Placements are of utmost significance to academic organizations and college students. A strong foundation for the professional field is built up for the student beforehand, and a positive placement report gives a scho...
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Nowadays, diabetes mellitus is a worldwide health concern that is becoming more common. Therefore, for better early detection techniques (Machine Learning) is need of hour. Six machine learning algorithms are applied ...
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The emergence of sixth generation (6G) mobile networks is poised to transform global communication by providing unmatched speed, dependability, and sophisticated network management. This study examines the essential f...
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A revolutionary technology that merges the real and virtual worlds is called a "cyber-physical system" (CPS). This article provides a comprehensive examination of CPS with an emphasis on its design principle...
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The shift to Industry 5.0 emphasizes human-machine collaboration, personalization, sustainability, and worker support. This paper explores integrating Digital Twins (DT) and Cyber-physical Production Systems (CPPS) wi...
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ISBN:
(纸本)9783031807749;9783031807756
The shift to Industry 5.0 emphasizes human-machine collaboration, personalization, sustainability, and worker support. This paper explores integrating Digital Twins (DT) and Cyber-physical Production Systems (CPPS) within a human-centric Smart Manufacturing framework. Digital Twins offer real-time prediction, simulation, and optimization, enhancing production efficiency and adaptability. CPPS merges computational and physical processes, supporting human-machine collaboration and improved decision-making. The main objective is to enhance sustainability, efficiency, and human-centricity in data-driven manufacturing. This research reviews current technologies, proposes a novel framework integrating DT and CPPS, and assesses implementing a Smart Product (SP) within a Smart Factory (SF) scenario. Key innovations include designing and integrating SPs, developing smart manufacturing processes, and applying DT for enhanced SP functionality. The findings demonstrate improvements in production efficiency, customization, human-machine collaboration, and sustainability, aligning with Industry 5.0 principles. The study concludes with recommendations for future research to integrate ergonomics, cybersecurity, and ethical considerations in smart manufacturing.
This research explores the integration of advanced AI technologies, specifically Google's Gemini-1.5-Flash-001 model and Vertex AI, into the development of EcoTrack-a mobile application that helps users monitor an...
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Word recognition stands as a pivotal element within natural language processing (NLP) and machine learning, crucial for diverse applications ranging from automatic speech recognition to optical character recognition a...
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Athletes need to train both physical and mental abilities to enhance performance. While technologies such as sensors and actuators have mainly focused on physical training, few solutions support mental training. Virtu...
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The integration of machine learning (ML) and Internet of Things (IoT) technologies has a scope of improvement in precision farming techniques and revolutionise the agriculture sector. This research paper examines the ...
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Unprecedented capabilities for content generation, predictive analytics, and automation are made available by the introduction of Generative Artificial Intelligence (AI) technologies, which uses in a new age of indust...
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