Essays about: "network industry"
Showing result 11 - 15 of 1018 essays containing the words network industry.
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11. Implicit Message Integrity Provision : In Heterogeneous Vehicular Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Vehicles on the road today are complex multi-node computer networks. Security has always been a critical issue in the automotive computing industry. It is becoming even more crucial with the advent of autonomous vehicles and driver assistant technology. There is potential for attackers to control vehicles maliciously. READ MORE
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12. A Multi-camera based Next Best View Approach for Semantic Scene Understanding
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Robots are becoming more common; robotics has gone from bleeding-edge technology to an everyday topic that families discuss around thedinner table.The number of robots in the industry is growing, which means thatthe demand and need for robots to understand the environment it isworking in is also growing. READ MORE
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13. Enhancing human-robot interaction using mixed reality
University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskapAbstract : Industry 4.0 is a new phase of industrial growth that has been ushered in by the quick development of digital technologies like the Internet of Things (IoT), artificial intelligence (AI), and robots. Collaborative robotic products have appeared in this changing environment, enabling robots to collaborate with people in open workspaces. READ MORE
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14. Product-Service Systems for Small and Medium-Sized Manufacturers: The Role of External Partnerships
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : The current patterns of consumption are threatening the availability of natural resources. These natural resources, such as raw materials and biomass, are critical for different economic activities. ProductService System (PSS) has received attention as a solution to drive resource efficiency by extending the life cycle of products. READ MORE
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15. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. READ MORE