applications in many fields like surveillance, tracking, security, etc. A major challenge for all these applications is...
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Advancements in neurotechnology and signal processing have revolutionized Brain-computer Interfaces (BCIs), enabling direct and functional connectivity between the human brain and computational systems. Particularly, ...
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This paper presents a pioneering web application that combines Inter Planetary File System (IPFS) and Blockchain technology to meet the increasing demand for secure, scalable, and decentralized data storage. The syste...
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