Departments at LTH
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- 2024
-
Mark
Physics-Informed Reinforcement Learning Feasibility Study for Building Energy Optimization
(
- Prof. qual. >4 yrs
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Mark
Advanced Driver Assistance System (ADAS) for an Ultra-light Electric Vehicle
(
- Prof. qual. >4 yrs
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Mark
Producentansvar i byggbranschen
(
- Bach. Degree
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Mark
Graph Attention Network-Based Monitoring of Complex Operational Systems
(
- Prof. qual. >4 yrs
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Mark
Accelerated Segmentation with Mixed-Precision Quantization of EfficientViT-SAM
(
- Prof. qual. >4 yrs
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Mark
Embedded Model Predictive Control in ABB’s Distributed Control System: A qpOASES-Based Approach
(
- Prof. qual. >4 yrs
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Mark
Data-Driven Strategies for Improving Email Campaign Engagement: A Send Time Optimization Approach
(
- Master (Two yrs)
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Mark
Distributed Reinforcement Learning for Building Energy Optimization
(
- Prof. qual. >4 yrs
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Mark
Energiutvärdering av Flerbostadsområdet Hippocampus i Lund
(
- Master (Two yrs)
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Mark
The Impact of Unified Namespace in Industry 4.0
(
- Prof. qual. >4 yrs