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Showing result 6 - 10 of 242 essays matching the above criteria.
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6. Towards Adaptive Image Resolution for Visual SLAM on Resource-constrained Devices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Today, a large number of devices with small form factors and limited resources are being integrated with processes to perform complex tasks such as localization and mapping. One example of this are headsets used for Extended Reality. READ MORE
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7. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. READ MORE
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8. Adapting the New Procurement Strategies in the Face of Disruption:How organizational ambidexterity enhanced the SCRES during Covid-19?
University essay from Jönköping University/IHH, Centre of Logistics and Supply Chain Management (CeLS)Abstract : Background: Organizations have established risk management strategies to prevent disruptions; nevertheless, the disruptions created by Covid-19 proved that existing risk management procedures are insufficient to absorb that kind of disruption. As these supply chain activities were mainly scattered across a limited geographical region, they substantially impacted businesses' procurement operations. READ MORE
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9. Evolutionary Belief Rule based Explainable AI to Predict Air Pollution
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis presents a novel approach to make Artificial Intelligence (AI) more explainable by using a Belief Rule Based Expert System (BRBES). A BRBES is a type of expert system that can handle both qualitative and quantitative information under uncertainty and incompleteness by using if-then rules with belief degrees. READ MORE
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10. Construction and Control of a 3-axisAutomated Liquid Sampling UnitUtilizing Hybrid Stepper Motors
University essay from KTH/Mekatronik och inbyggda styrsystemAbstract : High accuracy autonomous positioning systems are becoming increasingly important in today’s chemical industry because they can obtain precise experiment results automatically and hence allow lab technicians to focus on other tasks concurrently. One time consuming process is the process of sampling chemical test results into the correct container, especially when the tests are many and infrequent. READ MORE