Essays about: "Use Optimisation"
Showing result 1 - 5 of 177 essays containing the words Use Optimisation.
-
1. Comparison of drone ecology and behavior between Apis mellifera mellifera and the hybrid Buckfast in southwestern Sweden
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : Most research on the biology of the western honey bee (Apis mellifera) focuses on the worker bees, but knowledge about drones is lacking despite their important role in mating with a virgin queen. Available information about their ecology and behavior are mainly based on direct observations in need of intensive experience and knowledge about honey bees. READ MORE
-
2. Semi-automatic Segmentation & Alignment of Handwritten Historical Text Images with the use of Bayesian Optimisation
University essay from Uppsala universitet/Avdelningen Vi3Abstract : To effortlessly digitise historical documents has risen to be of great interest for some time. Part of the digitisation is what is called annotating of the data. Such data annotations are obtained in a process called alignment which links words in an image to the transcript. READ MORE
-
3. Optimisation of warehouse for second-hand items using Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Warehouse management and organisation often use the popularity of items to assign placements in the warehouse and predict sales. However, when dealing with only unique second-hand items another solution is needed. READ MORE
-
4. Optimisation of the gas atomisation process used in aluminium powder production : To improve morphology by minimising satellite formations
University essay from KTH/MaterialvetenskapAbstract : There exists a lack of information and an exact understanding of the gas atomisation process resulting in the use of trial and error methods in the industry. The lack of information is the result of the difficulties in observing the actual process as it occurs, something that the use of computational fluid dynamics may be able to substitute. READ MORE
-
5. Machine Learning-Based Instruction Scheduling for a DSP Architecture Compiler : Instruction Scheduling using Deep Reinforcement Learning and Graph Convolutional Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Instruction Scheduling is a back-end compiler optimisation technique that can provide significant performance gains. It refers to ordering instructions in a particular order to reduce latency for processors with instruction-level parallelism. READ MORE