Essays about: "challenge of IT application"
Showing result 11 - 15 of 311 essays containing the words challenge of IT application.
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11. Method Development & Analysis of Seals using FEM
University essay from KTH/MaskinkonstruktionAbstract : Hyperelasticity is a significant property of rubber, taken advantage of in engineering applications. A common application is the use of seals to prevent fluid transfer (liquid or gas) between solid regions. Volvo CE is often depending on external supplier when developing seals. READ MORE
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12. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. READ MORE
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13. Big Data Visualization in Extended Reality
University essay from Lunds universitet/Institutionen för designvetenskaperAbstract : Effectively utilizing Big Data can be a challenge for many companies. Due to its volume, many aspects of the data processing pipeline such as storage, retrieval and usage may quickly become problematic. For example, it could be difficult identifying the relevant metrics when analyzing a service failure. READ MORE
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14. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices
University essay from Lunds universitet/Matematisk statistikAbstract : Traditionally fault detection in industrial machinery has been performed manually by experienced machine operators listening to the machines. However, it is desirable to automate this process to increase efficiency and improve the working environment of the operators. READ MORE
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15. Low-power Implementation of Neural Network Extension for RISC-V CPU
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE